Atmospheric boundary layer turbulence structure for severe foggy haze episodes in north China in December 2016

This paper aims to identify the atmospheric boundary layer turbulence structure and its effect on severe foggy haze events frequently occurring in Northern China. We use data collected from a ground eddy covariance system, meteorology tower, and a PM2.5 collector in Baoding, China during December 20...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Environmental pollution (1987) 2020-09, Vol.264, p.114726-114726, Article 114726
Hauptverfasser: Li, Xin, Gao, Chloe Y., Gao, Zhiqiu, Zhang, Xiaoye
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 114726
container_issue
container_start_page 114726
container_title Environmental pollution (1987)
container_volume 264
creator Li, Xin
Gao, Chloe Y.
Gao, Zhiqiu
Zhang, Xiaoye
description This paper aims to identify the atmospheric boundary layer turbulence structure and its effect on severe foggy haze events frequently occurring in Northern China. We use data collected from a ground eddy covariance system, meteorology tower, and a PM2.5 collector in Baoding, China during December 2016. The data shows that 73.5% of PM2.5 concentration is greater than 100 μg m−3 with a maximum of 522 μg m−3. Analyses on vertical turbulence spectrum also reveal that 1) during the pollution period, lower wind can suppress large-scale turbulence eddies, which are more likely inhomogeneous, breaking into small-scale eddies, and 2) the air pollutant scattering effect for radiation could decrease the air temperature near the ground and generate weak vertical turbulence during the daytime. At night, air pollutants suppress the land surface cooling and decrease the air temperature difference as well as the vertical turbulence intensity difference. The vertical turbulence impact analysis reveals that the percentage of large-scale turbulence eddies can also change the atmospheric vertical mixing capacity. During the daytime, the air pollution evolution is controlled by the wind speed and vertical turbulence intensity. While at night, the vertical turbulence is weak and the atmospheric vertical mixing capacity is mainly controlled by the large-scale eddies’ percentage. The increased number of large-scale turbulence eddies led by low wind at night could increase the vertical mixing of air pollutants and decrease its concentration near the ground. [Display omitted] •The lower wind can suppress large-scale turbulence eddies break into small-scale eddies.•At night, the vertical turbulence is weak and the atmospheric vertical mixing capacity is mainly controlled by the large-scale eddies’ percentage.•The increased number of large-scale turbulence eddies at night could increase the vertical transport of air pollutants.
doi_str_mv 10.1016/j.envpol.2020.114726
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2404383908</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0269749120311908</els_id><sourcerecordid>2404383908</sourcerecordid><originalsourceid>FETCH-LOGICAL-c362t-ed982308654c34781dc9cf4bfe2867e7528428aee21d8d66740d14d4382d53fc3</originalsourceid><addsrcrecordid>eNp9kMtu2zAQRYkiQe2k_YOi4LIbuXyZpDYFDOcJBMimXRMSOYppSKJKSgbcrw9VpV1mNQ_cmTtzEPpCyYYSKr8fN9CfhtBuGGG5RYVi8gNaU614IQUTF2hNmCwLJUq6QlcpHQkhgnP-Ea04E1RtlVyjfjd2IQ0HiN7iOky9q-IZt9UZIh6nWE8t9BZwGuNkcw24CREnOMHf9OXljA_VH8Aw-BQcJOx73Ic4HvD-4PtqLm_AQlfndSxf_QldNlWb4PNbvEa_7m5_7h-Kp-f7x_3uqbBcsrEAV2rGiZZbYblQmjpb2kbUDTAtFagt04LpCoBRp52UShBHhRNcM7fljeXX6Nuyd4jh9wRpNJ1PFtq26iFMyTCRUWheEp2lYpHaGFKK0Jgh-i5TMJSYmbQ5moW0mUmbhXQe-_rmMNUduP9D_9BmwY9FAPnPk4dokvUzTOcj2NG44N93eAXlxpFy</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2404383908</pqid></control><display><type>article</type><title>Atmospheric boundary layer turbulence structure for severe foggy haze episodes in north China in December 2016</title><source>Elsevier ScienceDirect Journals</source><creator>Li, Xin ; Gao, Chloe Y. ; Gao, Zhiqiu ; Zhang, Xiaoye</creator><creatorcontrib>Li, Xin ; Gao, Chloe Y. ; Gao, Zhiqiu ; Zhang, Xiaoye</creatorcontrib><description>This paper aims to identify the atmospheric boundary layer turbulence structure and its effect on severe foggy haze events frequently occurring in Northern China. We use data collected from a ground eddy covariance system, meteorology tower, and a PM2.5 collector in Baoding, China during December 2016. The data shows that 73.5% of PM2.5 concentration is greater than 100 μg m−3 with a maximum of 522 μg m−3. Analyses on vertical turbulence spectrum also reveal that 1) during the pollution period, lower wind can suppress large-scale turbulence eddies, which are more likely inhomogeneous, breaking into small-scale eddies, and 2) the air pollutant scattering effect for radiation could decrease the air temperature near the ground and generate weak vertical turbulence during the daytime. At night, air pollutants suppress the land surface cooling and decrease the air