Influences of a Quasi-stationary Front on Particulate Matter in the Low-latitude Plateau Region in China
By utilizing observation and reanalysis data and statistical methods to comprehensively assess the main characteristics of particulate matter (PM) on the low-latitude plateau (LoLaP) of southwestern China, this study analyzed the influence of the Kunming quasi-stationary front (KMQSF) on the PM conc...
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description | By utilizing observation and reanalysis data and statistical methods to comprehensively assess the main characteristics of particulate matter (PM) on the low-latitude plateau (LoLaP) of southwestern China, this study analyzed the influence of the Kunming quasi-stationary front (KMQSF) on the PM concentration during winter in this region. We found that the location and intensity of the KMQSF significantly affected the distribution pattern of the PM and induced high concentrations in some areas during a typical pollution event in 2016. Furthermore, we investigated all of the KMQSF synoptic weather that occurred from 2014 till 2019 and categorized it into nine types, which produced different pollution patterns. When the KMQSF moved westward from the center of the LoLaP, the easterly wind transported PM to the western part of the region, which led to an increase in the mean daily PM_(10) and PM_(2.5) concentrations in Kunming, a capital city in that area; simultaneously, however, the PM_(10) and PM_(2.5) levels remained high in Guiyang, a capital city in the eastern part of the LoLaP. When the KMQSF gradually retreated from the western to the eastern part of the LoLaP, the PM in Kunming dropped as the westerly wind increased in strength, whereas the PM in Guiyang continued to rise as the planetary boundary layer (PBL) height (PBLH) and boundary layer dissipation (BLD) rate decreased. When the KMQSF disappeared, temperature inversion, a shallow PBL and weak BLD across the entire region caused pollutants to accumulate, resulting in the highest mean daily PM_(10) and PM_(2.5) concentrations for both cities. |
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We found that the location and intensity of the KMQSF significantly affected the distribution pattern of the PM and induced high concentrations in some areas during a typical pollution event in 2016. Furthermore, we investigated all of the KMQSF synoptic weather that occurred from 2014 till 2019 and categorized it into nine types, which produced different pollution patterns. When the KMQSF moved westward from the center of the LoLaP, the easterly wind transported PM to the western part of the region, which led to an increase in the mean daily PM_(10) and PM_(2.5) concentrations in Kunming, a capital city in that area; simultaneously, however, the PM_(10) and PM_(2.5) levels remained high in Guiyang, a capital city in the eastern part of the LoLaP. When the KMQSF gradually retreated from the western to the eastern part of the LoLaP, the PM in Kunming dropped as the westerly wind increased in strength, whereas the PM in Guiyang continued to rise as the planetary boundary layer (PBL) height (PBLH) and boundary layer dissipation (BLD) rate decreased. When the KMQSF disappeared, temperature inversion, a shallow PBL and weak BLD across the entire region caused pollutants to accumulate, resulting in the highest mean daily PM_(10) and PM_(2.5) concentrations for both cities.</description><identifier>ISSN: 1680-8584</identifier><identifier>EISSN: 2071-1409</identifier><identifier>DOI: 10.4209/aaqr.2020.03.0125</identifier><language>eng</language><publisher>Cham: 社團法人台灣氣膠研究學會</publisher><subject>Aerosols ; Air pollution ; Boundary layers ; Cities ; Cold ; Latitude ; Original Research ; Outdoor air quality ; Particulate emissions ; Particulate matter ; Planetary boundary layer ; Pollutants ; Pollution ; Precipitation ; Radiation ; Sea level ; Statistical methods ; Trends ; Wind</subject><ispartof>Aerosol and Air Quality Research, 2021-01, Vol.21 (1), p.1-19</ispartof><rights>The Author(s) 2021</rights><rights>2021. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). 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Res</addtitle><description>By utilizing observation and reanalysis data and statistical methods to comprehensively assess the main characteristics of particulate matter (PM) on the low-latitude plateau (LoLaP) of southwestern China, this study analyzed the influence of the Kunming quasi-stationary front (KMQSF) on the PM concentration during winter in this region. We found that the location and intensity of the KMQSF significantly affected the distribution pattern of the PM and induced high concentrations in some areas during a typical pollution event in 2016. Furthermore, we investigated all of the KMQSF synoptic weather that occurred from 2014 till 2019 and categorized it into nine types, which produced different pollution patterns. When the KMQSF moved westward from the center of the LoLaP, the easterly wind transported PM to the western part of the region, which led to an increase in the mean daily PM_(10) and PM_(2.5) concentrations in Kunming, a capital city in that area; simultaneously, however, the PM_(10) and PM_(2.5) levels remained high in Guiyang, a capital city in the eastern part of the LoLaP. When the KMQSF gradually retreated from the western to the eastern part of the LoLaP, the PM in Kunming dropped as the westerly wind increased in strength, whereas the PM in Guiyang continued to rise as the planetary boundary layer (PBL) height (PBLH) and boundary layer dissipation (BLD) rate decreased. When the KMQSF disappeared, temperature inversion, a shallow PBL and weak BLD across the entire region caused pollutants to accumulate, resulting in the highest mean daily PM_(10) and PM_(2.5) concentrations for both cities.