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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Water</journal-id>
<journal-title>Frontiers in Water</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Water</abbrev-journal-title>
<issn pub-type="epub">2624-9375</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/frwa.2024.1392800</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Water</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Performance of traditional household drinking water treatment methods used in rural Amazon</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Gomes</surname> <given-names>Maria Cecilia Rosinski Lima</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2620601/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>de Andrade</surname> <given-names>Leonardo Capeleto</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2668961/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Barbosa</surname> <given-names>Milena Pinho</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Lopes</surname> <given-names>Bruna Coelho</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Mota Filho</surname> <given-names>Cesar Rossas</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
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<aff id="aff1"><sup>1</sup><institution>Mamiraua Institute for Sustainable Development</institution>, <addr-line>Tef&#x00E9;</addr-line>, <country>Brazil</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Civil and Environmental Engineering, Federal University of Minas Gerais</institution>, <addr-line>Belo Horizonte</addr-line>, <country>Brazil</country></aff>
<aff id="aff3"><sup>3</sup><institution>Institute of Geosciences, University of S&#x00E3;o Paulo</institution>, <addr-line>S&#x00E3;o Paulo</addr-line>, <country>Brazil</country></aff>
<aff id="aff4"><sup>4</sup><institution>State University of Amazonas</institution>, <addr-line>Tef&#x00E9;</addr-line>, <country>Brazil</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Priscila Neves Silva, Oswaldo Cruz Foundation (Fiocruz), Brazil</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Gagan Matta, Gurukul Kangri University, India</p>
<p>Davi Victral, Oswaldo Cruz Foundation (Fiocruz), Brazil</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Maria Cecilia Rosinski Lima Gomes, <email>engceciliagomes@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>07</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>6</volume>
<elocation-id>1392800</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>02</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>06</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Gomes, de Andrade, Barbosa, Lopes and Mota Filho.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Gomes, de Andrade, Barbosa, Lopes and Mota Filho</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>Residents of remote areas in the Amazon often lack access to a water supply system and thus need to produce their potable water at home. This study examined the efficacy of household water treatments traditionally used by these communities to treat rainwater and river water, their predominant water sources. Samples of untreated, treated, and stored drinking water were collected from 18 households in three communities in Central Amazon, Amazonas State, Brazil. We describe the materials and practices involved and traditionally used in each treatment technique &#x2013; cloth filtration (water straining), chlorination, and sedimentation, and their efficiency. In the samples we evaluate water quality analyses, as free chlorine, color, coliforms, and turbidity. The treatment steps for the separation of solids in river water were effective only for removing turbidity and apparent color. Straining river water after sedimentation had no relevant effect on water quality. Chlorination of rainwater was efficient in inactivating <italic>Escherichia coli</italic>; however, all samples showed some level of contamination by <italic>E. coli</italic>. We found a significant difference (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) between untreated and treated river water turbidity, reduced by up to 22%. Untreated rain and river waters showed similar levels of microbiological contamination, close to 3.5&#x2009;log&#x2009;CFU/100&#x2009;mL of <italic>E. coli</italic>. Chlorine effectively removed microbiological contaminants in rainwater (median removal of 100, 44.5% of samples with &#x003C;1&#x2009;CFU/100&#x2009;mL). Yet, this treatment was less effective for river water (94% median removal, with 11% of samples with &#x003C;100&#x2009;CFU/100&#x2009;mL and only 5.5% with &#x003C;1&#x2009;CFU/100&#x2009;mL found in treated water), showing a significant reduction in both cases when the Wilcoxon test was applied. Sodium hypochlorite treatment showed the best results among the techniques evaluated in this study. It can be used in remote areas where rainwater is available for consumption. Microorganism concentration increased after water underwent water straining and sedimentation processes. These results suggest that the improper handling of water containers and materials used during treatment processes leads to contamination of water. Thus, more robust outreach and educational efforts are recommended to improve remote communities&#x2019; water collection, treatment, and storage practices.</p>
</abstract>
<kwd-group>
<kwd>waterborne diseases</kwd>
<kwd>SDG6</kwd>
<kwd>rainwater</kwd>
<kwd>river</kwd>
<kwd>water safety</kwd>
<kwd>Amazonia</kwd>
<kwd>riverine people</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="43"/>
<page-count count="10"/>
<word-count count="6299"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Water and Human Systems</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Universal and equitable access to safe drinking water across the globe is an international priority and is part of Sustainable Development Goal number 6, as established by the United Nations (<xref ref-type="bibr" rid="ref39">UNICEF, 2019</xref>). In different regions of the world, urban and rural populations lack access to drinking water. In Northern Brazil, home to the Amazon biome, 25% of households are not connected to a water supply network; this is well above the national average of 8% (<xref ref-type="bibr" rid="ref23">IBGE, 2019</xref>). Rainwater and river waters are rural populations&#x2019; main drinking water sources (<xref ref-type="bibr" rid="ref12">Cardoso, 2021</xref>; <xref ref-type="bibr" rid="ref20">Gomes et al., 2022</xref>). The Amazon hosts high levels of biodiversity and provides ecosystem services globally, including carbon sequestration (<xref ref-type="bibr" rid="ref38">Strand et al., 2018</xref>; <xref ref-type="bibr" rid="ref24">Joly et al., 2019</xref>). Sustainable development is the most viable strategy for biodiversity conservation and maintaining ecosystem services. This development model concurrently seeks to improve the quality of life of local populations (<xref ref-type="bibr" rid="ref11">Campos-silva et al., 2018</xref>; <xref ref-type="bibr" rid="ref19">Franco et al., 2021</xref>).</p>
