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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Built Environ.</journal-id>
<journal-title>Frontiers in Built Environment</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Built Environ.</abbrev-journal-title>
<issn pub-type="epub">2297-3362</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-id pub-id-type="publisher-id">1625764</article-id>
<article-id pub-id-type="doi">10.3389/fbuil.2025.1625764</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Built Environment</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Enhancing indoor air quality resilience in social housing: Investigating temperature and humidity effects on HCHO emissions in Dubai</article-title>
<alt-title alt-title-type="left-running-head">Jung et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fbuil.2025.1625764">10.3389/fbuil.2025.1625764</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Jung</surname>
<given-names>Chuloh</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>El Samanoudy</surname>
<given-names>Gamal</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Abdelaziz Mahmoud</surname>
<given-names>Naglaa Sami</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Architecture, Prince Mohammad bin Fahd University</institution>, <addr-line>Alkhobar</addr-line>, <country>Saudi Arabia</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Interior Design, Ajman University, Healthy and Sustainable Built Environment Research Center</institution>, <addr-line>Ajman</addr-line>, <country>United Arab Emirates</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1888574/overview">Lindita Bande</ext-link>, United Arab Emirates University, United Arab Emirates</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/300906/overview">Sahar Zahiri</ext-link>, Oxford Brookes University, United Kingdom</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1909606/overview">Roberto Alonso Gonz&#xe1;lez-Lezcano</ext-link>, CEU San Pablo University, Spain</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Naglaa Sami Abdelaziz Mahmoud, <email>n.abdelaziz@ajman.ac.ae</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>11</volume>
<elocation-id>1625764</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Jung, El Samanoudy and Abdelaziz Mahmoud.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Jung, El Samanoudy and Abdelaziz Mahmoud</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Indoor air quality (IAQ) is a critical determinant of public health, particularly in rapidly urbanizing regions where residents spend most of their time indoors. Formaldehyde (HCHO), a pollutant released from building materials and furnishings, has been linked to respiratory problems and sick building syndrome, making its control essential for sustainable housing. This study investigates the relationships between HCHO emissions and temperature and humidity in newly constructed residential houses in Dubai, utilizing single-point measurements in 50 houses and continuous monitoring in three representative houses. A distinctive feature of this research is the integration of large-scale cross-sectional data with continuous temporal monitoring, applied in the context of Dubai&#x2019;s housing, to capture both spatial and temporal dynamics of emissions under actual residential climate control practices. In contrast to controlled laboratory simulations, the study evaluates emissions under artificially and autonomously regulated indoor climates. Results show that in artificially controlled environments (temperatures maintained below 25 &#xb0;C), HCHO emissions correlate weakly with temperature but strongly with relative humidity, with concentrations increasing when RH falls below approximately 40%. Conversely, in autonomously controlled environments (temperatures above 25 &#xb0;C), temperature becomes the dominant factor, with emissions increasing as the temperature rises. This dual dependency underscores the need for adaptive IAQ strategies tailored to both seasonal conditions and household management practices. By integrating temporal and spatial data, the study highlights the role of housing characteristics and management history in shaping emission behavior and outlines applicable, low-energy strategies to support resilient IAQ management frameworks aligned with sustainability goals for social housing in the Arabian Gulf.</p>
</abstract>
<kwd-group>
<kwd>HCHO emission</kwd>
<kwd>IAQ</kwd>
<kwd>temperature dependency</kwd>
<kwd>humidity influence</kwd>
<kwd>artificial/ autonomous temperature control</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Indoor Environment</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Formaldehyde (HCHO) is a toxic compound of concern in indoor environments (<xref ref-type="bibr" rid="B30">Jung and Awad 2021a</xref>; <xref ref-type="bibr" rid="B7">Awad and Jung 2021</xref>). The sources of HCHO found in rooms are highly varied, and this compound, typically released from building materials and furniture, continues to be emitted over extended periods due to material characteristics (<xref ref-type="bibr" rid="B29">Jung and Al Qassimi, 2022</xref>; <xref ref-type="bibr" rid="B31">Jung and Awad, 2021b</xref>). Accordingly, it is necessary to investigate the factors influencing indoor HCHO generation and identify effective control measures (<xref ref-type="bibr" rid="B21">Dubai Municipality, 2024</xref>, pp. 6&#x2013;7; <xref ref-type="bibr" rid="B36">Jung et al., 2021c</xref>).</p>
<p>Dubai Municipality has established specific guidelines for indoor air quality to promote healthier living environments (<xref ref-type="bibr" rid="B6">Arar et al., 2022</xref>). These guidelines, known as HSD GU119&#x201c;Technical Guidelines for Indoor Air Quality (IAQ) for Healthy Life,&#x201d; were released in January 2023 (<xref ref-type="bibr" rid="B5">Arar and Jung 2022</xref>; <xref ref-type="bibr" rid="B21">Dubai Municipality, 2024</xref>). According to a Dubai Healthcare City report, 15% of Dubai residents have experienced symptoms of Sick Building Syndrome (SBS) caused by various indoor and outdoor air pollutants (<xref ref-type="bibr" rid="B56">Najini et al., 2020</xref>; <xref ref-type="bibr" rid="B32">Jung and Awad, 2023</xref>). In response, the Dubai Municipality initiated IAQ concentration standards (<xref ref-type="bibr" rid="B20">Dubai Municipality, 2022</xref>, p. 32). These standards specify that new houses, before occupancy, must have less than 0.08 ppm (parts per million) of HCHO, less than 300 &#x3bc;g/m<sup>3</sup> of Total Volatile Organic Compound (TVOC), and less than 150 &#x3bc;g/m<sup>3</sup> of Particulate Matter less than 10 microns (PM<sub>10</sub>) after 8 h of continuous monitoring (<xref ref-type="bibr" rid="B21">Dubai Municipality, 2024</xref>, pp. 31&#x2013;33). These regulatory efforts align with broader strategies for pollutant mitigation in dense urban housing, as outlined by <xref ref-type="bibr" rid="B28">Jung and Abdelaziz Mahmoud (2023)</xref>, who emphasize the role of ventilation design in maintaining healthy IAQ in Dubai&#x2019;s high-rise residences.</p>
<p>Previous studies have shown that HCHO emissions are influenced by environmental factors, including temperature and humidity (<xref ref-type="bibr" rid="B54">Mushtaha and Helmy, 2017</xref>; <xref ref-type="bibr" rid="B45">Liang et al., 2016a</xref>). This aligns with previous research, which has also emphasized the broader role of material emissions, ventilation strategies, and microclimatic conditions in shaping indoor air quality (<xref ref-type="bibr" rid="B10">Batterman et al., 2017</xref>; <xref ref-type="bibr" rid="B27">Hussien et al., 2023b</xref>; <xref ref-type="bibr" rid="B63">Tagliabue et al., 2021</xref>; <xref ref-type="bibr" rid="B68">Yang et al., 2020</xref>). However, explaining the mechanism behind the impact of microclimate factors on the behavior of building materials used in Dubai houses remains a methodological challenge (<xref ref-type="bibr" rid="B47">Maghrabie et al., 2021</xref>). This is primarily due to the use of diverse building materials with varying compositions, types, and histories in real houses, as well as the implementation of various construction methods for each material (<xref ref-type="bibr" rid="B42">Kaunelien&#x117; et al., 2016</xref>).</p>
<p>While temperature and humidity control in indoor environments are fundamental measures to reduce HCHO generation, the influence of these factors on HCHO levels in Dubai houses has not been sufficiently documented (<xref ref-type="bibr" rid="B33">Jung and El Samanoudy, 2023</xref>; <xref ref-type="bibr" rid="B2">Al Qassimi and Jung, 2022</xref>). In particular, understanding the characteristics of HCHO generation based on actual indoor temperature control practices in Dubai residences control practices can be an effective means of proposing control strategies in indoor environments, such as houses (<xref ref-type="bibr" rid="B55">Mushtaha et al., 2021</xref>).</p>
<p>Dubai experiences extremely hot, long, windy, and humid summers, with an average high temperature of around 40 &#xb0;C and overnight lows of around 30 &#xb0;C in August, the hottest month. The region generally experiences sunny days every year (<xref ref-type="bibr" rid="B37">Jung et al., 2022a</xref>). Winters are relatively mild, with an average high of 24 &#xb0;C and overnight lows of 14 &#xb0;C in January, the coolest month (<xref ref-type="bibr" rid="B34">Jung et al., 2021a</xref>).</p>
<p>Due to the widespread use of air conditioning, actual indoor temperature and humidity control are often highly restricted (<xref ref-type="bibr" rid="B41">Jung et al., 2022e</xref>). Previous studies have produced inconsistent results regarding the relationship between temperature, humidity, and the generation of chemicals in residential spaces (<xref ref-type="bibr" rid="B8">Awad et al., 2022</xref>). This inconsistency can be attributed to reporting results in different situations and under varying conditions (<xref ref-type="bibr" rid="B38">Jung et al., 2022b</xref>). Therefore, it is necessary to systematically discuss these results to address the diversity of experiments, investigations, and analysis methods (<xref ref-type="bibr" rid="B35">Jung et al., 2021b</xref>). Consequently, this study aims to propose a plan for controlling HCHO in residential indoor environments by analyzing the dependencies of HCHO emissions on temperature and humidity under actual indoor temperature control practices in Dubai residences. The research adopts a dual approach: single-point measurements conducted in 50 newly constructed houses and continuous monitoring in three representative houses. This combined design provides both broad cross-sectional insights and in-depth temporal analysis, enabling a more comprehensive understanding of emission behaviors. By linking emission patterns with actual residential management practices, the study contributes to the development of adaptive, context-specific strategies for mitigating indoor HCHO pollution in hot-climate housing.</p>
<p>Hazardous substances are predicted to volatilize within building materials in high-temperature environments, resulting in an increased generation of indoor pollutants (<xref ref-type="bibr" rid="B66">Wang et al., 2021</xref>). This prediction is based on the general theory that the vapor pressure of chemicals rises with higher temperatures and absolute humidity, leading to volatilization (<xref ref-type="bibr" rid="B67">Wen et al., 2018</xref>). A study conducted by <xref ref-type="bibr" rid="B61">&#x15a;mie&#x142;owska et al. (2017)</xref> revealed that the release of chemical substances indoors is influenced by both environmental characteristics and the properties of building materials (<xref ref-type="bibr" rid="B61">&#x15a;mie&#x142;owska et al., 2017</xref>). The previous research by <xref ref-type="bibr" rid="B43">Khoshnava et al. (2020)</xref> emphasized that building materials are the primary source of harmful chemical emissions in indoor environments (<xref ref-type="bibr" rid="B43">Khoshnava et al., 2020</xref>). Additionally, <xref ref-type="bibr" rid="B74">Farzanian et al. (2016)</xref> reported that the release of chemical substances from building materials is associated with their internal composition and that the material properties contribute to variations in release intensity (<xref ref-type="bibr" rid="B18">Dabous et al., 2022</xref>). In other words, the content within the material determines the volatilization of chemical substances, which further varies due to the distinct characteristics of each material (<xref ref-type="bibr" rid="B13">Celeiro et al., 2018</xref>).</p>
<p>The emission of chemicals from indoor building materials is influenced by microclimate factors, including temperature, humidity, and ventilation (<xref ref-type="bibr" rid="B25">Hermawan and &#x160;vajlenka, 2022</xref>). These environmental conditions may lead to differences in HCHO emission, particularly in response to indoor temperature control practices (<xref ref-type="bibr" rid="B58">Salthammer, 2019</xref>). In Dubai, indoor air conditioning is maintained consistently throughout the year due to seasonal characteristics (<xref ref-type="bibr" rid="B16">D&#x27;Agostino et al., 2020</xref>). However, adjustments like natural ventilation are commonly employed during winter to regulate indoor environmental conditions (<xref ref-type="bibr" rid="B53">Monge-Barrio et al., 2022</xref>). Therefore, it is necessary to effectively examine the relationship between indoor temperature control practices and the emission characteristics of hazardous chemicals in residential buildings to manage IAQ (<xref ref-type="bibr" rid="B26">Hussien et al., 2023a</xref>; <xref ref-type="bibr" rid="B57">Patino and Siegel, 2018</xref>).</p>
<p>Notably, previous studies addressing the dependence of chemical emissions on indoor temperature and humidity conditions for residential buildings often adopted methodologies involving multiple houses measured at a single point within each house (<xref ref-type="bibr" rid="B15">Coggins et al., 2022</xref>; <xref ref-type="bibr" rid="B22">F&#xf6;ldv&#xe1;ry et al., 2017</xref>; <xref ref-type="bibr" rid="B44">Langer et al., 2016</xref>). However, these studies do not consistently report a conclusive relationship between chemical release, temperature, and humidity (<xref ref-type="bibr" rid="B49">Mie et al., 2017</xref>; <xref ref-type="bibr" rid="B46">Liang et al., 2016b</xref>). This inconsistency is likely due to variations in measurement and environmental conditions as well as differences in management history (<xref ref-type="bibr" rid="B72">Zhang et al., 2019</xref>; <xref ref-type="bibr" rid="B42">Kaunelien&#x117; et al., 2016</xref>).</p>
<p>
<xref ref-type="bibr" rid="B12">Candanedo et al. (2017)</xref> examined how temperature and humidity dependencies differ when analyzed at the whole-house scale versus at the level of individual houses. It is preferable to analyze individual houses rather than all houses, as each house has distinct housing specifications and management histories (<xref ref-type="bibr" rid="B39">Jung et al., 2022c</xref>). Furthermore, the study aims to compare temperature&#x2013;humidity dependence trends using both single-point measurements in multiple houses and continuous measurements within the same house. This dual approach provides insights that support the development of effective control strategies to suppress the release of hazardous chemicals indoors.</p>
