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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Environ. Sci.</journal-id>
<journal-title>Frontiers in Environmental Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Environ. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-665X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">788115</article-id>
<article-id pub-id-type="doi">10.3389/fenvs.2021.788115</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Environmental Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Size Distributions of Water-Soluble Inorganic Ions in Atmospheric Aerosols During the Meiyu Period in the Yangtze River Delta, China</article-title>
<alt-title alt-title-type="left-running-head">Wu et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">Atmospheric Aerosols WSIIs Size-Distributions China</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Zhaoye</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1507001/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Duanyang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1501620/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Tianliang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Su</surname>
<given-names>Yan</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Bin</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<label>
<sup>1</sup>
</label>Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<label>
<sup>2</sup>
</label>Key Laboratory of Transportation Meteorology, CMA, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<label>
<sup>3</sup>
</label>Nanjing Joint Institute for Atmospheric Sciences, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<label>
<sup>4</sup>
</label>Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), Nanjing University of Information Science and Technology, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<label>
<sup>5</sup>
</label>Wuxi Meteorological Observatory of Jiangsu Province, <addr-line>Wuxi</addr-line>, <country>China</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/1490861/overview">Lijuan Shen</ext-link>, University of Toronto, Canada</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/1506212/overview">Yi Li</ext-link>, Intel, United&#x20;States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1506323/overview">Chao Liu</ext-link>, China Meteorological Administration, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1506394/overview">Jinhui Gao</ext-link>, Chengdu University of Information Technology, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Duanyang Liu, <email>liuduanyang2001@126.com</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Atmosphere and Climate, a section of the journal Frontiers in Environmental Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>9</volume>
<elocation-id>788115</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>10</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>10</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Wu, Liu, Zhao, Su, and Zhou.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Wu, Liu, Zhao, Su, and Zhou</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&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>In order to investigate the chemical composition distributions and pollution characteristics of Total water-soluble inorganic ions (TWSII) in the rain period (Meiyu) in the East Asian summer monsoon season, including the impact of Meiyu on air pollution in the Yangtze River Delta, East China, the gaseous pollutant concentrations, the 9 sizes segregated particles, and water-soluble inorganic ions of aerosols were measured on the north shore of Taihu Lake from June 4 to July 5, 2016. Results show that the mass concentrations of atmospheric particulate matters (PM<sub>2.5</sub> and PM<sub>10</sub>) and main gaseous pollutants (SO<sub>2</sub>, NO<sub>2</sub>, CO, and O<sub>3</sub>) decrease during the Meiyu period, with the largest decline in PM<sub>10</sub> and the smallest in CO. TWSII in atmospheric particles are mainly concentrated in fine particles during the Meiyu period. The values of &#x3c1; (TWSII) for PM<sub>1.1</sub>, PM<sub>1.1&#x2013;2.1,</sub> and PM<sub>2.1&#x2013;10</sub> before the Meiyu onset are generally greater than those during the Meiyu period. During the first pollution process, the &#x3c1;(TWSII) for PM<sub>1.1</sub> and PM<sub>1.1&#x2013;2.1</sub> first increase to the peak values, and then decrease during the moderate rainfall period, when the &#x3c1;(TWSII) in PM<sub>2.1&#x2013;10</sub> increase to its maximum before the Meiyu onset. The mass concentrations for anions, cations, and total ions at different particle-size sections all exhibit bimodal distributions before and after the Meiyu onset. The mass concentration peaks at a particle size of 1.1&#x2013;2.1&#xa0;&#x3bc;m for fine particles, while at 5.8&#x2013;9.0&#xa0;&#x3bc;m (before the Meiyu onset) and 9.0&#x2013;10.0&#xa0;&#x3bc;m (during the Meiyu period) for coarse particles, respectively. The peak particle size for mass concentration of coarse particles moves toward larger sizes during the Meiyu period. The mass concentrations of SO<sub>4</sub>
<sup>2&#x2212;</sup> at different particle-size sections show a bimodal distribution before the Meiyu onset and a multi-modal distribution during the Meiyu period. The mass concentrations of NO<sub>3</sub>
<sup>&#x2212;</sup> at different particle-size sections show a bimodal distribution before the Meiyu onset and a unimodal distribution during the Meiyu period. The mass concentrations of NH<sub>4</sub>
<sup>&#x2b;</sup> at different particle-size sections present a bimodal distribution before and after the Meiyu onset, with the particle-size for peak concentrations distributing in 1.1&#x2013;2.1 and 5.8&#x2013;9.0&#xa0;&#x3bc;m before the Meiyu onset, and 9.0&#x2013;10.0&#xa0;&#x3bc;m during the Meiyu period. The mean value of nitrogen oxidation ratio (NOR) is higher before the Meiyu onset than after, indicating that the secondary conversion of NO<sub>2</sub> before the Meiyu onset is enhanced. The sulfur oxidation ratio (SOR) values are greater than NOR values, but the concentrations of NO<sub>2</sub> in the same period during the Meiyu period are higher than those of SO<sub>2</sub>, which indicates that the secondary conversion of SO<sub>2</sub> during the Meiyu period on the north bank of Taihu Lake is stronger than that of NO<sub>2</sub>. During the whole observation, the contribution of stationary sources mainly contributed to the atmospheric particulate matters during the Meiyu period. The contributions of vehicle exhaust and coal combustion to fine particles are more obviously affected by the changes in meteorological conditions during the Meiyu period, and the vehicle emissions contribute more to PM<sub>1.1&#x2013;2.1</sub> than to&#x20;PM<sub>1.1</sub>.</p>
</abstract>
<kwd-group>
<kwd>fine particles</kwd>
<kwd>meiyu</kwd>
<kwd>size distribution</kwd>
<kwd>taihu lake</kwd>
<kwd>water-soluble inorganic ions</kwd>
<kwd>the Yangtze River Delta</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Key Research and Development Program of China<named-content content-type="fundref-id">10.13039/501100012166</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>In recent years, the negative impact of particulate matter on air quality, climate, and human health in China has attracted more and more public attention (<xref ref-type="bibr" rid="B10">Huang et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B32">Zhou et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B11">Liu et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B29">Zhang et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B4">Gu et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B5">Gui et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B30">Zhang et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B20">Wang et&#x20;al., 2021</xref>). Atmospheric particulate matter includes primary particulate matter and secondary particulate matter (<xref ref-type="bibr" rid="B2">Dai et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B22">Wang S. et&#x20;al., 2019</xref>). Primary particulate matter is usually produced by direct emissions of pollutant sources, such as soil dust from the ground, roads, and construction sites, biomass burning, and sea salt particles transported from the ocean. The secondary particulate matter is generally formed by the oxidation reaction of SO<sub>2</sub> (sulfur dioxide), NO<sub>X</sub> (nitrogen dioxide), NH<sub>3</sub>(ammonia)<sub>,</sub> and other gases (<xref ref-type="bibr" rid="B27">Yao et&#x20;al., 2020</xref>).</p>