<p>The riverine people, recognized as traditional communities in Brazil, exist in a challenging environment for human development due to the annual flood pulses, waterway-only transport, long distances from urban centers, and a lack of infrastructure (<xref ref-type="bibr" rid="ref14">de Andrade et al., 2021</xref>). Most of them live in wood-made stilt houses along the main rivers, with gain income from extractivism, fishing, agriculture, and services. Access to safe drinking water is fundamental to quality of life and is urgent for Amazonian populations.</p>
<p>Since the beginning of COVID-19, actions to prevent emerging diseases and new global pandemics have been urgent. Households in remote areas are in contact with wild animals, and populations are subject to zoonoses from the crossover of pathogenic organisms from wild and domestic non-human and human species (<xref ref-type="bibr" rid="ref15">Ellwanger et al., 2020</xref>). In this context, high-quality water is a barrier to emerging diseases, as the pollution of waters, soils, and other objects also promotes widespread exposure to pathogenic microorganisms (<xref ref-type="bibr" rid="ref33">O&#x2019;Brien and Xagoraraki, 2019</xref>).</p>
<p>Household or point-of-use (POU) water treatment is encouraged in the absence of safe water supply systems to reduce diarrheal diseases (<xref ref-type="bibr" rid="ref41">WHO, 2017</xref>). Nevertheless, positive effects depend on correct, effective, consistent, and continued use of these methods (<xref ref-type="bibr" rid="ref7">Bivins et al., 2019</xref>). POU treatments are only effective when more than 90% of water consumed at home is being treated (<xref ref-type="bibr" rid="ref9">Brown and Clasen, 2012</xref>) &#x2013; or, in other words, great adherence to these practices is sustained (<xref ref-type="bibr" rid="ref39">UNICEF, 2019</xref>). The quality of treated water is used to classify the risk level for health diseases (<xref ref-type="bibr" rid="ref40">WHO, 2012</xref>). In the Central Amazon, many families use traditional POU practices, such as sedimentation, cloth filtrations, and hypochlorite. Sodium hypochlorite is employed by 43% of all households as the only treatment technique, and it is combined with other techniques at 25% of households (<xref ref-type="bibr" rid="ref20">Gomes et al., 2022</xref>). Despite the widespread use of POU, its efficiency in improving water quality is unknown. Thus, this study aimed to evaluate the effectiveness of removing solids and microbial contamination of household water treatments in riverine communities from Central Amazon.</p>
<p>In this study we sampled water untreated and treated (through traditional household water treatment), from river and rainwater. Thus, we have identified cases where treatment techniques, and handling practices have not been effectively utilized to make the water potable and propose specific efforts that the government and institutions should undertake to enhance water quality.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<p>We collected POU-treated water from 18 residences belonging to three communities (Caburini, S&#x00ED;tio Fortaleza, and V&#x00E1;rzea Alegre) located in a floodplain area in the middle Solim&#x00F5;es region, Amazonas State, Central Amazon, Brazil (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Here, we also conducted observations to learn more about household treatments.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Location map of study area in the Central Amazon with yellow points at the communities where samples were collected.</p>
</caption>
<graphic xlink:href="frwa-06-1392800-g001.tif"/>
</fig>
<p>Rainwater samples were collected during the rainy season (Dec/2021 to Feb/2022). River water samples were collected during the dry season (July to October 2022) &#x2013; when families rely more heavily on this water source.</p>
<p>For rainwater, we evaluated three treatment techniques: cloth filtration (C), chlorine disinfection (Cl), and cloth filtration&#x2009;+&#x2009;chlorine disinfection (C&#x2009;+&#x2009;Cl). For river water, five-technique combinations were tested (all of which included at least one sedimentation step): sedimentation (S); sedimentation&#x2009;+&#x2009;cloth filtration (S&#x2009;+&#x2009;C); sedimentation&#x2009;+&#x2009;cloth filtration&#x2009;+&#x2009;chlorine disinfection (S&#x2009;+&#x2009;C&#x2009;+&#x2009;Cl); sedimentation&#x2009;+&#x2009;chlorine disinfection (S&#x2009;+&#x2009;Cl); flocculant&#x2009;+&#x2009;chlorine disinfection (F&#x2009;+&#x2009;Cl). The commercial flocculant <italic>Water Purifier</italic> P&#x0026;G&#x00AE; was used as a reference, as some families in the region have had access to this treatment type since 2017 (<xref ref-type="bibr" rid="ref17">FAS, 2019</xref>). Sodium hypochlorite, distributed by the Brazilian government, has a concentration around 2.38% of active chlorine (<xref ref-type="bibr" rid="ref27">Minist&#x00E9;rio da Sa&#x00FA;de, 2018</xref>).</p>
<p>Residents were asked to carry out daily water treatment techniques as usual. Water samples were collected at each step of the treatment process, and details about the practice were described and recorded. Drinking water samples were collected from household containers readily available for drinking, and residents described the origin and type of water treatment conducted.</p>
<p>Samples were placed inside sterile flasks and bags containing sodium thiosulphate when containing chlorine, transported at 4&#x00B0;C to the laboratory at the Mamirau&#x00E1; Institute (Tef&#x00E9;/AM) in thermal boxes, and packed and processed within 48&#x2009;h after collection.</p>
<sec id="sec3">
<label>2.1</label>