temperature difference as well as the vertical turbulence intensity difference. The vertical turbulence impact analysis reveals that the percentage of large-scale turbulence eddies can also change the atmospheric vertical mixing capacity. During the daytime, the air pollution evolution is controlled by the wind speed and vertical turbulence intensity. While at night, the vertical turbulence is weak and the atmospheric vertical mixing capacity is mainly controlled by the large-scale eddies’ percentage. The increased number of large-scale turbulence eddies led by low wind at night could increase the vertical mixing of air pollutants and decrease its concentration near the ground. [Display omitted] •The lower wind can suppress large-scale turbulence eddies break into small-scale eddies.•At night, the vertical turbulence is weak and the atmospheric vertical mixing capacity is mainly controlled by the large-scale eddies’ percentage.•The increased number of large-scale turbulence eddies at night could increase the vertical transport of air pollutants.</description><identifier>ISSN: 0269-7491</identifier><identifier>EISSN: 1873-6424</identifier><identifier>DOI: 10.1016/j.envpol.2020.114726</identifier><identifier>PMID: 32417576</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Foggy haze episodes ; Large-scale turbulence eddies ; Turbulence structure ; Vertical mixing capacity</subject><ispartof>Environmental pollution (1987), 2020-09, Vol.264, p.114726-114726, Article 114726</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright © 2020 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c362t-ed982308654c34781dc9cf4bfe2867e7528428aee21d8d66740d14d4382d53fc3</citedby><cites>FETCH-LOGICAL-c362t-ed982308654c34781dc9cf4bfe2867e7528428aee21d8d66740d14d4382d53fc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0269749120311908$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32417576$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Xin</creatorcontrib><creatorcontrib>Gao, Chloe Y.</creatorcontrib><creatorcontrib>Gao, Zhiqiu</creatorcontrib><creatorcontrib>Zhang, Xiaoye</creatorcontrib><title>Atmospheric boundary layer turbulence structure for severe foggy haze episodes in north China in December 2016</title><title>Environmental pollution (1987)</title><addtitle>Environ Pollut</addtitle><description>This paper aims to identify the atmospheric boundary layer turbulence structure and its effect on severe foggy haze events frequently occurring in Northern China. We use data collected from a ground eddy covariance system, meteorology tower, and a PM2.5 collector in Baoding, China during December 2016. The data shows that 73.5% of PM2.5 concentration is greater than 100 μg m−3 with a maximum of 522 μg m−3. Analyses on vertical turbulence spectrum also reveal that 1) during the pollution period, lower wind can suppress large-scale turbulence eddies, which are more likely inhomogeneous, breaking into small-scale eddies, and 2) the air pollutant scattering effect for radiation could decrease the air temperature near the ground and generate weak vertical turbulence during the daytime. At night, air pollutants suppress the land surface cooling and decrease the air temperature difference as well as the vertical turbulence intensity difference. The vertical turbulence impact analysis reveals that the percentage of large-scale turbulence eddies can also change the atmospheric vertical mixing capacity. During the daytime, the air pollution evolution is controlled by the wind speed and vertical turbulence intensity. While at night, the vertical turbulence is weak and the atmospheric vertical mixing capacity is mainly controlled by the large-scale eddies’ percentage. The increased number of large-scale turbulence eddies led by low wind at night could increase the vertical mixing of air pollutants and decrease its concentration near the ground. [Display omitted] •The lower wind can suppress large-scale turbulence eddies break into small-scale eddies.•At night, the vertical turbulence is weak and the atmospheric vertical mixing capacity is mainly controlled by the large-scale eddies’ percentage.•The increased number of large-scale turbulence eddies at night could increase the vertical transport of air pollutants.</description><subject>Foggy haze episodes</subject><subject>Large-scale turbulence eddies</subject><subject>Turbulence structure</subject><subject>Vertical mixing capacity</subject><issn>0269-7491</issn><issn>1873-6424</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kMtu2zAQRYkiQe2k_YOi4LIbuXyZpDYFDOcJBMimXRMSOYppSKJKSgbcrw9VpV1mNQ_cmTtzEPpCyYYSKr8fN9CfhtBuGGG5RYVi8gNaU614IQUTF2hNmCwLJUq6QlcpHQkhgnP-Ea04E1RtlVyjfjd2IQ0HiN7iOky9q-IZt9UZIh6nWE8t9BZwGuNkcw24CREnOMHf9OXljA_VH8Aw-BQcJOx73Ic4HvD-4PtqLm_AQlfndSxf_QldNlWb4PNbvEa_7m5_7h-Kp-f7x_3uqbBcsrEAV2rGiZZbYblQmjpb2kbUDTAtFagt04LpCoBRp52UShBHhRNcM7fljeXX6Nuyd4jh9wRpNJ1PFtq26iFMyTCRUWheEp2lYpHaGFKK0Jgh-i5TMJSYmbQ5moW0mUmbhXQe-_rmMNUduP9D_9BmwY9FAPnPk4dokvUzTOcj2NG44N93eAXlxpFy</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Li, Xin</creator><creator>Gao, Chloe Y.