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Downdraft influences on the differences of PM2.5 concentration: insights from a mega haze evolution in the winter of northern China
A significant haze event occurred in northern China from 16 to 21 November 2022. This study analyzed the haze spatial evolution, and meteorological influences by integrating ground and satellite measurements. Most data were obtained using aerosol lidar and wind lidar observations in suburban (Nanjia...
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Published in: | Environmental research letters 2024-01, Vol.19 (1), p.014042 |
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description | A significant haze event occurred in northern China from 16 to 21 November 2022. This study analyzed the haze spatial evolution, and meteorological influences by integrating ground and satellite measurements. Most data were obtained using aerosol lidar and wind lidar observations in suburban (Nanjiao Observation Station, NJOS) and urban Beijing (Haidian Observation Station, HDOS). The observations at NJOS and HDOS indicate the presence of a distinct layer of haze restricted to a height of up to 1500 m above the surface. However, the aerosol intensity at HDOS was comparatively lower (aerosol extinction coefficient: 1.39 ± 0.27 km−1) than at NJOS (1.77 ± 0.38 km−1), with approximately one day of time lag in response to the southerly winds. Though NJOS and HDOS presented a similar wind stratification structure, the downdraft under 1000 m influenced the surface air quality were significantly different. The intense downdraft at the lower height at HDOS prevented the vertical upward diffusion of accumulated ground pollutants, whose effect was similar to that of the inversion layer. That led to a more stable increasing trend of PM2.5 at HDOS, with the shallowest planet boundary layer height of 242 m on 20 November. By contrast, NJOS in the transportation path was more regularly influenced by the southerly flow and presented cyclical PM2.5 concentration. This study shows downdraft in urban environments acting as an accelerator for urban episodic PM2.5 pollution, suggesting the complicated contribution from meteorological factors. |
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This study analyzed the haze spatial evolution, and meteorological influences by integrating ground and satellite measurements. Most data were obtained using aerosol lidar and wind lidar observations in suburban (Nanjiao Observation Station, NJOS) and urban Beijing (Haidian Observation Station, HDOS). The observations at NJOS and HDOS indicate the presence of a distinct layer of haze restricted to a height of up to 1500 m above the surface. However, the aerosol intensity at HDOS was comparatively lower (aerosol extinction coefficient: 1.39 ± 0.27 km−1) than at NJOS (1.77 ± 0.38 km−1), with approximately one day of time lag in response to the southerly winds. Though NJOS and HDOS presented a similar wind stratification structure, the downdraft under 1000 m influenced the surface air quality were significantly different. The intense downdraft at the lower height at HDOS prevented the vertical upward diffusion of accumulated ground pollutants, whose effect was similar to that of the inversion layer. That led to a more stable increasing trend of PM2.5 at HDOS, with the shallowest planet boundary layer height of 242 m on 20 November. By contrast, NJOS in the transportation path was more regularly influenced by the southerly flow and presented cyclical PM2.5 concentration. This study shows downdraft in urban environments acting as an accelerator for urban episodic PM2.5 pollution, suggesting the complicated contribution from meteorological factors.</description><identifier>EISSN: 1748-9326</identifier><identifier>DOI: 10.1088/1748-9326/ad1229</identifier><identifier>CODEN: ERLNAL</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>aerosol ; Aerosols ; Air quality ; Boundary layers ; Downdraft ; Evolution ; Haze ; haze transportation ; Lidar ; Particulate matter ; Time lag ; Urban environments ; Wind ; winds</subject><ispartof>Environmental research letters, 2024-01, Vol.19 (1), p.014042</ispartof><rights>2023 The Author(s). Published by IOP Publishing Ltd</rights><rights>2023 The Author(s). Published by IOP Publishing Ltd. This work is published under http://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><orcidid>0000-0003-3544-9134</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2901497506?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590</link.rule.ids></links><search><creatorcontrib>Chen, Zhenyi</creatorcontrib><creatorcontrib>Ji, Chengli</creatorcontrib><creatorcontrib>Mao, Jiajia</creatorcontrib><creatorcontrib>Wang, Zhicheng</creatorcontrib><creatorcontrib>Jiao, Zhiming</creatorcontrib><creatorcontrib>Gao, Lina</creatorcontrib><creatorcontrib>Xiang, Yan</creatorcontrib><creatorcontrib>Zhang, Tianshu</creatorcontrib><title>Downdraft influences on the differences of PM2.5 concentration: insights from a mega haze evolution in the winter of northern China</title><title>Environmental research letters</title><addtitle>ERL</addtitle><addtitle>Environ. Res. Lett</addtitle><description>A significant haze event occurred in northern China from 16 to 21 November 2022. This study analyzed the haze spatial evolution, and meteorological influences by integrating ground and satellite measurements. Most data were obtained using aerosol lidar and wind lidar observations in suburban (Nanjiao Observation Station, NJOS) and urban