<title>Water quality analyses</title>
<p>The free chlorine concentration was measured (photometer Hanna&#x00AE; HI 97710) between 25 and 30&#x2009;min after adding sodium hypochlorite and between 20 and 30&#x2009;min after mixing P&#x0026;G&#x00AE; flocculant, as recommended by the manufacturers.</p>
<p>In the laboratory, we evaluated the following: true and apparent color (Hach<italic>&#x00AE;</italic> DR3900 spectrophotometer, 465&#x2009;nm); total coliform and <italic>Escherichia coli</italic> [Method 9222 membrane filtration (<xref ref-type="bibr" rid="ref4">APHA, 2005</xref>)]; turbidity (turbidimeters <italic>Policontrol&#x00AE; AP2000</italic> for rainwater and <italic>Hanna&#x00AE; HI93793</italic> for river water).</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Data analysis and statistics</title>
<p>The concentration <italic>of E. coli</italic> in treated water was classified according to health risk levels, from &#x201C;No Risk&#x201D; to &#x201C;Very High Risk&#x201D; (<xref ref-type="bibr" rid="ref40">WHO, 2012</xref>).</p>
<p>Data distribution was evaluated using Normal Probability charts and Shapiro&#x2013;Wilk adherence test. The Wilcoxon test for paired data comparison was used to analyze the differences in quality between untreated and treated water pairs, with each type of treatment evaluated separately for river water and rainwater. A 95% confidence interval was considered (significant <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). Statistica10 software was used in the analyses.</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Ethical aspects</title>
<p>The study was approved on ethical grounds and presented no risk to participant groups (Certificate of Presentation of Ethical Appreciation No. 42236920.7.0000.8117). Participants signed a Free and Informed Consent Form to participate in the research.</p>
</sec>
</sec>
<sec sec-type="results" id="sec6">
<label>3</label>
<title>Results</title>
<p>The initial results comprise a description of the household water treatments based on the observations, followed by an assessment of their effectiveness in enhancing the quality of river and rainwater.</p>
<sec id="sec7">
<label>3.1</label>
<title>Description of traditionally used water treatment techniques</title>
<p>Cloth filter (<italic>straining</italic>): Rainwater is filtered at its source or POU (<xref ref-type="fig" rid="fig2">Figure 2A</xref>). Residents used the following fabrics: old T-shirts, cotton kitchen towels, bed linen fabrics, non-woven fabric, and cloth coffee filters; most used a single layer (no folds) of these materials. Some fabrics are used exclusively for filtering water, while others are used to dry kitchen utensils and surfaces. Families use buckets, plastic bottles, and pans as water containers. Buckets and pans are generally used for water collection and other household uses.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Household water treatments: <bold>(A)</bold> straining water with cloth filter C, <bold>(B)</bold> addition of chlorine Cl, <bold>(C)</bold> sedimentation process S, <bold>(D)</bold> P&#x0026;G Water Purifier F&#x2009;+&#x2009;Cl.</p>
</caption>
<graphic xlink:href="frwa-06-1392800-g002.tif"/>
</fig>
<p>Chlorination: Water is treated with sodium hypochlorite solution, usually added to drinking water receptacles (buckets, bottles, etc.) or sometimes directly to the tank used to collect rainwater (<xref ref-type="fig" rid="fig2">Figure 2B</xref>). The chlorinated water is left to stand for at least 30&#x2009;min before consumption. Doses of 0.25&#x2013;1.5 drops per liter in rainwater and 1.0&#x2013;2.5 drops per liter in river water were used. Some participants reported that adding more chlorine would result in a bad taste in the water.</p>
<p>Sedimentation: In this process, river water is collected in buckets or plastic gallons of up to 20&#x2009;L in the afternoon. The water then sits at rest for 15&#x2013;17&#x2009;h (most commonly) up to 36&#x2009;h. Water is then poured into a large storage container and is strained with a cloth filter. Water collection and sedimentation containers are not used exclusively for these purposes and may be used for other domestic activities. The recipient has a lid or is covered with cloth (<xref ref-type="fig" rid="fig2">Figure 2C</xref>).</p>
<p>Water Purifying Flocculant (P&#x0026;G)&#x00AE;: The contents of the sachet (5&#x2009;g) are added to a bucket of 10&#x2009;L of water and mixed with a spoon. After mixing, residents wait for the water to settle until it becomes clear &#x2013; being left for up to one night. Water is then strained into the water storage. No particular attention was paid to the recommended mixing and rest time of 20&#x2009;min after straining (<xref ref-type="fig" rid="fig2">Figure 2D</xref>).</p>
</sec>
<sec id="sec8">
<label>3.2</label>
<title>How effective are the household water treatment methods?</title>
<p>In riverine communities in Central Amazonia, river and rainwater collected by families have a high concentration of total coliform and <italic>E. coli</italic> (<xref ref-type="table" rid="tab1">Table 1</xref>) and need to be treated before consumption. Raw rainwater and river water showed similar patterns concerning <italic>E. coli</italic> concentration, being close to 3.5&#x2009;log&#x2009;CFU/100&#x2009;mL (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Efficacy of traditional rainwater and river water treatments in study area.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="3">Variables</th>
<th rowspan="2"/>
<th align="center" valign="top" colspan="10">Household water treatment type</th>
<th rowspan="2"/>
</tr>
<tr>
<th align="center" valign="top" colspan="4">Rainwater</th>
<th align="center" valign="top" colspan="6">River water</th>
</tr>
<tr>
<th align="left" valign="top">Measurements</th>
<th align="center" valign="top">Raw (<italic>n</italic>&#x2009;=&#x2009;9)</th>
<th align="center" valign="top">C (<italic>n</italic>&#x2009;=&#x2009;9)</th>
<th align="center" valign="top">Cl (<italic>n</italic>&#x2009;=&#x2009;9)</th>
<th align="center" valign="top">C&#x2009;+&#x2009;Cl (<italic>n</italic>&#x2009;=&#x2009;9)</th>
<th align="center" valign="top">Raw (<italic>n</italic>&#x2009;=&#x2009;9)</th>
<th align="center" valign="top">S (<italic>n</italic>&#x2009;=&#x2009;9)</th>
<th align="center" valign="top">S&#x2009;+&#x2009;C (<italic>n</italic>&#x2009;=&#x2009;9)</th>