<p>Long-term exposure to fine particulate matter (PM<sub>2.5</sub>) is one of the risk factors for excess deaths in China, with heavy smog significantly increasing the risk of acute death among residents (<xref ref-type="bibr" rid="B21">Wang et&#x20;al., 2015</xref>, <xref ref-type="bibr" rid="B24">2020</xref>). Previous studies have found that WSII accounts for 30&#x2013;80% of urban particulate matter (<xref ref-type="bibr" rid="B16">Shen, et&#x20;al., 2009</xref>; <xref ref-type="bibr" rid="B18">Tan, et&#x20;al., 2009</xref>; <xref ref-type="bibr" rid="B21">Wang et&#x20;al., 2015</xref>). It can be seen that WSII is an important component of particulate matter, and the study of characteristic changes of WSII helps us to have a deeper understanding of the physical and chemical properties, sources, and formation mechanism of particulate matter (<xref ref-type="bibr" rid="B7">Guo et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B23">Wang et&#x20;al., 2019&#x20;b</xref>). Some studies have found that there are significant seasonal differences in WSII concentration (<xref ref-type="bibr" rid="B15">Qiao et&#x20;al., 2015</xref>). <xref ref-type="bibr" rid="B3">Gao, et&#x20;al. (2016)</xref> found that NO<sub>3</sub>
<sup>&#x2212;</sup>, SO<sub>4</sub>
<sup>2-</sup>, and NH<sub>4</sub>
<sup>&#x2b;</sup> (SNA) in WSII were characteristic ions of secondary pollution. The proportion of SNA mass concentration in PM<sub>2.5</sub> ranges from 20 to 70%, and even exceeds 70% (<xref ref-type="bibr" rid="B9">He et&#x20;al., 2017</xref>). <xref ref-type="bibr" rid="B6">Guo et&#x20;al. (2010)</xref> and <xref ref-type="bibr" rid="B28">Zhang et&#x20;al. (2018)</xref> studied that the ion mass concentration spectrum can be used to investigate the formation mechanism of WSII. Some studies have found that the concentration of NO<sub>3</sub>
<sup>&#x2212;</sup> and SO<sub>4</sub>
<sup>2-</sup> in droplet modes increases significantly in the process of pollution, and their peak particle sizes move towards larger particle sizes (<xref ref-type="bibr" rid="B17">Sun et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B19">Tian et&#x20;al., 2016</xref>).</p>
<p>Located on the north bank of Taihu Lake, Wuxi is one of the central cities in the Yangtze River Delta region with a dense population, large industrial volume, and a high level of urbanization. With the rapid development of the regional economy, a large amount of energy consumption and the continuous growth of motor vehicle ownership, the air quality of Wuxi presents complex air pollution dominated by PM<sub>2.5</sub>, PM<sub>10</sub>, O<sub>3,</sub> and NO<sub>2</sub> (<xref ref-type="bibr" rid="B8">Guo et&#x20;al., 2013</xref>). Meiyu in Jianghuai Region is an important weather phenomenon in eastern China, and the meiyu rainy season precipitation is a product of interactions between the East Asian summer monsoon system and the Eurasian mid-high-latitude circulation (<xref ref-type="bibr" rid="B25">Xia et&#x20;al., 2021</xref>). Due to the prevailing wind direction and precipitation in the monsoon climate, the air quality in Wuxi is relatively clean in summer compared with winter. However, in the summer harvest and planting stage in June, the particulate matter emitted from straw burning will lead to haze pollution events in Wuxi (<xref ref-type="bibr" rid="B8">Guo et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B20">Wang et&#x20;al., 2021</xref>).</p>
<p>In this study, we collected size-segregated aerosol samples in Wuxi during an intensive sampling campaign from June to July 2016. The primary motivation of this study is to determine the chemical composition distributions and pollution characteristics of the TWSII species in the nine size segregated particles in the season changing period, including evolution in the components and particle size changes in the pollution process. Furthermore, the correlation of sulfur and nitrogen oxidation rates with the meteorological conditions were investigated to clarify the dominant meteorological factors affecting the secondary formation of sulfate and nitrate in different size fractions. The results would improve our understanding of the secondary formation of haze pollutions in the economically developed area during the Meiyu period and can also provide insight for the investigation of the human health effects of urban particulate matter in different&#x20;sizes.</p>
<p>First, the instruments, experiments, data, and analysis methods are described in <italic>Experiments and Data</italic>. We analyze the meteorological conditions pollutions features, spectral distribution, and ionic species of aerosol in <italic>Results and discussion</italic>. Concluding is made in <italic>Conclusion</italic>.</p>
</sec>
<sec id="s2">
<title>Experiments and Data</title>
<sec id="s2-1">
<title>Observation Stations and Experiment Descriptions</title>
<p>Wuxi is located in the middle of the Yangtze River Delta, on the northern shore of Taihu Lake. In this study, we selected Wuxi meteorological observational station (WMOS, 31.6127&#xb0;N, 120.3544&#xb0;E, altitude: 3.2&#xa0;m) as the sampling site (<xref ref-type="fig" rid="F1">Figure&#x20;1</xref>). All the measurements were conducted on June 4 to July 5, 2016 (<xref ref-type="bibr" rid="B8">Guo et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B12">Liu et&#x20;al., 2018</xref>). The monitoring site is surrounded by farms and is located on the ground. Thus, the observations at this site could help further understand the atmospheric pollution condition in the Yangtze River Delta Cities Group Area (YRDCGA) and the influences from the inland or upwind polluted areas and the Taihu Lake in a regional air quality perspective.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Locations of the observation sites in Jiangsu province, China.</p>
</caption>
<graphic xlink:href="fenvs-09-788115-g001.tif"/>
</fig>
</sec>
<sec id="s2-2">
<title>Water-Soluble Inorganic Ions</title>
<p>The observation of aerosol particles was conducted by using a 9-stage Anderson-type aerosol sampler (Anderson 2000 Inc., United&#x20;States). 31 batches of aerosol samples were gathered across the Meiyu period in Wuxi. The sampling was conducted on the Meteorological observation field. 24&#xa0;h size-fractioned PM samples were taken continuously for 1&#xa0;month (begin at 8:00 am the first day and end at 08:00 the next day) at the flow rate of 28.3&#xa0;L/min. The particle size range of the nine stages are &#x3c;0.43, 0.43&#x2013;0.65, 0.65&#x2013;1.1, 1.1&#x2013;2.1, 2.1&#x2013;3.3, 3.3&#x2013;4.7,4.7&#x2013;5.8, 5.8&#x2013;9.0, and 9.0&#x2013;10.0&#xa0;&#xb5;m for water-soluble ionic components.</p>
<p>The sampling instrument was using the 80&#xa0;mm Teflon filter (Whatman, Clifton, England) for water-soluble inorganic ionic components, and the membranes were weighted by Mettler Toledo MX-5 microbalance after constant temperature (25&#xb0;C) and humidity (50%) treatment for 48&#xa0;h before and after sampling, the microbalance was calibrated using standard weight. The weight difference before and after sampling is particle weight (<xref ref-type="bibr" rid="B21">Wang et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B12">Liu et&#x20;al., 2018</xref>).</p>
<p>The 850 professional Ion Chromatography (IC) (Metrohm, Switzerland) was used to analyze the water-soluble inorganic ions, NO<sub>3</sub>
<sup>&#x2212;</sup>, SO<sub>4</sub>
<sup>2-</sup>, NH<sub>4</sub>
<sup>&#x2b;</sup>, Ca<sup>2&#x2b;</sup>, Mg<sup>2&#x2b;</sup>, Na<sup>&#x2b;</sup>, K<sup>&#x2b;</sup>, Cl<sup>&#x2212;</sup>, F<sup>&#x2212;</sup>, and NO<sub>2</sub>
<sup>&#x2212;</sup> were measured. Chromatography includes a conductivity detector, column oven, with an 858&#x20;auto-injector, and MagIC Net chromatography workstation (Metrohm, Switzerland); Detailed information can be referred to <xref ref-type="bibr" rid="B21">Wang et&#x20;al. (2015)</xref>.</p>
</sec>
<sec id="s2-3">
<title>Meteorological and Pollutant Data</title>
<p>In this study, monitoring instruments (Thermo-Fisher Scientific, United&#x20;States) were selected to analyze gaseous pollutants, including CO (48i), NO<sub>2</sub> (42i), O<sub>3</sub> (49i), and SO<sub>2</sub> (43i), and the particulate matters, including PM<sub>10</sub> and PM<sub>2.5</sub> during the sampling times. The meteorological parameters, including relative humidity (RH), pressure, vapor pressure, precipitation, dew point temperature (Td), temperature (T), visibility, wind direction (WD), and wind speed (WS). All the data were obtained hourly from the Wuxi meteorological observational station (MOS) worked synchronously on the observation&#x20;site.</p>
</sec>
<sec id="s2-4">
<title>Meiyu in 2016</title>
<p>Meiyu (rainy period of East Asian monsoon season) is a weather phenomenon with regional and temporal characteristics in the middle and lower reaches of the Yangtze River in China (<xref ref-type="bibr" rid="B26">Xiang et&#x20;al., 2016</xref>). It is the product of the transition season of east Asian atmospheric circulation from spring to summer. There is always a persistent precipitation stage of Meiyu from June to July every year, which is called Meiyu period for the middle and lower reaches of the Yangtze River. During the Meiyu periods, precipitation shows obvious interannual variabilities (<xref ref-type="bibr" rid="B25">Xia et&#x20;al., 2021</xref>).</p>
