Spatiotemporal Relationships between Air Quality and Multiple Meteorological Parameters in 221 Chinese Cities
Air quality in China is characterized by significant spatial and temporal differences, which are directly related to local meteorological conditions. This study used air quality monitoring data, namely, the air pollution index (API) and air quality index (AQI) between 2005 and 2018, together with me...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/6829142 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832566616972328960 |
|---|---|
| author | Mengyi Ji Yuying Jiang Xiping Han Luo Liu Xinliang Xu Zhi Qiao Wei Sun |
| author_facet | Mengyi Ji Yuying Jiang Xiping Han Luo Liu Xinliang Xu Zhi Qiao Wei Sun |
| author_sort | Mengyi Ji |
| collection | DOAJ |
| description | Air quality in China is characterized by significant spatial and temporal differences, which are directly related to local meteorological conditions. This study used air quality monitoring data, namely, the air pollution index (API) and air quality index (AQI) between 2005 and 2018, together with meteorological data and identified key meteorological factors that affected the spatial and temporal variation of air quality using a random forest algorithm. The spatial and temporal differences in the threshold values of different meteorological factors affecting the concentrations of PM2.5, PM10, SO2, CO, NO2, and O3 were identified. The AQI has the advantages of facilitating higher index values than the API. The air quality showed an improvement from 2005 to 2018. Wind direction and precipitation were the most important meteorological factors affecting the air quality in northern and southern China, respectively, which to some extent reflected the causes and degradation mechanisms of air pollution in the two regions. There were significant spatial and temporal differences in the effects of meteorological factors on the concentrations of different pollutants. The influence of atmospheric pressure on pollutant concentration differed between the east and west. Precipitation and relative humidity in most cities had significant impacts on PM2.5 and PM10. The influence of relative humidity was most significant for SO2 and it also had a great influence on O3, while wind speed had a great influence on NO2. The results of the study confirm the meteorological sensitivity of air quality and provide support for the implementation of regional air pollution prevention and control initiatives. |
| format | Article |
| id | doaj-art-641ccc7ef8724f4285b89c8c4599bbb9 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-641ccc7ef8724f4285b89c8c4599bbb92025-02-03T01:03:40ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/68291426829142Spatiotemporal Relationships between Air Quality and Multiple Meteorological Parameters in 221 Chinese CitiesMengyi Ji0Yuying Jiang1Xiping Han2Luo Liu3Xinliang Xu4Zhi Qiao5Wei Sun6Key Laboratory of Indoor Air Environment Quality Control, School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, ChinaKey Laboratory of Indoor Air Environment Quality Control, School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, ChinaKey Laboratory of Indoor Air Environment Quality Control, School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, ChinaGuangdong Province Key Laboratory for Land Use and Consolidation, South China Agricultural University, Guangzhou 510642, ChinaState Key Laboratory of Resources and Environmental Information Systems, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Indoor Air Environment Quality Control, School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, ChinaNanjing Institute of Geography and Limnology, Key Laboratory of Watershed Geographic Sciences, Chinese Academy of Sciences, Nanjing 210008, ChinaAir quality in China is characterized by significant spatial and temporal differences, which are directly related to local meteorological conditions. This study used air quality monitoring data, namely, the air pollution index (API) and air quality index (AQI) between 2005 and 2018, together with meteorological data and identified key meteorological factors that affected the spatial and temporal variation of air quality using a random forest algorithm. The spatial and temporal differences in the threshold values of different meteorological factors affecting the concentrations of PM2.5, PM10, SO2, CO, NO2, and O3 were identified. The AQI has the advantages of facilitating higher index values than the API. The air quality showed an improvement from 2005 to 2018. Wind direction and precipitation were the most important meteorological factors affecting the air quality in northern and southern China, respectively, which to some extent reflected the causes and degradation mechanisms of air pollution in the two regions. There were significant spatial and temporal differences in the effects of meteorological factors on the concentrations of different pollutants. The influence of atmospheric pressure on pollutant concentration differed between the east and west. Precipitation and relative humidity in most cities had significant impacts on PM2.5 and PM10. The influence of relative humidity was most significant for SO2 and it also had a great influence on O3, while wind speed had a great influence on NO2. The results of the study confirm the meteorological sensitivity of air quality and provide support for the implementation of regional air pollution prevention and control initiatives.http://dx.doi.org/10.1155/2020/6829142 |
| spellingShingle | Mengyi Ji Yuying Jiang Xiping Han Luo Liu Xinliang Xu Zhi Qiao Wei Sun Spatiotemporal Relationships between Air Quality and Multiple Meteorological Parameters in 221 Chinese Cities Complexity |
| title | Spatiotemporal Relationships between Air Quality and Multiple Meteorological Parameters in 221 Chinese Cities |
| title_full | Spatiotemporal Relationships between Air Quality and Multiple Meteorological Parameters in 221 Chinese Cities |
| title_fullStr | Spatiotemporal Relationships between Air Quality and Multiple Meteorological Parameters in 221 Chinese Cities |
| title_full_unstemmed | Spatiotemporal Relationships between Air Quality and Multiple Meteorological Parameters in 221 Chinese Cities |
| title_short | Spatiotemporal Relationships between Air Quality and Multiple Meteorological Parameters in 221 Chinese Cities |
| title_sort | spatiotemporal relationships between air quality and multiple meteorological parameters in 221 chinese cities |
| url | http://dx.doi.org/10.1155/2020/6829142 |
| work_keys_str_mv | AT mengyiji spatiotemporalrelationshipsbetweenairqualityandmultiplemeteorologicalparametersin221chinesecities AT yuyingjiang spatiotemporalrelationshipsbetweenairqualityandmultiplemeteorologicalparametersin221chinesecities AT xipinghan spatiotemporalrelationshipsbetweenairqualityandmultiplemeteorologicalparametersin221chinesecities AT luoliu spatiotemporalrelationshipsbetweenairqualityandmultiplemeteorologicalparametersin221chinesecities AT xinliangxu spatiotemporalrelationshipsbetweenairqualityandmultiplemeteorologicalparametersin221chinesecities AT zhiqiao spatiotemporalrelationshipsbetweenairqualityandmultiplemeteorologicalparametersin221chinesecities AT weisun spatiotemporalrelationshipsbetweenairqualityandmultiplemeteorologicalparametersin221chinesecities |