Spatiotemporal variations of PM2.5 pollution and its dynamic relationships with meteorological conditions in Beijing-Tianjin-Hebei region

Identifying the effects of meteorological conditions on PM2.5 pollution is of great significance to explore methods to reduce atmospheric pollution. This study attempts to analyze the spatiotemporal variations of PM2.5 pollution and its dynamic nexus with meteorological factors in the Beijing-Tianji...

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Published inChemosphere (Oxford) Vol. 301; p. 134640
Main Authors Deng, Chuxiong, Qin, Chunyan, Li, Zhongwu, Li, Ke
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.08.2022
Subjects
air pollution
air pollution control
BTH region
China
Dynamic effects
Meteorological conditions
Panel VAR
PM2.5
relative humidity
solar radiation
standard deviation
temperature
wind speed
China
BTH region
Dynamic effects
Panel VAR
PM2.5
Meteorological conditions
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Abstract Identifying the effects of meteorological conditions on PM2.5 pollution is of great significance to explore methods to reduce atmospheric pollution. This study attempts to analyze the spatiotemporal variations of PM2.5 pollution and its dynamic nexus with meteorological factors in the Beijing-Tianjin-Hebei (BTH) region from 2015 to 2020 using standard deviation ellipse (SDE) and panel vector autoregressive (PVAR) model. The results indicate that: (1) In 2015–2020, PM2.5 pollution decreased significantly, indicating air pollution control policies in China have taken effect; Also, it showed a cumulative effect, or there was the path dependence of air pollution. (2) PM2.5 pollution presented a distribution pattern from northeast to southwest, while the directionality of air pollution has weakened. Based on SDE, PM2.5 pollution in Cangzhou can reflect the average level in the BTH; (3) Meteorological conditions exhibited a lagged and sustained effect on PM2.5 pollution. Specifically, the effects of meteorological factors on PM2.5 presented disequilibrium over time. In the long run, precipitation and temperature mainly showed negative impacts on PM2.5 pollution, while wind speed, relative humidity and sunshine duration aggravated PM2.5 pollution in the BTH. This study contributes to extending the study on the spatiotemporal evolution of PM2.5 pollution and its links with meteorological conditions. [Display omitted] •PM2.5 decreased significantly on multiple time scales in BTH from 2015 to 2020.•The effects of meteorological conditions on PM2.5 were examined in BTH.•Panel VAR model was adopted to explore the effects from a dynamic perspective.•PM2.5 showed a cumulative effect, existing the path dependence of air pollution.•Meteorological factors exhibited a lagged and sustained effect on PM2.5.
AbstractList Identifying the effects of meteorological conditions on PM₂.₅ pollution is of great significance to explore methods to reduce atmospheric pollution. This study attempts to analyze the spatiotemporal variations of PM₂.₅ pollution and its dynamic nexus with meteorological factors in the Beijing-Tianjin-Hebei (BTH) region from 2015 to 2020 using standard deviation ellipse (SDE) and panel vector autoregressive (PVAR) model. The results indicate that: (1) In 2015–2020, PM₂.₅ pollution decreased significantly, indicating air pollution control policies in China have taken effect; Also, it showed a cumulative effect, or there was the path dependence of air pollution. (2) PM₂.₅ pollution presented a distribution pattern from northeast to southwest, while the directionality of air pollution has weakened. Based on SDE, PM₂.₅ pollution in Cangzhou can reflect the average level in the BTH; (3) Meteorological conditions exhibited a lagged and sustained effect on PM₂.₅ pollution. Specifically, the effects of meteorological factors on PM₂.₅ presented disequilibrium over time. In the long run, precipitation and temperature mainly showed negative impacts on PM₂.₅ pollution, while wind speed, relative humidity and sunshine duration aggravated PM₂.₅ pollution in the BTH. This study contributes to extending the study on the spatiotemporal evolution of PM₂.₅ pollution and its links with meteorological conditions.
