Loading…

Composition analysis of PM2.5 at multiple sites in Zhengzhou, China: implications for characterization and source apportionment at different pollution levels

Zhengzhou is one of the most heavily polluted cities in China. This study collected samples of PM 2.5 (atmospheric fine particulate matter with aerodynamic diameter ≤ 2.5 μm) at five sites in different functional areas of Zhengzhou in 2016 to investigate the chemical properties and sources of PM 2.5...

Full description

Saved in:
Bibliographic Details
Published in:Environmental science and pollution research international 2021-11, Vol.28 (42), p.59329-59344
Main Authors: Liu, Xiaohan, Jiang, Nan, Zhang, Ruiqin, Yu, Xue, Li, Shengli, Miao, Qingqing
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c2675-487510feec0c090cc4a3e8398a3a11b9b4837947ddfed0d7f32d0e258d3055753
cites cdi_FETCH-LOGICAL-c2675-487510feec0c090cc4a3e8398a3a11b9b4837947ddfed0d7f32d0e258d3055753
container_end_page 59344
container_issue 42
container_start_page 59329
container_title Environmental science and pollution research international
container_volume 28
creator Liu, Xiaohan
Jiang, Nan
Zhang, Ruiqin
Yu, Xue
Li, Shengli
Miao, Qingqing
description Zhengzhou is one of the most heavily polluted cities in China. This study collected samples of PM 2.5 (atmospheric fine particulate matter with aerodynamic diameter ≤ 2.5 μm) at five sites in different functional areas of Zhengzhou in 2016 to investigate the chemical properties and sources of PM 2.5 at three pollution levels, i.e., PM 2.5 ≤ 75 μg/m 3 (non-pollution, NP), 75 μg/m 3 < PM 2.5 ≤ 150 μg/m 3 (moderate pollution, MP), and PM 2.5 > 150 μg/m 3 (heavy pollution, HP). Chemical analysis was conducted, and source categories and potential source region were identified for PM 2.5 at different pollution levels. The health risks of toxic elements were evaluated. Results showed that the average PM 2.5 concentration in Zhengzhou was 119 μg/m 3 , and the sum of the concentrations of SO 4 2− , NO 3 − , and NH 4 + increased with the aggravation of pollution level (23, 42, and 114 μg/m 3 at NP, MP, and HP days, respectively). Positive Matrix Factorization analysis indicated that secondary aerosols, coal combustion, vehicle traffic, industrial processes, biomass burning, and dust were the main sources of PM 2.5 at three pollution levels, and accounted for 38.4%, 21.6%, 16.7%, 7.4%, 7.7%, and 8.1% on HP days, respectively. Trajectory clustering analysis showed that close-range transport was one of the dominant factors on HP days in Zhengzhou. The potential source areas were mainly located in Xinxiang, Kaifeng, Xuchang, and Pingdingshan. Significant risks existed in the non-carcinogenic risk of As (1.4–2.3) for children at three pollution levels and the non-carcinogenic risk of Pb (1.0–1.4) for children with NP and MP days.
doi_str_mv 10.1007/s11356-020-10943-5
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2584882000</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2584882000</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2675-487510feec0c090cc4a3e8398a3a11b9b4837947ddfed0d7f32d0e258d3055753</originalsourceid><addsrcrecordid>eNp9kcFO3DAQhq2qSN1CX6AnS72S7Ti21wk3tGqhElU5wKUXy-uMWSMnDnaCBO_Sd8VhkXrjNPLom2-s-Qn5ymDNANT3zBiXmwpqqBi0glfyA1mxDROVEm37kaxKU1SMC_GJfM75HgrZ1mpF_m1jP8bsJx8HagYTnrLPNDp6_bteS2om2s9h8mNAWiDM1A_07x6Hu-d9nE_pdu8Hc0Z9PwZvzSLJ1MVE7d4kYydM_tm8qTua45wsUjOOMS3NHodp2dB55zAtjzGGML_yAR8x5BNy5EzI-OWtHpPbnz9utpfV1Z-LX9vzq8rWGyUr0SjJwCFasNCCtcJwbHjbGG4Y27U70XDVCtV1DjvolON1B1jLpuMgpZL8mHw7eMcUH2bMk74vfy3XyLpQomlqAChUfaBsijkndHpMvjfpSTPQSwz6EIMux9WvMehFzQ9DucDDHab_6nemXgA_T42-</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2584882000</pqid></control><display><type>article</type><title>Composition analysis of PM2.5 at multiple sites in Zhengzhou, China: implications for characterization and source apportionment at different pollution levels</title><source>ABI/INFORM Global (ProQuest)</source><source>Springer Nature</source><creator>Liu, Xiaohan ; Jiang, Nan ; Zhang, Ruiqin ; Yu, Xue ; Li, Shengli ; Miao, Qingqing</creator><creatorcontrib>Liu, Xiaohan ; Jiang, Nan ; Zhang, Ruiqin ; Yu, Xue ; Li, Shengli ; Miao, Qingqing</creatorcontrib><description>Zhengzhou is one of the most heavily polluted cities in China. This study collected samples of PM 2.5 (atmospheric