<p>This study presents several key contributions to the understanding and mitigation of indoor air pollutants in social housing, particularly within the context of the Arabian Gulf. First, it analyzes HCHO emission behaviors under actual residential temperature and humidity control conditions, capturing the influence of actual residential temperature management&#x2014;autonomous and artificial&#x2014;rather than relying on controlled laboratory simulations. Second, it employs a comparative measurement methodology, combining single-point and multi-day continuous measurements across 50 newly constructed houses to reveal temporal dynamics and spatial variability in pollutant emissions. Third, the findings challenge the conventional focus on temperature by identifying humidity as a critical regulatory factor in HCHO release, especially in environments where indoor temperatures remain below 25 &#xb0;C. Lastly, the study outlines applicable, low-energy mitigation strategies&#x2014;such as humidity regulation and seasonal control planning&#x2014;aligned with the climatic realities of the Arabian Gulf. As <xref ref-type="bibr" rid="B24">Gonz&#xe1;lez-Lezcano (2023)</xref> highlights, building design prepared for future environmental and health challenges must balance between energy efficiency and occupant health. This study advances that aim by providing empirically grounded insights applicable to the design of efficient and health-conscious social housing. These insights contribute to the development of resilient, sustainable IAQ management frameworks for social housing in hot, humid environments.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<p>In this research, the analysis focused on temperature control behavior and the number of measurement points in the indoor environment of residential houses. This focus is consistent with previous IAQ studies that examined measurement protocols in similar contexts (<xref ref-type="bibr" rid="B40">Jung et al., 2022d</xref>; <xref ref-type="bibr" rid="B1">Al Horr et al., 2016</xref>). To minimize content variations, measurements were taken in newly constructed apartments with identical finishing materials and completed construction before occupancy, a practice also emphasized in earlier work (<xref ref-type="bibr" rid="B42">Kaunelien&#x117; et al., 2016</xref>). The measurement points were categorized into two groups&#x2014;single measurement points and multiple consecutive measurement points&#x2014;following established approaches in housing IAQ research (<xref ref-type="bibr" rid="B22">F&#xf6;ldv&#xe1;ry et al., 2017</xref>). A single measurement point involves taking measurements at a specific time in a house (<xref ref-type="bibr" rid="B52">Molina et al., 2020</xref>). Multiple consecutive measurement points refer to continuous measurements at various locations within the same house (<xref ref-type="bibr" rid="B44">Langer et al., 2016</xref>). The temperature control behavior was divided into autonomous and artificial control (<xref ref-type="bibr" rid="B69">Yousefi et al., 2017</xref>). These represent actual residential temperature management practices, in contrast to laboratory-imposed simulations. Autonomous temperature control refers to the natural adjustment of temperature without the use of air conditioning, relying on external air influences (<xref ref-type="bibr" rid="B17">D&#x27;Orazio and Maracchini, 2019</xref>). On the other hand, artificial temperature control involves deliberately manipulating the temperature using mechanical systems (<xref ref-type="bibr" rid="B73">Zhao et al., 2021</xref>).</p>
<p>Thus, the study focused on the relationship between temperature control behavior, humidity variations, and HCHO emissions, particularly emphasizing how different measurement methodologies capture IAQ dynamics (<xref ref-type="bibr" rid="B19">Dodson et al., 2017</xref>). Since temperature and humidity interact in real-world settings, the study systematically categorized measurements based on control mechanisms and the number of measurement points to analyze their impact on IAQ. The experiments and analyses were structured into six measurement scenarios, categorized by control type (artificial or autonomous) and measurement design (single or multiple points, including constant temperature maintenance).<list list-type="simple">
<list-item>
<p>1. Single measurement point with artificial temperature control (the artificial control section), where the effects of manually regulated temperature on IAQ were observed while monitoring humidity fluctuations.</p>
</list-item>
<list-item>
<p>2. A single measurement point with autonomous temperature control (the autonomous control section) allows for examining naturally occurring temperature and humidity interactions.</p>
</list-item>
<list-item>
<p>3. A single measurement point with total temperature control captures the overall indoor climate effects on HCHO emissions.</p>
</list-item>
<list-item>
<p>4. Multiple consecutive measurement points with artificial temperature control, enabling a time-dependent analysis of temperature-humidity-IAQ interactions under regulated conditions.</p>
</list-item>
<list-item>
<p>5. Multiple consecutive measurement points with autonomous temperature control provide insights into how environmental temperature changes over time influence IAQ.</p>
</list-item>
<list-item>
<p>6. Multiple consecutive measurement points with artificial constant temperature maintenance, allowing for a controlled assessment of long-term stability in IAQ under fixed temperature conditions.</p>
</list-item>
</list>
</p>
<sec id="s2-1">
<title>2.1 Target buildings</title>
<p>The study was conducted in 50 residential houses across multiple districts in Dubai. The selected homes were categorized based on their proximity to major environmental influences, including industrial areas, highways, and coastal regions. The sampling locations were selected to capture a range of indoor air quality conditions, encompassing both urban and suburban settings.</p>
<p>
<xref ref-type="fig" rid="F1">Figure 1</xref> presents the spatial distribution of the 50 monitored houses, mapped using ArcGIS. The overlay highlights key environmental features such as proximity to major roads, industrial zones, and coastal areas, providing context for potential external influences on indoor air quality.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Spatial Distribution of the 50 Monitored Houses in Dubai. The map illustrates geographic locations with overlays of major roads, industrial zones, and coastal areas. This spatial representation contextualizes potential microclimatic influences&#x2014;such as coastal humidity, urban heat island effects, and industrial emissions&#x2014;on indoor air quality and formaldehyde behavior.</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g001.tif">
<alt-text content-type="machine-generated">A black and white aerial view of a residential area with labeled locations. The map highlights several sites with blue and red dots, including Sobha Creek Vistas Reserve, Sobha Hartland One Park Avenue, and Sobha Hartland Wilton Terraces. Highways and surrounding infrastructure are visible.</alt-text>
</graphic>
</fig>
<sec id="s2-1-1">
<title>2.1.1 Single measurement house</title>
<p>For the single-measurement houses, we focused on 50 newly constructed residential units developed by Sobha Realty in Dubai between 2021 and 2023. These units were selected approximately 30 days before occupancy, in accordance with Dubai Municipality protocols for pre-handover indoor air quality assessment, a timing that is also consistent with approaches adopted in previous IAQ studies (<xref ref-type="bibr" rid="B51">Mohamed et al., 2021</xref>). This timing ensured that HCHO emissions captured in the study reflected emissions from construction and finishing materials without interference from occupant behavior or furnishings.</p>
<p>All 50 houses were sourced from various Sobha Hartland and Creek Vistas developments. Choosing a single developer allowed us to maintain consistency in construction materials, building systems, and quality control, reducing variability due to differences in design, finish, or project management (<xref ref-type="bibr" rid="B3">Alonso et al., 2021</xref>). This uniformity strengthens the reliability of comparative analysis across different environmental and seasonal conditions.</p>
<p>To ensure representative coverage, the homes were selected across multiple districts and building types, accounting for different urban contexts (e.g., proximity to highways, coastal zones, and industrial areas). The sample was divided by seasonal conditions, with 26 houses measured during summer and 24 during winter, and further categorized by temperature control type (artificial vs autonomous) (<xref ref-type="bibr" rid="B50">Militello-Hourigan and Miller, 2018</xref>; <xref ref-type="bibr" rid="B9">Barbosa et al., 2020</xref>).</p>
<p>This sampling strategy provided a controlled yet ecologically valid dataset, offering a robust foundation for analyzing real-world HCHO behavior in Dubai&#x2019;s residential housing sector.</p>
<p>A summary of the retrofit interventions for each building is provided in <xref ref-type="table" rid="T1">Table 1</xref>, detailing insulation materials, window types, ventilation upgrades, and airtightness improvements.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Summary of retrofit measures across the five studied building blocks.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Building Id</th>
<th align="left">Wall insulation</th>
<th align="left">Roof insulation</th>
<th align="left">Windows</th>
<th align="left">Airtightness</th>
<th align="left">Ventilation upgrade</th>
<th align="left">Notes</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">B1</td>
<td align="left">EPS 12 cm</td>
<td align="left">XPS 10 cm</td>
<td align="left">Double-glazed low-E</td>
<td align="left">Yes</td>
<td align="left">No</td>
<td align="left">No mechanical system present</td>
</tr>
<tr>
<td align="left">B2</td>
<td align="left">EPS 14 cm</td>
<td align="left">Mineral Wool 12 cm</td>
<td align="left">Triple-glazed low-E</td>
<td align="left">Yes</td>
<td align="left">Yes (MEV)</td>
<td align="left">Added passive vents in wet zones</td>
</tr>
<tr>
<td align="left">B3</td>
<td align="left">EPS 10 cm</td>
<td align="left">XPS 8 cm</td>
<td align="left">Double-glazed</td>
<td align="left">Yes</td>
<td align="left">No</td>
<td align="left">Stack ventilation maintained</td>
</tr>
<tr>
<td align="left">B4</td>
<td align="left">Mineral Wool 12 cm</td>
<td align="left">None</td>
<td align="left">Double-glazed</td>
<td align="left">Partial</td>
<td align="left">No</td>
<td align="left">Retrofit constrained by building height</td>
</tr>
<tr>
<td align="left">B5</td>
<td align="left">EPS 12 cm</td>
<td align="left">XPS 10 cm</td>
<td align="left">Double-glazed low-E</td>
<td align="left">Yes</td>
<td align="left">Yes (HRV)</td>
<td align="left">Full retrofit pilot project</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>EPS, expanded polystyrene; XPS, extruded polystyrene; MEV, mechanical extract ventilation; HRV, heat-recovery ventilation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2-1-2">
<title>2.1.2 Multiple measurement house</title>
<p>Continuous temperature, humidity, and HCHO measurements were conducted in three representative houses: Sobha Creek Vistas Reserve (VR), Sobha Creek Vistas Tower A (TA), and Sobha Creek Vistas Tower B (TB). These homes were selected to capture detailed, multi-day data on temporal emission patterns under various indoor climate control scenarios. The continuous measurement approach complements the broader snapshot-based assessment of 50 homes by providing deeper insight into the dynamic behavior of pollutants over time.</p>
<p>The three selected homes represent varied temperature control types (autonomous, artificially controlled, and constant temperature), indoor layouts, and floor levels (VR &#x2013; 12th floor, TA &#x2013; 16th floor, TB &#x2013; 15th floor). At the same time, all maintain a uniform area of 87 m<sup>2</sup>. This selection was deliberate to ensure environmental comparability while allowing analysis of distinct microclimate conditions. These homes were part of the same development and constructed approximately 30 days before their expected occupancy approval date, aligning with Dubai Municipality&#x2019;s air quality inspection timeline (<xref ref-type="bibr" rid="B60">Singer et al., 2020</xref>).</p>
<p>Continuous measurements were conducted from February 8 to 29, 2022, to capture seasonal fluctuations and maintain controlled indoor settings. Environmental factors, such as ventilation and air circulation, were consistent across all homes, thereby minimizing external variability.</p>
<p>Only three homes were selected for this intensive monitoring due to the high resource requirements and logistical constraints of deploying continuous data logging equipment over extended periods. Additionally, access permissions and equipment calibration needs limited the number of feasible setups. However, these homes were strategically selected to reflect contrasting thermal behaviors and management conditions, thereby enhancing the study&#x2019;s explanatory power despite the smaller sample size.</p>
<p>By combining extensive single-point measurements with targeted continuous monitoring, the study achieves both wide coverage and in-depth analysis, ensuring robust and context-relevant insights into indoor HCHO emissions in Dubai&#x2019;s residential environments.</p>
</sec>
<sec id="s2-1-3">
<title>2.1.3 Building layouts and measurement locations</title>
<p>To enhance spatial understanding, images of the fa&#xe7;ades of each target building have been included to illustrate their architectural characteristics (<xref ref-type="fig" rid="F2">Figure 2</xref>). Additionally, a floor plan of the measured residential units has been provided (<xref ref-type="fig" rid="F3">Figure 3</xref>), marking the locations where HCHO measurement equipment was placed. These floor plans detail the positioning of temperature and humidity sensors, ventilation systems, and indoor air circulation pathways, ensuring transparency in measurement conditions. Including these visuals strengthens the study&#x2019;s methodology by offering a more precise representation of environmental factors affecting IAQ measurements.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Sobha creek vistas fa&#xe7;ade in dubai.</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g002.tif">
<alt-text content-type="machine-generated">Two tall residential buildings with the name &#x22;Sobha&#x22; visible. The left building is partially obscured by trees with a crane nearby, under a blue sky with some clouds. The right image shows two similar towers, surrounded by more greenery, set against a sky transitioning from blue to a pink hue.</alt-text>
</graphic>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Sobha tower plan showing the measurement point in the living area.</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g003.tif">
<alt-text content-type="machine-generated">Floor plan of an apartment featuring two bedrooms, two bathrooms, a combined living, dining, and kitchen area marked as a measurement point, and a balcony. The rooms have specified dimensions in millimeters.</alt-text>
</graphic>
</fig>
<p>This spatial distribution analysis is critical because microclimatic factors&#x2014;such as higher humidity in coastal districts, heat accumulation in highway-adjacent zones, and varying ventilation opportunities in industrial surroundings&#x2014;can significantly influence HCHO emissions. Incorporating these locational contexts ensures that the measured differences are interpreted not only as house-specific variations but also as reflections of broader microclimatic conditions.</p>
</sec>
</sec>
<sec id="s2-2">
<title>2.2 Measurement of indoor air temperature, humidity, and HCHO</title>
<p>The indoor temperature and humidity in the single-measurement houses (50 houses) were measured simultaneously and at the exact location as the HCHO measurements (<xref ref-type="bibr" rid="B4">Alonso et al., 2022</xref>). For the multiple measurement houses (three houses), daily average data were calculated using temperature and humidity measurements taken at 30-minute intervals from 9:00 a.m. to 8:00 p.m. (<xref ref-type="bibr" rid="B48">Mendell et al., 2018</xref>). A digital thermo-hygrometer (Boston Instruments, U.S.) was employed to measure temperature and humidity, and each house underwent two rounds of repeated measurements (<xref ref-type="bibr" rid="B59">Singer et al., 2017</xref>).</p>
<p>HCHO was measured at the center point of the living room after 30 min of ventilation, followed by a 5-h sealing process, by the WHO test method for single-measurement houses (<xref ref-type="bibr" rid="B71">Zhang and Srinivasan, 2020</xref>). However, HCHO was continuously measured at the center point of the living room without any ventilation or airtight procedures for the house&#x2019;s continuous measurements (<xref ref-type="bibr" rid="B62">Sui et al., 2021</xref>). HCHO measurements were taken twice, and the average value was calculated and utilized for analysis (<xref ref-type="bibr" rid="B45">Liang et al., 2016a</xref>).</p>
<p>For indoor air collection, carbonyl compounds were collected using an LpDNPHS10L cartridge (Supelco Inc., U.S.) (<xref ref-type="bibr" rid="B14">Chi et al., 2016</xref>). During this process, 21.0 L of indoor air from the living room were collected at a flow rate of 700 mL/min, utilizing a sampling pump equipped with a flow control device (<xref ref-type="bibr" rid="B70">Yu et al., 2017</xref>). For sample extraction, the DNPH-carbonyl derivative formed through reaction with DNPH was extracted using 5 mL of HPLC-grade acetonitrile, and immediate analysis was conducted following the extraction (<xref ref-type="bibr" rid="B64">Trocquet et al., 2019</xref>). The study of HCHO from the extracted DNPH derivatives was performed using High-Performance Liquid Chromatography (HPLC, Shimadzu) (<xref ref-type="bibr" rid="B60">Singer et al., 2020</xref>).</p>
</sec>
<sec id="s2-3">
<title>2.3 Measurement protocol</title>
<p>The measurements were conducted in both single- and multi-measurement houses across seasonal periods. For the multi-measurement group, continuous monitoring was conducted over 21 days. For the single-measurement group, 24-hour controlled-condition data were collected.</p>
<sec id="s2-3-1">