<th align="center" valign="top">S&#x2009;+&#x2009;C&#x2009;+&#x2009;Cl (<italic>n</italic>&#x2009;=&#x2009;9)</th>
<th align="center" valign="top">S&#x2009;+&#x2009;Cl (<italic>n</italic>&#x2009;=&#x2009;9)</th>
<th align="center" valign="top">F&#x2009;+&#x2009;Cl (<italic>n</italic>&#x2009;=&#x2009;9)</th>
<th align="center" valign="top">Consumption (<italic>n</italic>&#x2009;=&#x2009;16)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="3">Turbidity (NTU)</td>
<td align="left" valign="top">Median (min&#x2013;max)</td>
<td align="center" valign="top">0.3 (0&#x2013;1.8)</td>
<td align="center" valign="top">0.8 (0&#x2013;1.6)</td>
<td align="center" valign="top">0.4 (0&#x2013;1.6)</td>
<td align="center" valign="top">0.8 (0&#x2013;1.3)</td>
<td align="center" valign="top">44 (33&#x2013;82)</td>
<td align="center" valign="top">36 (31&#x2013;44)</td>
<td align="center" valign="top">39 (33&#x2013;46)</td>
<td align="center" valign="top">40 (30&#x2013;44)</td>
<td align="center" valign="top">36 (33&#x2013;45)</td>
<td align="center" valign="top">0.6 (0.3&#x2013;1.8)</td>
<td align="center" valign="top">0.8 (0&#x2013;6.5)</td>
</tr>
<tr>
<td align="left" valign="top">Efficiency</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">1%</td>
<td align="center" valign="top">6%</td>
<td align="center" valign="top">6%</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">16%</td>
<td align="center" valign="top">12%</td>
<td align="center" valign="top">22%</td>
<td align="center" valign="top">14%</td>
<td align="center" valign="top">99%</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>p</italic> value&#x002A;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.5</td>
<td align="center" valign="top">0.61</td>
<td align="center" valign="top">0.75</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.01&#x002A;</td>
<td align="center" valign="top">0.01&#x002A;</td>
<td align="center" valign="top">0.01&#x002A;</td>
<td align="center" valign="top">0.01&#x002A;</td>
<td align="center" valign="top">0.01&#x002A;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Apparent color (uC)</td>
<td align="left" valign="top">Median (min&#x2013;max)</td>
<td align="center" valign="top">12 (5&#x2013;43)</td>
<td align="center" valign="top">13 (2&#x2013;42)</td>
<td align="center" valign="top">9 (6&#x2013;13)</td>
<td align="center" valign="top">11 (6&#x2013;23)</td>
<td align="center" valign="top">403 (237&#x2013;565)</td>
<td align="center" valign="top">298 (247&#x2013;387)</td>
<td align="center" valign="top">318 (248&#x2013;401)</td>
<td align="center" valign="top">309 (247&#x2013;377)</td>
<td align="center" valign="top">308 (237&#x2013;379)</td>
<td align="center" valign="top">4.5 (0&#x2013;22)</td>
<td align="center" valign="top">9 (0&#x2013;49)</td>
</tr>
<tr>
<td align="left" valign="top">Efficiency</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2212;18%</td>
<td align="center" valign="top">17%</td>
<td align="center" valign="top">8%</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">25%</td>
<td align="center" valign="top">18%</td>
<td align="center" valign="top">26%</td>
<td align="center" valign="top">23%</td>
<td align="center" valign="top">99%</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>p</italic> value</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.21</td>
<td align="center" valign="top">0.13</td>
<td align="center" valign="top">0.48</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.01&#x002A;</td>
<td align="center" valign="top">0.02&#x002A;</td>
<td align="center" valign="top">0.02&#x002A;</td>
<td align="center" valign="top">0.01&#x002A;</td>
<td align="center" valign="top">0.01&#x002A;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">True color (uC)</td>
<td align="left" valign="top">Median (min&#x2013;max)</td>
<td align="center" valign="top">1 (0&#x2013;3)</td>
<td align="center" valign="top">1 (0&#x2013;3)</td>
<td align="center" valign="top">0 (0&#x2013;4)</td>
<td align="center" valign="top">0 (0&#x2013;3)</td>
<td align="center" valign="top">29 (24&#x2013;36)</td>
<td align="center" valign="top">30 (18&#x2013;55)</td>
<td align="center" valign="top">30 (20&#x2013;70)</td>
<td align="center" valign="top">22 (16&#x2013;45)</td>
<td align="center" valign="top">23 (16&#x2013;58)</td>
<td align="center" valign="top">Two (0&#x2013;4)</td>
<td align="center" valign="top">1 (0&#x2013;9)</td>
</tr>
<tr>
<td align="left" valign="top">Efficiency</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">67%</td>
<td align="center" valign="top">100%</td>
<td align="center" valign="top">100%</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">11%</td>
<td align="center" valign="top">7%</td>
<td align="center" valign="top">19%</td>
<td align="center" valign="top">7%</td>
<td align="center" valign="top">94%</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>p</italic> value</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.35</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">0.83</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.81</td>
<td align="center" valign="top">0.64</td>
<td align="center" valign="top">0.09</td>
<td align="center" valign="top">0.44</td>
<td align="center" valign="top">0.01&#x002A;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Total coliform (log CFU/100&#x2009;mL)</td>
<td align="left" valign="top">Median (min&#x2013;max)</td>
<td align="center" valign="top">5.43 (4.1&#x2013;7.5)</td>
<td align="center" valign="top">5.53 (4.3&#x2013;6.7)</td>
<td align="center" valign="top">1.00 (0&#x2013;2.5)</td>
<td align="center" valign="top">1.11 (0&#x2013;2.7)</td>
<td align="center" valign="top">4.2 (3.3&#x2013;5.3)</td>
<td align="center" valign="top">4.5 (4.2&#x2013;6.3)</td>
<td align="center" valign="top">4.7 (3.8&#x2013;6.2)</td>
<td align="center" valign="top">2.9 (1.8&#x2013;3.2)</td>
<td align="center" valign="top">3 (1.6&#x2013;4.8)</td>
<td align="center" valign="top">1.4 (0&#x2013;3.3)</td>
<td align="center" valign="top">5.4 (2.1&#x2013;7.1)</td>
</tr>
<tr>
<td align="left" valign="top">Average efficiency</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2212;0.14 log &#x2212;40%</td>
<td align="center" valign="top">4.20 log 100%</td>
<td align="center" valign="top">4.53 log 100%</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2212;0.33 log &#x2212;115%</td>
<td align="center" valign="top">&#x2212;0.48 log &#x2212;199%</td>
