Cargando…
Spatiotemporal characterization of aerosols and trace gases over the Yangtze River Delta region, China: impact of trans-boundary pollution and meteorology
BACKGROUND: The spatiotemporal variation of observed trace gases (NO(2), SO(2), O(3)) and particulate matter (PM(2.5), PM(10)) were investigated over cities of Yangtze River Delta (YRD) region including Nanjing, Hefei, Shanghai and Hangzhou. Furthermore, the characteristics of different pollution ep...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453706/ https://www.ncbi.nlm.nih.gov/pubmed/36097441 http://dx.doi.org/10.1186/s12302-022-00668-2 |
_version_ | 1784785197041975296 |
---|---|
author | Javed, Zeeshan Bilal, Muhammad Qiu, Zhongfeng Li, Guanlin Sandhu, Osama Mehmood, Khalid Wang, Yu Ali, Md. Arfan Liu, Cheng Wang, Yuhang Xue, Ruibin Du, Daolin Zheng, Xiaojun |
author_facet | Javed, Zeeshan Bilal, Muhammad Qiu, Zhongfeng Li, Guanlin Sandhu, Osama Mehmood, Khalid Wang, Yu Ali, Md. Arfan Liu, Cheng Wang, Yuhang Xue, Ruibin Du, Daolin Zheng, Xiaojun |
author_sort | Javed, Zeeshan |
collection | PubMed |
description | BACKGROUND: The spatiotemporal variation of observed trace gases (NO(2), SO(2), O(3)) and particulate matter (PM(2.5), PM(10)) were investigated over cities of Yangtze River Delta (YRD) region including Nanjing, Hefei, Shanghai and Hangzhou. Furthermore, the characteristics of different pollution episodes, i.e., haze events (visibility < 7 km, relative humidity < 80%, and PM(2.5) > 40 µg/m(3)) and complex pollution episodes (PM(2.5) > 35 µg/m(3) and O(3) > 160 µg/m(3)) were studied over the cities of the YRD region. The impact of China clean air action plan on concentration of aerosols and trace gases is examined. The impacts of trans-boundary pollution and different meteorological conditions were also examined. RESULTS: The highest annual mean concentrations of PM(2.5), PM(10), NO(2) and O(3) were found for 2019 over all the cities. The annual mean concentrations of PM(2.5), PM(10), and NO(2) showed continuous declines from 2019 to 2021 due to emission control measures and implementation of the Clean Air Action plan over all the cities of the YRD region. The annual mean O(3) levels showed a decline in 2020 over all the cities of YRD region, which is unprecedented since the beginning of the China’s National environmental monitoring program since 2013. However, a slight increase in annual O(3) was observed in 2021. The highest overall means of PM(2.5), PM(10), SO(2), and NO(2) were observed over Hefei, whereas the highest O(3) levels were found in Nanjing. Despite the strict control measures, PM(2.5) and PM(10) concentrations exceeded the Grade-1 National Ambient Air Quality Standards (NAAQS) and WHO (World Health Organization) guidelines over all the cities of the YRD region. The number of haze days was higher in Hefei and Nanjing, whereas the complex pollution episodes or concurrent occurrence of O(3) and PM(2.5) pollution days were higher in Hangzhou and Shanghai. The in situ data for SO(2) and NO(2) showed strong correlation with Tropospheric Monitoring Instrument (TROPOMI) satellite data. CONCLUSIONS: Despite the observed reductions in primary pollutants concentrations, the secondary pollutants formation is still a concern for major metropolises. The increase in temperature and lower relative humidity favors the accumulation of O(3), while low temperature, low wind speeds and lower relative humidity favor the accumulation of primary pollutants. This study depicts different air pollution problems for different cities inside a region. Therefore, there is a dire need to continuous monitoring and analysis of air quality parameters and design city-specific policies and action plans to effectively deal with the metropolitan pollution. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12302-022-00668-2. |
format | Online Article Text |
id | pubmed-9453706 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-94537062022-09-08 Spatiotemporal characterization of aerosols and trace gases over the Yangtze River Delta region, China: impact of trans-boundary pollution and meteorology Javed, Zeeshan Bilal, Muhammad Qiu, Zhongfeng Li, Guanlin Sandhu, Osama Mehmood, Khalid Wang, Yu Ali, Md. Arfan Liu, Cheng Wang, Yuhang Xue, Ruibin Du, Daolin Zheng, Xiaojun Environ Sci Eur Research BACKGROUND: The spatiotemporal variation of observed trace gases (NO(2), SO(2), O(3)) and particulate matter (PM(2.5), PM(10)) were investigated over cities of Yangtze River Delta (YRD) region including Nanjing, Hefei, Shanghai and Hangzhou. Furthermore, the characteristics of different pollution episodes, i.e., haze events (visibility < 7 km, relative humidity < 80%, and PM(2.5) > 40 µg/m(3)) and complex pollution episodes (PM(2.5) > 35 µg/m(3) and O(3) > 160 µg/m(3)) were studied over the cities of the YRD region. The impact of China clean air action plan on concentration of aerosols and trace gases is examined. The impacts of trans-boundary pollution and different meteorological conditions were also examined. RESULTS: The highest annual mean concentrations of PM(2.5), PM(10), NO(2) and O(3) were found for 2019 over all the cities. The annual mean concentrations of PM(2.5), PM(10), and NO(2) showed continuous declines from 2019 to 2021 due to emission control measures and implementation of the Clean Air