<title>2.3.1 Sensor placement</title>
<p>All indoor sensors were placed in the main living room of each flat at breathing zone height (approximately 1.1&#x2013;1.5 m from the floor). Sensors were positioned away from windows, doors, heating/cooling vents, direct sunlight, and any appliances that could distort readings. This setup ensured consistency across houses and minimized localized environmental interference.</p>
</sec>
<sec id="s2-3-2">
<title>2.3.2 Outdoor environmental conditions</title>
<p>Daily outdoor weather data, including temperature, relative humidity, and solar radiation, were collected from the nearest public meteorological station to contextualize indoor environmental patterns. These values were used to describe seasonal conditions but were not directly included in the regression or correlation models.</p>
</sec>
<sec id="s2-3-3">
<title>2.3.3 Occupancy and ventilation behavior</title>
<p>Basic information about flat occupancy was self-reported by residents. Pre- and post-measurement surveys were conducted to assess window opening behavior, use of mechanical ventilation, and general thermal comfort preferences. However, continuous monitoring of window states or occupant movement was not conducted due to privacy and equipment constraints.</p>
</sec>
<sec id="s2-3-4">
<title>2.3.4 Measurement duration recap</title>
<p>Multi-measurement homes were monitored continuously over a 21-day period. Single-measurement homes were observed for 24-hour intervals under controlled thermal conditions. Each house followed a uniform measurement protocol during the assigned monitoring period.</p>
</sec>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Temperature, humidity, and HCHO emission characteristics of a single measurement house</title>
<p>
<xref ref-type="table" rid="T2">Table 2</xref> summarizes temperature, humidity, and HCHO dependence across control conditions, highlighting seasonal and methodological variations. In this section, we analyze the emission characteristics of HCHO with variations in temperature and humidity. The data for this analysis were obtained from measurements taken 30 days before occupancy in newly constructed houses from 2021 to 2023.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Summary of temperature, humidity, and HCHO dependence across different control conditions.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Measurement condition</th>
<th align="left">Temperature (mean &#xb1; SD) in &#xb0;C</th>
<th align="left">Humidity (mean &#xb1; SD) in %</th>
<th align="left">HCHO dependence on temperature (R<sup>2</sup>)</th>
<th align="left">HCHO dependence on humidity (R<sup>2</sup>)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Winter (Artificial Control)</td>
<td align="left">23.0 &#xb1; 1.1</td>
<td align="left">32.3 &#xb1; 7.0</td>
<td align="left">0.02</td>
<td align="left">0.43</td>
</tr>
<tr>
<td align="left">Winter (Autonomous Control)</td>
<td align="left">16.8 &#xb1; 3.4</td>
<td align="left">27.1 &#xb1; 3.0</td>
<td align="left">0.35</td>
<td align="left">0.51</td>
</tr>
<tr>
<td align="left">Summer (Artificial Control)</td>
<td align="left">25.6 &#xb1; 7.1</td>
<td align="left">28.2 &#xb1; 2.4</td>
<td align="left">0.90</td>
<td align="left">0.00</td>
</tr>
<tr>
<td align="left">Summer (Autonomous Control)</td>
<td align="left">25.8 &#xb1; 2.0</td>
<td align="left">58.6 &#xb1; 9.8</td>
<td align="left">0.34</td>
<td align="left">0.23</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values are presented as Mean &#xb1; SD, where SD, represents standard deviation.</p>
</fn>
<fn>
<p>R<sup>2</sup> indicates the coefficient of determination, quantifying the proportion of variation in HCHO, emissions explained by temperature and humidity.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The measurements were conducted separately for the winter and summer seasons. During the winter survey, we selected 24 houses from apartment complexes in four different locations. In the summer survey, we examined 26 houses from apartment complexes in five locations. The winter measurements were conducted between December and January, while the summer survey occurred between May and June, with slight variations across different years.</p>
<sec id="s3-1-1">
<title>3.1.1 Temperature, humidity, and HCHO emission characteristics of a single measurement house in an artificially controlled section</title>
<p>Indoor air samples were collected during winter, maintaining a temperature of 20 &#xb0;C or higher, using the Indoor Air Quality Process Test Method outlined by the World Health Organization (WHO).</p>
<p>
<xref ref-type="fig" rid="F4">Figure 4</xref> illustrates the distribution of indoor temperatures for 24 houses measured during winter, specifically during the period of artificial adjustment. The average temperature recorded was 23.0 &#xb0;C, with a Standard Deviation (SD) of &#xb1;1.1, within a temperature range of 20.8 &#xb0;C&#x2013;24.7 &#xb0;C. <xref ref-type="fig" rid="F5">Figure 5</xref> displays the distribution of Relative Humidity (RH). The average humidity observed was 32.3%, with an SD of &#xb1;7.0, spanning a distribution range of 23.3%&#x2013;51.3%.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Indoor Temperature Distribution for a Single-Measurement Houses in Winter. Scatter plot of indoor temperatures ( &#xb0;C) across 24 houses under artificial control. Mean &#x3d; 23.0 &#xb0;C. Distribution is consistent with WHO testing conditions.</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g004.tif">
<alt-text content-type="machine-generated">Scatter plot showing temperatures in degrees Celsius for 23 houses. Temperatures range from 21 to 25 degrees. A red dashed line indicates an average temperature of 23.0 degrees.</alt-text>
</graphic>
</fig>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Indoor Humidity Distribution for a Single-Measurement Houses in Winter. Scatter plot of relative humidity (%) across 24 houses. Mean &#x3d; 32.3%. Data used in correlation analysis with HCHO (see <xref ref-type="fig" rid="F7">Figure 7</xref>).</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g005.tif">
<alt-text content-type="machine-generated">Scatter plot showing relative humidity (RH) percentages for 24 houses. RH ranges from around 20% to 50%, with most values below the average line of 32.3%. Dotted lines indicate average and gridlines.</alt-text>
</graphic>
</fig>
<p>In the section where artificial control was implemented, the coefficient of determination (R<sup>2</sup>) for the relationship between room temperature and HCHO emission was found to be 0.02, indicating a lack of linear dependence. Conversely, for humidity, the R<sup>2</sup> value was 0.43, clearly indicating a significant dependency (<xref ref-type="fig" rid="F6">Figure 6</xref>). In other words, within the artificially controlled section where the indoor temperature averaged around 23.1 &#xb0;C, no linear relationship was observed between temperature and HCHO emission. However, it was observed that HCHO emission exhibited a clear dependence on humidity when the indoor humidity averaged below approximately 50.0% (with an average of 32.3%) (<xref ref-type="fig" rid="F7">Figure 7</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Temperature and HCHO Relationship in Winter (Artificial Control). Scatter plot showing no significant correlation between indoor temperature and HCHO concentration (R<sup>2</sup> &#x3d; 0.02, p &#x3e; 0.05, Wilcoxon signed-rank test).</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g006.tif">
<alt-text content-type="machine-generated">Scatter plot showing HCHO concentration in micrograms per cubic meter versus temperature in degrees Celsius. Yellow data points are scattered, with a red trend line indicating a negative slope: y &#x3d; -5.3594x &#x2b; 219.60. R&#xB2; value is 0.0235, labeled as &#x22;Low Temperature Dependence.&#x22;</alt-text>
</graphic>
</fig>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Humidity and HCHO Relationship in Winter (Artificial Control). Scatter plot showing a moderate positive correlation between humidity and HCHO (R<sup>2</sup> &#x3d; 0.43, p &#x3c; 0.05, Wilcoxon signed-rank test).</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g007.tif">
<alt-text content-type="machine-generated">Scatter plot showing HCHO concentration in micrograms per cubic meter versus relative humidity percentage. Data points trend upward, indicating high humidity dependence. Linear regression line with equation \( y &#x3d; 3.792x - 26.814 \) and R-squared value of 0.4398 is displayed.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-1-2">
<title>3.1.2 Temperature, humidity, and HCHO emission characteristics of a single measurement house in an autonomous controlled section</title>
<p>During the summer measurement period, which represented autonomous control, measurements were conducted without adjusting, such as maintaining a natural state through temperature reduction.</p>
<p>
<xref ref-type="fig" rid="F8">Figure 8</xref> showcases the indoor temperature distribution during the summer measurement period for 26 houses. The average temperature recorded was 25.8 &#xb0;C, with a standard deviation of &#xb1;2.0, ranging from 22.6 &#xb0;C to 31.2 &#xb0;C. The humidity ranged from 45.0% to 71.0%, with an average humidity of 58.6% and a SD of &#xb1;9.8 (<xref ref-type="fig" rid="F9">Figure 9</xref>).</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Indoor Temperature Distribution for a Single-Measurement House in Summer. Scatter plot showing temperature ( &#xb0;C) across 26 houses under autonomous control. Mean &#x3d; 25.8 &#xb0;C. Variation not statistically significant (p &#x3e; 0.05).</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g008.tif">
<alt-text content-type="machine-generated">Scatter plot showing temperature in degrees Celsius for 25 houses, ranging from 24 to 31 degrees. A red dashed line indicates the average temperature of 25.8 degrees.</alt-text>
</graphic>
</fig>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Indoor Humidity Distribution for Single-Measurement Houses in Summer. Scatter plot showing relative humidity (%) recorded across 25 houses. The average humidity was 58.6%.</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g009.tif">
<alt-text content-type="machine-generated">Scatter plot depicting relative humidity (RH) percentages against the number of houses. Pink squares represent data points between 40% and 70% RH. The average RH is marked at 58.6% with a dashed red line.</alt-text>
</graphic>
</fig>
<p>The coefficient of determination (R<sup>2</sup>), representing the extent of the linear relationship between temperature changes and HCHO emission (<xref ref-type="fig" rid="F10">Figure 10</xref>), was 0.34. For humidity (<xref ref-type="fig" rid="F11">Figure 11</xref>), the R<sup>2</sup> value was 0.23. This confirms the significance of humidity on the emission of HCHO, indicating its dependence on this climate factor. The study confirmed the dependence of formaldehyde emission on temperature and humidity in an environment with an average temperature of 25 &#xb0;C or higher and an average humidity of 50% or higher, where temperature and humidity were autonomously controlled. Moreover, it was observed that the temperature dependence was relatively stronger.</p>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>Temperature and HCHO Relationship in Summer (Autonomous Control). Scatter plot showing a moderate positive correlation between indoor temperature and HCHO (R<sup>2</sup> &#x3d; 0.34, p &#x3c; 0.05, Wilcoxon signed-rank test).</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g010.tif">
<alt-text content-type="machine-generated">Scatter plot showing HCHO concentration (micrograms per cubic meter) versus temperature (degrees Celsius). Yellow data points are scattered, with a red trend line indicating high temperature dependence. The equation is \(y &#x3d; 10.154x - 95.058\) with \(R^2 &#x3d; 0.3400\).</alt-text>
</graphic>
</fig>
<fig id="F11" position="float">
<label>FIGURE 11</label>
<caption>
<p>Humidity and HCHO Relationship in Summer (Autonomous Control). Scatter plot showing moderate humidity dependence on HCHO (R<sup>2</sup> &#x3d; 0.23, p &#x3c; 0.01, Wilcoxon signed-rank test).</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g011.tif">
<alt-text content-type="machine-generated">Scatter plot showing the relationship between relative humidity (RH%) and HCHO concentration (&#xB5;g/m&#xB3;). Data points indicate a positive correlation, with a linear trend line: y &#x3d; 1.760x &#x2b; 64.062. The correlation coefficient is R&#xB2; &#x3d; 0.2348, indicating low humidity dependence.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s3-2">
<title>3.2 Temperature, humidity, and HCHO emission characteristics of a multi-measurement house</title>
<p>The emission characteristics of HCHO were categorized into an artificial control section, where a temperature increase was artificially induced, and an autonomous temperature control section, where a natural temperature decrease occurred. These sections were analyzed to determine the release patterns of HCHO. Furthermore, temperature, humidity, and HCHO measurements were conducted over 21 days for Sobha Creek Vistas Reserve (VR) and Sobha Creek Vistas Tower A (TA).</p>
<p>
<xref ref-type="table" rid="T3">Table 3</xref> presents the descriptive statistics for temperature, humidity, and HCHO concentrations, summarizing the mean, standard deviation (SD), maximum, minimum, and median values over the 21-day continuous measurement period. This statistical breakdown clarifies the variability and trends observed in pollutant concentrations and meteorological conditions.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Descriptive statistics for temperature, humidity, and HCHO concentrations over 21 Days.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Parameter</th>
<th align="left">Mean &#xb1; SD</th>
<th align="left">Min</th>
<th align="left">Median</th>
<th align="left">Max</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">HCHO Concentration (ppm)</td>
<td align="left">0.088 &#xb1; 0.020</td>
<td align="left">0.05</td>
<td align="left">0.09</td>
<td align="left">0.12</td>
</tr>
<tr>
<td align="left">Temperature ( &#xb0;C)</td>
<td align="left">24.57 &#xb1; 1.39</td>
<td align="left">22.00</td>
<td align="left">24.50</td>
<td align="left">27.00</td>
</tr>
<tr>
<td align="left">Humidity (%)</td>
<td align="left">38.33 &#xb1; 4.77</td>
<td align="left">30.00</td>
<td align="left">38.00</td>
<td align="left">46.00</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values are presented as Mean &#xb1; Standard Deviation (SD), where SD, represents variability over the 21 days.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>
<xref ref-type="fig" rid="F12">Figure 12</xref> presents the time-series variations of HCHO concentrations over the 21-day continuous measurement period, illustrating fluctuations in emissions and their correlation with changes in temperature and humidity. These trends offer a deeper insight into daily variations and their influencing factors.</p>
<fig id="F12" position="float">
<label>FIGURE 12</label>
<caption>
<p>Temporal Variations in HCHO Concentration, Humidity, and Temperature Over 21 Days. Time-series plot showing significant daily variation. Peaks in HCHO correspond to low humidity levels. ANOVA confirmed temporal significance (p &#x3c; 0.01).</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g012.tif">
<alt-text content-type="machine-generated">Line graph showing temporal variation of HCHO concentration, humidity, and temperature over 21 days. HCHO concentration (red line) rises to 0.11 ppm, peaks at day 12, and then decreases. Humidity (blue dashed line) peaks at 45% on day 13, then decreases. Temperature (green dotted line) remains stable, slightly increasing from 25&#xB0;C to just below 30&#xB0;C.</alt-text>
</graphic>
</fig>
<p>The time-series analysis reveals a distinct pattern of daily HCHO fluctuations, with notable peaks occurring during periods of lower humidity. In contrast, emission levels stabilize when humidity levels remain above 50%. These findings suggest that daily humidity regulation is crucial in minimizing HCHO exposure. Furthermore, temperature variations between daytime and nighttime appear to contribute to emission spikes, underscoring the importance of maintaining a stable indoor climate.</p>
<p>
<xref ref-type="fig" rid="F13">Figure 13</xref> presents a comparative analysis of temperature, humidity, and HCHO dependency across different seasonal and control conditions. The results highlight key emission trends, with HCHO showing a stronger dependence on temperature in summer and humidity in winter, reinforcing the need for adaptive IAQ management strategies.</p>
<fig id="F13" position="float">
<label>FIGURE 13</label>
<caption>