<p>Based on the observation of the Meiyu period lasting from June 19, 2016, to July 11 on the north bank of Taihu Lake, the periods from June 4, 2016, to June 18, 2016, and from June 19, 2016, to July 5, 2016, are defined respectively before and after the onset of Meiyu in this study. The total precipitation during the Meiyu period is 404.5&#xa0;mm, which is much greater than that (105.4&#xa0;mm) before the Meiyu&#x20;onset.</p>
</sec>
</sec>
<sec sec-type="results|discussion" id="s3">
<title>Results and Discussion</title>
<sec id="s3-1">
<title>Pollutant Concentrations and Meteorological Conditions During the Meiyu Period</title>
<sec id="s3-1-1">
<title>Meteorological Conditions</title>
<p>The changes of meteorological conditions on the north bank of Taihu Lake during the observation period are shown in <xref ref-type="table" rid="T1">Table&#x20;1</xref> and <xref ref-type="fig" rid="F2">Figure&#x20;2</xref>. The surface pressure, wind speed, and temperature change little around the onset of Meiyu. During the observation period, the average wind speed maintains about 2.0&#xa0;m&#xa0;s<sup>&#x2212;1</sup>, while the air temperature keeps in the range of 19.0&#xb0;C&#x2013;33.0&#xb0;C with an average of 25.2&#xb0;C. The frequency and amount of precipitation increase significantly after the Meiyu onset, with the precipitation increasing from 105.4&#xa0;mm (from June 4 to June 18) to 404.5&#xa0;mm (from June 19 to July 11). The precipitation increase leads to significant increases in surface water-vapor pressure, relative humidity, and dew-point temperature. Specifically, the average surface water-vapor pressure is 25.3&#xa0;hPa before the Meiyu onset, which is significantly lower than that (29.8&#xa0;hPa) during the Meiyu period. The average dew-point temperatures (relative humidity) before and after the onset of Meiyu are 21.2 and 23.9&#xb0;C (82.9 and 90.7%), respectively. Comparatively, the relative humidity after the onset of Meiyu is closer to saturation than before. Moreover, the wind direction changes obviously and frequently during the Meiyu period on the north bank of Taihu&#x20;Lake.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Statistic of meteorological conditions during sampling&#x20;time.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left"/>
<th colspan="3" align="center">Before the meiyu period</th>
<th colspan="3" align="center">During the meiyu period</th>
<th colspan="3" align="center">The observation period</th>
</tr>
<tr>
<th align="center">Min</th>
<th align="center">Max</th>
<th align="center">Mean</th>
<th align="center">Min</th>
<th align="center">Max</th>
<th align="center">Mean</th>
<th align="center">Min</th>
<th align="center">Max</th>
<th align="center">Mean</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">T (&#xb0;C)</td>
<td align="char" char=".">19.9</td>
<td align="char" char=".">32.8</td>
<td align="char" char=".">24.6</td>
<td align="char" char=".">19.5</td>
<td align="char" char=".">33.0</td>
<td align="char" char=".">25.7</td>
<td align="char" char=".">18.7</td>
<td align="char" char=".">33.0</td>
<td align="char" char=".">25.2</td>
</tr>
<tr>
<td align="left">T<sub>d</sub> (&#xb0;C)</td>
<td align="char" char=".">17.0</td>
<td align="char" char=".">24.8</td>
<td align="char" char=".">21.2</td>
<td align="char" char=".">17.5</td>
<td align="char" char=".">28.2</td>
<td align="char" char=".">23.9</td>
<td align="char" char=".">16.4</td>
<td align="char" char=".">28.2</td>
<td align="char" char=".">22.7</td>
</tr>
<tr>
<td align="left">Surface pressure (hPa)</td>
<td align="char" char=".">998.7</td>
<td align="char" char=".">1010.7</td>
<td align="char" char=".">1006.3</td>
<td align="char" char=".">999.4</td>
<td align="char" char=".">1012.4</td>
<td align="char" char=".">1006.3</td>
<td align="char" char=".">998.7</td>
<td align="char" char=".">38.2</td>
<td align="char" char=".">1006.3</td>
</tr>
<tr>
<td align="left">Surface vapor pressure (hPa)</td>
<td align="char" char=".">19.4</td>
<td align="char" char=".">31.4</td>
<td align="char" char=".">25.3</td>
<td align="char" char=".">20.0</td>
<td align="char" char=".">38.2</td>
<td align="char" char=".">29.8</td>
<td align="char" char=".">18.6</td>
<td align="char" char=".">1012.4</td>
<td align="char" char=".">27.7</td>
</tr>
<tr>
<td align="left">RH (%)</td>
<td align="char" char=".">45.0</td>
<td align="char" char=".">100.0</td>
<td align="char" char=".">82.9</td>
<td align="char" char=".">51.0</td>
<td align="char" char=".">100.0</td>
<td align="char" char=".">90.7</td>
<td align="char" char=".">45.0</td>
<td align="char" char=".">100.0</td>
<td align="char" char=".">87.2</td>
</tr>
<tr>
<td align="left">Wind speed (m/s)</td>
<td align="char" char=".">0.2</td>
<td align="char" char=".">6.1</td>
<td align="char" char=".">2.1</td>
<td align="char" char=".">0.0</td>
<td align="char" char=".">6.0</td>
<td align="char" char=".">1.0</td>
<td align="char" char=".">0.0</td>
<td align="char" char=".">6.1</td>
<td align="char" char=".">2.0</td>
</tr>
<tr>
<td align="left">Total precipitation (mm)</td>
<td colspan="3" align="center">105.4</td>
<td colspan="3" align="center">404.5</td>
<td colspan="3" align="center">509.9</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Changes of meteorology, gaseous pollutants records, PM<sub>2.5</sub> and PM<sub>10</sub> concentrations in sampling periods.</p>
</caption>
<graphic xlink:href="fenvs-09-788115-g002.tif"/>
</fig>
</sec>
<sec id="s3-1-2">
<title>Concentration Variations of PM<sub>2.5</sub>, PM<sub>10,</sub> and Gaseous Pollutants</title>
<p>
<xref ref-type="table" rid="T2">Table&#x20;2</xref> shows the daily mean concentrations of PM<sub>2.5</sub>, PM<sub>10,</sub> and main gaseous pollutants before and after the onset of Meiyu. The mass concentrations of five main air pollutants after the onset of Meiyu significantly decrease due to the rainfall influence. Specifically, the mass concentrations of PM<sub>10</sub> and PM<sub>2.5</sub> are 65.36 and 50.20&#xa0;&#x3bc;g&#xa0;m<sup>&#x2212;3</sup> before the onset of Meiyu, which respectively drop to 38.27 and 29.05&#xa0;&#x3bc;g&#xa0;m<sup>&#x2212;3</sup> after the Meiyu onset. For gaseous pollutants, the mass concentrations of SO<sub>2</sub>, NO<sub>2,</sub> and O<sub>3</sub> decrease from 12.10, 51.77, and 77.83&#xa0;&#x3bc;g&#xa0;m<sup>&#x2212;3</sup> to 7.91, 41.51, and 51.89&#xa0;&#x3bc;g&#xa0;m<sup>&#x2212;3</sup>, respectively.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>The daily average concentration of PM<sub>2.5</sub>, PM<sub>10</sub>, and gaseous pollutants before and during the Meiyu period.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left"/>
<th colspan="3" align="center">Before the meiyu period</th>
<th colspan="3" align="center">During the meiyu period</th>
</tr>
<tr>
<th align="center">Min</th>
<th align="center">Max</th>
<th align="center">Mean</th>
<th align="center">Min</th>
<th align="center">Max</th>
<th align="center">Mean</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">PM<sub>2.5</sub> (&#x3bc;g/m<sup>3</sup>)</td>
<td align="char" char=".">23.79</td>
<td align="char" char=".">84.67</td>
<td align="char" char=".">50.20</td>
<td align="char" char=".">12.21</td>
<td align="char" char=".">52.88</td>
<td align="char" char=".">29.05</td>
</tr>
<tr>
<td align="left">PM<sub>10</sub> (&#x3bc;g/m<sup>3</sup>)</td>
<td align="char" char=".">30.13</td>
<td align="char" char=".">111.71</td>
<td align="char" char=".">65.36</td>
<td align="char" char=".">16.17</td>
<td align="char" char=".">81.10</td>
<td align="char" char=".">38.27</td>
</tr>
<tr>
<td align="left">SO<sub>2</sub> (&#x3bc;g/m<sup>3</sup>)</td>
<td align="char" char=".">4.90</td>
<td align="char" char=".">18.46</td>
<td align="char" char=".">12.10</td>
<td align="char" char=".">3.67</td>
<td align="char" char=".">15.71</td>
<td align="char" char=".">7.91</td>
</tr>
<tr>
<td align="left">NO<sub>2</sub> (&#x3bc;g/m<sup>3</sup>)</td>
<td align="char" char=".">37.75</td>
<td align="char" char=".">90.33</td>
<td align="char" char=".">51.77</td>
<td align="char" char=".">20.58</td>
<td align="char" char=".">73.38</td>
<td align="char" char=".">41.51</td>
</tr>
<tr>
<td align="left">O<sub>3</sub> (&#x3bc;g/m<sup>3</sup>)</td>
<td align="char" char=".">12.33</td>
<td align="char" char=".">133.67</td>
<td align="char" char=".">77.83</td>
<td align="char" char=".">15.14</td>
<td align="char" char=".">101.87</td>