<td align="center" valign="top">1.28 log 95%</td>
<td align="center" valign="top">1.25 log 94%</td>
<td align="center" valign="top">1.45 log 99.8%</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>p</italic> value</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.33</td>
<td align="center" valign="top">0.01&#x002A;</td>
<td align="center" valign="top">0.01&#x002A;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.11</td>
<td align="center" valign="top">0.14</td>
<td align="center" valign="top">0.01&#x002A;</td>
<td align="center" valign="top">0.02&#x002A;</td>
<td align="center" valign="top">0.01&#x002A;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3"><italic>E. coli</italic> (log CFU/100&#x2009;mL)</td>
<td align="left" valign="top">Median</td>
<td align="center" valign="top">3.46 (2.7&#x2013;5.2)</td>
<td align="center" valign="top">3.60 (2.5&#x2013;5.3)</td>
<td align="center" valign="top">0 (0&#x2013;1.4)</td>
<td align="center" valign="top">0 (0&#x2013;1.9)</td>
<td align="center" valign="top">3.5 (2.3&#x2013;4.0)</td>
<td align="center" valign="top">3.8 (3.1&#x2013;4.4)</td>
<td align="center" valign="top">4 (2.7&#x2013;5.0)</td>
<td align="center" valign="top">2.3 (0&#x2013;3.7)</td>
<td align="center" valign="top">2.1 (0.9&#x2013;3.3)</td>
<td align="center" valign="top">0.7 (0&#x2013;2.6)</td>
<td align="center" valign="top">2.9 (0&#x2013;5.9)</td>
</tr>
<tr>
<td align="left" valign="top">Average efficiency</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.09 log 18%</td>
<td align="center" valign="top">3.46 log 100%</td>
<td align="center" valign="top">3.13 log 100%</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2212;0.23 log &#x2212;71%</td>
<td align="center" valign="top">&#x2212;0.08 log &#x2212;20%</td>
<td align="center" valign="top">1.24 log 94%</td>
<td align="center" valign="top">1.30 log 95%</td>
<td align="center" valign="top">2.39 log 99.4%</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top"><italic>p</italic> value</td>
<td/>
<td align="center" valign="top">0.33</td>
<td align="center" valign="top">0.01&#x002A;</td>
<td align="center" valign="top">0.01&#x002A;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.17</td>
<td align="center" valign="top">0.21</td>
<td align="center" valign="top">0.02&#x002A;</td>
<td align="center" valign="top">0.01&#x002A;</td>
<td align="center" valign="top">0.01&#x002A;</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Chlorine added (mg/L)&#x002A;&#x002A;</td>
<td align="left" valign="top">Median (min&#x2013;max)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">1.01 (0.59&#x2013;1.19)</td>
<td align="center" valign="top">1.01 (0.59&#x2013;1.19)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">1.19 (1.19&#x2013;2.97)</td>
<td align="center" valign="top">1.19 (1.19&#x2013;2.97)</td>
<td align="center" valign="top">2.18 (2.18&#x2013;2.18)</td>
<td align="center" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top">Free chlorine (mg/L)&#x002A;&#x002A;</td>
<td align="left" valign="top">Median (min&#x2013;max)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">1.01 (0&#x2013;1.5)</td>
<td align="center" valign="top">1.01 (0&#x2013;1.53)</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">&#x2013;</td>
<td align="center" valign="top">0.08 (0.03&#x2013;1.89)</td>
<td align="center" valign="top">0.05 (0&#x2013;1.09)</td>
<td align="center" valign="top">0.01 (0&#x2013;0.38)</td>
<td align="center" valign="top">0 (0&#x2013;0.1)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>C, cloth filtration; Cl, chlorination; S, sedimentation; F, flocculation.</p>
<p>&#x002A;Significant <italic>p</italic>-values (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) in the Wilcoxon test. &#x002A;&#x002A;Untreated water (Raw), C, S, and S&#x2009;+&#x2009;C did not receive chlorine.</p>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="tab2">Table 2</xref> summarizes the efficiency of the methods for each contamination. The treatment steps for the separation of solids in river water were partially effective only for removing turbidity (12&#x2013;22% of turbidity) and apparent color (18&#x2013;26% of apparent color). Pouring rainwater through cloth filters (water straining) (C) did not reduce any of the evaluated parameters (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Summary of the efficiency of traditional rainwater and river water treatments in study area.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="3">Efficiency</th>
<th align="left" valign="top" colspan="8">Household water treatment type</th>
</tr>
<tr>
<th align="left" valign="top" colspan="3">Rainwater</th>
<th align="left" valign="top" colspan="5">River water</th>
</tr>
<tr>
<th align="left" valign="top">C</th>
<th align="left" valign="top">Cl</th>
<th align="left" valign="top">C&#x2009;+&#x2009;Cl</th>
<th align="left" valign="top">S</th>
<th align="left" valign="top">S&#x2009;+&#x2009;C</th>
<th align="left" valign="top">S&#x2009;+&#x2009;C&#x2009;+&#x2009;Cl</th>
<th align="left" valign="top">S&#x2009;+&#x2009;Cl</th>
<th align="left" valign="top">F&#x2009;+&#x2009;Cl</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top"><bold>No/low efficient for:</bold> (0&#x2013;20% turbidity and color; 0&#x2013;50% microbiological)</td>
<td align="left" valign="top">Turbidity<break/>Apparent color<break/>True color<break/>Total coliform<break/><italic>E. coli</italic></td>
<td align="left" valign="top">Turbidity<break/>Apparent color</td>
<td align="left" valign="top">Turbidity<break/>Apparent color</td>
<td align="left" valign="top">Turbidity<break/>True color<break/>Total coliform<break/><italic>E. coli</italic></td>
<td align="left" valign="top">Turbidity<break/>Apparent color<break/>True color<break/>Total coliform<break/><italic>E. coli</italic></td>
<td align="left" valign="top">True color</td>
<td align="left" valign="top">Turbidity<break/>True color</td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Medium efficient for:</bold> (21&#x2013;50% turbidity and color; 51&#x2013;99% microbiological)</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">Apparent color</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">Turbidity<break/>Apparent color<break/>Total coliform<break/><italic>E. coli</italic></td>
<td align="left" valign="top">Apparent color<break/>Total coliform<break/><italic>E. coli</italic></td>
<td align="left" valign="top">&#x2013;</td>