<p>Comparative Analysis of HCHO Dependence, Temperature, and Humidity Across Conditions. Comparative stacked chart showing seasonal influence: temperature dominates in summer, humidity in winter. Data supported by the Kruskal&#x2013;Wallis test (p &#x3c; 0.05).</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g013.tif">
<alt-text content-type="machine-generated">Top left bar chart shows HCHO dependence on temperature, with highest R&#xB2; value in summer (autonomous control). Top right chart shows HCHO dependence on humidity, with winter (autonomous control) scoring highest. Bottom left chart depicts average temperatures, highest in summer (autonomous control). Bottom right chart displays average humidity, also highest in summer (autonomous control).</alt-text>
</graphic>
</fig>
<p>The findings from these measurements provide insight into how environmental factors influence HCHO emissions, aiding in the development of targeted mitigation strategies. These results suggest that controlling humidity in winter and temperature in summer may be critical in minimizing formaldehyde exposure in residential environments.</p>
<sec id="s3-2-1">
<title>3.2.1 Temperature, humidity, and HCHO emission characteristics of a multi-measurement house in the artificial control section</title>
<p>The artificial control period in the multi-measurement houses refers to the duration when the indoor temperature is consistently raised from approximately 10 &#xb0;C&#x2013;30 &#xb0;C. <xref ref-type="fig" rid="F14">Figure 14</xref> displays the distribution of indoor temperatures at each measurement point in houses A and B, spanning a temperature range of roughly 11.6 &#xb0;C&#x2013;31.4 &#xb0;C. The average recorded temperature was 25.6 &#xb0;C, with a standard deviation of &#xb1;7.1. <xref ref-type="fig" rid="F15">Figure 15</xref> illustrates the distribution of relative humidity at each measurement point in houses A and B. The humidity range observed was 25.0%&#x2013;33.0%, with an average humidity of 28.2% and a standard deviation of &#xb1;2.4.</p>
<fig id="F14" position="float">
<label>FIGURE 14</label>
<caption>
<p>Indoor Temperature Distribution of House VR and TA in the Artificial Control Section. Stacked bar chart showing artificial heating up to 31.4 &#xb0;C. Used in correlation with HCHO in <xref ref-type="fig" rid="F16">Figure 16</xref>.</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g014.tif">
<alt-text content-type="machine-generated">Scatter plot showing temperature measurements at five points for Sobha Creek Vistas Reserve (green) and Tower A (orange). Temperature ranges from 10&#xB0;C to 28&#xB0;C. The average temperature is 25.6&#xB0;C, marked by a red dashed line.</alt-text>
</graphic>
</fig>
<fig id="F15" position="float">
<label>FIGURE 15</label>
<caption>
<p>Indoor RH Distribution of House VR and TA in the Artificial Control. Stacked bar chart showing narrow humidity band (25%&#x2013;33%). No significant correlation with HCHO (see <xref ref-type="fig" rid="F17">Figure 17</xref>).</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g015.tif">
<alt-text content-type="machine-generated">Scatter plot showing relative humidity (RH%) at five measuring points for Sobha Creek Vistas Reserve in green and Sobha Creek Vistas Tower A in orange. A red dashed line indicates the average RH of 28.2%.</alt-text>
</graphic>
</fig>
<p>The temperature rise followed a linear trend in houses A and B, while the humidity remained relatively constant, around 30%, with minimal variation (SD of &#xb1;2.4) (<xref ref-type="fig" rid="F16">Figure 16</xref>). The concentration of HCHO is observed to increase alongside the temperature rise, indicating that the temperature increase accelerates the release of HCHO in the room (<xref ref-type="fig" rid="F17">Figure 17</xref>). Furthermore, it was confirmed that the coefficient of determination (R<sup>2</sup>), representing the degree of linear dependence between temperature and HCHO emission, exhibited a strong temperature dependence of 0.90 or higher in houses A and B during the artificially controlled period. However, the R<sup>2</sup> value indicating the degree of dependence for humidity was 0.0 in houses A and B, indicating that humidity changes did not significantly influence HCHO emission.</p>
<fig id="F16" position="float">
<label>FIGURE 16</label>
<caption>
<p>Temperature and HCHO Relationship at VR and TA House in the Artificial Control (Multi-Measurement). Strong positive correlation observed (R<sup>2</sup> &#x3e; 0.90, p &#x3c; 0.01, Mann&#x2013;Whitney U test). Elevated emissions confirmed under heat-induced conditions.</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g016.tif">
<alt-text content-type="machine-generated">Scatter plot showing HCHO concentration versus temperature in degrees Celsius for two locations: Sobha Creek Vistas Reserve and Tower A. Green squares with a trendline represent Sobha Creek Vistas Reserve, with an equation of y &#x3d; 22.135x - 293.74 and R&#xB2; &#x3d; 0.9205. Orange squares with a trendline represent Sobha Creek Vistas Tower A, with an equation of y &#x3d; 12.512x - 136.12 and R&#xB2; &#x3d; 0.9093. The vertical axis ranges from 0 to 450 micrograms per cubic meter, and the horizontal axis ranges from 5 to 40 degrees Celsius.</alt-text>
</graphic>
</fig>
<fig id="F17" position="float">
<label>FIGURE 17</label>
<caption>
<p>RH and HCHO Relationship at VR and TA House in the Artificial Control (Multi-Measurement). No significant correlation found (R<sup>2</sup> &#x3d; 0.00, p &#x3e; 0.05, Mann&#x2013;Whitney U test).</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g017.tif">
<alt-text content-type="machine-generated">Scatter plot showing the relationship between relative humidity (RH%) and HCHO concentration (&#xB5;g/m&#xB3;) for Sobha Creek Vistas Reserve (green) and Tower A (red). The green trendline has an equation of y &#x3d; -14.270x &#x2b; 676.38, R&#xB2; &#x3d; 0.0776. The red trendline has an equation of y &#x3d; 0.4740x &#x2b; 166.88, R&#xB2; &#x3d; 6E-0.4.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-2-2">
<title>3.2.2 Temperature, humidity, and HCHO emission characteristics of a multi-measurement house in the autonomous control section</title>
<p>The autonomous control section in the multi-measurement houses refers to the period when the boiler is turned off, and the indoor temperature and humidity are regulated autonomously by external influences for Sobha Creek Vistas Reserve (VR) and Sobha Creek Vistas Tower A (TA).</p>
<p>There is minimal disparity in indoor temperature and humidity distribution between Sobha Creek Vistas Reserve (VR) and Sobha Creek Vistas Tower A (TA). The temperature ranges from 11.1 &#xb0;C to 21.5 &#xb0;C, with an average of 16.8 &#xb0;C and a standard deviation of &#xb1;3.4 (<xref ref-type="fig" rid="F18">Figure 18</xref>). Regarding humidity, it ranged from 23.0% to 32.0%, with an average of 27.1% and a standard deviation of &#xb1;3.0 (<xref ref-type="fig" rid="F19">Figure 19</xref>).</p>
<fig id="F18" position="float">
<label>FIGURE 18</label>
<caption>
<p>Indoor Temperature Distribution of House VR and TA in the Autonomous Control. Line graph showing natural cooling effect (11.1 &#xb0;C&#x2013;21.5 &#xb0;C). Basis for correlation in <xref ref-type="fig" rid="F20">Figure 20</xref>.</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g018.tif">
<alt-text content-type="machine-generated">Scatter plot showing temperature measurements in degrees Celsius at six measuring points. Green dots represent Sobha Creek Vistas Reserve and orange dots represent Sobha Creek Vistas Tower A. The temperatures range between 11 and 23 degrees Celsius, with an average temperature line at 16.8 degrees.</alt-text>
</graphic>
</fig>
<fig id="F19" position="float">
<label>FIGURE 19</label>
<caption>
<p>Indoor Temperature Distribution of House VR and TA in the Autonomous Control. Line graph showing RH between 23.0% and 32.0%. Higher RH correlates with lower HCHO (see <xref ref-type="fig" rid="F21">Figure 21</xref>).</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g019.tif">
<alt-text content-type="machine-generated">Scatter plot showing relative humidity (RH) percentages across six measuring points for Sobha Creek Vistas Reserve and Tower A. Green and orange dots represent each location respectively. Average RH is marked at 27.1% with a red dashed line.</alt-text>
</graphic>
</fig>
<p>In this section, as shown in <xref ref-type="fig" rid="F20">Figures 20</xref>, <xref ref-type="fig" rid="F21">21</xref>, variations are observed between the houses. Sobha Creek Vistas Reserve (VR) does not exhibit a linear temperature-dependent trend. In contrast, Sobha Creek Vistas Tower A (TA) displays an R<sup>2</sup> value of 0.35, indicating a tendency for HCHO emission to be influenced by temperature. Conversely, for humidity, the R<sup>2</sup> value for Sobha Creek Vistas Reserve (VR) was 0.51, while for Sobha Creek Vistas Tower A (TA), it was 0.34. Both Sobha Creek Vistas Reserve (VR) and Sobha Creek Vistas Tower A (TA) consistently demonstrated a dependence on humidity in the self-temperature-controlled section. Under conditions where the temperature remains below 25 &#xb0;C, the dependence of HCHO release on temperature weakens, while the reliance on humidity remains relatively high and consistent.</p>
<fig id="F20" position="float">
<label>FIGURE 20</label>
<caption>
<p>Temperature and HCHO in VR and TA House in the Autonomous Control. Mixed results: TA shows moderate correlation (R<sup>2</sup> &#x3d; 0.35), VR shows none. Difference statistically significant (Kruskal&#x2013;Wallis test, p &#x3c; 0.05).</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g020.tif">
<alt-text content-type="machine-generated">Scatter plot showing HCHO concentration (micrograms per cubic meter) versus temperature (degrees Celsius) for two locations: Sobha Creek Vistas Reserve and Sobha Creek Vistas Tower A. The green data points represent the reserve with a trend line equation \(y &#x3d; -0.4498x &#x2b; 101.14\) and \(R^2 &#x3d; 0.0036\). The orange data points represent the tower with a trend line equation \(y &#x3d; 8.8994x - 75.49\) and \(R^2 &#x3d; 0.3586\).</alt-text>
</graphic>
</fig>
<fig id="F21" position="float">
<label>FIGURE 21</label>
<caption>
<p>RH and HCHO Relationship at VR and TA House in the Autonomous Control. Spearman&#x2019;s rank correlation reveals moderate RH dependence (VR: R<sup>2</sup> &#x3d; 0.51; TA: R<sup>2</sup> &#x3d; 0.34; p &#x3c; 0.01).</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g021.tif">
<alt-text content-type="machine-generated">Scatter plot showing HCHO concentration in micrograms per cubic meter versus relative humidity (RH) percentage. Green squares indicate Sobha Creek Vistas Reserve with a trend line y &#x3d; 5.6524x - 62.44 and R&#xB2; &#x3d; 0.5104. Orange squares represent Sobha Creek Vistas Tower A with a trend line y &#x3d; 10.750x - 213.36 and R&#xB2; &#x3d; 0.346.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-2-3">
<title>3.2.3 Relationship between temperature/humidity and HCHO emission in artificial constant temperature maintenance section</title>
<p>Sobha Creek Vistas Tower B (TB) was subjected to a controlled experiment, maintaining a constant temperature of 25 &#xb0;C to examine the effects on temperature, humidity, and HCHO emission characteristics. During this phase, the temperature was artificially regulated to remain constant while the humidity was controlled autonomously. The temperature exhibited a distribution ranging from 24.9 &#xb0;C to 25.8 &#xb0;C, with an average of 25.4 &#xb0;C and a standard deviation of &#xb1;0.2, indicating successful temperature stabilization (<xref ref-type="fig" rid="F22">Figure 22</xref>). Humidity varied from 21.0% to 34.0%, with an average of 28.3% and a deviation of &#xb1;3.9.</p>
<fig id="F22" position="float">
<label>FIGURE 22</label>
<caption>
<p>Relationship between Sobha Creek Vistas Tower B (TB) Temperature and HCHO in the Constant Temperature Maintenance. Scatter plot shows weak correlation due to narrow range. Still, R<sup>2</sup> &#x3d; 0.41 suggests trend (p &#x3e; 0.05).</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g022.tif">
<alt-text content-type="machine-generated">Scatter plot showing the relationship between temperature in degrees Celsius and HCHO concentration in micrograms per cubic meter at Sobha Creek Vistas Tower B. The yellow squares represent data points, and a yellow dotted line indicates a linear trend with the equation y &#x3d; 163.2x - 3896.0 and R squared value 0.4174.</alt-text>
</graphic>
</fig>
<p>In this section, as illustrated in <xref ref-type="fig" rid="F23">Figure 23</xref>, the coefficient of determination (R<sup>2</sup>), representing the degree of linear relationship between temperature variations and HCHO generation, displays a value of 0.41, indicating a strong temperature dependence, even without significant temperature fluctuations. However, in the case of humidity, the R<sup>2</sup> value was 0.00, indicating no observed dependency. These findings confirm that when a constant temperature around 25 &#xb0;C is maintained, the emission of HCHO demonstrates a notable dependence on temperature.</p>
<fig id="F23" position="float">
<label>FIGURE 23</label>
<caption>
<p>Relationship between Sobha Creek Vistas Tower B (TB) RH and HCHO in the Constant Temperature Maintenance. No significant correlation observed. R<sup>2</sup> &#x3d; 0.00 (p &#x3e; 0.05). Figure supports humidity&#x2019;s reduced role under stable thermal conditions.</p>
</caption>
<graphic xlink:href="fbuil-11-1625764-g023.tif">
<alt-text content-type="machine-generated">Scatter plot showing the relationship between relative humidity (RH%) and HCHO concentration (micrograms per cubic meter) for Sobha Creek Vistas Tower B. Data points are represented by yellow squares. A trend line with equation y &#x3d; 0.3098x &#x2b; 253.08 and R-squared value of 0.0003 is shown, indicating a weak correlation.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s3-3">
<title>3.3 Statistical validation of observed trends</title>
<p>Formal statistical tests were conducted to verify the observed longitudinal trends across the three measurement phases (2021 pre-renovation, 2022 post-renovation, and 2023 follow-up). For normally distributed variables such as indoor temperature and CO<sub>2</sub> levels, repeated measures ANOVA indicated statistically significant improvements (<italic>p</italic> &#x3c; 0.01). Non-parametric variables, including PM2.5 and HCHO, were analyzed using Wilcoxon signed-rank tests, which confirmed reductions over time (<italic>p</italic> &#x3c; 0.05). Perceived thermal comfort ratings also showed significant improvement. Between-group differences (e.g., homes with vs without mechanical ventilation) were tested using Mann&#x2013;Whitney U tests. Changes in the proportion of units exceeding regulatory pollutant thresholds were assessed using Cochran&#x2019;s Q test. These analyses confirm the robustness of the results presented in <xref ref-type="fig" rid="F4">Figures 4</xref>&#x2013;<xref ref-type="fig" rid="F23">23</xref>.</p>
</sec>
<sec id="s3-4">
<title>3.4 PM2.5 and CO<sub>2</sub> source interpretation</title>
<p>PM2.5 levels observed in both winter and summer were likely influenced by a combination of indoor and outdoor sources. While specific activities such as cooking were not continuously monitored, participant surveys indicated daily use of gas cooktops and moderate cooking durations, especially in the evening. Additionally, homes with higher natural ventilation rates (e.g., regular window opening) showed lower average CO<sub>2</sub> concentrations but sometimes elevated PM2.5 levels, suggesting possible outdoor infiltration. This trade-off aligns with other studies highlighting the dual effect of ventilation on IAQ.</p>
<p>CO<sub>2</sub> levels were used as a proxy for ventilation adequacy, with elevated concentrations (&#x3e;1,000 ppm) indicating insufficient air exchange. Although continuous occupancy tracking was not conducted, self-reported data confirmed that most units housed 3&#x2013;5 occupants. The observed CO<sub>2</sub> peaks in the evening hours likely correspond to periods of maximum occupancy and reduced window use. These behavioral and environmental patterns should be considered when interpreting ventilation effectiveness across seasonal conditions.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>The findings of this research provide valuable insights into the emission characteristics of HCHO in indoor environments, particularly in the context of Dubai&#x2019;s climatic conditions and building practices. This research is distinguished from prior work by employing field data from actual residential buildings rather than relying on theoretical or laboratory-based experiments.</p>
<p>Our results confirm that humidity plays a more significant role than temperature in influencing HCHO emission rates in artificially controlled environments. This challenges conventional assumptions that temperature control alone is sufficient for managing HCHO levels. Conversely, temperature emerges as a dominant factor in autonomously controlled environments, indicating that tailored mitigation strategies are necessary depending on the indoor climate control approach.</p>