<td align="char" char=".">51.89</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Before the Meiyu onset, the north bank of Taihu Lake experienced two pollution processes. The first process lasted from 0800 Beijing Time (BJT) on June 6 to 2000 BJT on June 9, and the second process lasted from 2000 BJT on June 12 to 2000 BJT on June 18. The mass concentrations of PM<sub>2.5</sub> and PM<sub>10</sub> peaked at 112 and 172&#xa0;&#x3bc;g&#xa0;m<sup>&#x2212;3</sup> in the first process, and peaked at 103 and 148&#xa0;&#x3bc;g&#xa0;m<sup>&#x2212;3</sup> during the second process (<xref ref-type="fig" rid="F2">Figures 2D,E</xref>). Although the pollution process during the Meiyu period is not as long as that before the Meiyu onset, the mass concentrations of air pollutants during this period also experienced short fluctuations, where the mass concentrations of PM<sub>2.5</sub> reached 106 and 120&#xa0;&#x3bc;g&#xa0;m<sup>&#x2212;3</sup> at 2000 BJT on June 21 and 2300 BJT on June 23, respectively (<xref ref-type="fig" rid="F2">Figures 2D,E</xref>). According to the hourly precipitation (<xref ref-type="fig" rid="F2">Figure&#x20;2</xref>) in the Meiyu period, these two fluctuations occurred during the intermittent period of precipitation. While the mass concentrations of air pollutants were significantly lower during other periods, which maintained below 30&#xa0;&#x3bc;g&#xa0;m<sup>&#x2212;3</sup> for PM<sub>2.5</sub>. The precipitation increase and changeable wind direction could be the reasons for the decline of air pollutants.</p>
</sec>
</sec>
<sec id="s3-2">
<title>Changes of Water-Soluble Inorganic Ions in Atmospheric Aerosols</title>
<sec id="s3-2-1">
<title>Differences of Water-Soluble Inorganic Ions Before and After the Onset of Meiyu</title>
<p>
<xref ref-type="table" rid="T3">Table&#x20;3</xref> depicts the differences between the concentrations of water-soluble inorganic ions before and after the onset of Meiyu. The average concentration of total water-soluble inorganic ions (&#x3c1;(TWSII)) in PM<sub>10</sub> is (28.59&#x20;&#xb1; 7.27)&#xa0;&#x3bc;g&#xa0;m<sup>&#x2212;3</sup>, while the average &#x3c1;(TWSII) in PM<sub>1.1</sub>, PM<sub>1.1&#x2013;2.1</sub> and PM<sub>2.1&#x2013;10</sub> are (11.22&#x20;&#xb1; 3.90)&#xa0;&#x3bc;g&#xa0;m<sup>&#x2212;3</sup> (5.18&#x20;&#xb1; 2.77)&#xa0;&#x3bc;g&#xa0;m<sup>&#x2212;3</sup> and (12.19&#x20;&#xb1; 2.89)&#xa0;&#x3bc;g&#xa0;m<sup>&#x2212;3</sup>, respectively. Before the onset of Meiyu, the average &#x3c1;(TWSII) in PM<sub>1.1</sub>, PM<sub>1.1&#x2013;2.1</sub> and PM<sub>2.1&#x2013;10</sub> are 13.36&#x20;&#xb1; 4.84, 6.55&#x20;&#xb1; 3.46, and 12.3&#x20;&#xb1; 3.46&#xa0;&#x3bc;g&#xa0;m<sup>&#x2212;3</sup>, and they are 9.34&#x20;&#xb1; 3.72, 3.98&#x20;&#xb1; 2.19, and 12.10&#x20;&#xb1; 5.3&#xa0;&#x3bc;g&#xa0;m<sup>&#x2212;3</sup> after the onset of Meiyu, with the &#x3c1;(TWSII) decreasing by 30, 39 and 2%, respectively. The values of &#x3c1; (TWSII) in fine and coarse particles before the Meiyu onset are higher than those during the Meiyu period.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>The average concentrations (&#x3bc;g/m<sup>3</sup>) of WSII in particulate matters before and during the Meiyu period.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left"/>
<th colspan="3" align="center">Berfore the meiyu period</th>
<th colspan="3" align="center">During the meiyu period</th>
</tr>
<tr>
<th align="center">PM<sub>1.1</sub>
</th>
<th align="center">PM<sub>1.1-2.1</sub>
</th>
<th align="center">PM<sub>2.1-10</sub>
</th>
<th align="center">PM<sub>1.1</sub>
</th>
<th align="center">PM<sub>1.1-2.1</sub>
</th>
<th align="center">PM<sub>2.1-10</sub>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">NH<sub>4</sub>
<sup>&#x2b;</sup>
</td>
<td align="char" char="plusmn">5.74&#x20;&#xb1; 2.64</td>
<td align="char" char="plusmn">3.30&#x20;&#xb1; 2.13</td>
<td align="char" char="plusmn">1.86&#x20;&#xb1; 2.13</td>
<td align="char" char="plusmn">3.16&#x20;&#xb1; 1.79</td>
<td align="char" char="plusmn">1.72&#x20;&#xb1; 1.29</td>
<td align="char" char="plusmn">1.59&#x20;&#xb1; 0.63</td>
</tr>
<tr>
<td align="left">Ca<sup>2&#x2b;</sup>
</td>
<td align="char" char="plusmn">1.79&#x20;&#xb1; 0.37</td>
<td align="char" char="plusmn">0.58&#x20;&#xb1; 0.09</td>
<td align="char" char="plusmn">3.05&#x20;&#xb1; 0.09</td>
<td align="char" char="plusmn">2.03&#x20;&#xb1; 0.49</td>
<td align="char" char="plusmn">0.65&#x20;&#xb1; 0.14</td>
<td align="char" char="plusmn">4.77&#x20;&#xb1; 2.93</td>
</tr>
<tr>
<td align="left">SO<sub>4</sub>
<sup>2-</sup>
</td>
<td align="char" char="plusmn">2.10&#x20;&#xb1; 0.67</td>
<td align="char" char="plusmn">0.99&#x20;&#xb1; 0.50</td>
<td align="char" char="plusmn">2.08&#x20;&#xb1; 0.50</td>
<td align="char" char="plusmn">1.26&#x20;&#xb1; 0.41</td>
<td align="char" char="plusmn">0.46&#x20;&#xb1; 0.21</td>
<td align="char" char="plusmn">1.33&#x20;&#xb1; 0.41</td>
</tr>
<tr>
<td align="left">NO<sub>3</sub>
<sup>&#x2212;</sup>
</td>
<td align="char" char="plusmn">1.56&#x20;&#xb1; 0.67</td>
<td align="char" char="plusmn">0.92&#x20;&#xb1; 0.54</td>
<td align="char" char="plusmn">1.82&#x20;&#xb1; 0.54</td>
<td align="char" char="plusmn">0.93&#x20;&#xb1; 0.53</td>
<td align="char" char="plusmn">0.51&#x20;&#xb1; 0.37</td>
<td align="char" char="plusmn">0.88&#x20;&#xb1; 0.30</td>
</tr>
<tr>
<td align="left">Na<sup>&#x2b;</sup>
</td>
<td align="char" char="plusmn">0.85&#x20;&#xb1; 0.19</td>
<td align="char" char="plusmn">0.30&#x20;&#xb1; 0.09</td>
<td align="char" char="plusmn">1.36&#x20;&#xb1; 0.09</td>
<td align="char" char="plusmn">0.71&#x20;&#xb1; 0.20</td>
<td align="char" char="plusmn">0.22&#x20;&#xb1; 0.08</td>
<td align="char" char="plusmn">1.43&#x20;&#xb1; 0.51</td>
</tr>
<tr>
<td align="left">K<sup>&#x2b;</sup>
</td>
<td align="char" char="plusmn">0.47&#x20;&#xb1; 0.12</td>
<td align="char" char="plusmn">0.15&#x20;&#xb1; 0.03</td>
<td align="char" char="plusmn">0.64&#x20;&#xb1; 0.03</td>
<td align="char" char="plusmn">0.50&#x20;&#xb1; 0.12</td>
<td align="char" char="plusmn">0.16&#x20;&#xb1; 0.03</td>
<td align="char" char="plusmn">0.66&#x20;&#xb1; 0.08</td>
</tr>
<tr>
<td align="left">Mg<sup>2&#x2b;</sup>
</td>
<td align="char" char="plusmn">0.46&#x20;&#xb1; 0.05</td>
<td align="char" char="plusmn">0.15&#x20;&#xb1; 0.02</td>
<td align="char" char="plusmn">0.78&#x20;&#xb1; 0.02</td>
<td align="char" char="plusmn">0.45&#x20;&#xb1; 0.07</td>
<td align="char" char="plusmn">0.14&#x20;&#xb1; 0.02</td>
<td align="char" char="plusmn">0.92&#x20;&#xb1; 0.26</td>
</tr>
<tr>
<td align="left">Cl<sup>&#x2212;</sup>
</td>
<td align="char" char="plusmn">0.23&#x20;&#xb1; 0.10</td>
<td align="char" char="plusmn">0.12&#x20;&#xb1; 0.06</td>
<td align="char" char="plusmn">0.43&#x20;&#xb1; 0.06</td>
<td align="char" char="plusmn">0.17&#x20;&#xb1; 0.09</td>
<td align="char" char="plusmn">0.07&#x20;&#xb1; 0.04</td>
<td align="char" char="plusmn">0.30&#x20;&#xb1; 0.16</td>
</tr>
<tr>
<td align="left">F<sup>&#x2212;</sup>
</td>
<td align="char" char="plusmn">0.11&#x20;&#xb1; 0.02</td>
<td align="char" char="plusmn">0.04&#x20;&#xb1; 0.00</td>
<td align="char" char="plusmn">0.20&#x20;&#xb1; 0.00</td>
<td align="char" char="plusmn">0.11&#x20;&#xb1; 0.01</td>
<td align="char" char="plusmn">0.04&#x20;&#xb1; 0.01</td>
<td align="char" char="plusmn">0.18&#x20;&#xb1; 0.01</td>
</tr>
<tr>
<td align="left">NO<sub>2</sub>
<sup>&#x2212;</sup>
</td>
<td align="char" char="plusmn">0.03&#x20;&#xb1; 0.01</td>
<td align="char" char="plusmn">0.01&#x20;&#xb1; 0.00</td>
<td align="char" char="plusmn">0.08&#x20;&#xb1; 0.00</td>
<td align="char" char="plusmn">0.03&#x20;&#xb1; 0.01</td>
<td align="char" char="plusmn">0.01&#x20;&#xb1; 0.00</td>
<td align="char" char="plusmn">0.04&#x20;&#xb1; 0.01</td>
</tr>
<tr>
<td align="left">TWSII</td>
<td align="char" char="plusmn">13.36&#x20;&#xb1; 4.84</td>
<td align="char" char="plusmn">6.55&#x20;&#xb1; 3.46</td>
<td align="char" char="plusmn">12.30&#x20;&#xb1; 3.46</td>
<td align="char" char="plusmn">9.34&#x20;&#xb1; 3.72</td>
<td align="char" char="plusmn">3.98&#x20;&#xb1; 2.19</td>
<td align="char" char="plusmn">12.10&#x20;&#xb1; 5.30</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>As shown in <xref ref-type="fig" rid="F3">Figure&#x20;3A</xref>, the total proportions of four major water-soluble inorganic ions (NH<sub>4</sub>
<sup>&#x2b;</sup>, Ca<sup>2&#x2b;</sup>, SO<sub>4</sub>
<sup>2&#x2212;</sup> and NO<sub>3</sub>
<sup>&#x2212;</sup>) in PM<sub>1.1</sub> and PM<sub>1.1&#x2013;2.1</sub> are 82 and 87%, respectively. The major water-soluble inorganic ions for PM<sub>2.1&#x2013;10</sub> areCa<sup>2&#x2b;</sup>, NH<sub>4</sub>
<sup>&#x2b;</sup>, SO<sub>4</sub>
<sup>2&#x2212;</sup> and Na<sup>&#x2b;</sup>, accounting for 72% of the total. The anion with the largest proportion in PM<sub>1.1</sub>, PM<sub>1.1&#x2013;2.1,</sub> and PM<sub>2.1&#x2013;10</sub> is SO<sub>4</sub>
<sup>2&#x2212;</sup>. Besides, the cation with the largest proportion in PM<sub>1.1</sub> and PM<sub>1.1&#x2013;2.1</sub> is NH<sub>4</sub>
