Effects of anthropogenic precursor emissions and meteorological conditions on PM2.5 concentrations over the "2+26" cities of northern China*

被引:21
作者
Dong, Junwu [1 ,2 ,3 ,6 ]
Liu, Pengfei [1 ,2 ,3 ,4 ]
Song, Hongquan [3 ,4 ,5 ]
Yang, Dongyang [1 ,2 ]
Yang, Jie [1 ,2 ]
Song, Genxin [3 ]
Miao, Changhong [1 ,2 ]
Zhang, Jiejun [1 ,2 ]
Zhang, Longlong [3 ]
机构
[1] Henan Univ, Key Res Inst Yellow River Civilizat & Sustainable, Kaifeng 475004, Peoples R China
[2] Henan Univ, Collaborat Innovat Ctr Yellow River Civilizat Hena, Kaifeng 475004, Peoples R China
[3] Henan Univ, Coll Geog & Environm Sci, Kaifeng 475004, Peoples R China
[4] Henan Univ, Coll Geog & Environm Sci, Inst Urban Big Data, Kaifeng 475004, Peoples R China
[5] Henan Univ, Key Lab Geospatial Technol Middle & Lower Yellow R, Minist Educ, Kaifeng 475004, Peoples R China
[6] Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China
关键词
Air pollution; PM2; 5; Interactive effects; GeoDetector model; The?2+26? cities; AIR-POLLUTION CHARACTERISTICS; PARTICULATE MATTER PM2.5; YANGTZE-RIVER DELTA; CONTROL ACTION PLAN; JIN-JI REGION; CHEMICAL-COMPOSITION; QUALITY IMPROVEMENT; AMBIENT PM2.5; HAZE EVENTS; PATTERNS;
D O I
10.1016/j.envpol.2022.120392
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Elucidating the characteristics and influencing mechanisms of PM2.5 concentrations is the premise and key to the precise prevention and control of air pollution. However, the temporal and spatial heterogeneity of PM2.5 concentrations and its driving mechanism are complex and need to be further analyzed. We analyzed the temporal and spatial variations of PM2.5 concentrations in the "2 + 26" cities from 2015 to 2021, and quantified the influence of meteorological factors and anthropogenic emissions and their interactions on PM2.5 concentrations based on geographic detector model. We find the inter-annual and inter-season PM2.5 concentrations show downward trend from 2015 to 2021, and the inter-month PM2.5 concentrations present a U-shaped distribution. The PM2.5 concentrations in the "2 + 26" cities manifest a spatial distribution pattern of high in the south and low in the north, and high in the middle and low in the surroundings. Meteorological conditions have stronger effects on PM2.5 concentrations than anthropogenic emissions, and planetary boundary layer height and temperature are the two main driving factors at the annual scale. On the seasonal scale, sunshine duration is the dominant factor of PM2.5 concentrations in summer and autumn, and planetary boundary layer height is the dominant factor of PM2.5 concentrations in winter. The effect of anthropogenic emissions on PM2.5 concentration is higher in winter and spring than in summer and autumn, and ammonia and ozone have stronger effects on PM2.5 concentrations than other anthropogenic emissions. Interactions between the factors significantly enhance the PM2.5 concentrations. The interactions between planetary boundary layer height and other impacting factors play dominant roles on PM2.5 concentrations at annual scale and in winter. Our results not only provide crucial information for further developing air quality policies of the "2 + 26" cities, but also bear out several important implications for clean air policies in China and other regions of the world.
引用
收藏
页数:11
相关论文
共 102 条
[1]  
Beijing Municipal Government, 2017, BEIJ MAST PLAN 2016
[2]   Influence of anthropogenic emission inventories on simulations of air quality in China during winter and summer 2010 [J].
Bouarar, Idir ;
Brasseur, Guy ;
Petersen, Katinka ;
Granier, Claire ;
Fan, Qi ;
Wang, Xuemei ;
Wang, Lili ;
Ji, Dongsheng ;
Liu, Zirui ;
Xie, Ying ;
Gao, Wei ;
Elguindi, Nellie .
ATMOSPHERIC ENVIRONMENT, 2019, 198 :236-256
[3]   The impact of the "Air Pollution Prevention and Control Action Plan" on PM2.5 concentrations in Jing-Jin-Ji region during 2012-2020 [J].
Cai, Siyi ;
Wang, Yangjun ;
Zhao, Bin ;
Wang, Shuxiao ;
Chang, Xing ;
Hao, Jiming .
SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 580 :197-209
[4]   Emission inventories of primary particles and pollutant gases for China [J].
Cao GuoLiang ;
Zhang XiaoYe ;
Gong SunLing ;
An XinQin ;
Wang YaQiang .
CHINESE SCIENCE BULLETIN, 2011, 56 (08) :781-788
[5]   Spatial and temporal variation of particulate matter and gaseous pollutants in 26 cities in China [J].
Chai, Fahe ;
Gao, Jian ;
Chen, Zhenxing ;
Wang, Shulan ;
Zhang, Yuechong ;
Zhang, Jingqiao ;
Zhang, Hefeng ;
Yun, Yaru ;
Ren, Chun .
JOURNAL OF ENVIRONMENTAL SCIENCES, 2014, 26 (01) :75-82
[6]   Assessment of carbonaceous aerosols in Shanghai, China - Part 1: long-term evolution, seasonal variations, and meteorological effects [J].
Chang, Yunhua ;
Deng, Congrui ;
Cao, Fang ;
Cao, Chang ;
Zou, Zhong ;
Liu, Shoudong ;
Lee, Xuhui ;
Li, Jun ;
Zhang, Gan ;
Zhang, Yanlin .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2017, 17 (16) :9945-9964
[7]   Spatial Patterns of Satellite-Retrieved PM2.5 and Long-Term Exposure Assessment of China from 1998 to 2016 [J].
Chen, Tan ;
Deng, Shulin ;
Li, Manchun .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2018, 15 (12)
[8]   Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism [J].
Chen, Ziyue ;
Chen, Danlu ;
Zhao, Chuanfeng ;
Kwan, Mei-po ;
Cai, Jun ;
Zhuang, Yan ;
Zhao, Bo ;
Wang, Xiaoyan ;
Chen, Bin ;
Yang, Jing ;
Li, Ruiyuan ;
He, Bin ;
Gao, Bingbo ;
Wang, Kaicun ;
Xu, Bing .
ENVIRONMENT INTERNATIONAL, 2020, 139
[9]   Evaluating the "2+26" regional strategy for air quality improvement during two air pollution alerts in Beijing: variations in PM2.5 concentrations, source apportionment, and the relative contribution of local emission and regional transport [J].
Chen, Ziyue ;
Chen, Danlu ;
Wen, Wei ;
Zhuang, Yan ;
Kwan, Mei-Po ;
Chen, Bin ;
Zhao, Bo ;
Yang, Lin ;
Gao, Bingbo ;
Li, Ruiyuan ;
Xu, Bing .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (10) :6879-6891
[10]   Understanding meteorological influences on PM2.5 concentrations across China: a temporal and spatial perspective [J].
Chen, Ziyue ;
Xie, Xiaoming ;
Cai, Jun ;
Chen, Danlu ;
Gao, Bingbo ;
He, Bin ;
Cheng, Nianliang ;
Xu, Bing .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2018, 18 (08) :5343-5358