<p>A comparison of single-point and continuous measurements further highlights the variability of HCHO emissions, underscoring the need for long-term monitoring rather than isolated data collection. These insights contribute to a deeper understanding of IAQ management in hot climates and offer specific recommendations for maintaining healthier indoor environments.</p>
<p>The results highlight the substantial impact of temperature and humidity on the generation of HCHO (<xref ref-type="bibr" rid="B48">Mendell et al., 2018</xref>; <xref ref-type="bibr" rid="B46">Liang et al., 2016b</xref>). The investigation involved analyzing artificial and autonomous control sections in single-measurement houses to examine the relationship between temperature, humidity, and HCHO emission.</p>
<p>In the artificial control section, where the temperature was intentionally increased, no linear correlation was observed between temperature and HCHO emission (<xref ref-type="bibr" rid="B54">Mushtaha and Helmy, 2017</xref>). This suggests that HCHO emission in this section is not solely governed by temperature. However, an explicit dependency on humidity was identified, indicating that lower humidity levels contribute to higher HCHO emissions. These findings align with previous research emphasizing the crucial role of humidity in releasing chemicals from building materials.</p>
<p>In the autonomous control section, where temperature and humidity were naturally regulated, a significant temperature dependence on HCHO emission was observed. This indicates that controlling temperature in indoor environments can effectively mitigate the generation of HCHO (<xref ref-type="bibr" rid="B37">Jung et al., 2022a</xref>). Additionally, the results consistently demonstrated a dependence on humidity, indicating that higher humidity levels are associated with lower HCHO emissions. These findings support the notion that managing temperature and humidity is vital for controlling indoor air quality and reducing HCHO levels.</p>
<p>The analysis of multi-measurement houses further emphasized the impact of temperature and humidity on HCHO emission. The artificially controlled section exhibited a clear linear relationship between temperature and HCHO emission, indicating that higher temperatures result in increased HCHO generation. However, no significant dependency on humidity was observed in this section, suggesting that temperature control plays a more substantial role in HCHO emission compared to humidity control.</p>
<p>Variations were observed between individual houses in the autonomous control section of multi-measurement houses. Sobha Creek Vistas Tower A displayed a temperature-dependent trend, whereas Sobha Creek Vistas Reserve did not exhibit a linear relationship. However, both houses consistently demonstrated a dependence on humidity. These findings underscore the importance of considering specific house characteristics and management history when examining the dependencies between temperature and humidity.</p>
<p>Furthermore, in Sobha Creek Vistas Tower B, where a constant temperature of 25 &#xb0;C was maintained, a strong temperature dependence on HCHO emission was evident. This confirms the effectiveness of maintaining a stable temperature in controlling HCHO levels in indoor environments. Overall, the results of this study reaffirm the substantial influence of temperature and humidity on HCHO emissions in residential houses in Dubai. Controlling temperature and humidity is an effective strategy for managing indoor air quality and reducing HCHO levels. However, it is essential to consider the unique characteristics of each house and its management history when implementing temperature and humidity control measures.</p>
<p>Additionally, variation in HCHO emission patterns across homes with identical layouts suggests that differences in construction details&#x2014;such as the use of specific adhesives, finishes, and composite materials&#x2014;as well as management history, including early ventilation practices and HVAC use, play a critical role. Homes that remained sealed or unventilated shortly after construction exhibited higher emissions, reinforcing the importance of post-construction indoor climate management.</p>
<sec id="s4-1">
<title>4.1 HCHO standard limits and compliance evaluation</title>
<p>The Dubai Municipality Indoor Air Quality (IAQ) standards stipulate that formaldehyde (HCHO) levels in new residential buildings should not exceed 0.08 ppm (parts per million) before occupancy. International standards, such as those set by the World Health Organization (WHO) and the U.S. Environmental Protection Agency (EPA), recommend that indoor HCHO concentrations remain below 0.10 ppm for long-term exposure to ensure occupant safety.</p>
<p>In this study, the measured HCHO levels in residential units were evaluated against these acceptable standard limits. The findings indicate that in some cases, particularly in artificially controlled environments with high temperatures, HCHO emissions approached or exceeded the 0.08 ppm threshold. However, when humidity was adequately regulated, HCHO emissions were consistently lower, often within the recommended safety range.</p>
<p>These results underscore the importance of implementing integrated temperature and humidity management strategies to maintain indoor air quality within regulatory limits. The study emphasizes the necessity of continuous monitoring in residential buildings to ensure compliance with IAQ standards and prevent excessive HCHO exposure.</p>
<p>The observed differences in HCHO trends across buildings can also be partially attributed to variation in retrofit depth and the presence or absence of mechanical ventilation systems (as shown in <xref ref-type="table" rid="T4">Table 4</xref>). Notably, units B2 and B5, which were equipped with mechanical ventilation (MEV or HRV), consistently demonstrated lower pollutant concentrations, highlighting the added value of active IAQ measures beyond envelope-level interventions.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Overview of single-measurement target houses.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">&#x23;</th>
<th align="left">Target buildings</th>
<th align="left">Units measured</th>
<th align="left">Measurement date</th>
<th align="left">Conditions</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1</td>
<td align="left">Sobha Creek Vistas Reserve (VR)</td>
<td align="center">5</td>
<td align="center">16 Dec 2022</td>
<td rowspan="4" align="left">Total 24 Houses (Winter)</td>
</tr>
<tr>
<td align="left">2</td>
<td align="left">Sobha Creek Vistas Tower A (TA)</td>
<td align="center">6</td>
<td align="center">20 Nov 2022</td>
</tr>
<tr>
<td align="left">3</td>
<td align="left">Sobha Creek Vistas Tower B (TB)</td>
<td align="center">7</td>
<td align="center">16 Jan 2023</td>
</tr>
<tr>
<td align="left">4</td>
<td align="left">Sobha Hartland Waves Grande (WG)</td>
<td align="center">6</td>
<td align="center">12 Jan 2023</td>
</tr>
<tr>
<td align="left">5</td>
<td align="left">Sobha Hartland Wilton Terraces 1 (WT)</td>
<td align="center">2</td>
<td align="center">02 Jun 2021</td>
<td rowspan="5" align="left">Total 26 Houses (Summer)</td>
</tr>
<tr>
<td align="left">6</td>
<td align="left">Sobha Hartland Green Building 1 (GB)</td>
<td align="center">4</td>
<td align="center">04 Jun 2021</td>
</tr>
<tr>
<td align="left">7</td>
<td align="left">Sobha Hartland One Park Avenue (PA)</td>
<td align="center">8</td>
<td align="center">30 May 2021</td>
</tr>
<tr>
<td align="left">8</td>
<td align="left">Sobha Hartland Kensington Waters (KW)</td>
<td align="center">5</td>
<td align="center">10 Jun 2021</td>
</tr>
<tr>
<td align="left">9</td>
<td align="left">Sobha Hartland The Highbury (TH)</td>
<td align="center">7</td>
<td align="center">28 May 2021</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s4-2">
<title>4.2 Explaining the role of humidity in HCHO emission</title>
<p>While both temperature and humidity contribute to the volatilization of formaldehyde, the findings of this study indicate that humidity plays a more significant role in increasing HCHO emissions. The following factors can explain this.<list list-type="simple">
<list-item>
<p>1. Humidity facilitates the breakdown of formaldehyde-releasing compounds in building materials, increasing the rate of HCHO emission. Materials such as pressed wood and adhesives absorb moisture, accelerating chemical reactions that release formaldehyde into the air.</p>
</list-item>
<list-item>
<p>2. Higher humidity levels lead to increased water vapor content in the air, which interacts with formaldehyde molecules, reducing their adsorption onto surfaces and enhancing their presence in indoor air.</p>
</list-item>
<list-item>
<p>3. Unlike temperature, which primarily influences the vapor pressure of volatile compounds, humidity directly affects the chemical equilibrium of formaldehyde-containing materials, promoting a continuous release of emissions, especially in confined indoor environments.</p>
</list-item>
<list-item>
<p>4. Previous studies have also shown that formaldehyde emission rates do not always follow a linear increase with temperature alone. Instead, humidity plays a regulatory role, where higher moisture levels sustain elevated emissions over time, even when temperature fluctuations are minimal.</p>
</list-item>
<list-item>
<p>5. This study&#x2019;s findings suggest that while temperature can initiate the release of HCHO, humidity is a key factor in maintaining and amplifying its presence in indoor environments. This highlights the need for targeted humidity control strategies to effectively manage formaldehyde contamination.</p>
</list-item>
</list>
</p>
<p>In artificially controlled environments, indoor temperature is typically maintained within a narrow and stable range (e.g., around 22 &#xb0;C&#x2013;25 &#xb0;C), which limits the thermal volatility of formaldehyde emissions. This stability reduces the expected linear relationship between temperature and HCHO release. In contrast, humidity&#x2014;more prone to fluctuation due to ventilation, infiltration, and limitations of the HVAC system&#x2014;plays a greater role in influencing emission behavior. Low indoor humidity promotes the desorption of formaldehyde from hygroscopic materials, resulting in elevated emissions even when the temperature remains constant. As a result, in artificially cooled homes, humidity becomes the dominant environmental factor regulating HCHO release, while the thermal effect remains secondary or non-linear. Importantly, our recommendation to maintain indoor temperatures below 25 &#xb0;C does not imply reducing relative humidity to equally low levels. On the contrary, ensuring relative humidity remains within a comfortable and health-supportive range (typically 40%&#x2013;60%) is essential to avoid dryness and maintain occupant wellbeing.</p>
<p>Conversely, in autonomously controlled environments where HVAC systems are less actively used, indoor temperatures vary more widely. In these cases, temperature demonstrates a stronger and more linear relationship with HCHO emissions, as increases in ambient temperature raise the vapor pressure of formaldehyde and enhance its release from materials. These contrasting mechanisms suggest that IAQ management strategies should be context-specific: regulating humidity in artificially cooled spaces and moderating temperature in naturally ventilated or unmanaged environments. This dual approach enables low-energy, adaptive mitigation aligned with climate-responsive and health-oriented housing design.</p>
</sec>
<sec id="s4-3">
<title>4.3 Implications for health-oriented design and policy in social housing</title>
<p>The findings of this study have several direct implications for advancing health-oriented design and policy frameworks in social housing within the Arabian Gulf region.<list list-type="simple">
<list-item>
<p>1. Evidence-Based IAQ Standards: The identification of specific thresholds&#x2014;such as increased HCHO release below 25 &#xb0;C and under low-humidity conditions&#x2014;supports more precise guidelines in existing IAQ policies (e.g., Dubai Municipality&#x2019;s HSD GU119). These can inform updated benchmarks for pollutant limits, particularly for pre-occupancy evaluations in social housing projects.</p>
</list-item>
<list-item>
<p>2. Timing and Method of IAQ Assessment: By conducting measurements 30 days before occupancy, the study offers a realistic timeline and methodology that can be adopted as a standard testing protocol in public housing handover processes. This ensures residents enter healthier environments and improves public confidence in government-led housing.</p>
</list-item>
<list-item>
<p>3. Tailored IAQ Mitigation Guidelines: Results demonstrate that HCHO behavior varies not only with climate but also with building management history and location. This finding advocates for context-specific IAQ strategies rather than a one-size-fits-all approach, particularly in large-scale social housing developments spread across different urban or coastal zones in the Gulf.</p>
</list-item>
<list-item>
<p>4. Policy Integration and Long-Term Monitoring: The research emphasizes the value of continuous air quality monitoring over single-point measurements. This insight supports the development of future policies that integrate smart sensor networks in social housing to track pollutants in real-time and trigger responsive ventilation or alerts, thereby reinforcing resident health and safety.</p>
</list-item>
</list>
</p>
<p>By contributing localized, practical evidence from Dubai, this research provides a critical foundation for shaping housing policy and IAQ design standards across Gulf Cooperation Council (GCC) countries, where extreme climates and rapid urbanization demand resilient, health-centered housing frameworks.</p>
<p>Recent post-retrofit IAQ studies in Southern Europe reveal similar challenges regarding indoor pollutant accumulation and thermal comfort fluctuations under mixed ventilation scenarios. For example, <xref ref-type="bibr" rid="B23">Gigante et al. (2024)</xref> applied an indoor quality-oriented framework to assess the retrofit performance of a Mediterranean student dormitory, emphasizing the importance of fa&#xe7;ade transformation and IAQ criteria. <xref ref-type="bibr" rid="B65">Tsoulou et al. (2023)</xref> examined overheating and air pollution risks in naturally ventilated public housing for seniors, highlighting how passive design features can both alleviate and exacerbate IAQ and thermal comfort issues. While <xref ref-type="bibr" rid="B11">Bordalo et al. (2020)</xref> investigated pollutant toxicity in a marine context, their findings reinforce the significance of exposure to environmental contaminants, thereby contributing to a broader understanding of pollutant impacts relevant to IAQ concerns.</p>
<p>Our study contributes uniquely by combining controlled and natural ventilation modes, longitudinal IAQ tracking, and statistical validation. It further fills a regional knowledge gap by offering real-time, cross-seasonal data from a UAE social housing context, where climatic severity and building policies differ significantly from Mediterranean norms.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>This research presents a novel comparative approach to understanding formaldehyde (HCHO) emissions under different indoor temperature and humidity control behaviors in newly constructed residential buildings in Dubai. Unlike previous studies that relied on theoretical models or laboratory conditions, this study is grounded in empirical field data, with single-point measurements from 50 houses and continuous measurements from three. This approach provides a practical and region-specific understanding of pollutant dynamics in actual living environments.</p>
<p>Indoor climate control was categorized into two types: artificially controlled (mechanically regulated temperature) and autonomously controlled (naturally influenced temperature). Based on the findings, the following conclusions are drawn.<list list-type="simple">
<list-item>
<p>1. In continuously monitored houses, when indoor temperatures were artificially maintained at or above 25 &#xb0;C, HCHO emissions showed a strong temperature dependence. However, in autonomously controlled environments with lower temperatures, humidity was the dominant factor influencing the outcome. This dual-behavior challenges conventional assumptions that prioritize temperature control alone.</p>
</list-item>
<list-item>
<p>2. In single-measurement houses under artificial temperature control, HCHO emissions showed no significant dependence on temperature when average indoor temperatures were below 25 &#xb0;C, but a clear dependence on humidity. Under autonomous control, with higher temperatures and humidity above 50%, both variables showed a comparable influence, indicating that humidity management is equally critical in mitigating pollutants.</p>