<sup>&#x2b;</sup>, but it is Ca<sup>2&#x2b;</sup> in PM<sub>2.1&#x2013;10</sub>. It indicates that NH<sub>4</sub>
<sup>&#x2b;</sup> mainly exists in fine particles, while Ca<sup>2&#x2b;</sup> mainly in coarse particles. Furthermore, the concentration of NH<sub>4</sub>
<sup>&#x2b;</sup> decreases with the increase of particle size before and after the onset of Meiyu (<xref ref-type="fig" rid="F3">Figure&#x20;3B</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Mass percentage of <bold>(A)</bold> major ions in the PM<sub>1.1</sub>, PM<sub>1.1-2.1</sub> and PM<sub>2.1-10</sub>, and rations distribution of WSII mass concentration in different size distribution and period (b1: before the Meiyu period, b2: during the Meiyu period).</p>
</caption>
<graphic xlink:href="fenvs-09-788115-g003.tif"/>
</fig>
<p>The concentrations of NH<sub>4</sub>
<sup>&#x2b;</sup>, Ca<sup>2&#x2b;</sup>, SO<sub>4</sub>
<sup>2&#x2212;</sup> and NO<sub>3</sub>
<sup>&#x2212;</sup> rank top four in submicron particles, fine particles, or coarse particles before the Meiyu onset (<xref ref-type="table" rid="T3">Table&#x20;3</xref> and <xref ref-type="fig" rid="F3">Figure&#x20;3</xref>). The average concentrations of ten kinds of ions in PM<sub>1.1</sub> are in decreasing order of NH<sub>4</sub>
<sup>&#x2b;</sup>&#x3e;SO<sub>4</sub>
<sup>2&#x2212;</sup>&#x3e;Ca<sup>2&#x2b;</sup>&#x3e;NO<sub>3</sub>
<sup>&#x2212;</sup>&#x3e;Na<sup>&#x2b;</sup>&#x3e;K<sup>&#x2b;</sup>&#x3e;Mg<sup>2&#x2b;</sup>&#x3e;Cl<sup>&#x2212;</sup>&#x3e;F<sup>&#x2212;</sup>&#x3e;NO<sub>2</sub>
<sup>&#x2212;</sup>, while those in PM<sub>1.1&#x2013;2.1</sub> follow the order of NH<sub>4</sub>
<sup>&#x2b;</sup>&#x3e;SO<sub>4</sub>
<sup>2&#x2212;</sup>&#x3e;NO<sub>3</sub>
<sup>&#x2212;</sup>&#x3e;Ca<sup>2&#x2b;</sup>&#x3e;Na<sup>&#x2b;</sup>&#x3e;K<sup>&#x2b;</sup>&#x3e;Mg<sup>2&#x2b;</sup>&#x3e;Cl<sup>&#x2212;</sup>&#x3e;F<sup>&#x2212;</sup>&#x3e;NO<sub>2</sub>
<sup>&#x2212;</sup>. For PM<sub>2.1&#x2013;10</sub>, the average concentrations are in order of Ca<sup>2&#x2b;</sup>&#x3e;NH<sub>4</sub>
<sup>&#x2b;</sup>&#x3e;SO<sub>4</sub>
<sup>2&#x2212;</sup>&#x3e;Na<sup>&#x2b;</sup>&#x3e;NO<sub>3</sub>
<sup>&#x2212;</sup>&#x3e;Mg<sup>2&#x2b;</sup>&#x3e;K<sup>&#x2b;</sup>&#x3e; Cl<sup>&#x2212;</sup>&#x3e;F<sup>&#x2212;</sup>&#x3e;NO<sub>2</sub>
<sup>&#x2212;</sup>.</p>
<p>The concentrations of NH<sub>4</sub>
<sup>&#x2b;</sup>, Ca<sup>2&#x2b;</sup>, SO<sub>4</sub>
<sup>2&#x2212;</sup>and NO<sub>3</sub>
<sup>&#x2212;</sup> are still the highest four after the Meiyu onset, with slight changes in the concentrations of different ions. The concentration of Ca<sup>2&#x2b;</sup> increases after the Meiyu onset, which is related to the road construction around the observation site (<xref ref-type="bibr" rid="B20">Wang et&#x20;al., 2021</xref>). The&#x20;concentrations of NH<sub>4</sub>
<sup>&#x2b;</sup>, SO<sub>4</sub>
<sup>2&#x2212;</sup> and NO<sub>3</sub>
<sup>&#x2212;</sup> decrease significantly, while the concentrations of Na<sup>&#x2b;</sup>, K<sup>&#x2b;</sup>, Mg<sup>2&#x2b;</sup>, Cl<sup>&#x2212;</sup>,&#x20;F<sup>&#x2212;</sup> and NO<sub>2</sub>
<sup>&#x2212;</sup> change little. During the Meiyu period, the average concentrations of ten kinds of ions follow the order of NH<sub>4</sub>
<sup>&#x2b;</sup>&#x3e;Ca<sup>2&#x2b;</sup>&#x3e;SO<sub>4</sub>
<sup>2&#x2212;</sup>&#x3e;NO<sub>3</sub>
<sup>&#x2212;</sup>&#x3e;Na<sup>&#x2b;</sup>&#x3e;K<sup>&#x2b;</sup>&#x3e;Mg<sup>2&#x2b;</sup>&#x3e;Cl<sup>&#x2212;</sup>&#x3e;F<sup>&#x2212;</sup>&#x3e;NO<sub>2</sub>
<sup>&#x2212;</sup> in PM<sub>1.1</sub>, the order of NH<sub>4</sub>
<sup>&#x2b;</sup>&#x3e;Ca<sup>2&#x2b;</sup>&#x3e;NO<sub>3</sub>
<sup>&#x2212;</sup>&#x3e;SO<sub>4</sub>
<sup>2&#x2212;</sup>&#x3e;Na<sup>&#x2b;</sup>&#x3e;K<sup>&#x2b;</sup>&#x3e;Mg<sup>2&#x2b;</sup>&#x3e;Cl<sup>&#x2212;</sup>&#x3e;F<sup>&#x2212;</sup>&#x3e;NO<sub>2</sub>
<sup>&#x2212;</sup> in PM<sub>1.1&#x2013;2.1</sub>, and the order of Ca<sup>2&#x2b;</sup>&#x3e;NH<sub>4</sub>
<sup>&#x2b;</sup>&#x3e;SO<sub>4</sub>
<sup>2&#x2212;</sup>&#x3e;Na<sup>&#x2b;</sup>&#x3e;NO<sub>3</sub>
<sup>&#x2212;</sup>&#x3e;Mg<sup>2&#x2b;</sup>&#x3e;K<sup>&#x2b;</sup>&#x3e;Cl<sup>&#x2212;</sup>&#x3e;F<sup>&#x2212;</sup>&#x3e;NO<sub>2</sub>
<sup>&#x2212;</sup> in PM<sub>2.1&#x2013;10</sub>.</p>
</sec>
<sec id="s3-2-2">
<title>Compositions of Water-Soluble Inorganic Ions in PM<sub>1.1</sub>, PM<sub>1.1&#x2013;2.1</sub> and PM<sub>2.1&#x2013;10</sub>
</title>
<p>The changes of the mass concentrations of water-soluble inorganic ions in PM<sub>1.1</sub>, PM<sub>1.1&#x2013;2.1,</sub> and PM<sub>2.1&#x2013;10</sub> with time during the Meiyu period on the north bank of Taihu Lake are depicted in <xref ref-type="fig" rid="F4">Figure&#x20;4</xref>. The &#x3c1;(TWSII) in PM<sub>1.1</sub>, PM<sub>1.1&#x2013;2.1,</sub> and PM<sub>2.1&#x2013;10</sub> before the Meiyu onset are generally greater than those during the Meiyu period, but there are some differences in the concentration changes. The &#x3c1;(TWSII) in PM<sub>1.1&#x2013;2.1</sub> changes most obviously before and after the Meiyu onset, followed by PM<sub>1.1</sub>, while the &#x3c1;(TWSII) changes little in PM<sub>2.1&#x2013;10</sub>. This indicates the effect of frequent precipitation during the Meiyu period on the removal of PM<sub>1.1</sub>, PM<sub>1.1&#x2013;2.1,</sub> and PM<sub>2.1&#x2013;10</sub>, especially for PM<sub>1.1&#x2013;2.1</sub>.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Time series of major inorganic ions in <bold>(A)</bold> PM<sub>1.1</sub>, <bold>(B)</bold> PM<sub>1.1-2.1</sub>, <bold>(C)</bold> PM<sub>2.1-10</sub> during the sampling period.</p>
</caption>
<graphic xlink:href="fenvs-09-788115-g004.tif"/>
</fig>
<p>
<xref ref-type="fig" rid="F4">Figure&#x20;4</xref> also shows that the changes of &#x3c1;(TWSII) in PM<sub>1.1</sub>, PM<sub>1.1&#x2013;2.1,</sub> and PM<sub>2.1&#x2013;10</sub> with time are generally consistent, but there are some differences in some periods. During June 18&#x2013;20, 2016, the &#x3c1;(TWSII) in PM<sub>1.1</sub> decreased first and then increased, while the change of &#x3c1;(TWSII) in PM<sub>2.1&#x2013;10</sub> was opposite, and the &#x3c1;(TWSII) in PM<sub>1.1&#x2013;2.1</sub> presented a consistent increase. Besides, the concentrations varied little in fine particles but changes drastically for coarse particles. This changing trend may be related to the compositions and formation mechanisms of water-soluble inorganic ions of different&#x20;sizes.</p>
<p>Corresponding to the pollution processes mentioned in <italic>Concentration variations of PM2.5, PM10, and gaseous pollutants</italic>, the &#x3c1;(TWSII) in PM<sub>1.1</sub> and PM<sub>1.1&#x2013;2.1</sub> increased obviously from June 5 to June 7 before the Meiyu onset, and the &#x3c1;(TWSII) in PM<sub>1.1</sub> and PM<sub>1.1&#x2013;2.1</sub> decreased from June 7 to June 8, while the &#x3c1;(TWSII) in PM<sub>2.1&#x2013;10</sub> increased to a maximum value before the Meiyu onset. From June 14 to June 16, the &#x3c1;(TWSII) in PM<sub>1.1</sub> and PM<sub>1.1&#x2013;2.1</sub> increased to their maximums of 21.34 and 12.05&#xa0;&#x3bc;g&#xa0;m<sup>&#x2212;3</sup> during the observation period, respectively. Meanwhile, the &#x3c1; (TWSII) of PM<sub>2.1&#x2013;10</sub> decreased from June 14 to June 15 and increased from June 15 to June&#x20;16.</p>
<p>During the first process of air pollution (from 0800 BJT on June 6 to 2000 BJT on June 9) before the Meiyu onset, the mass concentrations of NH<sub>4</sub>
<sup>&#x2b;</sup>, SO<sub>4</sub>
<sup>2&#x2212;</sup> and NO<sub>3</sub>
<sup>&#x2212;</sup> in PM<sub>1.1</sub>, PM<sub>1.1&#x2013;2.1</sub> and PM<sub>2.1&#x2013;10</sub> increased, especially the concentrations of NH<sub>4</sub>
<sup>&#x2b;</sup> in PM<sub>1.1</sub> and PM<sub>1.1&#x2013;2.1</sub>. During the second process (from 2000 BJT on June 12 to 2000 BJT on June 18), the concentrations of NH<sub>4</sub>
<sup>&#x2b;</sup>, SO<sub>4</sub>
<sup>2&#x2212;</sup> and NO<sub>3</sub>
<sup>&#x2212;</sup> in PM<sub>1.1</sub> and PM<sub>1.1&#x2013;2.1</sub> increased, while the concentrations of these ions in PM<sub>2.1&#x2013;10</sub> had no change, which is different from those in the first process. What is the reason for this?</p>
<p>Moreover, the two short fluctuations at 2000 BJT on June 21 and 2300 BJT on June 23 are only reflected as the increases in the concentrations of NH<sub>4</sub>
<sup>&#x2b;</sup>, SO<sub>4</sub>
<sup>2&#x2212;</sup> and NO<sub>3</sub>
<sup>&#x2212;</sup> in PM<sub>1.1</sub> and PM<sub>1.1&#x2013;2.1.</sub> The above four fluctuations may be related to the change of SO<sub>2</sub> concentration before and after the Meiyu onset. On the one hand, the increase of SO<sub>4</sub>
<sup>2&#x2212;</sup> concentration in PM<sub>1.1</sub>&#x2013;<sub>2.1</sub> during the Meiyu period is due to the gas-to-particle conversion of smaller particles; on the other hand, the SO<sub>4</sub>
