The Influence of Synoptic Weather Patterns on Spatiotemporal Characteristics of Ozone Pollution Across Pearl River Delta of Southern China
Tropospheric ozone (O3) pollution is becoming the primary obstacle to the improvement of air quality in China, especially in the Pearl River Delta (PRD) region. Because O3 pollution episodes are closely related to synoptic weather patterns (SWPs), historical episodes (from 2006 to 2019) were classif...
Gespeichert in:
| Veröffentlicht in: | Journal of geophysical research. Atmospheres 2022-11, Vol.127 (21), p.n/a |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | n/a |
|---|---|
| container_issue | 21 |
| container_start_page | |
| container_title | Journal of geophysical research. Atmospheres |
| container_volume | 127 |
| creator | Chen, Xi Wang, Nan Wang, Gang Wang, Zaihua Chen, Hui Cheng, Chunlei Li, Mei Zheng, Lianming Wu, Liqing Zhang, Qianhua Tang, Mei Huang, Bo Wang, Xuemei Zhou, Zhen |
| description | Tropospheric ozone (O3) pollution is becoming the primary obstacle to the improvement of air quality in China, especially in the Pearl River Delta (PRD) region. Because O3 pollution episodes are closely related to synoptic weather patterns (SWPs), historical episodes (from 2006 to 2019) were classified according to SWPs using the Lamb‐Jenkinson method. Monitoring network and weather reanalysis data, emission inventories, and satellite retrievals were used to investigate the spatiotemporal characteristics and influences of O3 pollution. It was found that easterly (P_E), anticyclone (P_A), and typhoon‐related (P_NE) SWPs accounted for 75% of all O3 pollution episodes. In the PRD, the O3 formation mechanism showed clear differences under different SWPs, which were affected by local emissions under P_A, whereas regional transmission dominated under P_E and P_NE. The O3 peak concentration was strongly associated with temperature, solar radiation, and shifting of the sea‐land breeze. A delayed shift of land to sea breeze caused by SWPs often caused the O3 peak to appear in the late afternoon. Finally, stepwise regression was used to explain individual meteorological parameters contributing to O3 formation. It was found that the formation of O3 pollution under P_E and P_NE was associated with increases in temperature and radiation, while P_A was mainly affected by the increase of the overnight accumulation of O3. This study advances our knowledge of the formation mechanism of O3 pollution and provides scientific support for effective O3 pollution control.
Plain Language Summary
In recent years, tropospheric ozone (O3) has become an important air pollutant hindering the improvement of air quality in the Pearl River Delta (PRD) region, China. In spite of the complicated nonlinear relationship between O3 and its precursor, the variable synoptic weather patterns (SWPs), which control O3 production and transportation, bring troubles to O3 pollution control. To explore the influence of SWPs on spatiotemporal characteristics and internal causes of O3 pollution, we objectively classified the historical episodes (from 2006 to 2019) and analyzed the meteorological factors, transmission paths of pollutants, and O3 pollution characteristics under different SWPs. It was found that easterly (P_E), anticyclone (P_A), and typhoon‐related (P_NE) SWPs were the most common O3 pollution weather systems. Generally, P_A mainly features local emission pollution, the cyclone circulation |