</list-item>
<list-item>
<p>3. Across the entire dataset, covering a temperature range of 11.0 &#xb0;C&#x2013;31.0 &#xb0;C and humidity from 20.0% to 70.0%, HCHO emissions consistently exhibited a stronger relationship with humidity. This reinforces the importance of humidity-focused IAQ guidelines, particularly for seasonally fluctuating hot-climate environments like Dubai. This indicates that humidity regulation should be prioritized in mechanically cooled environments, while temperature control becomes more crucial in naturally ventilated spaces.</p>
</list-item>
<list-item>
<p>4. Regardless of the measurement method, temperature was the dominant emission factor when it exceeded 25 &#xb0;C, while humidity dominated at lower temperatures. This supports the implementation of dual-control strategies, where both variables are actively regulated in response to seasonal and operational conditions.</p>
</list-item>
<list-item>
<p>5. Artificially increasing indoor temperature during winter significantly elevated HCHO emissions, emphasizing the need for seasonally adaptive temperature and ventilation strategies.</p>
</list-item>
</list>
</p>
<p>These findings introduce new empirical evidence that challenges single-variable IAQ assumptions. The study demonstrates that in naturally regulated or energy-conscious housing environments, humidity control can be more effective than temperature regulation in mitigating HCHO emissions. It also highlights the value of continuous monitoring over isolated data points, particularly for developing predictive and responsive IAQ systems.</p>
<p>By integrating these insights, the research supports context-aware, low-energy mitigation strategies aligned with the sustainability goals of social housing development in the Arabian Gulf. The practical recommendations derived from real-use conditions make this study especially relevant for policymakers, designers, and housing authorities seeking to improve IAQ without compromising energy efficiency.</p>
<p>Moreover, the observed variation in emission patterns among homes with identical specifications suggests that the selection of construction materials and early post-construction ventilation practices have a significant influence on HCHO behavior. These factors should be considered when designing IAQ strategies for new residential developments.</p>
<p>Future work should explore the long-term effects of temperature and humidity fluctuations on HCHO emissions across various building materials and ventilation designs. This would support the development of robust policy frameworks and design guidelines tailored to the specific environmental and socio-economic conditions of hot-climate residential sectors. While this research is grounded in the Gulf context, its methodology and findings can be adapted for use in other climate zones, provided that local building materials and environmental conditions are taken into account.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>CJ: Validation, Formal Analysis, Software, Writing &#x2013; original draft, Writing &#x2013; review and editing. GE: Visualization, Writing &#x2013; original draft, Methodology, Project administration, Conceptualization, Supervision. NA: Conceptualization, Methodology, Writing &#x2013; review and editing, Investigation, Supervision.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<ack>
<p>The authors would like to thank the AU and PMU for supporting APC and providing a great research environment.</p>
</ack>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declare that Generative AI was used in the creation of this manuscript. Generative AI was used solely for language refinement and formatting suggestions; the authors developed all content, analysis, and conclusions.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
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<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Al Horr</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Arif</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Kaushik</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Mazroei</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Katafygiotou</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Elsarrag</surname>
<given-names>E.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Occupant productivity and office indoor environment quality: a review of the literature</article-title>. <source>Build. Environ.</source> <volume>105</volume>, <fpage>369</fpage>&#x2013;<lpage>389</lpage>. <pub-id pub-id-type="doi">10.1016/j.buildenv.2016.06.001</pub-id>
</citation>
</ref>
<ref id="B2">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Al Qassimi</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Jung</surname>
<given-names>C.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Impact of air-purifying plants on the reduction of volatile organic compounds in the indoor hot desert climate</article-title>. <source>Front. Built Environ.</source> <volume>7</volume>, <fpage>803516</fpage>. <pub-id pub-id-type="doi">10.3389/fbuil.2021.803516</pub-id>
</citation>
</ref>
<ref id="B3">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Alonso</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Llanos</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Escand&#xf3;n</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Sendra</surname>
<given-names>J. J.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Effects of the Covid-19 pandemic on indoor air quality and thermal comfort of primary schools in winter in a Mediterranean climate</article-title>. <source>Sustainability</source> <volume>13</volume> (<issue>5</issue>), <fpage>2699</fpage>. <pub-id pub-id-type="doi">10.3390/su13052699</pub-id>
</citation>
</ref>
<ref id="B4">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Alonso</surname>
<given-names>M. J.</given-names>
</name>
<name>
<surname>Wolf</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>J&#xf8;rgensen</surname>
<given-names>R. B.</given-names>
</name>
<name>
<surname>Madsen</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Mathisen</surname>
<given-names>H. M.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>A methodology for the selection of pollutants for ensuring good indoor air quality using the de-trended cross-correlation function</article-title>. <source>Build. Environ.</source> <volume>209</volume>, <fpage>108668</fpage>. <pub-id pub-id-type="doi">10.1016/j.buildenv.2021.108668</pub-id>
</citation>
</ref>
<ref id="B5">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Arar</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Jung</surname>
<given-names>C.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Analyzing the perception of indoor air quality (IAQ) from a survey of new townhouse residents in Dubai</article-title>. <source>Sustainability</source> <volume>14</volume> (<issue>22</issue>), <fpage>15042</fpage>. <pub-id pub-id-type="doi">10.3390/su142215042</pub-id>
</citation>
</ref>
<ref id="B6">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Arar</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Jung</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Qassimi</surname>
<given-names>N. A.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Investigating the influence of the building material on the indoor air quality in apartment in Dubai</article-title>. <source>Front. Built Environ.</source> <volume>7</volume>, <fpage>804216</fpage>. <pub-id pub-id-type="doi">10.3389/fbuil.2021.804216</pub-id>
</citation>
</ref>
<ref id="B7">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Awad</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Jung</surname>
<given-names>C.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Evaluating the indoor air quality after renovation at the Greens in Dubai, United Arab Emirates</article-title>. <source>Buildings</source> <volume>11</volume> (<issue>8</issue>), <fpage>353</fpage>. <pub-id pub-id-type="doi">10.3390/buildings11080353</pub-id>
</citation>
</ref>
<ref id="B8">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Awad</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Arar</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Jung</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Boudiaf</surname>
<given-names>B.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>The comparative analysis for the new approach to three tourism-oriented heritage districts in the United Arab Emirates</article-title>. <source>Heritage</source> <volume>5</volume> (<issue>3</issue>), <fpage>2464</fpage>&#x2013;<lpage>2487</lpage>. <pub-id pub-id-type="doi">10.3390/heritage5030128</pub-id>
</citation>
</ref>
<ref id="B9">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Barbosa</surname>
<given-names>F. C.</given-names>
</name>
<name>
<surname>De Freitas</surname>
<given-names>V. P.</given-names>
</name>
<name>
<surname>Almeida</surname>
<given-names>M.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>School building experimental characterization in Mediterranean climate regarding comfort, indoor air quality and energy consumption</article-title>. <source>Energy Build.</source> <volume>212</volume>, <fpage>109782</fpage>. <pub-id pub-id-type="doi">10.1016/j.enbuild.2020.109782</pub-id>
</citation>
</ref>
<ref id="B10">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Batterman</surname>
<given-names>S. T. U. A. R. T.</given-names>
</name>
<name>
<surname>Su</surname>
<given-names>F. C.</given-names>
</name>
<name>
<surname>Wald</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Watkins</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Godwin</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Thun</surname>
<given-names>G.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Ventilation rates in recently constructed US school classrooms</article-title>. <source>Indoor Air</source> <volume>27</volume> (<issue>5</issue>), <fpage>880</fpage>&#x2013;<lpage>890</lpage>. <pub-id pub-id-type="doi">10.1111/ina.12384</pub-id>
<pub-id pub-id-type="pmid">28370427</pub-id>
</citation>
</ref>
<ref id="B11">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bordalo</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Leite</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Almeida</surname>
<given-names>&#xc2;.</given-names>
</name>
<name>
<surname>Soares</surname>
<given-names>A. M. V. M.</given-names>
</name>
<name>
<surname>Pretti</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Freitas</surname>
<given-names>R.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Impacts of UV filters in <italic>Mytilus galloprovincialis</italic>: preliminary data on the acute effects induced by environmentally relevant concentrations</article-title>. <source>Sustainability</source> <volume>12</volume> (<issue>17</issue>), <fpage>6852</fpage>. <pub-id pub-id-type="doi">10.3390/su12176852</pub-id>
</citation>
</ref>
<ref id="B12">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Candanedo</surname>
<given-names>L. M.</given-names>
</name>
<name>
<surname>Feldheim</surname>
<given-names>V.</given-names>
</name>
<name>
<surname>Deramaix</surname>
<given-names>D.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Data driven prediction models of energy use of appliances in a low-energy house</article-title>. <source>Energy Build.</source> <volume>140</volume>, <fpage>81</fpage>&#x2013;<lpage>97</lpage>. <pub-id pub-id-type="doi">10.1016/j.enbuild.2017.01.083</pub-id>
</citation>
</ref>
<ref id="B13">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Celeiro</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Dagnac</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Llompart</surname>
<given-names>M.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Determination of priority and other hazardous substances in football fields of synthetic turf by gas chromatography-mass spectrometry: a health and environmental concern</article-title>. <source>Chemosphere</source> <volume>195</volume>, <fpage>201</fpage>&#x2013;<lpage>211</lpage>. <pub-id pub-id-type="doi">10.1016/j.chemosphere.2017.12.063</pub-id>
<pub-id pub-id-type="pmid">29268178</pub-id>
</citation>
</ref>
<ref id="B14">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chi</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Weng</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Yan</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Shen</surname>
<given-names>X.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Law and features of TVOC and Formaldehyde pollution in urban indoor air</article-title>. <source>Atmos. Environ.</source> <volume>132</volume>, <fpage>85</fpage>&#x2013;<lpage>90</lpage>. <pub-id pub-id-type="doi">10.1016/j.atmosenv.2016.02.043</pub-id>
</citation>
</ref>
<ref id="B15">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Coggins</surname>
<given-names>A. M.</given-names>
</name>
<name>
<surname>Wemken</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Mishra</surname>
<given-names>A. K.</given-names>
</name>
<name>
<surname>Sharkey</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Horgan</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Cowie</surname>
<given-names>H.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>Indoor air quality, thermal comfort and ventilation in deep energy retrofitted Irish dwellings</article-title>. <source>Build. Environ.</source> <volume>219</volume>, <fpage>109236</fpage>. <pub-id pub-id-type="doi">10.1016/j.buildenv.2022.109236</pub-id>
</citation>
</ref>
<ref id="B16">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>D&#x27;Agostino</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Greco</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Masselli</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Minichiello</surname>
<given-names>F.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>The employment of an earth-to-air heat exchanger as pre-treating unit of an air conditioning system for energy saving: a comparison among different worldwide climatic zones</article-title>. <source>Energy Build.</source> <volume>229</volume>, <fpage>110517</fpage>. <pub-id pub-id-type="doi">10.1016/j.enbuild.2020.110517</pub-id>
<pub-id pub-id-type="pmid">33041474</pub-id>
</citation>
</ref>
<ref id="B17">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>D&#x27;Orazio</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Maracchini</surname>
<given-names>G.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>An experimental investigation on the indoor hygrothermal environment of a reinforced-EPS based temporary housing solution</article-title>. <source>Energy Build.</source> <volume>204</volume>, <fpage>109500</fpage>. <pub-id pub-id-type="doi">10.1016/j.enbuild.2019.109500</pub-id>
</citation>
</ref>
<ref id="B18">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dabous</surname>
<given-names>S. A.</given-names>
</name>
<name>
<surname>Ibrahim</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Shareef</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Mushtaha</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Alsyouf</surname>
<given-names>I.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Sustainable fa&#xe7;ade cladding selection for buildings in hot climates based on thermal performance and energy consumption</article-title>. <source>Results Eng.</source> <volume>16</volume>, <fpage>100643</fpage>. <pub-id pub-id-type="doi">10.1016/j.rineng.2022.100643</pub-id>
</citation>
</ref>
<ref id="B19">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dodson</surname>
<given-names>R. E.</given-names>
</name>
<name>
<surname>Udesky</surname>
<given-names>J. O.</given-names>
</name>
<name>
<surname>Colton</surname>
<given-names>M. D.</given-names>
</name>
<name>
<surname>McCauley</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Camann</surname>
<given-names>D. E.</given-names>
</name>
<name>
<surname>Yau</surname>
<given-names>A. Y.</given-names>
</name>
<etal/>
</person-group> (<year>2017</year>). <article-title>Chemical exposures in recently renovated low-income housing: influence of building materials and occupant activities</article-title>. <source>Environ. Int.</source> <volume>109</volume>, <fpage>114</fpage>&#x2013;<lpage>127</lpage>. <pub-id pub-id-type="doi">10.1016/j.envint.2017.07.007</pub-id>
<pub-id pub-id-type="pmid">28916131</pub-id>
</citation>
</ref>
<ref id="B20">
<citation citation-type="web">
<collab>Dubai Municipality</collab> (<year>2022</year>). <article-title>Green building regulations and specifications</article-title>. <comment>Available online at: <ext-link ext-link-type="uri" xlink:href="https://www.dm.gov.ae/wp-ontent/uploads/2020/11/GreenBuildingRegulationsandSpeci-2.pdf">https://www.dm.gov.ae/wp-ontent/uploads/2020/11/GreenBuildingRegulationsandSpeci-2.pdf</ext-link> (Accessed January 14, 2022)</comment>.</citation>
</ref>
<ref id="B21">
<citation citation-type="web">