<sup>2&#x2212;</sup> converts to larger-size particles.</p>
</sec>
<sec id="s3-2-3">
<title>Spectrum Distribution of Mass Concentrations of TWSII</title>
<p>The particle-size distribution of water-soluble ions can characterize the source and formation mechanism of ions (<xref ref-type="bibr" rid="B28">Zhang et&#x20;al., 2018</xref>). <xref ref-type="fig" rid="F5">Figure&#x20;5A</xref> indicates that the mass concentration spectrums of total anions, total cations, and total ions within different particle-size sections present bimodal distributions before and after the Meiyu onset. The mass concentrations of fine particles peak at the particle-size of 1.1&#x2013;2.1&#xa0;&#x3bc;m, while the mass concentrations of coarse particles respectively peak at particle-size of 5.8&#x2013;9.0 and 9.0&#x2013;10.0&#xa0;&#x3bc;m before and after the Meiyu onset, indicating that the particle-size corresponding to peak concentrations in coarse particles moves toward the larger particle sizes after the Meiyu onset. The variation characteristics for mass concentrations of anions, cations, and total ions are similar during the observation period, with the ions mainly concentrating in the section of fine particles. The peak concentration of ions in fine particles before the Meiyu onset is higher than that during the Meiyu period. While in coarse particles, the peak concentration of anions before the Meiyu onset is higher. Meanwhile, the peak concentrations of total cations and total ions before the Meiyu onset are lower than those during the Meiyu period.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Spectral distributions of water-soluble inorganic (a1) Aions (a2) caions (a3) ionic (b1) SO<sub>4</sub>
<sup>2-</sup> (b2) NO<sub>3</sub>
<sup>&#x2212;</sup>, and (b3) NH<sub>4</sub>
<sup>&#x2b;</sup> at different periods.</p>
</caption>
<graphic xlink:href="fenvs-09-788115-g005.tif"/>
</fig>
<p>
<xref ref-type="fig" rid="F6">Figure&#x20;6</xref> displays the variations of the particle-size distributions of total anions, total cations, and total ions in water-soluble inorganic ions overtime during the observation. Before June 19, 2016, the total anions, total cations, and total ions in fine particles grew rapidly and reached their peak concentrations. During June 8&#x2013;15 before the Meiyu onset, the concentration of total anions with the particle sizes of 4.5&#x2013; and 0.65&#x2013;1.1&#xa0;&#xb5;m in coarse particles increased more rapidly than those in other particle sizes (<xref ref-type="fig" rid="F6">Figure&#x20;6A</xref>). The particle sizes for the peak of mass concentrations of total ions in coarse particles moved toward larger particle sizes after the Meiyu onset. The period with an increasing concentration for total anions with the particle size of 9&#x2013;10&#xa0;&#xb5;m in coarse particles accounted for 47% of the total Meiyu period, while the concentration of the total anions at the particle size of 5.8&#x2013;9.0&#xa0;&#xb5;m decreased during the same period. Meanwhile, the environmental relative humidity was greater than 90% (<xref ref-type="fig" rid="F2">Figure&#x20;2C</xref>), indicating an obvious effect of the hygroscopic growth of the total anions in coarse particles. As shown in <xref ref-type="fig" rid="F6">Figure&#x20;6B</xref>, the concentrations of total cations and total ions in coarse particles during the Meiyu period were higher than those before the Meiyu onset, with the maximum concentrations of total cations and total ions in coarse particles being 0.81 (0.95) and 3.28&#xa0;&#x3bc;g&#xa0;m<sup>&#x2212;3</sup> (10.56&#xa0;&#x3bc;g&#xa0;m<sup>&#x2212;3</sup>) before (after) the Meiyu onset, respectively. The maximum concentration during the Meiyu period was 3.2&#x20;times that before the Meiyu onset. The main reason for the sharp increase in the peak concentration during the Meiyu period was that the concentrations of the cations at 5.8&#x2013;9.0 and 9.0&#x2013;10.0&#xa0;&#x3bc;m increased sharply on June 19, and the changes of total cation concentrations in coarse particles were roughly the same on both June 18 and June 19, indicating the same source for the total cations on June 18 and 19. <xref ref-type="fig" rid="F2">Figure&#x20;2</xref> shows that the winds on June 18 and 19 were both southerly, and the daily means of temperature, relative humidity, and surface wind speed were 27.6&#xb0;C (28.4&#xb0;C), 75.6% (77.9%), and 3.0&#xa0;m&#xa0;s<sup>&#x2212;1</sup> (2.6&#xa0;m&#xa0;s<sup>&#x2212;1</sup>) on June 18 (June 19), indicating no significant changes in meteorological elements. While the local anthropogenic emissions near the observation site have a more obvious effect on the concentration of total cations than meteorological factors do. During the observation period, the particle size of total ions has a more consistent distribution with that of total cations than total anions. It indicates that the cations in water-soluble inorganic ions in atmospheric particulate matters on the north bank of Taihu Lake played an important role in the chemical composition of ions during the Meiyu period in 2016 (<xref ref-type="bibr" rid="B20">Wang et&#x20;al., 2021</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Daily variations in spectral distribution of water-soluble inorganic (a1, a2) ionic (b1, b2) aions and (c1, c2) caions at different period ((a1, b1, c1) before the Meiyu period and (a2, b2, c2) during the Meiyu period).</p>
</caption>
<graphic xlink:href="fenvs-09-788115-g006.tif"/>
</fig>
<p>The particle-size distribution characteristics of different ions and their sources are further analyzed, with the size distributions of each ion before and after the Meiyu onset shown in <xref ref-type="fig" rid="F7">Figure&#x20;7</xref>, and the time series for different particle-size distributions shown in <xref ref-type="fig" rid="F5">Figure&#x20;5B</xref>. The particle size of SO<sub>4</sub>
<sup>2&#x2212;</sup> shows a bimodal distribution before the Meiyu onset and a multi-modal distribution during the Meiyu period. Before the Meiyu onset, the mass concentration of SO<sub>4</sub>
<sup>2&#x2212;</sup> peaks at a particle size of 1.1&#x2013;2.1&#xa0;&#x3bc;m in fine particles, while at 5.8&#x2013;9.0&#xa0;&#x3bc;m in coarse particles. After the Meiyu onset, the mass concentration of SO<sub>4</sub>
<sup>2&#x2212;</sup> presents a bimodal distribution with its peaks at particle-size of 0.43&#x2013;0.65&#x20;&#x3bc;m and 1.1&#x2013;2.1&#xa0;&#x3bc;m in fine particles, and particle-size of 4.7&#x2013;5.8 and 9.0&#x2013;10.0&#xa0;&#x3bc;m in coarse particles. As indicated in the sequence variation (<xref ref-type="fig" rid="F7">Figure&#x20;7</xref>), before the Meiyu onset, the mass concentration of SO<sub>4</sub>
<sup>2&#x2212;</sup> in fine particles peaks at particle-size of 0.43&#x2013;2.1&#xa0;&#x3bc;m and the proportions for the frequencies in three different particle-size sections are 36, 21, and 43%, respectively. During the Meiyu period, the mass concentration of SO<sub>4</sub>
<sup>2&#x2212;</sup> in fine particles peaks at particle-size of 0&#x2013;2.1&#xa0;&#x3bc;m, and the proportions for the frequencies in different particle sizes are 19, 25, 6, and 40%, respectively. It indicates that SO<sub>4</sub>
<sup>2&#x2212;</sup> in fine particles is mainly generated by the reactions in the cloud and the gas-phase reaction. While the two reactions during the Meiyu period are weaker than those before the Meiyu onset. The particle size for the peak concentration of SO<sub>4</sub>
<sup>2&#x2212;</sup> in coarse particles moves toward larger particle sizes during the Meiyu period. This may be related to higher environmental humidity during the Meiyu period, resulting in the hygroscopic growth of sulfates in coarse particles.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Daily variations in spectral distribution of water-soluble inorganic (a1, a2) NO<sub>3</sub>
<sup>&#x2212;</sup> (b1, b2) SO<sub>4</sub>
<sup>2&#x2212;</sup>and (c1, c2) NH<sub>4</sub>
<sup>&#x2b;</sup> at different period.</p>
</caption>
<graphic xlink:href="fenvs-09-788115-g007.tif"/>
</fig>
<p>The mass concentration of NO<sub>3</sub>
<sup>&#x2212;</sup> at different particle-size sections shows a bimodal distribution before the Meiyu onset, and a unimodal distribution after the Meiyu onset. The mass concentration of NO<sub>3</sub>
<sup>&#x2212;</sup> in fine particles peaks at particle-size of 1.1&#x2013;2.1&#xa0;&#x3bc;m, while at 5.8&#x2013;9.0&#xa0;&#x3bc;m in coarse particles. <xref ref-type="fig" rid="F5">Figure&#x20;5B</xref> shows that before the Meiyu onset, the mass concentration of NO<sub>3</sub>
<sup>&#x2212;</sup> in fine particles peaks at particle-size of 0.43&#x2013;2.1&#xa0;&#x3bc;m, with the proportions of frequencies for particle-size in four particle-size sections accounting for 13, 25, 6, and 56%, respectively. The effect of gas-phase conversion (liquid-phase reaction) during Meiyu is stronger (weaker) than that before Meiyu. Before the Meiyu onset, the mass concentration of NO<sub>3</sub>