Beijing (Haidian Observation Station, HDOS). The observations at NJOS and HDOS indicate the presence of a distinct layer of haze restricted to a height of up to 1500 m above the surface. However, the aerosol intensity at HDOS was comparatively lower (aerosol extinction coefficient: 1.39 ± 0.27 km−1) than at NJOS (1.77 ± 0.38 km−1), with approximately one day of time lag in response to the southerly winds. Though NJOS and HDOS presented a similar wind stratification structure, the downdraft under 1000 m influenced the surface air quality were significantly different. The intense downdraft at the lower height at HDOS prevented the vertical upward diffusion of accumulated ground pollutants, whose effect was similar to that of the inversion layer. That led to a more stable increasing trend of PM2.5 at HDOS, with the shallowest planet boundary layer height of 242 m on 20 November. By contrast, NJOS in the transportation path was more regularly influenced by the southerly flow and presented cyclical PM2.5 concentration. This study shows downdraft in urban environments acting as an accelerator for urban episodic PM2.5 pollution, suggesting the complicated contribution from meteorological factors.</description><subject>aerosol</subject><subject>Aerosols</subject><subject>Air quality</subject><subject>Boundary layers</subject><subject>Downdraft</subject><subject>Evolution</subject><subject>Haze</subject><subject>haze transportation</subject><subject>Lidar</subject><subject>Particulate matter</subject><subject>Time lag</subject><subject>Urban environments</subject><subject>Wind</subject><subject>winds</subject><issn>1748-9326</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkU1PGzEQhldIlUiBO0dLHHppgu31ete9VekHSCA4wNma2OPE0cZOvQ5Re-WP4yVRe-lpNK-eeTTSW1WXjM4Y7bpr1opuqmour8EyztVJNfkbnVYfh2FNaSOatptUr9_iPtgELhMfXL_DYHAgMZC8QmK9c5iOkSOP93zWEBPLHnKC7GP4Uq4Gv1zlgbgUNwTIBpdAVvAHCb7EfjdChXnX7X3ImEZTiKkEKZD5ygc4rz446Ae8OM6z6vnH96f5zfTu4eft_Ovd1NaS5qlwopUtZwYpVcCkokwawxswHJEJrphVtgPlbNciq6FZuNoJi8JxvmALU59VtwevjbDW2-Q3kH7rCF6_BzEtNaTsTY9aCQkCqWQLpQSnFqSxBozgFltes664rg6ubYq_djhkvY67FMr7mpfHhGobKgv1-UD5uP0HMKrHmvTYiR470YeaCv7pPzimXjOlmS5aKrjeWle_AWpPlXw</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Chen, Zhenyi</creator><creator>Ji, Chengli</creator><creator>Mao, Jiajia</creator><creator>Wang, Zhicheng</creator><creator>Jiao, Zhiming</creator><creator>Gao, Lina</creator><creator>Xiang, Yan</creator><creator>Zhang, Tianshu</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-3544-9134</orcidid></search><sort><creationdate>20240101</creationdate><title>Downdraft influences on the differences of PM2.5 concentration: insights from a mega haze evolution in the winter of northern China</title><author>Chen, Zhenyi ; Ji, Chengli ; Mao, Jiajia ; Wang, Zhicheng ; Jiao, Zhiming ; Gao, Lina ; Xiang, Yan ; Zhang, Tianshu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-d360t-4f476721ce009a169016cc25ac2ee14291d9d8a9fd87e13a5bf3f4de4f22b1bc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>aerosol</topic><topic>Aerosols</topic><topic>Air quality</topic><topic>Boundary layers</topic><topic>Downdraft</topic><topic>Evolution</topic><topic>Haze</topic><topic>haze transportation</topic><topic>Lidar</topic><topic>Particulate matter</topic><topic>Time lag</topic><topic>Urban environments</topic><topic>Wind</topic><topic>winds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Zhenyi</creatorcontrib><creatorcontrib>Ji, Chengli</creatorcontrib><creatorcontrib>Mao, Jiajia</creatorcontrib><creatorcontrib>Wang, Zhicheng</creatorcontrib><creatorcontrib>Jiao, Zhiming</creatorcontrib><creatorcontrib>Gao, Lina</creatorcontrib><creatorcontrib>Xiang, Yan</creatorcontrib><creatorcontrib>Zhang, Tianshu</creatorcontrib><collection>Open Access: IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Engineering Database</collection><collection>Environmental 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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Environmental research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Zhenyi</au><au>Ji, Chengli</au><au>Mao, Jiajia</au><au>Wang, Zhicheng</au><au>Jiao, Zhiming</au><au>Gao, Lina</au><au>Xiang, Yan</au><au>Zhang, Tianshu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Downdraft influences on the differences of PM2.5 concentration: insights from a mega haze evolution in the winter of northern China</atitle><jtitle>Environmental research letters</jtitle><stitle>ERL</stitle><addtitle>Environ. 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Though NJOS and HDOS presented a similar wind stratification structure, the downdraft under 1000 m influenced the surface air quality were significantly different. The intense downdraft at the lower height at HDOS prevented the vertical upward diffusion of accumulated ground pollutants, whose effect was similar to that of the inversion layer. That led to a more stable increasing trend of PM2.5 at HDOS, with the shallowest planet boundary layer height of 242 m on 20 November. By contrast, NJOS in the transportation path was more regularly influenced by the southerly flow and presented cyclical PM2.5 concentration. 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subjects | aerosol Aerosols Air quality Boundary layers Downdraft Evolution Haze haze transportation Lidar Particulate matter Time lag Urban environments Wind winds |
title | Downdraft influences on the differences of PM2.5 concentration: insights from a mega haze evolution in the winter of northern China |
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