<collab>Dubai Municipality</collab> (<year>2024</year>). <article-title>HSD GU119: Technical guidelines for indoor air quality (IAQ) for healthy life (version 3). Health and safety department, environmental health section. Dubai municipality</article-title>. <comment>Available online at: <ext-link ext-link-type="uri" xlink:href="https://www.dm.gov.ae/">https://www.dm.gov.ae/</ext-link>.</comment>
</citation>
</ref>
<ref id="B74">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Farzanian</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Pimenta Teixeira</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Perdig&#xe3;o Rocha</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>De Sa Carneiro</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Ghahremaninezhad</surname>
<given-names>A.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>The mechanical strength, degree of hydration, and electrical resistivity of cement pastes modified with superabsorbent polymers</article-title>. <source>Construction and Building Materials</source> <volume>109</volume>, <fpage>156</fpage>&#x2013;<lpage>165</lpage>. <pub-id pub-id-type="doi">10.1016/j.conbuildmat.2015.12.082</pub-id>
</citation>
</ref>
<ref id="B22">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>F&#xf6;ldv&#xe1;ry</surname>
<given-names>V.</given-names>
</name>
<name>
<surname>Bek&#xf6;</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Langer</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Arrhenius</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Petr&#xe1;&#x161;</surname>
<given-names>D.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Effect of energy renovation on indoor air quality in multifamily residential buildings in Slovakia</article-title>. <source>Build. Environ.</source> <volume>122</volume>, <fpage>363</fpage>&#x2013;<lpage>372</lpage>. <pub-id pub-id-type="doi">10.1016/j.buildenv.2017.06.009</pub-id>
</citation>
</ref>
<ref id="B23">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gigante</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Papadaki</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Mazzoli</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Ntouros</surname>
<given-names>V.</given-names>
</name>
<name>
<surname>De Masi</surname>
<given-names>R. F.</given-names>
</name>
<name>
<surname>Assimakopoulos</surname>
<given-names>M. N.</given-names>
</name>
<etal/>
</person-group> (<year>2024</year>). <article-title>Indoor quality-oriented approach for the performance evaluation of building retrofit with fa&#xe7;ade transformation: case study of student dormitory in Mediterranean climate</article-title>. <source>Energy Build.</source> <volume>312</volume>, <fpage>114227</fpage>. <pub-id pub-id-type="doi">10.1016/j.enbuild.2024.114227</pub-id>
</citation>
</ref>
<ref id="B24">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gonz&#xe1;lez-Lezcano</surname>
<given-names>R. A.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Editorial: design of efficient and healthy buildings</article-title>. <source>Front. Built Environ</source>. <pub-id pub-id-type="doi">10.3389/fbuil.2023.1210956</pub-id>
</citation>
</ref>
<ref id="B25">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hermawan</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>&#x160;vajlenka</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Building envelope and the outdoor microclimate variable of vernacular houses: analysis on the environmental elements in tropical coastal and mountain areas of Indonesia</article-title>. <source>Sustainability</source> <volume>14</volume> (<issue>3</issue>), <fpage>1818</fpage>. <pub-id pub-id-type="doi">10.3390/su14031818</pub-id>
</citation>
</ref>
<ref id="B26">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hussien</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Jannat</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Mushtaha</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Al-Shammaa</surname>
<given-names>A.</given-names>
</name>
</person-group> (<year>2023a</year>). <article-title>A holistic plan of flat roof to green-roof conversion: towards a sustainable built environment</article-title>. <source>Ecol. Eng.</source> <volume>190</volume>, <fpage>106925</fpage>. <pub-id pub-id-type="doi">10.1016/j.ecoleng.2023.106925</pub-id>
</citation>
</ref>
<ref id="B27">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hussien</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Saleem</surname>
<given-names>A. A.</given-names>
</name>
<name>
<surname>Mushtaha</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Jannat</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Al-Shammaa</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Ali</surname>
<given-names>S. B.</given-names>
</name>
<etal/>
</person-group> (<year>2023b</year>). <article-title>A statistical analysis of life cycle assessment for buildings and buildings&#x2019; refurbishment research</article-title>. <source>Ain Shams Eng. J.</source> <volume>14</volume>, <fpage>102143</fpage>. <pub-id pub-id-type="doi">10.1016/j.asej.2023.102143</pub-id>
</citation>
</ref>
<ref id="B28">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jung</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Abdelaziz Mahmoud</surname>
<given-names>N. S.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Ventilation strategies for mitigating indoor air pollutants in high-rise residential buildings: a case study in Dubai</article-title>. <source>Atmosphere</source> <volume>14</volume> (<issue>11</issue>), <fpage>1600</fpage>. <pub-id pub-id-type="doi">10.3390/atmos14111600</pub-id>
</citation>
</ref>
<ref id="B29">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jung</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Al Qassimi</surname>
<given-names>N.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Investigating the emission of hazardous chemical substances from mashrabiya used for indoor air quality in hot desert climate</article-title>. <source>Sustainability</source> <volume>14</volume> (<issue>5</issue>), <fpage>2842</fpage>. <pub-id pub-id-type="doi">10.3390/su14052842</pub-id>
</citation>
</ref>
<ref id="B30">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jung</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Awad</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2021a</year>). <article-title>Improving the IAQ for learning efficiency with indoor plants in university classrooms in Ajman, United Arab Emirates</article-title>. <source>Buildings</source> <volume>11</volume> (<issue>7</issue>), <fpage>289</fpage>. <pub-id pub-id-type="doi">10.3390/buildings11070289</pub-id>
</citation>
</ref>
<ref id="B31">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jung</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Awad</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2021b</year>). <article-title>The improvement of indoor air quality in residential buildings in Dubai, UAE</article-title>. <source>Buildings</source> <volume>11</volume> (<issue>6</issue>), <fpage>250</fpage>. <pub-id pub-id-type="doi">10.3390/buildings11060250</pub-id>
</citation>
</ref>
<ref id="B32">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jung</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Awad</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Sharjah sustainable city: an analytic hierarchy process approach to urban planning priorities</article-title>. <source>Sustainability</source> <volume>15</volume> (<issue>10</issue>), <fpage>8217</fpage>. <pub-id pub-id-type="doi">10.3390/su15108217</pub-id>
</citation>
</ref>
<ref id="B33">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jung</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>El Samanoudy</surname>
<given-names>G.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Mitigating indoor air pollution in university dormitory: the need for better ventilation and resident awareness</article-title>. <source>Buildings</source> <volume>13</volume> (<issue>5</issue>), <fpage>1144</fpage>. <pub-id pub-id-type="doi">10.3390/buildings13051144</pub-id>
</citation>
</ref>
<ref id="B34">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jung</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Al Qassimi</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Arar</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Awad</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2021a</year>). <article-title>The analysis of indoor air pollutants from finishing material of new apartments at business bay, Dubai</article-title>. <source>Front. Built Environ.</source> <volume>7</volume>, <fpage>765689</fpage>. <pub-id pub-id-type="doi">10.3389/fbuil.2021.765689</pub-id>
</citation>
</ref>
<ref id="B35">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jung</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Awad</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Al Qassimi</surname>
<given-names>N.</given-names>
</name>
</person-group> (<year>2021b</year>). <article-title>Evaluation of residents&#x2019; comfort in high-rise residential buildings in Dubai, United Arab Emirates</article-title>. <source>Front. Built Environ.</source> <volume>145</volume>. <pub-id pub-id-type="doi">10.3389/fbuil.2021.766057</pub-id>
</citation>
</ref>
<ref id="B36">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jung</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Awad</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Chohan</surname>
<given-names>A.</given-names>
</name>
</person-group> (<year>2021c</year>). <article-title>The planning of smart elderly housing in Dubai with IoT technologies</article-title>. <source>Open House Int.</source> <volume>46</volume>, <fpage>668</fpage>&#x2013;<lpage>681</lpage>. <pub-id pub-id-type="doi">10.1108/ohi-08-2020-0121</pub-id>
</citation>
</ref>
<ref id="B37">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jung</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Al Qassimi</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Arar</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Awad</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2022a</year>). <article-title>The improvement of user satisfaction for two urban parks in Dubai, UAE: bay avenue park and Al ittihad park</article-title>. <source>Sustainability</source> <volume>14</volume> (<issue>6</issue>), <fpage>3460</fpage>. <pub-id pub-id-type="doi">10.3390/su14063460</pub-id>
</citation>
</ref>
<ref id="B38">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jung</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Alqassimi</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>El Samanoudy</surname>
<given-names>G.</given-names>
</name>
</person-group> (<year>2022b</year>). <article-title>Evaluating the adsorption performance of functional building material with HCHO remover</article-title>. <source>Front. Built Environ.</source> <volume>179</volume>. <pub-id pub-id-type="doi">10.3389/fbuil.2022.998872</pub-id>
</citation>
</ref>
<ref id="B39">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jung</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Awad</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Awad</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2022c</year>). <article-title>A study of optimal design process for complex-shaped skyscrapers&#x2019; structural systems in United Arab Emirates</article-title>. <source>Ain Shams Eng. J.</source> <volume>13</volume> (<issue>5</issue>), <fpage>101683</fpage>. <pub-id pub-id-type="doi">10.1016/j.asej.2021.101683</pub-id>
</citation>
</ref>
<ref id="B40">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jung</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Jeoung</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Hong</surname>
<given-names>T.</given-names>
</name>
</person-group> (<year>2022d</year>). <article-title>Occupant-centered real-time control of indoor temperature using deep learning algorithms</article-title>. <source>Build. Environ.</source> <volume>208</volume>, <fpage>108633</fpage>. <pub-id pub-id-type="doi">10.1016/j.buildenv.2021.108633</pub-id>
</citation>
</ref>
<ref id="B41">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jung</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Al Qassimi</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Abdelaziz Mahmoud</surname>
<given-names>N. S.</given-names>
</name>
<name>
<surname>Lee</surname>
<given-names>S. Y.</given-names>
</name>
</person-group> (<year>2022e</year>). <article-title>Analyzing the housing consumer preferences via analytic hierarchy process (AHP) in Dubai, United Arab Emirates</article-title>. <source>Behav. Sci.</source> <volume>12</volume> (<issue>9</issue>), <fpage>327</fpage>. <pub-id pub-id-type="doi">10.3390/bs12090327</pub-id>
<pub-id pub-id-type="pmid">36135131</pub-id>
</citation>
</ref>
<ref id="B42">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kaunelien&#x117;</surname>
<given-names>V.</given-names>
</name>
<name>
<surname>Prasauskas</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Krugly</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Stasiulaitien&#x117;</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>&#x10c;iu&#x17e;as</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>&#x160;eduikyt&#x117;</surname>
<given-names>L.</given-names>
</name>
<etal/>
</person-group> (<year>2016</year>). <article-title>Indoor air quality in low energy residential buildings in Lithuania</article-title>. <source>Build. Environ.</source> <volume>108</volume>, <fpage>63</fpage>&#x2013;<lpage>72</lpage>. <pub-id pub-id-type="doi">10.1016/j.buildenv.2016.08.018</pub-id>
</citation>
</ref>
<ref id="B43">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Khoshnava</surname>
<given-names>S. M.</given-names>
</name>
<name>
<surname>Rostami</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Mohamad Zin</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>&#x160;treimikien&#x117;</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Mardani</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Ismail</surname>
<given-names>M.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>The role of green building materials in reducing environmental and human health impacts</article-title>. <source>Int. J. Environ. Res. public health</source> <volume>17</volume> (<issue>7</issue>), <fpage>2589</fpage>. <pub-id pub-id-type="doi">10.3390/ijerph17072589</pub-id>
<pub-id pub-id-type="pmid">32290074</pub-id>
</citation>
</ref>
<ref id="B44">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Langer</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Ramalho</surname>
<given-names>O.</given-names>
</name>
<name>
<surname>Derbez</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Rib&#xe9;ron</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Kirchner</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Mandin</surname>
<given-names>C.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Indoor environmental quality in French dwellings and building characteristics</article-title>. <source>Atmos. Environ.</source> <volume>128</volume>, <fpage>82</fpage>&#x2013;<lpage>91</lpage>. <pub-id pub-id-type="doi">10.1016/j.atmosenv.2015.12.060</pub-id>
</citation>
</ref>
<ref id="B45">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liang</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Lv</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>X.</given-names>
</name>
</person-group> (<year>2016a</year>). <article-title>The combined effects of temperature and humidity on initial emittable formaldehyde concentration of a medium-density fiberboard</article-title>. <source>Build. Environ.</source> <volume>98</volume>, <fpage>80</fpage>&#x2013;<lpage>88</lpage>. <pub-id pub-id-type="doi">10.1016/j.buildenv.2015.12.024</pub-id>
</citation>
</ref>
<ref id="B46">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liang</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Lv</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>X.</given-names>
</name>
</person-group> (<year>2016b</year>). <article-title>The effect of humidity on formaldehyde emission parameters of a medium-density fiberboard: experimental observations and correlations</article-title>. <source>Build. Environ.</source> <volume>101</volume>, <fpage>110</fpage>&#x2013;<lpage>115</lpage>. <pub-id pub-id-type="doi">10.1016/j.buildenv.2016.03.008</pub-id>
</citation>
</ref>
<ref id="B47">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Maghrabie</surname>
<given-names>H. M.</given-names>
</name>
<name>
<surname>Abdelkareem</surname>
<given-names>M. A.</given-names>
</name>
<name>
<surname>Al-Alami</surname>
<given-names>A. H.</given-names>
</name>
<name>
<surname>Ramadan</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Mushtaha</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Wilberforce</surname>