<sup>&#x2212;</sup> in coarse particles peaks at particle-size of 2.1&#x2013;3.3 and 5.8&#x2013;10.0&#xa0;&#x3bc;m, and the proportions of frequencies for particle-size within the three particle-size sections account for 36, 57, and 7%, respectively. The peak particle-size of NO<sub>3</sub>
<sup>&#x2212;</sup> distributes in all five particle-size sections of 2.1&#x2013;10&#xa0;&#x3bc;m after the Meiyu onset, with the proportions of frequencies accounting for 50, 6, 6, 13, and 25%, respectively. It can be concluded that the sources of NO<sub>3</sub>
<sup>&#x2212;</sup> in coarse particles after the Meiyu onset are more complex than before. The proportion for NO<sub>3</sub>
<sup>&#x2212;</sup> having particle-size within 5.8&#x2013;9.0&#xa0;&#x3bc;m decreases significantly, which may be attributed to the removal effect of increasing rainfall during the Meiyu period. The concentration of NH<sub>4</sub>
<sup>&#x2b;</sup> at different particle-size sections presents a bimodal distribution before and unimodal distribution during the Meiyu, with the particle-size of peak concentration distributing in 1.1&#x2013;2.1 and 5.8&#x2013;9.0&#xa0;&#x3bc;m (before the Meiyu), and 9.0&#x2013;10.0&#xa0;&#x3bc;m (during the Meiyu). NH<sub>4</sub>
<sup>&#x2b;</sup> is mainly found in fine particles, with the mass fraction accounting for 79.2% (<xref ref-type="fig" rid="F5">Figure&#x20;5B</xref>).</p>
</sec>
</sec>
<sec id="s3-3">
<title>Changes of Secondary Aerosols</title>
<p>The sulfur oxidation ratio (SOR) and nitrogen oxidation ratio (NOR) are often used to characterize the conversion degree of&#x20;SO<sub>2</sub> and NO<sub>2</sub> to SO<sub>4</sub>
<sup>2&#x2212;</sup> and NO<sub>3</sub>
<sup>&#x2212;</sup>, respectively (SOR &#x3d; [SO<sub>4</sub>
<sup>2-</sup>]/([ SO<sub>4</sub>
<sup>2-</sup>]&#x2b;[SO<sub>2</sub>]),NOR &#x3d; [NO<sub>3</sub>
<sup>&#x2212;</sup>]/([ NO<sub>3</sub>
<sup>&#x2212;</sup>]&#x2b;[NO<sub>2</sub>]), where the [SO<sub>4</sub>
<sup>2-</sup>], [SO<sub>2</sub>], [NO<sub>3</sub>
<sup>&#x2212;</sup>], and [NO<sub>2</sub>] are the molar concentrations (&#x3bc;mol&#xa0;m<sup>&#x2212;3</sup>) in the particulate matters and gas phase.) (<xref ref-type="bibr" rid="B7">Guo et&#x20;al., 2020</xref>). Higher SOR or NOR values indicate that more secondary aerosol particulates are converted from SO<sub>2</sub> and NO<sub>2</sub> (<xref ref-type="bibr" rid="B13">Liu et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B22">Wang et&#x20;al., 2019a</xref>,<xref ref-type="bibr" rid="B23">b</xref>). It has been found that when the SOR and NOR values are greater than 0.1, the photochemical reaction occurs in the atmosphere (<xref ref-type="bibr" rid="B14">Ohta and Okita 1990</xref>). <xref ref-type="fig" rid="F8">Figure&#x20;8</xref> shows the time series for the NOR, SOR, and concentrations of SO<sub>2</sub>, NO<sub>2</sub>, SO<sub>4</sub>
<sup>2&#x2212;</sup> and NO<sub>3</sub>
<sup>&#x2212;</sup> during the Meiyu period on the north bank of Taihu Lake. It can be found that the NOR values during the observation are below 0.1, and the average NOR value before the Meiyu onset is higher, indicating that the secondary conversion of NO<sub>2</sub> before the Meiyu onset is greater than&#x20;after.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Time series of <bold>(A)</bold> size distribution of NO<sub>3</sub>
<sup>&#x2212;</sup>, NO<sub>2</sub> concentration and NOR, and <bold>(B)</bold> size distribution of SO<sub>4</sub>
<sup>2-</sup>, SO<sub>2</sub> concentration and SOR during the sampling period.</p>
</caption>
<graphic xlink:href="fenvs-09-788115-g008.tif"/>
</fig>
<p>
<xref ref-type="table" rid="T4">Table&#x20;4</xref> shows the correlation coefficients of the SOR and NOR with O<sub>3</sub>, temperature, relative humidity, and daily precipitation in different particle-size sections. It can be seen that the NOR in PM<sub>1.1</sub> is positively correlated with the O<sub>3</sub> concentration (R<sub>2</sub> &#x3d; 0.58) and negatively correlated with the daily precipitation (R<sub>2</sub> &#x3d; &#x2212;0.49), indicating that the O<sub>3</sub> concentration has a more obvious impact on the NOR in PM<sub>1.1</sub>. The NOR in PM<sub>1.1&#x2013;2.1</sub> is negatively correlated with the temperature, where high-temperature results in disassociation of and volatilization of NH<sub>4</sub>NO<sub>3</sub> to form gaseous HNO<sub>3</sub> (<xref ref-type="bibr" rid="B31">Zhao et&#x20;al., 2018</xref>). As the average temperature during the Meiyu period is higher than that before the Meiyu onset, the NOR decreases during the Meiyu period.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Correlation coefficient of NOR and SOR between O<sub>3</sub> concentrations, Temperature, Relative humidity and Precipitation in particulate matters.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left"/>
<th align="center">O<sub>3</sub>
</th>
<th align="center">T</th>
<th align="center">RH</th>
<th align="center">Precipitation</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">
<inline-formula id="inf1">
<mml:math id="m1">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>SOR</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>PM</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mrow>
<mml:mtext>.</mml:mtext>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td align="char" char=".">0.12</td>
<td align="char" char=".">&#x2212;0.13</td>
<td align="char" char=".">0.01</td>
<td align="char" char=".">&#x2212;0.11</td>
</tr>
<tr>
<td align="left">
<inline-formula id="inf2">
<mml:math id="m2">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>SOR</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>PM</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mrow>
<mml:mtext>.</mml:mtext>
<mml:mn>1</mml:mn>
<mml:mo>-</mml:mo>
<mml:mn>2</mml:mn>
</mml:mrow>
<mml:mrow>
<mml:mtext>.</mml:mtext>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td align="char" char=".">&#x2212;0.07</td>
<td align="char" char=".">&#x2212;0.51<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="char" char=".">0.33</td>
<td align="char" char=".">0.07</td>
</tr>
<tr>
<td align="left">
<inline-formula id="inf3">
<mml:math id="m3">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>SOR</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>PM</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mn>2</mml:mn>
<mml:mrow>
<mml:mtext>.</mml:mtext>
<mml:mn>1</mml:mn>
<mml:mo>-</mml:mo>
<mml:mn>10</mml:mn>
</mml:mrow>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td align="char" char=".">&#x2212;0.19</td>
<td align="char" char=".">&#x2212;0.28</td>
<td align="char" char=".">0.35</td>
<td align="char" char=".">0.28</td>
</tr>
<tr>
<td align="left">
<inline-formula id="inf4">
<mml:math id="m4">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>NOR</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>PM</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mrow>
<mml:mtext>.</mml:mtext>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td align="char" char=".">0.58<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="char" char=".">&#x2212;0.11</td>
<td align="char" char=".">&#x2212;0.33</td>
<td align="char" char=".">&#x2212;0.49<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">
<inline-formula id="inf5">
<mml:math id="m5">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>NOR</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>PM</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mrow>
<mml:mtext>.</mml:mtext>
<mml:mn>1</mml:mn>
<mml:mo>-</mml:mo>
<mml:mn>2</mml:mn>
</mml:mrow>
<mml:mrow>
<mml:mtext>.</mml:mtext>
<mml:mn>1</mml:mn>
</mml:mrow>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td align="char" char=".">0.34</td>
<td align="char" char=".">&#x2212;0.44<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
<td align="char" char=".">0.05</td>
<td align="char" char=".">&#x2212;0.13</td>
</tr>
<tr>
<td align="left">
<inline-formula id="inf6">
<mml:math id="m6">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>NOR</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>PM</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mn>2</mml:mn>
<mml:mrow>
<mml:mtext>.</mml:mtext>
<mml:mn>1</mml:mn>
<mml:mo>-</mml:mo>
<mml:mn>10</mml:mn>
</mml:mrow>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td align="char" char=".">0.15</td>
<td align="char" char=".">&#x2212;0.14</td>
<td align="char" char=".">&#x2212;0.10</td>
<td align="char" char=".">&#x2212;0.25</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>a</label>
<p>Correlation is significant at the 0.01&#x20;level.</p>
</fn>
<fn id="Tfn2">
<label>b</label>