Identifying the effects of meteorological conditions on PM2.5 pollution is of great significance to explore methods to reduce atmospheric pollution. This study attempts to analyze the spatiotemporal variations of PM2.5 pollution and its dynamic nexus with meteorological factors in the Beijing-Tianjin-Hebei (BTH) region from 2015 to 2020 using standard deviation ellipse (SDE) and panel vector autoregressive (PVAR) model. The results indicate that: (1) In 2015-2020, PM2.5 pollution decreased significantly, indicating air pollution control policies in China have taken effect; Also, it showed a cumulative effect, or there was the path dependence of air pollution. (2) PM2.5 pollution presented a distribution pattern from northeast to southwest, while the directionality of air pollution has weakened. Based on SDE, PM2.5 pollution in Cangzhou can reflect the average level in the BTH; (3) Meteorological conditions exhibited a lagged and sustained effect on PM2.5 pollution. Specifically, the effects of meteorological factors on PM2.5 presented disequilibrium over time. In the long run, precipitation and temperature mainly showed negative impacts on PM2.5 pollution, while wind speed, relative humidity and sunshine duration aggravated PM2.5 pollution in the BTH. This study contributes to extending the study on the spatiotemporal evolution of PM2.5 pollution and its links with meteorological conditions.Identifying the effects of meteorological conditions on PM2.5 pollution is of great significance to explore methods to reduce atmospheric pollution. This study attempts to analyze the spatiotemporal variations of PM2.5 pollution and its dynamic nexus with meteorological factors in the Beijing-Tianjin-Hebei (BTH) region from 2015 to 2020 using standard deviation ellipse (SDE) and panel vector autoregressive (PVAR) model. The results indicate that: (1) In 2015-2020, PM2.5 pollution decreased significantly, indicating air pollution control policies in China have taken effect; Also, it showed a cumulative effect, or there was the path dependence of air pollution. (2) PM2.5 pollution presented a distribution pattern from northeast to southwest, while the directionality of air pollution has weakened. Based on SDE, PM2.5 pollution in Cangzhou can reflect the average level in the BTH; (3) Meteorological conditions exhibited a lagged and sustained effect on PM2.5 pollution. Specifically, the effects of meteorological factors on PM2.5 presented disequilibrium over time. In the long run, precipitation and temperature mainly showed negative impacts on PM2.5 pollution, while wind speed, relative humidity and sunshine duration aggravated PM2.5 pollution in the BTH. This study contributes to extending the study on the spatiotemporal evolution of PM2.5 pollution and its links with meteorological conditions.
Identifying the effects of meteorological conditions on PM2.5 pollution is of great significance to explore methods to reduce atmospheric pollution. This study attempts to analyze the spatiotemporal variations of PM2.5 pollution and its dynamic nexus with meteorological factors in the Beijing-Tianjin-Hebei (BTH) region from 2015 to 2020 using standard deviation ellipse (SDE) and panel vector autoregressive (PVAR) model. The results indicate that: (1) In 2015–2020, PM2.5 pollution decreased significantly, indicating air pollution control policies in China have taken effect; Also, it showed a cumulative effect, or there was the path dependence of air pollution. (2) PM2.5 pollution presented a distribution pattern from northeast to southwest, while the directionality of air pollution has weakened. Based on SDE, PM2.5 pollution in Cangzhou can reflect the average level in the BTH; (3) Meteorological conditions exhibited a lagged and sustained effect on PM2.5 pollution. Specifically, the effects of meteorological factors on PM2.5 presented disequilibrium over time. In the long run, precipitation and temperature mainly showed negative impacts on PM2.5 pollution, while wind speed, relative humidity and sunshine duration aggravated PM2.5 pollution in the BTH. This study contributes to extending the study on the spatiotemporal evolution of PM2.5 pollution and its links with meteorological conditions. [Display omitted] •PM2.5 decreased significantly on multiple time scales in BTH from 2015 to 2020.•The effects of meteorological conditions on PM2.5 were examined in BTH.•Panel VAR model was adopted to explore the effects from a dynamic perspective.•PM2.5 showed a cumulative effect, existing the path dependence of air pollution.•Meteorological factors exhibited a lagged and sustained effect on PM2.5.
ArticleNumber 134640
Author Li, Zhongwu
Qin, Chunyan
Deng, Chuxiong
Li, Ke
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– sequence: 2
  givenname: Chunyan
  surname: Qin
  fullname: Qin, Chunyan
  email: qc32572@163.com
  organization: School of Geographic Sciences, Hunan Normal University, Changsha, Hunan, 410081, PR China
– sequence: 3
  givenname: Zhongwu
  surname: Li
  fullname: Li, Zhongwu
  email: lzw17002@hunnu.edu.cn
  organization: School of Geographic Sciences, Hunan Normal University, Changsha, Hunan, 410081, PR China
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  givenname: Ke
  orcidid: 0000-0002-1314-7293
  surname: Li
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  email: like@hunnu.edu.cn
  organization: School of Mathematics & Statistics, Hunan Normal University, Changsha, Hunan, 410081, PR China
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Snippet Identifying the effects of meteorological conditions on PM2.5 pollution is of great significance to explore methods to reduce atmospheric pollution. This study...
Identifying the effects of meteorological conditions on PM₂.₅ pollution is of great significance to explore methods to reduce atmospheric pollution. This study...
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SubjectTerms air pollution
air pollution control
BTH region
China
Dynamic effects
Meteorological conditions
Panel VAR
PM2.5
relative humidity
solar radiation
standard deviation
temperature
wind speed
Title Spatiotemporal variations of PM2.5 pollution and its dynamic relationships with meteorological conditions in Beijing-Tianjin-Hebei region
URI https://dx.doi.org/10.1016/j.chemosphere.2022.134640
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