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Air Quality in Ningbo and Transport Trajectory Characteristics of Primary Pollutants in Autumn and Winter
By using meteorology and pollution observation data from Zhejiang province, and data from the National Centers for Environmental Prediction’s Global Data Assimilation System from 1 June 2013, to 31 May 2016, we analyzed air quality characteristics in Ningbo and applied the HYSPLIT model to do backwa...
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Published in: | Atmosphere 2019-03, Vol.10 (3), p.120 |
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description | By using meteorology and pollution observation data from Zhejiang province, and data from the National Centers for Environmental Prediction’s Global Data Assimilation System from 1 June 2013, to 31 May 2016, we analyzed air quality characteristics in Ningbo and applied the HYSPLIT model to do backward trajectory clustering statistics for pollution cases of moderate, heavy and severe (henceforth referred to as moderate-and-above) levels. The results indicated that the percentage of moderate-and-above pollution was approximately 6%, which mostly occurred from November to February, with the primary pollutant being particulate matter with a diameter of ≤2.5 μm; Moderate-and-above pollution was mainly caused by pollutants from three types of trajectories (type mx, type 1, and type 2), with type 2 differing significantly from types 1 and mx. Type 2 occurred in stable boundary layers, whereas types mx and 1 occurred in unstable and conditionally unstable layers respectively. These three trajectory types were all related to cold air, but type 2 was weaker than the other two. Analysis of typical cases of various pollution types revealed that a heavy pollution outbreak was due to continuous superposition of pollutants. The input particles most likely originated from the northwest. The upstream situation was the focus of investigation to assist in local pollution forecasting. |
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The results indicated that the percentage of moderate-and-above pollution was approximately 6%, which mostly occurred from November to February, with the primary pollutant being particulate matter with a diameter of ≤2.5 μm; Moderate-and-above pollution was mainly caused by pollutants from three types of trajectories (type mx, type 1, and type 2), with type 2 differing significantly from types 1 and mx. Type 2 occurred in stable boundary layers, whereas types mx and 1 occurred in unstable and conditionally unstable layers respectively. These three trajectory types were all related to cold air, but type 2 was weaker than the other two. Analysis of typical cases of various pollution types revealed that a heavy pollution outbreak was due to continuous superposition of pollutants. The input particles most likely originated from the northwest. The upstream situation was the focus of investigation to assist in local pollution forecasting.</description><identifier>ISSN: 2073-4433</identifier><identifier>EISSN: 2073-4433</identifier><identifier>DOI: 10.3390/atmos10030120</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>aerosol ; Air ; Air pollution ; Air quality ; Atmospheric aerosols ; Autumn ; Boundary layers ; case study ; Clustering ; coastal area of Zhejiang province ; Data assimilation ; Data collection ; Environmental protection ; HYSPLIT ; Meteorology ; Outdoor air quality ; Particulate matter ; Pollutants ; Pollution ; Pollution dispersion ; Pollution forecasting ; Quality standards ; Statistical analysis ; Statistical methods ; Suspended particulate matter ; Trajectories ; Winter</subject><ispartof>Atmosphere, 2019-03, Vol.10 (3), p.120</ispartof><rights>2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c370t-4e9d95737bad370378d5970a726825eb25a1112f29db07bb049fa89404ca4a803</citedby><cites>FETCH-LOGICAL-c370t-4e9d95737bad370378d5970a726825eb25a1112f29db07bb049fa89404ca4a803</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2306564697/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2306564697?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,25732,27903,27904,36991,44569,74872</link.rule.ids></links><search><creatorcontrib>Tu, Xiaoping</creatorcontrib><creatorcontrib>Lu, Yun</creatorcontrib><creatorcontrib>Yao, Risheng</creatorcontrib><creatorcontrib>Zhu, Jiamin</creatorcontrib><title>Air Quality in Ningbo and Transport Trajectory Characteristics of Primary Pollutants in Autumn and Winter</title><title>Atmosphere</title><description>By using meteorology and pollution observation data from Zhejiang province, and data from the National Centers for Environmental Prediction’s Global Data Assimilation System from 1 June 2013, to 31 May 2016, we analyzed air quality characteristics in Ningbo and applied the HYSPLIT model to do backward trajectory clustering statistics for pollution cases of moderate, heavy and severe (henceforth referred to as moderate-and-above) levels. The results indicated that the percentage of moderate-and-above pollution was approximately 6%, which mostly occurred from November to February, with the primary pollutant being particulate matter with a diameter of ≤2.5 μm; Moderate-and-above pollution was mainly caused by pollutants from three types of trajectories (type mx, type 1, and type 2), with type 2 differing significantly from types 1 and mx. Type 2 occurred in stable boundary layers, whereas types mx and 1 occurred in unstable and conditionally unstable layers respectively. These three trajectory types were all related to cold air, but type 2 was weaker than the other two. Analysis of typical cases of various pollution types revealed that a heavy pollution outbreak was due to continuous superposition of pollutants. The input particles most likely originated from the northwest. The upstream situation was the focus of investigation to assist in local pollution forecasting.