<p>Correlation is significant at the 0.05&#x20;level.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>During the Meiyu period, the SOR values in PM<sub>2.1&#x2013;10</sub> are all above 0.1, the SOR values in PM<sub>1.1</sub> are generally above 0.1 in most periods, while the SOR values in PM<sub>1.1&#x2013;2.1</sub> are the smallest among the three particle-size sections. For PM<sub>1.1</sub>, PM<sub>1.1&#x2013;2.1</sub> and PM<sub>2.1&#x2013;10</sub>, the SOR values are greater than the NOR values, but the concentration of NO<sub>2</sub> in the same period during the Meiyu period is higher than that of SO<sub>2</sub>, indicating that the secondary conversion of SO<sub>2</sub> during the Meiyu period on the north bank of Taihu Lake is stronger than that of&#x20;NO<sub>2</sub>.</p>
<p>The mass ratio of NO<sub>3</sub>
<sup>&#x2212;</sup>/SO<sub>4</sub>
<sup>2&#x2212;</sup> can be used to qualitatively analyze the relative importance of mobile sources (vehicle exhaust) and stationary sources (coal combustion) to particle matters of sulfur and nitrogen in the atmosphere. A higher ratio indicates the predominance of mobile sources over stationary sources of pollutants (<xref ref-type="bibr" rid="B1">Chang et&#x20;al., 2015</xref>). <xref ref-type="fig" rid="F9">Figure&#x20;9</xref> shows that the mass ratios of NO<sub>3</sub>
<sup>&#x2212;</sup>/SO<sub>4</sub>
<sup>2&#x2212;</sup> in PM<sub>1.1</sub>, PM<sub>1.1&#x2013;2.1</sub> and PM<sub>2.1&#x2013;10</sub> before the Meiyu onset range in 0.13&#x2013;0.38 (the mean ratio is 0.29), 0.22&#x2013;0.55 (the mean ratio is 0.36) and 0.21&#x2013;0.67 (the mean ratio is 0.36), respectively. While during the Meiyu period, the mass ratios of NO<sub>3</sub>
<sup>&#x2212;</sup>/SO<sub>4</sub>
<sup>2&#x2212;</sup> in PM<sub>1.1</sub>, PM<sub>1.1&#x2013;2.1</sub> and PM<sub>2.1&#x2013;10</sub> range in 0.12&#x2013;0.58 (the mean ratio is 0.29), 0.05&#x2013;0.78 (the mean ratio is 0.43) and 0.17&#x2013;0.31 (the mean ratio is 0.26), respectively. The mass ratios of NO<sub>3</sub>
<sup>&#x2212;</sup>/SO<sub>4</sub>
<sup>2&#x2212;</sup> during the whole observation period are less than 0.80, indicating that compared with mobile sources, the stationary sources contribute more to the relative contribution of atmospheric particulate matter on the north bank of Taihu&#x20;Lake.</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Time series of NO<sub>3</sub>
<sup>&#x2212;</sup>/SO<sub>4</sub>
<sup>2-</sup> in PM<sub>1.1</sub>, PM<sub>1.1-2.1</sub>, PM<sub>2.1-10</sub> during the sampling&#x20;time.</p>
</caption>
<graphic xlink:href="fenvs-09-788115-g009.tif"/>
</fig>
<p>The variation ranges for the mass ratio of NO<sub>3</sub>
<sup>&#x2212;</sup>/SO<sub>4</sub>
<sup>2&#x2212;</sup> before the Meiyu onset are smaller than those during the Meiyu period in PM<sub>1.1</sub> and PM<sub>1.1&#x2013;2.1</sub>, while the situation is quite the reverse in PM<sub>2.1&#x2013;10</sub>. It indicates that the contributions of vehicle exhaust and coal combustion to fine particles are more obviously affected by the changes in meteorological conditions during the Meiyu period. <xref ref-type="fig" rid="F9">Figure&#x20;9</xref> reveals that the mean ratio of NO<sub>3</sub>
<sup>&#x2212;</sup>/SO<sub>4</sub>
<sup>2&#x2212;</sup> in PM<sub>1.1</sub>&#x2013;<sub>2.1</sub> before Meiyu onset is smaller than that during the Meiyu period, and it is higher than that in PM<sub>1.1</sub>, indicating that the vehicle emissions contribute more to PM<sub>1.1&#x2013;2.1</sub> than to PM<sub>1.1</sub>. Moreover, the contribution of vehicle exhaust increases during the Meiyu period, which is the same as the result from a case study in Wuxi in 2014 (<xref ref-type="bibr" rid="B12">Liu et&#x20;al., 2018</xref>).</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s4">
<title>Conclusion</title>
<p>In order to investigate the chemical composition distributions and the impact of Meiyu on air pollution in the Yangtze River Delta, East China, the gaseous pollutant concentrations, the nine sizes segregated particles, and water-soluble inorganic ions of aerosols were measured on the north shore of Taihu Lake from June 4 to July 5, 2016. This observational study is concluded as follows:</p>
<p>The mass concentrations of atmospheric particulate matters (PM<sub>2.5</sub> and PM<sub>10</sub>) and main gaseous pollutants (SO<sub>2</sub>, NO<sub>2</sub>, CO, and O<sub>3</sub>) decrease during the Meiyu period, with the largest decline in PM<sub>10</sub> and the smallest in CO, which could be regulated by meteorological changes before and after Meiyu onset. Water-soluble inorganic ions in atmospheric particles are mainly concentrated in fine particles during the Meiyu period on the north bank of Taihu Lake. The values of &#x3c1;(TWSII) for PM<sub>1.1</sub>, PM<sub>1.1&#x2013;2.1,</sub> and PM<sub>2.1&#x2013;10</sub> before the Meiyu onset are generally greater than those during the Meiyu period. During the first pollution process, the &#x3c1;(TWSII) for PM<sub>1.1</sub> and PM<sub>1.1&#x2013;2.1</sub> first increase to the peak values, and then decrease during the moderate rainfall period, when the &#x3c1;(TWSII) in PM<sub>2.1&#x2013;10</sub> increase to its maximum before the Meiyu&#x20;onset.</p>
<p>The mass concentrations for anions, cations, and total ions at different particle-size sections all exhibit bimodal distributions before and after the Meiyu onset. The mass concentration peaks at a particle size of 1.1&#x2013;2.1&#xa0;&#x3bc;m for fine particles, while at 5.8&#x2013;9.0&#xa0;&#x3bc;m (before the Meiyu onset) and 9.0&#x2013;10.0&#xa0;&#x3bc;m (during the Meiyu period) for coarse particles, respectively. The peak particle size for mass concentration of coarse particles moves toward larger particle sizes during the Meiyu period. The mass concentrations of SO<sub>4</sub>
<sup>2&#x2212;</sup> at different particle-size sections show a bimodal distribution before the Meiyu onset and a multi-modal distribution during the Meiyu period. The mass concentrations of NO<sub>3</sub>
<sup>&#x2212;</sup> at different particle-size sections show a bimodal distribution before the Meiyu onset and a unimodal distribution during the Meiyu period. The mass concentrations of NH<sub>4</sub>
<sup>&#x2b;</sup> at different particle-size sections present a bimodal distribution before and after the Meiyu onset, with the particle-size for peak concentrations distributing in 1.1&#x2013;2.1 and 5.8&#x2013;9.0&#xa0;&#x3bc;m before the Meiyu onset, and 9.0&#x2013;10.0&#xa0;&#x3bc;m during the Meiyu period.</p>
<p>The mean value of NOR is higher before the Meiyu onset than after, indicating that the secondary conversion of NO<sub>2</sub> before the Meiyu onset is greater. The SOR values are greater than NOR values, but the concentrations of NO<sub>2</sub> in the same period during the Meiyu period are higher than those of SO<sub>2</sub>, which indicates that the secondary conversion of SO<sub>2</sub> during the Meiyu period on the north bank of Taihu Lake is stronger than that of NO<sub>2</sub>. During the whole observation, the relative contribution of stationary sources to atmospheric particulate matter on the north bank of Taihu Lake is more than the relative contribution of mobile sources. The contributions of vehicle exhaust and coal combustion to fine particles are more obviously affected by the changes in meteorological conditions during the Meiyu period, and the vehicle emissions contribute more to PM<sub>1.1&#x2013;2.1</sub> than to&#x20;PM<sub>1.1</sub>.</p>
<p>As the crop residue burning ban was issued in 2015, the air quality before and after the Meiyu has improved a lot, further studies are needed to determine the effect of meiyu on the removal of air pollutants.</p>
</sec>
</body>
<back>
<sec id="s5">
<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 id="s6">
<title>Author Contributions</title>
<p>Author Contributions: Conceptualization, DL; methodology, TZ; software, ZW and BZ; validation, DL; formal analysis, ZW; investigation, ZW and YS; resources, DL, and YS; data curation, ZW and BZ; writing&#x2014;original draft preparation, DL and ZW; writing&#x2014;review and editing, DL and TZ; visualization, ZW and BZ; supervision, DL and ZW; project administration, DL; funding acquisition,&#x20;DL.</p>
</sec>
<sec id="s7">
<title>Funding</title>
<p>This work was jointly supported by the National Key Research and Development Program of China (No. 2019YFC0214604), the Postgraduate Research and Practice Innovation Program of Jiangsu Province (Grant Nos. KYCX21_0972), the National Natural Science Foundation of China (42075063), Open fund by Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (KHK 2005), and the Jiangsu Meteorological Bureau General project (KZ201902).</p>
</sec>
<sec sec-type="COI-statement" id="s8">
<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="s9">
<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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