</tr>
<tr>
<td align="left" valign="top"><bold>Very efficient for:</bold> (50&#x2013;100% turbidity and color; 99&#x2013;100% microbiological)</td>
<td align="left" valign="top">True color</td>
<td align="left" valign="top">True color<break/>Total coliform<break/><italic>E. coli</italic></td>
<td align="left" valign="top">True color<break/>Total coliform<break/><italic>E. coli</italic></td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">Turbidity<break/>Apparent color<break/>True color<break/>Total coliform <italic>E. coli</italic></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>C, cloth filtration; Cl, chlorination; S, sedimentation; F, flocculation.</p>
</table-wrap-foot>
</table-wrap>
<p>The combined sedimentation and cloth filtration method (S&#x2009;+&#x2009;C) of river water had a median removal of 12% of the initial turbidity, with a minimum value of 33 NTU for treated water (<xref ref-type="table" rid="tab1">Table 1</xref>). Comparison between the S and S&#x2009;+&#x2009;C methods indicates that straining river water after sedimentation had no relevant effect on water quality; in fact, it increased turbidity concentration (from 36 to 39 NTU). Also, an increase in microorganisms was observed after sedimentation processes.</p>
<p>Chlorination of rainwater (Cl) was efficient in changing the water quality (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) by inactivating <italic>E. coli</italic>, with a median of 3.46&#x2009;log&#x2009;CFU/100&#x2009;mL in untreated water and 0&#x2009;log&#x2009;CFU/100&#x2009;mL in chlorinated water. Eighty-nine percent of the chlorinated rainwater samples obtained No Risk and Low Health Risk levels (<xref ref-type="fig" rid="fig3">Figure 3</xref>). The median dose of Cl applied to river water was 1.2&#x2009;mg/L. Chlorine was effective for rainwater disinfection (median 100%) but not for river water (median 94%).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>The concentration of <italic>E. coli</italic> in rainwater collected in the study area, grouped by <xref ref-type="bibr" rid="ref40">WHO (2012)</xref> health risk levels.</p>
</caption>
<graphic xlink:href="frwa-06-1392800-g003.tif"/>
</fig>
<p>Regarding health risks for local water consumption (<xref ref-type="fig" rid="fig3">Figure 3</xref>), rainwater samples treated with chlorine were classified as No Risk, Low Risk, and Medium Risk. In contrast, the other samples were distributed in the highest risk levels. Importantly, C&#x2009;+&#x2009;Cl treated rainwater samples also significantly reduced <italic>E. coli</italic> (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05).</p>
<p>The application of sodium hypochlorite to decanted river water (S&#x2009;+&#x2009;Cl) reduced total coliforms by 95% (<xref ref-type="table" rid="tab1">Table 1</xref>) and did not result in disinfection, with 11% of the samples having &#x003C;100&#x2009;CFU/100&#x2009;mL and 5.5% having &#x003C;1&#x2009;CFU/100&#x2009;mL (<xref ref-type="fig" rid="fig4">Figure 4</xref>). The addition of the cloth filtration step (S&#x2009;+&#x2009;C&#x2009;+&#x2009;Cl) did not change the turbidity, color, or coliforms (<xref ref-type="table" rid="tab1">Table 1</xref>) compared to its absence (S&#x2009;+&#x2009;Cl).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Concentration of <italic>E. coli</italic> in river water samples collected in the study area, grouped by <xref ref-type="bibr" rid="ref40">WHO (2012)</xref> health risk levels.</p>
</caption>
<graphic xlink:href="frwa-06-1392800-g004.tif"/>
</fig>
<p>The Water Purifier&#x00AE; (F&#x2009;+&#x2009;Cl)&#x2014;used as a comparative reference in this study&#x2014;was the most effective water treatment technique. It removed 99% of turbidity (0.3 NTU in treated water), 94% of true color, and 2.39&#x2009;log&#x2009;CFU/100&#x2009;mL of <italic>E. coli</italic> (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<p>Despite the predominant preference for rainwater for drinking purposes (<xref ref-type="table" rid="tab3">Table 3</xref>), with only one resident in a study household using a mixture of river and rainwater, the quality of this drinking water was unproper. Drinking water (<italic>n</italic>&#x2009;=&#x2009;15) showed a level of contamination similar to that of untreated rainwater (2.9 and 3.5&#x2009;log <italic>E. coli</italic>/100&#x2009;mL). Notably, all samples, including samples treated with chlorine, showed some level of contamination by <italic>E. coli</italic> (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Drinking water characteristics (<italic>n</italic>&#x2009;=&#x2009;15).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Feature</th>
<th align="left" valign="top">Values</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Drinking water origin</td>
<td align="left" valign="middle">94% rain (<italic>n</italic> =&#x2009;14)<break/>6% mixture of river and rain water (<italic>n</italic> =&#x2009;1)&#x002A;</td>
</tr>
<tr>
<td align="left" valign="middle">Chlorine use in drinking water&#x002A;&#x002A;</td>
<td align="left" valign="middle">82% did not use chlorine (<italic>n</italic> =&#x2009;9)<break/>18% used chlorine (<italic>n</italic> =&#x2009;2)</td>
</tr>
<tr>
<td align="left" valign="middle">Chlorine dose added&#x002A;&#x002A;</td>
<td align="left" valign="middle">0.3&#x2013;1.0&#x2009;drops/L (<italic>n</italic> =&#x2009;2)<break/>(0.3&#x2013;1.2&#x2009;mg/L Cl)</td>
</tr>
<tr>
<td align="left" valign="middle">Presence of free residual chlorine</td>
<td align="left" valign="middle">92% without residual chlorine (<italic>n</italic> =&#x2009;11)<break/>8% with residual chlorine (<italic>n</italic> =&#x2009;1)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x002A;Mixture of rain and river waters in the sample whose turbidity was 6.5 NTU. &#x002A;&#x002A;According to information from the resident.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec9">
<label>4</label>
<title>Discussion</title>