| doi_str_mv | 10.1029/2022JD037121 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2734594932</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2734594932</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3074-62e373968680d650b3073de09e4b9142d0d1a31845fe49a7004f2e4d356ab8a33</originalsourceid><addsrcrecordid>eNp9kM1OAjEUhSdGEwmy8wGauHW0f_PTJQFFCAkEMLqblJk7YUhpx3ZGg4_gU1vAGFd20-b2O-fcnCC4JviOYCruKaZ0MsQsIZScBR1KYhGmQsTnv-_k9TLoObfF_qSY8Yh3gq_VBtBYl6oFnQMyJVrutambKkcvIJsNWDSXTQNWO2Q0WtayqUwDu9pYqdBgI63M_W_lvMId5LNPowHNjVKtJzXq59Y4h-YgrUKL6t0bDkE18hhl2kOC9j6VllfBRSmVg97P3Q2eHx9Wg6dwOhuNB_1pmDOc8DCmwBIm4jROcRFHeO2nrAAsgK8F4bTABZGMpDwqgQuZYMxLCrxgUSzXqWSsG9ycfGtr3lpwTbY1rdU-MqOJb0Vwwainbk_UcX8LZVbbaiftPiM4OxSe_S3c4-yEf1QK9v-y2WS0GEYpFZx9A_UMgd0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2734594932</pqid></control><display><type>article</type><title>The Influence of Synoptic Weather Patterns on Spatiotemporal Characteristics of Ozone Pollution Across Pearl River Delta of Southern China</title><source>Wiley Journals</source><source>Wiley Free Content</source><source>Alma/SFX Local Collection</source><creator>Chen, Xi ; Wang, Nan ; Wang, Gang ; Wang, Zaihua ; Chen, Hui ; Cheng, Chunlei ; Li, Mei ; Zheng, Lianming ; Wu, Liqing ; Zhang, Qianhua ; Tang, Mei ; Huang, Bo ; Wang, Xuemei ; Zhou, Zhen</creator><creatorcontrib>Chen, Xi ; Wang, Nan ; Wang, Gang ; Wang, Zaihua ; Chen, Hui ; Cheng, Chunlei ; Li, Mei ; Zheng, Lianming ; Wu, Liqing ; Zhang, Qianhua ; Tang, Mei ; Huang, Bo ; Wang, Xuemei ; Zhou, Zhen</creatorcontrib><description>Tropospheric ozone (O3) pollution is becoming the primary obstacle to the improvement of air quality in China, especially in the Pearl River Delta (PRD) region. Because O3 pollution episodes are closely related to synoptic weather patterns (SWPs), historical episodes (from 2006 to 2019) were classified according to SWPs using the Lamb‐Jenkinson method. Monitoring network and weather reanalysis data, emission inventories, and satellite retrievals were used to investigate the spatiotemporal characteristics and influences of O3 pollution. It was found that easterly (P_E), anticyclone (P_A), and typhoon‐related (P_NE) SWPs accounted for 75% of all O3 pollution episodes. In the PRD, the O3 formation mechanism showed clear differences under different SWPs, which were affected by local emissions under P_A, whereas regional transmission dominated under P_E and P_NE. The O3 peak concentration was strongly associated with temperature, solar radiation, and shifting of the sea‐land breeze. A delayed shift of land to sea breeze caused by SWPs often caused the O3 peak to appear in the late afternoon. Finally, stepwise regression was used to explain individual meteorological parameters contributing to O3 formation. It was found that the formation of O3 pollution under P_E and P_NE was associated with increases in temperature and radiation, while P_A was mainly affected by the increase of the overnight accumulation of O3. This study advances our knowledge of the formation mechanism of O3 pollution and provides scientific support for effective O3 pollution control.
Plain Language Summary
In recent years, tropospheric ozone (O3) has become an important air pollutant hindering the improvement of air quality in the Pearl River Delta (PRD) region, China. In spite of the complicated nonlinear relationship between O3 and its precursor, the variable synoptic weather patterns (SWPs), which control O3 production and transportation, bring troubles to O3 pollution control. To explore the influence of SWPs on spatiotemporal characteristics and internal causes of O3 pollution, we objectively classified the historical episodes (from 2006 to 2019) and analyzed the meteorological factors, transmission paths of pollutants, and O3 pollution characteristics under different SWPs. It was found that easterly (P_E), anticyclone (P_A), and typhoon‐related (P_NE) SWPs were the most common O3 pollution weather systems. Generally, P_A mainly features local emission pollution, the cyclone circulation is conducive to the accumulation of ozone at night, resulting in high O3 levels on the next day. P_E and P_NE tend to cause regional transmission pollution with unfavored meteorological conditions like the increase in temperature and radiation. Based on the findings, we constructed a multivariate linear regression model which can accurately predict the MDA8 O3 in advance. This study provides a scientific support for O3 pollution control.