</description><subject>Aerosols</subject><subject>Air pollution</subject><subject>Boundary layers</subject><subject>Cities</subject><subject>Cold</subject><subject>Latitude</subject><subject>Original Research</subject><subject>Outdoor air quality</subject><subject>Particulate emissions</subject><subject>Particulate matter</subject><subject>Planetary boundary layer</subject><subject>Pollutants</subject><subject>Pollution</subject><subject>Precipitation</subject><subject>Radiation</subject><subject>Sea level</subject><subject>Statistical methods</subject><subject>Trends</subject><subject>Wind</subject><issn>1680-8584</issn><issn>2071-1409</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kU9rGzEQxUVJoCbJB-hN0PM6M1rtHx2LqVuDS9KSnsV4I9kyrtaWtIR--0rY0OQSXQaJ33szesPYJ4S5FKDuiU5hLkDAHOo5oGg-sJmADiuUoK7YDNseqr7p5Ud2F-Me8ml72XY4Y7uVt4fJ-MFEPlpO_OdE0VUxUXKjp_CXL8PoEx89f6SQ3DAdKBn-g1IygTvP087w9fhS5WeXpmfDHwtAE_9lttmhIIud83TLri0dorm71Bv2e_n1afG9Wj98Wy2-rCuSokl5Yqls1w6yM8_YS1SmBrKoepQE0pahm82GNqgG1VhlZV8rYeWmsyCN6Zr6hn0--x7DeJpMTHo_TsHnllq0shG1UKLNFJ6pIYwxBmP1Mbg_-bsaQZdMdclUl0w11LpkmjXirImZ9VsT_ju_J1qdReSCS-6VJO-krKTgCHgp0AFg9_aCGlU2q-t_TVaN-Q</recordid><startdate>20210101</startdate><enddate>20210101</enddate><creator>Fan, Wenxuan</creator><creator>Wu, Jian</creator><creator>Li, Xiaopeng</creator><creator>Yang, Fangyuan</creator><creator>Chen, Bing</creator><creator>Guo, Jun</creator><general>社團法人台灣氣膠研究學會</general><general>Springer International Publishing</general><general>Taiwan Association of Aerosol Research</general><scope>188</scope><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope></search><sort><creationdate>20210101</creationdate><title>Influences of a Quasi-stationary Front on Particulate Matter in the Low-latitude Plateau Region in China</title><author>Fan, Wenxuan ; Wu, Jian ; Li, Xiaopeng ; Yang, Fangyuan ; Chen, Bing ; Guo, Jun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a425t-1449f76c47ed18419e30af19814a04f46715bbab19c95f9f48392f4b7f04ee753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aerosols</topic><topic>Air pollution</topic><topic>Boundary layers</topic><topic>Cities</topic><topic>Cold</topic><topic>Latitude</topic><topic>Original Research</topic><topic>Outdoor air quality</topic><topic>Particulate emissions</topic><topic>Particulate matter</topic><topic>Planetary boundary layer</topic><topic>Pollutants</topic><topic>Pollution</topic><topic>Precipitation</topic><topic>Radiation</topic><topic>Sea level</topic><topic>Statistical methods</topic><topic>Trends</topic><topic>Wind</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fan, Wenxuan</creatorcontrib><creatorcontrib>Wu, Jian</creatorcontrib><creatorcontrib>Li, Xiaopeng</creatorcontrib><creatorcontrib>Yang, Fangyuan</creatorcontrib><creatorcontrib>Chen, Bing</creatorcontrib><creatorcontrib>Guo, Jun</creatorcontrib><collection>Airiti Library</collection><collection>SpringerOpen</collection><collection>CrossRef</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</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><jtitle>Aerosol and Air Quality Research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fan, Wenxuan</au><au>Wu, Jian</au><au>Li, Xiaopeng</au><au>Yang, Fangyuan</au><au>Chen, Bing</au><au>Guo, Jun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Influences of a Quasi-stationary Front on Particulate Matter in the Low-latitude Plateau Region in China</atitle><jtitle>Aerosol and Air Quality Research</jtitle><stitle>Aerosol Air Qual. Res</stitle><date>2021-01-01</date><risdate>2021</risdate><volume>21</volume><issue>1</issue><spage>1</spage><epage>19</epage><pages>1-19</pages><issn>1680-8584</issn><eissn>2071-1409</eissn><abstract>By utilizing observation and reanalysis data and statistical methods to comprehensively assess the main characteristics of particulate matter (PM) on the low-latitude plateau (LoLaP) of southwestern China, this study analyzed the influence of the Kunming quasi-stationary front (KMQSF) on the PM concentration during winter in this region. We found that the location and intensity of the KMQSF significantly affected the distribution pattern of the PM and induced high concentrations in some areas during a typical pollution event in 2016. Furthermore, we investigated all of the KMQSF synoptic weather that occurred from 2014 till 2019 and categorized it into nine types, which produced different pollution patterns. When the KMQSF moved westward from the center of the LoLaP, the easterly wind transported PM to the western part of the region, which led to an increase in the mean daily PM_(10) and PM_(2.5) concentrations in Kunming, a capital city in that area; simultaneously, however, the PM_(10) and PM_(2.5) levels remained high in Guiyang, a capital city in the eastern part of the LoLaP. When the KMQSF gradually retreated from the western to the eastern part of the LoLaP, the PM in Kunming dropped as the westerly wind increased in strength, whereas the PM in Guiyang continued to rise as the planetary boundary layer (PBL) height (PBLH) and boundary layer dissipation (BLD) rate decreased. When the KMQSF disappeared, temperature inversion, a shallow PBL and weak BLD across the entire region caused pollutants to accumulate, resulting in the highest mean daily PM_(10) and PM_(2.5) concentrations for both cities.</abstract><cop>Cham</cop><pub>社團法人台灣氣膠研究學會</pub><doi>10.4209/aaqr.2020.03.0125</doi><tpages>19</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aerosols Air pollution Boundary layers Cities Cold Latitude Original Research Outdoor air quality Particulate emissions Particulate matter Planetary boundary layer Pollutants Pollution Precipitation Radiation Sea level Statistical methods Trends Wind |
title | Influences of a Quasi-stationary Front on Particulate Matter in the Low-latitude Plateau Region in China |
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