Action plan over all the cities of the YRD region. The annual mean O(3) levels showed a decline in 2020 over all the cities of YRD region, which is unprecedented since the beginning of the China’s National environmental monitoring program since 2013. However, a slight increase in annual O(3) was observed in 2021. The highest overall means of PM(2.5), PM(10), SO(2), and NO(2) were observed over Hefei, whereas the highest O(3) levels were found in Nanjing. Despite the strict control measures, PM(2.5) and PM(10) concentrations exceeded the Grade-1 National Ambient Air Quality Standards (NAAQS) and WHO (World Health Organization) guidelines over all the cities of the YRD region. The number of haze days was higher in Hefei and Nanjing, whereas the complex pollution episodes or concurrent occurrence of O(3) and PM(2.5) pollution days were higher in Hangzhou and Shanghai. The in situ data for SO(2) and NO(2) showed strong correlation with Tropospheric Monitoring Instrument (TROPOMI) satellite data. CONCLUSIONS: Despite the observed reductions in primary pollutants concentrations, the secondary pollutants formation is still a concern for major metropolises. The increase in temperature and lower relative humidity favors the accumulation of O(3), while low temperature, low wind speeds and lower relative humidity favor the accumulation of primary pollutants. This study depicts different air pollution problems for different cities inside a region. Therefore, there is a dire need to continuous monitoring and analysis of air quality parameters and design city-specific policies and action plans to effectively deal with the metropolitan pollution. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12302-022-00668-2. Springer Berlin Heidelberg 2022-09-08 2022 /pmc/articles/PMC9453706/ /pubmed/36097441 http://dx.doi.org/10.1186/s12302-022-00668-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Javed, Zeeshan Bilal, Muhammad Qiu, Zhongfeng Li, Guanlin Sandhu, Osama Mehmood, Khalid Wang, Yu Ali, Md. Arfan Liu, Cheng Wang, Yuhang Xue, Ruibin Du, Daolin Zheng, Xiaojun Spatiotemporal characterization of aerosols and trace gases over the Yangtze River Delta region, China: impact of trans-boundary pollution and meteorology |
title | Spatiotemporal characterization of aerosols and trace gases over the Yangtze River Delta region, China: impact of trans-boundary pollution and meteorology |
title_full | Spatiotemporal characterization of aerosols and trace gases over the Yangtze River Delta region, China: impact of trans-boundary pollution and meteorology |
title_fullStr | Spatiotemporal characterization of aerosols and trace gases over the Yangtze River Delta region, China: impact of trans-boundary pollution and meteorology |
title_full_unstemmed | Spatiotemporal characterization of aerosols and trace gases over the Yangtze River Delta region, China: impact of trans-boundary pollution and meteorology |
title_short | Spatiotemporal characterization of aerosols and trace gases over the Yangtze River Delta region, China: impact of trans-boundary pollution and meteorology |
title_sort | spatiotemporal characterization of aerosols and trace gases over the yangtze river delta region, china: impact of trans-boundary pollution and meteorology |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453706/ https://www.ncbi.nlm.nih.gov/pubmed/36097441 http://dx.doi.org/10.1186/s12302-022-00668-2 |
work_keys_str_mv | AT javedzeeshan spatiotemporalcharacterizationofaerosolsandtracegasesovertheyangtzeriverdeltaregionchinaimpactoftransboundarypollutionandmeteorology AT bilalmuhammad spatiotemporalcharacterizationofaerosolsandtracegasesovertheyangtzeriverdeltaregionchinaimpactoftransboundarypollutionandmeteorology AT qiuzhongfeng spatiotemporalcharacterizationofaerosolsandtracegasesovertheyangtzeriverdeltaregionchinaimpactoftransboundarypollutionandmeteorology AT liguanlin spatiotemporalcharacterizationofaerosolsandtracegasesovertheyangtzeriverdeltaregionchinaimpactoftransboundarypollutionandmeteorology AT sandhuosama spatiotemporalcharacterizationofaerosolsandtracegasesovertheyangtzeriverdeltaregionchinaimpactoftransboundarypollutionandmeteorology AT mehmoodkhalid spatiotemporalcharacterizationofaerosolsandtracegasesovertheyangtzeriverdeltaregionchinaimpactoftransboundarypollutionandmeteorology AT wangyu spatiotemporalcharacterizationofaerosolsandtracegasesovertheyangtzeriverdeltaregionchinaimpactoftransboundarypollutionandmeteorology AT alimdarfan spatiotemporalcharacterizationofaerosolsandtracegasesovertheyangtzeriverdeltaregionchinaimpactoftransboundarypollutionandmeteorology AT liucheng spatiotemporalcharacterizationofaerosolsandtracegasesovertheyangtzeriverdeltaregionchinaimpactoftransboundarypollutionandmeteorology AT wangyuhang spatiotemporalcharacterizationofaerosolsandtracegasesovertheyangtzeriverdeltaregionchinaimpactoftransboundarypollutionandmeteorology AT xueruibin spatiotemporalcharacterizationofaerosolsandtracegasesovertheyangtzeriverdeltaregionchinaimpactoftransboundarypollutionandmeteorology AT dudaolin spatiotemporalcharacterizationofaerosolsandtracegasesovertheyangtzeriverdeltaregionchinaimpactoftransboundarypollutionandmeteorology AT zhengxiaojun spatiotemporalcharacterizationofaerosolsandtracegasesovertheyangtzeriverdeltaregionchinaimpactoftransboundarypollutionandmeteorology |