fine particulate matter with aerodynamic diameter ≤ 2.5 μm) at five sites in different functional areas of Zhengzhou in 2016 to investigate the chemical properties and sources of PM 2.5 at three pollution levels, i.e., PM 2.5 ≤ 75 μg/m 3 (non-pollution, NP), 75 μg/m 3 &lt; PM 2.5 ≤ 150 μg/m 3 (moderate pollution, MP), and PM 2.5 &gt; 150 μg/m 3 (heavy pollution, HP). Chemical analysis was conducted, and source categories and potential source region were identified for PM 2.5 at different pollution levels. The health risks of toxic elements were evaluated. Results showed that the average PM 2.5 concentration in Zhengzhou was 119 μg/m 3 , and the sum of the concentrations of SO 4 2− , NO 3 − , and NH 4 + increased with the aggravation of pollution level (23, 42, and 114 μg/m 3 at NP, MP, and HP days, respectively). Positive Matrix Factorization analysis indicated that secondary aerosols, coal combustion, vehicle traffic, industrial processes, biomass burning, and dust were the main sources of PM 2.5 at three pollution levels, and accounted for 38.4%, 21.6%, 16.7%, 7.4%, 7.7%, and 8.1% on HP days, respectively. Trajectory clustering analysis showed that close-range transport was one of the dominant factors on HP days in Zhengzhou. The potential source areas were mainly located in Xinxiang, Kaifeng, Xuchang, and Pingdingshan. Significant risks existed in the non-carcinogenic risk of As (1.4–2.3) for children at three pollution levels and the non-carcinogenic risk of Pb (1.0–1.4) for children with NP and MP days.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-020-10943-5</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Biomass burning ; Burning ; Carcinogens ; Chemical analysis ; Chemical properties ; Children ; Cluster analysis ; Clustering ; Combustion ; Earth and Environmental Science ; Ecotoxicology ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental science ; Health risks ; Particulate matter ; Pollution ; Pollution levels ; Recent Developments and Innovative Strategies in Environmental Sciences in Europe ; Trajectory analysis ; Waste Water Technology ; Water Management ; Water Pollution Control</subject><ispartof>Environmental science and pollution research international, 2021-11, Vol.28 (42), p.59329-59344</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2675-487510feec0c090cc4a3e8398a3a11b9b4837947ddfed0d7f32d0e258d3055753</citedby><cites>FETCH-LOGICAL-c2675-487510feec0c090cc4a3e8398a3a11b9b4837947ddfed0d7f32d0e258d3055753</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2584882000/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2584882000?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11686,27922,27923,36058,44361,74665</link.rule.ids></links><search><creatorcontrib>Liu, Xiaohan</creatorcontrib><creatorcontrib>Jiang, Nan</creatorcontrib><creatorcontrib>Zhang, Ruiqin</creatorcontrib><creatorcontrib>Yu, Xue</creatorcontrib><creatorcontrib>Li, Shengli</creatorcontrib><creatorcontrib>Miao, Qingqing</creatorcontrib><title>Composition analysis of PM2.5 at multiple sites in Zhengzhou, China: implications for characterization and source apportionment at different pollution levels</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><description>Zhengzhou is one of the most heavily polluted cities in China. This study collected samples of PM 2.5 (atmospheric fine particulate matter with aerodynamic diameter ≤ 2.5 μm) at five sites in different functional areas of Zhengzhou in 2016 to investigate the chemical properties and sources of PM 2.5 at three pollution levels, i.e., PM 2.5 ≤ 75 μg/m 3 (non-pollution, NP), 75 μg/m 3 &lt; PM 2.5 ≤ 150 μg/m 3 (moderate pollution, MP), and PM 2.5 &gt; 150 μg/m 3 (heavy pollution, HP). Chemical analysis was conducted, and source categories and potential source region were identified for PM 2.5 at different pollution levels. The health risks of toxic elements were evaluated. Results showed that the average PM 2.5 concentration in Zhengzhou was 119 μg/m 3 , and the sum of the concentrations of SO 4 2− , NO 3 − , and NH 4 + increased with the aggravation of pollution level (23, 42, and 114 μg/m 3 at NP, MP, and HP days, respectively). Positive Matrix Factorization analysis indicated that secondary aerosols, coal combustion, vehicle traffic, industrial processes, biomass burning, and dust were the main sources of PM 2.5 at three pollution levels, and accounted for 38.4%, 21.6%, 16.7%, 7.4%, 7.7%, and 8.1% on HP days, respectively. Trajectory clustering analysis showed that close-range transport was one of the dominant factors on HP days in Zhengzhou. The potential source areas were mainly located in Xinxiang, Kaifeng, Xuchang, and Pingdingshan. Significant risks existed in the non-carcinogenic risk of As (1.4–2.3) for children at three pollution levels and the non-carcinogenic risk of Pb (1.0–1.4) for children with NP and MP days.