Key Points
Historical O3 episodes in the Pearl River Delta are classified according to synoptic weather patterns (SWPs)
The O3 formation mechanism shows clear differences under different SWPs and the dominant parameters are diagnosed
The anticyclone pattern is sensitive to overnight ozone accumulation, while the other patterns are sensitive to meteorological parameters</description><identifier>ISSN: 2169-897X</identifier><identifier>EISSN: 2169-8996</identifier><identifier>DOI: 10.1029/2022JD037121</identifier><language>eng</language><publisher>Washington: Blackwell Publishing Ltd</publisher><subject>Accumulation ; Air ; Air pollution ; Air quality ; Anticyclones ; Cyclonic circulation ; Emission analysis ; Emission inventories ; Emissions ; Geophysics ; Hurricanes ; Land breezes ; Meteorological conditions ; Meteorological parameters ; meterological factors ; O3 pollution ; Ozone ; Pollutants ; Pollution control ; Radiation ; Regression models ; Rivers ; Sea breezes ; Solar radiation ; synoptic weather patterns ; Temperature ; Troposphere ; Tropospheric ozone ; Typhoons ; Weather ; Weather patterns</subject><ispartof>Journal of geophysical research. Atmospheres, 2022-11, Vol.127 (21), p.n/a</ispartof><rights>2022. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3074-62e373968680d650b3073de09e4b9142d0d1a31845fe49a7004f2e4d356ab8a33</citedby><cites>FETCH-LOGICAL-c3074-62e373968680d650b3073de09e4b9142d0d1a31845fe49a7004f2e4d356ab8a33</cites><orcidid>0000-0002-1761-3423 ; 0000-0002-9785-4744 ; 0000-0002-1775-7371 ; 0000-0002-6617-4885</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2022JD037121$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2022JD037121$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,1433,27924,27925,45574,45575,46409,46833</link.rule.ids></links><search><creatorcontrib>Chen, Xi</creatorcontrib><creatorcontrib>Wang, Nan</creatorcontrib><creatorcontrib>Wang, Gang</creatorcontrib><creatorcontrib>Wang, Zaihua</creatorcontrib><creatorcontrib>Chen, Hui</creatorcontrib><creatorcontrib>Cheng, Chunlei</creatorcontrib><creatorcontrib>Li, Mei</creatorcontrib><creatorcontrib>Zheng, Lianming</creatorcontrib><creatorcontrib>Wu, Liqing</creatorcontrib><creatorcontrib>Zhang, Qianhua</creatorcontrib><creatorcontrib>Tang, Mei</creatorcontrib><creatorcontrib>Huang, Bo</creatorcontrib><creatorcontrib>Wang, Xuemei</creatorcontrib><creatorcontrib>Zhou, Zhen</creatorcontrib><title>The Influence of Synoptic Weather Patterns on Spatiotemporal Characteristics of Ozone Pollution Across Pearl River Delta of Southern China</title><title>Journal of geophysical research. Atmospheres</title><description>Tropospheric ozone (O3) pollution is becoming the primary obstacle to the improvement of air quality in China, especially in the Pearl River Delta (PRD) region. Because O3 pollution episodes are closely related to synoptic weather patterns (SWPs), historical episodes (from 2006 to 2019) were classified according to SWPs using the Lamb‐Jenkinson method. Monitoring network and weather reanalysis data, emission inventories, and satellite retrievals were used to investigate the spatiotemporal characteristics and influences of O3 pollution. It was found that easterly (P_E), anticyclone (P_A), and typhoon‐related (P_NE) SWPs accounted for 75% of all O3 pollution episodes. In the PRD, the O3 formation mechanism showed clear differences under different SWPs, which were affected by local emissions under P_A, whereas regional transmission dominated under P_E and P_NE. The O3 peak concentration was strongly associated with temperature, solar radiation, and shifting of the sea‐land breeze. A delayed shift of land to sea breeze caused by SWPs often caused the O3 peak to appear in the late afternoon. Finally, stepwise regression was used to explain individual meteorological parameters contributing to O3 formation. It was found that the formation of O3 pollution under P_E and P_NE was associated with increases in temperature and radiation, while P_A was mainly affected by the increase of the overnight accumulation of O3. This study advances our knowledge of the formation mechanism of O3 pollution and provides scientific support for effective O3 pollution control.