<p>Fecal contamination of untreated rainwater (median 3.46&#x2009;log&#x2009;CFU/100&#x2009;mL <italic>E. coli</italic>) can occur during water collection and storage. Rainwater can become contaminated when running off roofs and into gutters (or uncovered reservoirs) by animals (bats, rats, possums, vultures) or through atmospheric pollution (<xref ref-type="bibr" rid="ref31">Novaes and Cintra, 2013</xref>; <xref ref-type="bibr" rid="ref1">Ahmed et al., 2014</xref>; <xref ref-type="bibr" rid="ref21">Hamilton et al., 2019</xref>). <italic>E. coli</italic> bacteria deposited on rooftops in animal feces only remain active for 2&#x2009;h on sunny days; however, they survive from 9 to 53&#x2009;h in cloudy conditions (<xref ref-type="bibr" rid="ref1">Ahmed et al., 2014</xref>) and can be carried to household water reserves when it rains. In water reservoirs (tanks), 90% of bacteria will become inactive (<xref ref-type="bibr" rid="ref1">Ahmed et al., 2014</xref>) after 38&#x2013;72&#x2009;h, and recontamination may also occur during this period.</p>
<p>Water straining (C), a common POU, was ineffective and eventually damaging (<xref ref-type="table" rid="tab1">Table 1</xref>) for microbiological water quality. The absence of larger suspended solids in rainwater, such as plankton (<xref ref-type="bibr" rid="ref13">Colwell et al., 2003</xref>) for adhesion of microorganisms (<xref ref-type="bibr" rid="ref2">Ali et al., 2011</xref>) potentially retained in the straining process, may have negatively affected the effectiveness of this method. <xref ref-type="bibr" rid="ref25">Kotlarz et al. (2009)</xref> also reported that straining water with a single layer of fabric showed low effectiveness in reducing the turbidity of slightly turbid water. Enterobacteria are typically 2&#x2013;3&#x2009;&#x03BC;m in length and 0.6&#x2009;&#x03BC;m in thickness (<xref ref-type="bibr" rid="ref16">Rogers et al., 2016</xref>) &#x2013; and are not removed during cloth filtration.</p>
<p>Positive results in straining efficacy could be obtained in the field for surface waters (rivers and lakes), with a 50% removal of turbidity using 16 layers of fabric or four folds (<xref ref-type="bibr" rid="ref2">Ali et al., 2011</xref>). Old fabrics, which have been washed several times, are more effective in treating water due to the reduction in pore size (<xref ref-type="bibr" rid="ref22">Huq et al., 2010</xref>). In this study, since fabric wear does not negatively impact the straining process of river water, the use of a single layer of fabric is likely to explain the results found. Nonetheless, as total coliform and <italic>E. coli</italic> quality indicators could be abundant on surfaces, objects, and fabrics under inadequate hygienic conditions, the water handling potentially altered the results of water straining (<xref ref-type="bibr" rid="ref43">Zimmer and Dorea, 2023</xref>). For example, better fabric hygiene could be achieved by rinsing with chlorinated water or heating.</p>
<p>Natural sedimentation (S), for 16&#x2013;18&#x2009;h (overnight), reduced the apparent color (11%) and turbidity of the river water (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) but had only 16% efficacy and a final value of 36 NTU above the 0.5 NTU portability limit (<xref ref-type="bibr" rid="ref28">Minist&#x00E9;rio da Sa&#x00FA;de, 2021</xref>). Longer settling times could change the results. With controlled values of 10&#x2013;300 NTU for untreated water, sedimentation for 24&#x2009;h had a 79&#x2013;87% efficacy rate in reducing turbidity (<xref ref-type="bibr" rid="ref25">Kotlarz et al., 2009</xref>).</p>
<p>The increased number of microorganisms after the sedimentation processes was also observed in previous studies about water storage for domestic use (<xref ref-type="bibr" rid="ref29">Mintz et al., 1995</xref>; <xref ref-type="bibr" rid="ref42">Yi et al., 2019</xref>). Despite the coverage of storage containers, contact with unhygienic hands and objects can lead to contamination of treated and untreated water. Microorganisms in biofilm covering the surfaces of containers, such as buckets and bottles, can survive for more than 48&#x2009;h. They can also detach, becoming a continuous source of water contamination (<xref ref-type="bibr" rid="ref30">Momba and Kaleni, 2002</xref>). Other microorganisms such as <italic>E. coli</italic>, <italic>Salmonella</italic> sp. and coliphages persist during water storage and display little growth (<xref ref-type="bibr" rid="ref30">Momba and Kaleni, 2002</xref>). <italic>E. coli</italic> is a commensal bacterium that lives in the intestinal tract of humans and vertebrate animals (<xref ref-type="bibr" rid="ref6">Berthe et al., 2013</xref>). Researchers are studying the possibility of the multiplication of these bacteria outside the intestinal tract in the case of phylogenetic groups that contain strains adapted to the conditions of the aquatic environment (<xref ref-type="bibr" rid="ref32">Nowicki et al., 2021</xref>).</p>
<p>Water turbidity provides suitable conditions for bacterial multiplication through the association of nutrients with organic carbon (<xref ref-type="bibr" rid="ref30">Momba and Kaleni, 2002</xref>; <xref ref-type="bibr" rid="ref42">Yi et al., 2019</xref>). It is likely that, after the proliferation of bacteria immediately following water straining (with contaminated cloth), a decay process would begin due to nutrient and oxygen reduction, in addition to changes in temperature, and other factors (<xref ref-type="bibr" rid="ref3">Allwood et al., 2003</xref>; <xref ref-type="bibr" rid="ref8">Blaustein et al., 2013</xref>).</p>
<p>Removing turbidity from water before disinfection influences its efficacy, as it reduces the demand for chlorine by reducing oxidizable components in the water (<xref ref-type="bibr" rid="ref25">Kotlarz et al., 2009</xref>). Removing turbidity through sedimentation processes and other simplified techniques can guarantee the maintenance of residual free chlorine for up to 24&#x2009;h after chlorination (<xref ref-type="bibr" rid="ref25">Kotlarz et al., 2009</xref>). Free chlorine, in turn, prevents recontamination of water during storage (<xref ref-type="bibr" rid="ref41">WHO, 2017</xref>).</p>
<p>Adding sodium hypochlorite did not effectively disinfect river water due to its high turbidity (more than 31 NTU). In decanted river water (S&#x2009;+&#x2009;Cl treatment), chlorination substantially reduced <italic>E. coli</italic> by 95% (<xref ref-type="table" rid="tab1">Table 1</xref>), but only 5.5% of the samples measured &#x003C;1&#x2009;CFU/100&#x2009;mL (<xref ref-type="fig" rid="fig4">Figure 4</xref>). However, the correct chlorination dose for this turbidity level is 3.75&#x2009;mg/L of chlorine (<xref ref-type="bibr" rid="ref26">Lantagne, 2008</xref>), representing 4&#x2009;drops/L addition. The Brazilian Ministry of Health recommends a standard dose of 2&#x2009;drops/L &#x2013; and in practice, smaller doses are used (median 1.2&#x2009;mg/L). Considering that the local population rejects the taste of chlorine, it is likely that residents would disregard the recommendation to use even higher doses of chlorine.</p>