</description><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Biomass burning</subject><subject>Burning</subject><subject>Carcinogens</subject><subject>Chemical analysis</subject><subject>Chemical properties</subject><subject>Children</subject><subject>Cluster analysis</subject><subject>Clustering</subject><subject>Combustion</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental science</subject><subject>Health risks</subject><subject>Particulate matter</subject><subject>Pollution</subject><subject>Pollution levels</subject><subject>Recent Developments and Innovative Strategies in Environmental Sciences in Europe</subject><subject>Trajectory analysis</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><issn>0944-1344</issn><issn>1614-7499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNp9kcFO3DAQhq2qSN1CX6AnS72S7Ti21wk3tGqhElU5wKUXy-uMWSMnDnaCBO_Sd8VhkXrjNPLom2-s-Qn5ymDNANT3zBiXmwpqqBi0glfyA1mxDROVEm37kaxKU1SMC_GJfM75HgrZ1mpF_m1jP8bsJx8HagYTnrLPNDp6_bteS2om2s9h8mNAWiDM1A_07x6Hu-d9nE_pdu8Hc0Z9PwZvzSLJ1MVE7d4kYydM_tm8qTua45wsUjOOMS3NHodp2dB55zAtjzGGML_yAR8x5BNy5EzI-OWtHpPbnz9utpfV1Z-LX9vzq8rWGyUr0SjJwCFasNCCtcJwbHjbGG4Y27U70XDVCtV1DjvolON1B1jLpuMgpZL8mHw7eMcUH2bMk74vfy3XyLpQomlqAChUfaBsijkndHpMvjfpSTPQSwz6EIMux9WvMehFzQ9DucDDHab_6nemXgA_T42-</recordid><startdate>20211101</startdate><enddate>20211101</enddate><creator>Liu, Xiaohan</creator><creator>Jiang, Nan</creator><creator>Zhang, Ruiqin</creator><creator>Yu, Xue</creator><creator>Li, Shengli</creator><creator>Miao, Qingqing</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7SN</scope><scope>7T7</scope><scope>7TV</scope><scope>7U7</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope></search><sort><creationdate>20211101</creationdate><title>Composition analysis of PM2.5 at multiple sites in Zhengzhou, China: implications for characterization and source apportionment at different pollution levels</title><author>Liu, Xiaohan ; Jiang, Nan ; Zhang, Ruiqin ; Yu, Xue ; Li, Shengli ; Miao, Qingqing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2675-487510feec0c090cc4a3e8398a3a11b9b4837947ddfed0d7f32d0e258d3055753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aquatic Pollution</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Biomass burning</topic><topic>Burning</topic><topic>Carcinogens</topic><topic>Chemical analysis</topic><topic>Chemical properties</topic><topic>Children</topic><topic>Cluster analysis</topic><topic>Clustering</topic><topic>Combustion</topic><topic>Earth and Environmental Science</topic><topic>Ecotoxicology</topic><topic>Environment</topic><topic>Environmental Chemistry</topic><topic>Environmental Health</topic><topic>Environmental science</topic><topic>Health risks</topic><topic>Particulate matter</topic><topic>Pollution</topic><topic>Pollution levels</topic><topic>Recent Developments and Innovative Strategies in Environmental Sciences in Europe</topic><topic>Trajectory analysis</topic><topic>Waste Water Technology</topic><topic>Water Management</topic><topic>Water Pollution Control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Xiaohan</creatorcontrib><creatorcontrib>Jiang, Nan</creatorcontrib><creatorcontrib>Zhang, Ruiqin</creatorcontrib><creatorcontrib>Yu, Xue</creatorcontrib><creatorcontrib>Li, Shengli</creatorcontrib><creatorcontrib>Miao, Qingqing</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Pollution Abstracts</collection><collection>Toxicology Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health Medical collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Public Health Database</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Agriculture &amp; Environmental Science Database</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global (ProQuest)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest Science Journals</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Environmental science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Xiaohan</au><au>Jiang, Nan</au><au>Zhang, Ruiqin</au><au>Yu, Xue</au><au>Li, Shengli</au><au>Miao, Qingqing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Composition analysis of PM2.5 at multiple sites in Zhengzhou, China: implications for characterization and source apportionment at different pollution levels</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><date>2021-11-01</date><risdate>2021</risdate><volume>28</volume><issue>42</issue><spage>59329</spage><epage>59344</epage><pages>59329-59344</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>Zhengzhou is one of the most heavily polluted cities in China. This study collected samples of PM 2.5 (atmospheric fine particulate matter with aerodynamic diameter ≤ 2.5 μm) at five sites in different functional areas of Zhengzhou in 2016 to investigate the chemical properties and sources of PM 2.5 at three pollution levels, i.e., PM 2.5 ≤ 75 μg/m 3 (non-pollution, NP), 75 μg/m 3 &lt; PM 2.5 ≤ 150 μg/m 3 (moderate pollution, MP), and PM 2.5 &gt; 150 μg/m 3 (heavy pollution, HP). Chemical analysis was conducted, and source categories and potential source region were identified for PM 2.5 at different pollution levels. The health risks of toxic elements were evaluated. Results showed that the average PM 2.5 concentration in Zhengzhou was 119 μg/m 3 , and the sum of the concentrations of SO 4 2− , NO 3 − , and NH 4 + increased with the aggravation of pollution level (23, 42, and 114 μg/m 3 at NP, MP, and HP days, respectively). Positive Matrix Factorization analysis indicated that secondary aerosols, coal combustion, vehicle traffic, industrial processes, biomass burning, and dust were the main sources of PM 2.5 at three pollution levels, and accounted for 38.4%, 21.6%, 16.7%, 7.4%, 7.7%, and 8.1% on HP days, respectively. Trajectory clustering analysis showed that close-range transport was one of the dominant factors on HP days in Zhengzhou. The potential source areas were mainly located in Xinxiang, Kaifeng, Xuchang, and Pingdingshan. Significant risks existed in the non-carcinogenic risk of As (1.4–2.3) for children at three pollution levels and the non-carcinogenic risk of Pb (1.0–1.4) for children with NP and MP days.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s11356-020-10943-5</doi><tpages>16</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0944-1344
ispartof Environmental science and pollution research international, 2021-11, Vol.28 (42), p.59329-59344
issn 0944-1344
1614-7499
language eng
recordid cdi_proquest_journals_2584882000
source ABI/INFORM Global (ProQuest); Springer Nature
subjects Aquatic Pollution
Atmospheric Protection/Air Quality Control/Air Pollution
Biomass burning
Burning
Carcinogens
Chemical analysis
Chemical properties
Children
Cluster analysis
Clustering
Combustion
Earth and Environmental Science
Ecotoxicology
Environment
Environmental Chemistry
Environmental Health
Environmental science
Health risks
Particulate matter
Pollution
Pollution levels
Recent Developments and Innovative Strategies in Environmental Sciences in Europe
Trajectory analysis
Waste Water Technology
Water Management
Water Pollution Control
title Composition analysis of PM2.5 at multiple sites in Zhengzhou, China: implications for characterization and source apportionment at different pollution levels
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T16%3A40%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Composition%20analysis%20of%20PM2.5%20at%20multiple%20sites%20in%20Zhengzhou,%20China:%20implications%20for%20characterization%20and%20source%20apportionment%20at%20different%20pollution%20levels&rft.jtitle=Environmental%20science%20and%20pollution%20research%20international&rft.au=Liu,%20Xiaohan&rft.date=2021-11-01&rft.volume=28&rft.issue=42&rft.spage=59329&rft.epage=59344&rft.pages=59329-59344&rft.issn=0944-1344&rft.eissn=1614-7499&rft_id=info:doi/10.1007/s11356-020-10943-5&rft_dat=%3Cproquest_cross%3E2584882000%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c2675-487510feec0c090cc4a3e8398a3a11b9b4837947ddfed0d7f32d0e258d3055753%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2584882000&rft_id=info:pmid/&rfr_iscdi=true