Plain Language Summary
In recent years, tropospheric ozone (O3) has become an important air pollutant hindering the improvement of air quality in the Pearl River Delta (PRD) region, China. In spite of the complicated nonlinear relationship between O3 and its precursor, the variable synoptic weather patterns (SWPs), which control O3 production and transportation, bring troubles to O3 pollution control. To explore the influence of SWPs on spatiotemporal characteristics and internal causes of O3 pollution, we objectively classified the historical episodes (from 2006 to 2019) and analyzed the meteorological factors, transmission paths of pollutants, and O3 pollution characteristics under different SWPs. It was found that easterly (P_E), anticyclone (P_A), and typhoon‐related (P_NE) SWPs were the most common O3 pollution weather systems. Generally, P_A mainly features local emission pollution, the cyclone circulation is conducive to the accumulation of ozone at night, resulting in high O3 levels on the next day. P_E and P_NE tend to cause regional transmission pollution with unfavored meteorological conditions like the increase in temperature and radiation. Based on the findings, we constructed a multivariate linear regression model which can accurately predict the MDA8 O3 in advance. This study provides a scientific support for O3 pollution control.
Key Points
Historical O3 episodes in the Pearl River Delta are classified according to synoptic weather patterns (SWPs)
The O3 formation mechanism shows clear differences under different SWPs and the dominant parameters are diagnosed
The anticyclone pattern is sensitive to overnight ozone accumulation, while the other patterns are sensitive to meteorological parameters</description><subject>Accumulation</subject><subject>Air</subject><subject>Air pollution</subject><subject>Air quality</subject><subject>Anticyclones</subject><subject>Cyclonic circulation</subject><subject>Emission analysis</subject><subject>Emission inventories</subject><subject>Emissions</subject><subject>Geophysics</subject><subject>Hurricanes</subject><subject>Land breezes</subject><subject>Meteorological conditions</subject><subject>Meteorological parameters</subject><subject>meterological factors</subject><subject>O3 pollution</subject><subject>Ozone</subject><subject>Pollutants</subject><subject>Pollution control</subject><subject>Radiation</subject><subject>Regression models</subject><subject>Rivers</subject><subject>Sea breezes</subject><subject>Solar radiation</subject><subject>synoptic weather patterns</subject><subject>Temperature</subject><subject>Troposphere</subject><subject>Tropospheric ozone</subject><subject>Typhoons</subject><subject>Weather</subject><subject>Weather patterns</subject><issn>2169-897X</issn><issn>2169-8996</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kM1OAjEUhSdGEwmy8wGauHW0f_PTJQFFCAkEMLqblJk7YUhpx3ZGg4_gU1vAGFd20-b2O-fcnCC4JviOYCruKaZ0MsQsIZScBR1KYhGmQsTnv-_k9TLoObfF_qSY8Yh3gq_VBtBYl6oFnQMyJVrutambKkcvIJsNWDSXTQNWO2Q0WtayqUwDu9pYqdBgI63M_W_lvMId5LNPowHNjVKtJzXq59Y4h-YgrUKL6t0bDkE18hhl2kOC9j6VllfBRSmVg97P3Q2eHx9Wg6dwOhuNB_1pmDOc8DCmwBIm4jROcRFHeO2nrAAsgK8F4bTABZGMpDwqgQuZYMxLCrxgUSzXqWSsG9ycfGtr3lpwTbY1rdU-MqOJb0Vwwainbk_UcX8LZVbbaiftPiM4OxSe_S3c4-yEf1QK9v-y2WS0GEYpFZx9A_UMgd0</recordid><startdate>20221116</startdate><enddate>20221116</enddate><creator>Chen, Xi</creator><creator>Wang, Nan</creator><creator>Wang, Gang</creator><creator>Wang, Zaihua</creator><creator>Chen, Hui</creator><creator>Cheng, Chunlei</creator><creator>Li, Mei</creator><creator>Zheng, Lianming</creator><creator>Wu, Liqing</creator><creator>Zhang, Qianhua</creator><creator>Tang, Mei</creator><creator>Huang, Bo</creator><creator>Wang, Xuemei</creator><creator>Zhou, Zhen</creator><general>Blackwell Publishing Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-1761-3423</orcidid><orcidid>https://orcid.org/0000-0002-9785-4744</orcidid><orcidid>https://orcid.org/0000-0002-1775-7371</orcidid><orcidid>https://orcid.org/0000-0002-6617-4885</orcidid></search><sort><creationdate>20221116</creationdate><title>The Influence of Synoptic Weather Patterns on Spatiotemporal Characteristics of Ozone Pollution Across Pearl River Delta of Southern China</title><author>Chen, Xi ; Wang, Nan ; Wang, Gang ; Wang, Zaihua ; Chen, Hui ; Cheng, Chunlei ; Li, Mei ; Zheng, Lianming ; Wu, Liqing ; Zhang, Qianhua ; Tang, Mei ; Huang, Bo ; Wang, Xuemei ; Zhou, Zhen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3074-62e373968680d650b3073de09e4b9142d0d1a31845fe49a7004f2e4d356ab8a33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Accumulation</topic><topic>Air</topic><topic>Air pollution</topic><topic>Air quality</topic><topic>Anticyclones</topic><topic>Cyclonic circulation</topic><topic>Emission analysis</topic><topic>Emission inventories</topic><topic>Emissions</topic><topic>Geophysics</topic><topic>Hurricanes</topic><topic>Land breezes</topic><topic>Meteorological conditions</topic><topic>Meteorological parameters</topic><topic>meterological factors</topic><topic>O3 pollution</topic><topic>Ozone</topic><topic>Pollutants</topic><topic>Pollution control</topic><topic>Radiation</topic><topic>Regression models</topic><topic>Rivers</topic><topic>Sea breezes</topic><topic>Solar radiation</topic><topic>synoptic weather patterns</topic><topic>Temperature</topic><topic>Troposphere</topic><topic>Tropospheric ozone</topic><topic>Typhoons</topic><topic>Weather</topic><topic>Weather patterns</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Xi</creatorcontrib><creatorcontrib>Wang, Nan</creatorcontrib><creatorcontrib>Wang, Gang</creatorcontrib><creatorcontrib>Wang, Zaihua</creatorcontrib><creatorcontrib>Chen, Hui</creatorcontrib><creatorcontrib>Cheng, Chunlei</creatorcontrib><creatorcontrib>Li, Mei</creatorcontrib><creatorcontrib>Zheng, Lianming</creatorcontrib><creatorcontrib>Wu, Liqing</creatorcontrib><creatorcontrib>Zhang, Qianhua</creatorcontrib><creatorcontrib>Tang, Mei</creatorcontrib><creatorcontrib>Huang, Bo</creatorcontrib><creatorcontrib>Wang, Xuemei</creatorcontrib><creatorcontrib>Zhou, Zhen</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of geophysical research. Atmospheres</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Xi</au><au>Wang, Nan</au><au>Wang, Gang</au><au>Wang, Zaihua</au><au>Chen, Hui</au><au>Cheng, Chunlei</au><au>Li, Mei</au><au>Zheng, Lianming</au><au>Wu, Liqing</au><au>Zhang, Qianhua</au><au>Tang, Mei</au><au>Huang, Bo</au><au>Wang, Xuemei</au><au>Zhou, Zhen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Influence of Synoptic Weather Patterns on Spatiotemporal Characteristics of Ozone Pollution Across Pearl River Delta of Southern China</atitle><jtitle>Journal of geophysical research. Atmospheres</jtitle><date>2022-11-16</date><risdate>2022</risdate><volume>127</volume><issue>21</issue><epage>n/a</epage><issn>2169-897X</issn><eissn>2169-8996</eissn><abstract>Tropospheric ozone (O3) pollution is becoming the primary obstacle to the improvement of air quality in China, especially in the Pearl River Delta (PRD) region. Because O3 pollution episodes are closely related to synoptic weather patterns (SWPs), historical episodes (from 2006 to 2019) were classified according to SWPs using the Lamb‐Jenkinson method. Monitoring network and weather reanalysis data, emission inventories, and satellite retrievals were used to investigate the spatiotemporal characteristics and influences of O3 pollution. It was found that easterly (P_E), anticyclone (P_A), and typhoon‐related (P_NE) SWPs accounted for 75% of all O3 pollution episodes. In the PRD, the O3 formation mechanism showed clear differences under different SWPs, which were affected by local emissions under P_A, whereas regional transmission dominated under P_E and P_NE. The O3 peak concentration was strongly associated with temperature, solar radiation, and shifting of the sea‐land breeze. A delayed shift of land to sea breeze caused by SWPs often caused the O3 peak to appear in the late afternoon. Finally, stepwise regression was used to explain individual meteorological parameters contributing to O3 formation. It was found that the formation of O3 pollution under P_E and P_NE was associated with increases in temperature and radiation, while P_A was mainly affected by the increase of the overnight accumulation of O3. This study advances our knowledge of the formation mechanism of O3 pollution and provides scientific support for effective O3 pollution control.