<p>The household treatment of river water with the best result of the risk of water consumption was sedimentation, followed by sodium hypochlorite (S&#x2009;+&#x2009;Cl) (<xref ref-type="fig" rid="fig4">Figure 4</xref>). This technique had the highest percentage of samples (33%) in the No risk to Medium risk classes (<xref ref-type="bibr" rid="ref40">WHO, 2012</xref>).</p>
<p>The Water Purifier (F&#x2009;+&#x2009;Cl) method combines coagulation of sediments and water disinfection by the simultaneous use of ferrous sulfate and calcium hypochlorite (<xref ref-type="bibr" rid="ref37">Souter et al., 2003</xref>), thus having advantages over the simple and natural techniques used in this study. Chemical coagulants and combination products are challenging to purchase compared to sodium hypochlorite, which is distributed free of charge by the Brazilian government. Its relative inaccessibility makes it less sustainable to use in the long term. Studies have reported a 44% reduction in <italic>per capita</italic> consumption of treated water 2&#x2009;months after the delivery of flocculant sachets despite intensive follow-up (<xref ref-type="bibr" rid="ref35">Shaheed et al., 2018</xref>). Using devices like filters results in greater adherence and prolonged use (<xref ref-type="bibr" rid="ref36">Sobsey et al., 2008</xref>). Promoting a technique that depends on the continuous distribution of the product is not a viable medium/long-term solution, being more suitable for emergencies (<xref ref-type="bibr" rid="ref5">Ariel Branz et al., 2017</xref>).</p>
<p>While in the region, 67% of families had reported using chlorine for water treatment (<xref ref-type="bibr" rid="ref20">Gomes et al., 2022</xref>), this study found that only 18% of families reported using chlorine for this purpose; we detected the presence of residual chlorine in a mere 8% of samples. <xref ref-type="bibr" rid="ref10">Brown and Sobsey (2012)</xref> also found a difference between families who stated that they boiled water (&#x003E;90%) and those who boiled it (31%). In rural Peru, only 23% of the families who had reported POU water treatment consistently did so, which may indicate a failure to collect &#x201C;good&#x201D; data (<xref ref-type="bibr" rid="ref34">Rosa et al., 2014</xref>), but also poor adherence to treatment or its inappropriate use.</p>
<p>The sodium hypochlorite distribution program (around 2.5% active chlorine solution) in Brazil is widespread and involves Community Health Agents (CHAs). Considering its wide reach and impact, we recommend further training of CHAs to raise public awareness on the proper use of chlorine. This would enhance the effectiveness of the investment and promote public health by reducing diseases and health consequences like malnutrition and child mortality. Improving and monitoring the quality of drinking water in riverine communities in Amazonia is urgent to promote the well-being of the local population. Additionally, it would improve preparedness for water access during emergencies, such as extreme droughts and heavy rainfall events, which are increasingly common in the Amazon (<xref ref-type="bibr" rid="ref18">Flores et al., 2024</xref>).</p>
</sec>
<sec sec-type="conclusions" id="sec10">
<label>5</label>
<title>Conclusion</title>
<p>The riverine population lives in scarcity of drinking water despite individual efforts to treat water at home. Considering the analyzed parameters, the water available could not be classified as safe for human consumption even after treatment. Therefore, emergency investment in the topic is needed, thus contributing to quality of life and health barriers for unknown emerging pathogens.</p>
<p>Improving the techniques used, particularly the use of hypochlorite and the straining of water (cloth filter), could potentially promote greater water treatment efficacy. Treating rainwater with sodium hypochlorite had the best results despite observing that residents were using doses below the recommended level. This thus represents the most recommended treatment of all those evaluated. No treatment effectively removed turbidity or disinfected river water. Therefore, investments are needed to improve the efficacy of removing solids from water; improvements to filters or coagulants may show promise.</p>
<p>Investing in education and outreach initiatives to teach proper cleaning of utensils and containers used in water treatment and storage is imperative. These measures are recommended to enhance treatment efficacy for local families, along with investments in adequate water supply infrastructure delivering potable water.</p>
</sec>
<sec sec-type="data-availability" id="sec11">
<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="ethics-statement" id="sec12">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Comit&#x00EA; de &#x00C9;tica em Pesquisa Instituto de Desenvolvimento Sustent&#x00E1;vel Mamirau&#x00E1; Plataforma Brasil/CONEP. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec13">
<title>Author contributions</title>
<p>MG: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. LA: Writing &#x2013; review &#x0026; editing. MB: Writing &#x2013; review &#x0026; editing. BL: Writing &#x2013; review &#x0026; editing. CM: Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec14">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by the National Council for Scientific and Technological Development (CNPq/PCI, Process No. 301152/2019-5) and Banco do Brasil Foundation (Project Agreement No. 20415).</p>
</sec>
<ack>
<p>The authors thank the Brazilian Ministry of Science, Technology and Innovation (MCTI), the National Council for Scientific and Technological Development, the Bank of Brasil Foundation, the National Institute of Science and Technology for Sustainable Wastewater Treatment (INCT/ETES Sustent&#x00E1;veis), and the Research Support Foundation of the State of Minas Gerais (FAPEMIG).</p>
</ack>
<sec sec-type="COI-statement" id="sec15">
<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="disclaimer" id="sec16">
<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>
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