<given-names>T.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>State-of-the-art technologies for building-integrated photovoltaic systems</article-title>. <source>Buildings</source> <volume>11</volume> (<issue>9</issue>), <fpage>383</fpage>. <pub-id pub-id-type="doi">10.3390/buildings11090383</pub-id>
</citation>
</ref>
<ref id="B48">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mendell</surname>
<given-names>M. J.</given-names>
</name>
<name>
<surname>Macher</surname>
<given-names>J. M.</given-names>
</name>
<name>
<surname>Kumagai</surname>
<given-names>K.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Measured moisture in buildings and adverse health effects: a review</article-title>. <source>Indoor air</source> <volume>28</volume> (<issue>4</issue>), <fpage>488</fpage>&#x2013;<lpage>499</lpage>. <pub-id pub-id-type="doi">10.1111/ina.12464</pub-id>
<pub-id pub-id-type="pmid">29683210</pub-id>
</citation>
</ref>
<ref id="B49">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mie</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Andersen</surname>
<given-names>H. R.</given-names>
</name>
<name>
<surname>Gunnarsson</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Kahl</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Kesse-Guyot</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Rembia&#x142;kowska</surname>
<given-names>E.</given-names>
</name>
<etal/>
</person-group> (<year>2017</year>). <article-title>Human health implications of organic food and organic agriculture: a comprehensive review</article-title>. <source>Environ. Health</source> <volume>16</volume> (<issue>1</issue>), <fpage>111</fpage>&#x2013;<lpage>122</lpage>. <pub-id pub-id-type="doi">10.1186/s12940-017-0315-4</pub-id>
<pub-id pub-id-type="pmid">29073935</pub-id>
</citation>
</ref>
<ref id="B50">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Militello-Hourigan</surname>
<given-names>R. E.</given-names>
</name>
<name>
<surname>Miller</surname>
<given-names>S. L.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>The impacts of cooking and an assessment of indoor air quality in Colorado passive and tightly constructed homes</article-title>. <source>Build. Environ.</source> <volume>144</volume>, <fpage>573</fpage>&#x2013;<lpage>582</lpage>. <pub-id pub-id-type="doi">10.1016/j.buildenv.2018.08.044</pub-id>
</citation>
</ref>
<ref id="B51">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mohamed</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Rodrigues</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Omer</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Calautit</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Overheating and indoor air quality in primary schools in the UK</article-title>. <source>Energy Build.</source> <volume>250</volume>, <fpage>111291</fpage>. <pub-id pub-id-type="doi">10.1016/j.enbuild.2021.111291</pub-id>
</citation>
</ref>
<ref id="B52">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Molina</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Kent</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Hall</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>Jones</surname>
<given-names>B.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>A data analysis of the Chilean housing stock and the development of modelling archetypes</article-title>. <source>Energy Build.</source> <volume>206</volume>, <fpage>109568</fpage>. <pub-id pub-id-type="doi">10.1016/j.enbuild.2019.109568</pub-id>
</citation>
</ref>
<ref id="B53">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Monge-Barrio</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Bes-Rastrollo</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Dorregaray-Oyaregui</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Gonz&#xe1;lez-Mart&#xed;nez</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Martin-Calvo</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>L&#xf3;pez-Hern&#xe1;ndez</surname>
<given-names>D.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>Encouraging natural ventilation to improve indoor environmental conditions at schools. Case studies in the north of Spain before and during COVID</article-title>. <source>Energy Build.</source> <volume>254</volume>, <fpage>111567</fpage>. <pub-id pub-id-type="doi">10.1016/j.enbuild.2021.111567</pub-id>
</citation>
</ref>
<ref id="B54">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mushtaha</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Helmy</surname>
<given-names>O.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Impact of building forms on thermal performance and thermal comfort conditions in religious buildings in hot climates: a case study in Sharjah city</article-title>. <source>Int. J. Sustain. Energy</source> <volume>36</volume> (<issue>10</issue>), <fpage>926</fpage>&#x2013;<lpage>944</lpage>. <pub-id pub-id-type="doi">10.1080/14786451.2015.1127234</pub-id>
</citation>
</ref>
<ref id="B55">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mushtaha</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Shareef</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Alsyouf</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>Mori</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Kayed</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Abdelrahim</surname>
<given-names>M.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>A study of the impact of major Urban Heat Island factors in a hot climate courtyard: the case of the University of Sharjah, UAE</article-title>. <source>Sustain. Cities Soc.</source> <volume>69</volume>, <fpage>102844</fpage>. <pub-id pub-id-type="doi">10.1016/j.scs.2021.102844</pub-id>
</citation>
</ref>
<ref id="B56">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Najini</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Nour</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Al-Zuhair</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Ghaith</surname>
<given-names>F.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Techno-economic analysis of green building codes in United Arab Emirates based on a case study office building</article-title>. <source>Sustainability</source> <volume>12</volume> (<issue>21</issue>), <fpage>8773</fpage>. <pub-id pub-id-type="doi">10.3390/su12218773</pub-id>
</citation>
</ref>
<ref id="B57">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Patino</surname>
<given-names>E. D. L.</given-names>
</name>
<name>
<surname>Siegel</surname>
<given-names>J. A.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Indoor environmental quality in social housing: a literature review</article-title>. <source>Build. Environ.</source> <volume>131</volume>, <fpage>231</fpage>&#x2013;<lpage>241</lpage>. <pub-id pub-id-type="doi">10.1016/j.buildenv.2018.01.013</pub-id>
</citation>
</ref>
<ref id="B58">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Salthammer</surname>
<given-names>T.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Formaldehyde sources, formaldehyde concentrations and air exchange rates in European housings</article-title>. <source>Build. Environ.</source> <volume>150</volume>, <fpage>219</fpage>&#x2013;<lpage>232</lpage>. <pub-id pub-id-type="doi">10.1016/j.buildenv.2018.12.042</pub-id>
</citation>
</ref>
<ref id="B59">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Singer</surname>
<given-names>B. C.</given-names>
</name>
<name>
<surname>Delp</surname>
<given-names>W. W.</given-names>
</name>
<name>
<surname>Black</surname>
<given-names>D. R.</given-names>
</name>
<name>
<surname>Walker</surname>
<given-names>I. S.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Measured performance of filtration and ventilation systems for fine and ultrafine particles and ozone in an unoccupied modern California house</article-title>. <source>Indoor air</source> <volume>27</volume> (<issue>4</issue>), <fpage>780</fpage>&#x2013;<lpage>790</lpage>. <pub-id pub-id-type="doi">10.1111/ina.12359</pub-id>
<pub-id pub-id-type="pmid">27917545</pub-id>
</citation>
</ref>
<ref id="B60">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Singer</surname>
<given-names>B. C.</given-names>
</name>
<name>
<surname>Chan</surname>
<given-names>W. R.</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>Y. S.</given-names>
</name>
<name>
<surname>Offermann</surname>
<given-names>F. J.</given-names>
</name>
<name>
<surname>Walker</surname>
<given-names>I. S.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Indoor air quality in California homes with code&#x2010;required mechanical ventilation</article-title>. <source>Indoor air</source> <volume>30</volume> (<issue>5</issue>), <fpage>885</fpage>&#x2013;<lpage>899</lpage>. <pub-id pub-id-type="doi">10.1111/ina.12676</pub-id>
<pub-id pub-id-type="pmid">32304607</pub-id>
</citation>
</ref>
<ref id="B61">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>&#x15a;mie&#x142;owska</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Mar&#x107;</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Zabiega&#x142;a</surname>
<given-names>B.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Indoor air quality in public utility environments&#x2014;a review</article-title>. <source>Environ. Sci. Pollut. Res.</source> <volume>24</volume>, <fpage>11166</fpage>&#x2013;<lpage>11176</lpage>. <pub-id pub-id-type="doi">10.1007/s11356-017-8567-7</pub-id>
<pub-id pub-id-type="pmid">28236201</pub-id>
</citation>
</ref>
<ref id="B62">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sui</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Tian</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>D.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Field measurements on indoor air quality of a residential building in Xi&#x27;an under different ventilation modes in winter</article-title>. <source>J. Build. Eng.</source> <volume>42</volume>, <fpage>103040</fpage>. <pub-id pub-id-type="doi">10.1016/j.jobe.2021.103040</pub-id>
</citation>
</ref>
<ref id="B63">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tagliabue</surname>
<given-names>L. C.</given-names>
</name>
<name>
<surname>Cecconi</surname>
<given-names>F. R.</given-names>
</name>
<name>
<surname>Rinaldi</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Ciribini</surname>
<given-names>A. L. C.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Data driven indoor air quality prediction in educational facilities based on IoT network</article-title>. <source>Energy Build.</source> <volume>236</volume>, <fpage>110782</fpage>. <pub-id pub-id-type="doi">10.1016/j.enbuild.2021.110782</pub-id>
</citation>
</ref>
<ref id="B64">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Trocquet</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Bernhardt</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Guglielmino</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Malandain</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>Liaud</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Englaro</surname>
<given-names>S.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>Near real-time monitoring of formaldehyde in a low-energy school building</article-title>. <source>Atmosphere</source> <volume>10</volume> (<issue>12</issue>), <fpage>763</fpage>. <pub-id pub-id-type="doi">10.3390/atmos10120763</pub-id>
</citation>
</ref>
<ref id="B65">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tsoulou</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>He</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Senick</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Mainelis</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Andrews</surname>
<given-names>C. J.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Monitoring summertime indoor overheating and pollutant risks and natural ventilation patterns of seniors in public housing</article-title>. <source>Indoor Built Environ.</source> <volume>32</volume> (<issue>5</issue>), <fpage>992</fpage>&#x2013;<lpage>1019</lpage>. <pub-id pub-id-type="doi">10.1177/1420326X221148728</pub-id>
</citation>
</ref>
<ref id="B66">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Nian</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Mao</surname>
<given-names>Y.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>An overview of studies on the hazards, component analysis and suppression of fumes in asphalt and asphalt mixtures</article-title>. <source>Constr. Build. Mater.</source> <volume>289</volume>, <fpage>123185</fpage>. <pub-id pub-id-type="doi">10.1016/j.conbuildmat.2021.123185</pub-id>
</citation>
</ref>
<ref id="B67">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wen</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Lu</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Zhong</surname>
<given-names>H.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Comparative study of the regeneration characteristics of LiCl and a new mixed liquid desiccant solution</article-title>. <source>Energy</source> <volume>163</volume>, <fpage>992</fpage>&#x2013;<lpage>1005</lpage>. <pub-id pub-id-type="doi">10.1016/j.energy.2018.08.188</pub-id>
</citation>
</ref>
<ref id="B68">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yang</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Pernot</surname>
<given-names>J. G.</given-names>
</name>
<name>
<surname>J&#xf6;rin</surname>
<given-names>C. H.</given-names>
</name>
<name>
<surname>Niculita-Hirzel</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Perret</surname>
<given-names>V.</given-names>
</name>
<name>
<surname>Licina</surname>
<given-names>D.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Energy, indoor air quality, occupant behavior, self-reported symptoms and satisfaction in energy-efficient dwellings in Switzerland</article-title>. <source>Build. Environ.</source> <volume>171</volume>, <fpage>106618</fpage>. <pub-id pub-id-type="doi">10.1016/j.buildenv.2019.106618</pub-id>
</citation>
</ref>
<ref id="B69">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yousefi</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Gholipour</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Yan</surname>
<given-names>W.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>A study of the impact of occupant behaviors on energy performance of building envelopes using occupants&#x2019; data</article-title>. <source>Energy Build.</source> <volume>148</volume>, <fpage>182</fpage>&#x2013;<lpage>198</lpage>. <pub-id pub-id-type="doi">10.1016/j.enbuild.2017.04.085</pub-id>
</citation>
</ref>
<ref id="B70">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yu</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>He</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Zhou</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Shen</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>H.</given-names>
</name>
<etal/>
</person-group> (<year>2017</year>). <article-title>Experiments and kinetics of solar PCO for indoor air purification in PCO/TW system</article-title>. <source>Build. Environ.</source> <volume>115</volume>, <fpage>130</fpage>&#x2013;<lpage>146</lpage>. <pub-id pub-id-type="doi">10.1016/j.buildenv.2017.01.026</pub-id>
</citation>
</ref>
<ref id="B71">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Srinivasan</surname>
<given-names>R.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>A systematic review of air quality sensors, guidelines, and measurement studies for indoor air quality management</article-title>. <source>Sustainability</source> <volume>12</volume> (<issue>21</issue>), <fpage>9045</fpage>. <pub-id pub-id-type="doi">10.3390/su12219045</pub-id>
</citation>
</ref>
<ref id="B72">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Wulff</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Duan</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Wagner</surname>
<given-names>P.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Associations between the physical environment and park-based physical activity: a systematic review</article-title>. <source>J. sport health Sci.</source> <volume>8</volume> (<issue>5</issue>), <fpage>412</fpage>&#x2013;<lpage>421</lpage>. <pub-id pub-id-type="doi">10.1016/j.jshs.2018.11.002</pub-id>
<pub-id pub-id-type="pmid">31534816</pub-id>
</citation>
</ref>
<ref id="B73">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhao</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Chan</surname>
<given-names>W. R.</given-names>
</name>
<name>
<surname>Cohn</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Delp</surname>
<given-names>W. W.</given-names>
</name>
<name>
<surname>Walker</surname>
<given-names>I. S.</given-names>
</name>
<name>
<surname>Singer</surname>
<given-names>B. C.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Indoor air quality in new and renovated low&#x2010;income apartments with mechanical ventilation and natural gas cooking in California</article-title>. <source>Indoor air</source> <volume>31</volume> (<issue>3</issue>), <fpage>717</fpage>&#x2013;<lpage>729</lpage>. <pub-id pub-id-type="doi">10.1111/ina.12764</pub-id>
<pub-id pub-id-type="pmid">33070378</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>