Plain Language Summary
In recent years, tropospheric ozone (O3) has become an important air pollutant hindering the improvement of air quality in the Pearl River Delta (PRD) region, China. In spite of the complicated nonlinear relationship between O3 and its precursor, the variable synoptic weather patterns (SWPs), which control O3 production and transportation, bring troubles to O3 pollution control. To explore the influence of SWPs on spatiotemporal characteristics and internal causes of O3 pollution, we objectively classified the historical episodes (from 2006 to 2019) and analyzed the meteorological factors, transmission paths of pollutants, and O3 pollution characteristics under different SWPs. It was found that easterly (P_E), anticyclone (P_A), and typhoon‐related (P_NE) SWPs were the most common O3 pollution weather systems. Generally, P_A mainly features local emission pollution, the cyclone circulation is conducive to the accumulation of ozone at night, resulting in high O3 levels on the next day. P_E and P_NE tend to cause regional transmission pollution with unfavored meteorological conditions like the increase in temperature and radiation. Based on the findings, we constructed a multivariate linear regression model which can accurately predict the MDA8 O3 in advance. This study provides a scientific support for O3 pollution control.
Key Points
Historical O3 episodes in the Pearl River Delta are classified according to synoptic weather patterns (SWPs)
The O3 formation mechanism shows clear differences under different SWPs and the dominant parameters are diagnosed
The anticyclone pattern is sensitive to overnight ozone accumulation, while the other patterns are sensitive to meteorological parameters</abstract><cop>Washington</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2022JD037121</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0002-1761-3423</orcidid><orcidid>https://orcid.org/0000-0002-9785-4744</orcidid><orcidid>https://orcid.org/0000-0002-1775-7371</orcidid><orcidid>https://orcid.org/0000-0002-6617-4885</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2169-897X |
| ispartof | Journal of geophysical research. Atmospheres, 2022-11, Vol.127 (21), p.n/a |
| issn | 2169-897X 2169-8996 |
| language | eng |
| recordid | cdi_proquest_journals_2734594932 |
| source | Wiley Journals; Wiley Free Content; Alma/SFX Local Collection |
| subjects | Accumulation Air Air pollution Air quality Anticyclones Cyclonic circulation Emission analysis Emission inventories Emissions Geophysics Hurricanes Land breezes Meteorological conditions Meteorological parameters meterological factors O3 pollution Ozone Pollutants Pollution control Radiation Regression models Rivers Sea breezes Solar radiation synoptic weather patterns Temperature Troposphere Tropospheric ozone Typhoons Weather Weather patterns |
| title | The Influence of Synoptic Weather Patterns on Spatiotemporal Characteristics of Ozone Pollution Across Pearl River Delta of Southern China |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T14%3A32%3A51IST&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=The%20Influence%20of%20Synoptic%20Weather%20Patterns%20on%20Spatiotemporal%20Characteristics%20of%20Ozone%20Pollution%20Across%20Pearl%20River%20Delta%20of%20Southern%20China&rft.jtitle=Journal%20of%20geophysical%20research.%20Atmospheres&rft.au=Chen,%20Xi&rft.date=2022-11-16&rft.volume=127&rft.issue=21&rft.epage=n/a&rft.issn=2169-897X&rft.eissn=2169-8996&rft_id=info:doi/10.1029/2022JD037121&rft_dat=%3Cproquest_cross%3E2734594932%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=2734594932&rft_id=info:pmid/&rfr_iscdi=true |