</description><subject>aerosol</subject><subject>Air</subject><subject>Air pollution</subject><subject>Air quality</subject><subject>Atmospheric aerosols</subject><subject>Autumn</subject><subject>Boundary layers</subject><subject>case study</subject><subject>Clustering</subject><subject>coastal area of Zhejiang province</subject><subject>Data assimilation</subject><subject>Data collection</subject><subject>Environmental protection</subject><subject>HYSPLIT</subject><subject>Meteorology</subject><subject>Outdoor air quality</subject><subject>Particulate matter</subject><subject>Pollutants</subject><subject>Pollution</subject><subject>Pollution dispersion</subject><subject>Pollution forecasting</subject><subject>Quality standards</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Suspended particulate matter</subject><subject>Trajectories</subject><subject>Winter</subject><issn>2073-4433</issn><issn>2073-4433</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpVkUtLAzEQxxdRsGiP3gOeV2eT7GZzLMVHoWiFiscw-6pZtklNsod-e9NWROcywzx-8x8mSW4yuGNMwj2GrfUZAIOMwlkyoSBYyjlj53_iy2TqfQ_RuGSU8UmiZ9qRtxEHHfZEG_KizaayBE1D1g6N31kXDlHf1sG6PZl_osM6tE77oGtPbEdWTm8xllZ2GMaAJvgDaDaGcWuOoA9t4sB1ctHh4Nvpj79K3h8f1vPndPn6tJjPlmnNBISUt7KRuWCiwiYmmCibXApAQYuS5m1Fc8yyjHZUNhWIqoqXdFhKDrxGjiWwq2Rx4jYWe7U7iVMWtTomrNsodFH70CpWNRyoLGmHjAPUZYFQ1jIHLKiM6Mi6PbF2zn6NrQ-qt6MzUb6iDIq84IUUsSs9ddXOeu_a7ndrBurwHPXvOewb_bqBog</recordid><startdate>20190301</startdate><enddate>20190301</enddate><creator>Tu, Xiaoping</creator><creator>Lu, Yun</creator><creator>Yao, Risheng</creator><creator>Zhu, Jiamin</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>SOI</scope><scope>DOA</scope></search><sort><creationdate>20190301</creationdate><title>Air Quality in Ningbo and Transport Trajectory Characteristics of Primary Pollutants in Autumn and Winter</title><author>Tu, Xiaoping ; Lu, Yun ; Yao, Risheng ; Zhu, Jiamin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c370t-4e9d95737bad370378d5970a726825eb25a1112f29db07bb049fa89404ca4a803</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>aerosol</topic><topic>Air</topic><topic>Air pollution</topic><topic>Air quality</topic><topic>Atmospheric aerosols</topic><topic>Autumn</topic><topic>Boundary layers</topic><topic>case study</topic><topic>Clustering</topic><topic>coastal area of Zhejiang province</topic><topic>Data assimilation</topic><topic>Data collection</topic><topic>Environmental protection</topic><topic>HYSPLIT</topic><topic>Meteorology</topic><topic>Outdoor air quality</topic><topic>Particulate matter</topic><topic>Pollutants</topic><topic>Pollution</topic><topic>Pollution dispersion</topic><topic>Pollution forecasting</topic><topic>Quality standards</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Suspended particulate matter</topic><topic>Trajectories</topic><topic>Winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tu, Xiaoping</creatorcontrib><creatorcontrib>Lu, Yun</creatorcontrib><creatorcontrib>Yao, Risheng</creatorcontrib><creatorcontrib>Zhu, Jiamin</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environment Abstracts</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Atmosphere</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tu, Xiaoping</au><au>Lu, Yun</au><au>Yao, Risheng</au><au>Zhu, Jiamin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Air Quality in Ningbo and Transport Trajectory Characteristics of Primary Pollutants in Autumn and Winter</atitle><jtitle>Atmosphere</jtitle><date>2019-03-01</date><risdate>2019</risdate><volume>10</volume><issue>3</issue><spage>120</spage><pages>120-</pages><issn>2073-4433</issn><eissn>2073-4433</eissn><abstract>By using meteorology and pollution observation data from Zhejiang province, and data from the National Centers for Environmental Prediction’s Global Data Assimilation System from 1 June 2013, to 31 May 2016, we analyzed air quality characteristics in Ningbo and applied the HYSPLIT model to do backward trajectory clustering statistics for pollution cases of moderate, heavy and severe (henceforth referred to as moderate-and-above) levels. The results indicated that the percentage of moderate-and-above pollution was approximately 6%, which mostly occurred from November to February, with the primary pollutant being particulate matter with a diameter of ≤2.5 μm; Moderate-and-above pollution was mainly caused by pollutants from three types of trajectories (type mx, type 1, and type 2), with type 2 differing significantly from types 1 and mx. Type 2 occurred in stable boundary layers, whereas types mx and 1 occurred in unstable and conditionally unstable layers respectively. These three trajectory types were all related to cold air, but type 2 was weaker than the other two. Analysis of typical cases of various pollution types revealed that a heavy pollution outbreak was due to continuous superposition of pollutants. The input particles most likely originated from the northwest. 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subjects | aerosol Air Air pollution Air quality Atmospheric aerosols Autumn Boundary layers case study Clustering coastal area of Zhejiang province Data assimilation Data collection Environmental protection HYSPLIT Meteorology Outdoor air quality Particulate matter Pollutants Pollution Pollution dispersion Pollution forecasting Quality standards Statistical analysis Statistical methods Suspended particulate matter Trajectories Winter |
title | Air Quality in Ningbo and Transport Trajectory Characteristics of Primary Pollutants in Autumn and Winter |
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