</creator><creator>Gao, Zhiqiu</creator><creator>Zhang, Xiaoye</creator><general>Elsevier Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20200901</creationdate><title>Atmospheric boundary layer turbulence structure for severe foggy haze episodes in north China in December 2016</title><author>Li, Xin ; Gao, Chloe Y. ; Gao, Zhiqiu ; Zhang, Xiaoye</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c362t-ed982308654c34781dc9cf4bfe2867e7528428aee21d8d66740d14d4382d53fc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Foggy haze episodes</topic><topic>Large-scale turbulence eddies</topic><topic>Turbulence structure</topic><topic>Vertical mixing capacity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Xin</creatorcontrib><creatorcontrib>Gao, Chloe Y.</creatorcontrib><creatorcontrib>Gao, Zhiqiu</creatorcontrib><creatorcontrib>Zhang, Xiaoye</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Environmental pollution (1987)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Xin</au><au>Gao, Chloe Y.</au><au>Gao, Zhiqiu</au><au>Zhang, Xiaoye</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Atmospheric boundary layer turbulence structure for severe foggy haze episodes in north China in December 2016</atitle><jtitle>Environmental pollution (1987)</jtitle><addtitle>Environ Pollut</addtitle><date>2020-09-01</date><risdate>2020</risdate><volume>264</volume><spage>114726</spage><epage>114726</epage><pages>114726-114726</pages><artnum>114726</artnum><issn>0269-7491</issn><eissn>1873-6424</eissn><abstract>This paper aims to identify the atmospheric boundary layer turbulence structure and its effect on severe foggy haze events frequently occurring in Northern China. We use data collected from a ground eddy covariance system, meteorology tower, and a PM2.5 collector in Baoding, China during December 2016. The data shows that 73.5% of PM2.5 concentration is greater than 100 μg m−3 with a maximum of 522 μg m−3. Analyses on vertical turbulence spectrum also reveal that 1) during the pollution period, lower wind can suppress large-scale turbulence eddies, which are more likely inhomogeneous, breaking into small-scale eddies, and 2) the air pollutant scattering effect for radiation could decrease the air temperature near the ground and generate weak vertical turbulence during the daytime. At night, air pollutants suppress the land surface cooling and decrease the air temperature difference as well as the vertical turbulence intensity difference. The vertical turbulence impact analysis reveals that the percentage of large-scale turbulence eddies can also change the atmospheric vertical mixing capacity. During the daytime, the air pollution evolution is controlled by the wind speed and vertical turbulence intensity. While at night, the vertical turbulence is weak and the atmospheric vertical mixing capacity is mainly controlled by the large-scale eddies’ percentage. The increased number of large-scale turbulence eddies led by low wind at night could increase the vertical mixing of air pollutants and decrease its concentration near the ground. [Display omitted] •The lower wind can suppress large-scale turbulence eddies break into small-scale eddies.•At night, the vertical turbulence is weak and the atmospheric vertical mixing capacity is mainly controlled by the large-scale eddies’ percentage.•The increased number of large-scale turbulence eddies at night could increase the vertical transport of air pollutants.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>32417576</pmid><doi>10.1016/j.envpol.2020.114726</doi><tpages>1</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0269-7491
ispartof Environmental pollution (1987), 2020-09, Vol.264, p.114726-114726, Article 114726
issn 0269-7491
1873-6424
language eng
recordid cdi_proquest_miscellaneous_2404383908
source Elsevier ScienceDirect Journals
subjects Foggy haze episodes
Large-scale turbulence eddies
Turbulence structure
Vertical mixing capacity
title Atmospheric boundary layer turbulence structure for severe foggy haze episodes in north China in December 2016
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T11%3A22%3A05IST&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=Atmospheric%20boundary%20layer%20turbulence%20structure%20for%20severe%20foggy%20haze%20episodes%20in%20north%20China%20in%20December%202016&rft.jtitle=Environmental%20pollution%20(1987)&rft.au=Li,%20Xin&rft.date=2020-09-01&rft.volume=264&rft.spage=114726&rft.epage=114726&rft.pages=114726-114726&rft.artnum=114726&rft.issn=0269-7491&rft.eissn=1873-6424&rft_id=info:doi/10.1016/j.envpol.2020.114726&rft_dat=%3Cproquest_cross%3E2404383908%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2404383908&rft_id=info:pmid/32417576&rft_els_id=S0269749120311908&rfr_iscdi=true