Quantifying the interactive effects of meteorological, socioeconomic, and pollutant factors on summertime ozone pollution in China during the implementation of two important policies
文献类型：期刊论文
| 作者 | Zhang, Xiangxue1,2; Yan, Bin4; Du, Chaojie2; Cheng, Changxiu1,2,5; Zhao, Hui3 |
| 刊名 | ATMOSPHERIC POLLUTION RESEARCH
 |
| 出版日期 | 2021-12-01 |
| 卷号 | 12期号:12页码:10 |
| 关键词 | Bayesian space-time hierarchy model GeoDetector Ozone pollution Spatiotemporal characteristics |
| ISSN号 | 1309-1042 |
| DOI | 10.1016/j.apr.2021.101248 |
| 通讯作者 | Cheng, Changxiu(chengcx@bnu.edu.cn) ; Zhao, Hui(zhaohui_nuist@163.com) |
| 英文摘要 | In recent years, ground-level ozone (O3) pollution has increasingly impacted both climate and human health in China. This study used the Bayesian space-time hierarchy model to reveal the spatial heterogeneity of the summertime O3 concentrations based on the monitoring data of 331 cities in China from 2015 to 2020. The GeoDetector model was then used to quantify the associations of meteorological, socioeconomic, pollutant factors, and their interactive effects with summertime O3 concentrations in six representative regions of China during the implementation of two policies: the Air Pollution Prevention and Control Action Plan (2015-2017) and the Blue Sky Defense Action policy (2018-2020). The results showed that O3 concentrations increased by 11.33% from 2015 to 2017 and slightly decreased by 4.2% from 2018 to 2020. Spatially, hot spots (high-risk areas) of O3 pollution are mainly clustered in North China (Beijing-Tianjin-Hebei, Shandong, Henan, and Shanxi) and the Yangtze River Delta (Shanghai, Anhui, and Jiangsu), while cold spots (low-risk areas) are mainly distributed in Northeast China (Heilongjiang, and Jilin) and Southwest China (Tibet, Sichuan, Guangxi, and Yunnan). Furthermore, regional differences exist among the examined meteorological, socioeconomic, and pollutant factors in terms of impacting the spatiotemporal heterogeneity of O3 concentration: exactly, the dominant meteorological factors impacting O3 concentration were average temperature and air pressure; population density and industrial output were the most important socioeconomic factor, which have impact on O3 concentration; and the dominant pollutant factors impacting O3 concentration were PM2.5 and PM10 in six representative regions of China during 2015-2017 and 2018-2020. These findings increase our understanding of the spatiotemporal characteristics of O3 pollution in China and can assist in urban policy-making. |
| WOS关键词 | FINE PARTICULATE MATTER ; AIR-POLLUTION ; SURFACE OZONE ; GLOBAL BURDEN ; LAYER OZONE ; MORTALITY ; HEALTH ; TRENDS ; QUALITY ; RISK |
| 资助项目 | Na-tional Key Research and Development Plan of China, China[2019YFA0606901] ; China Schol-arship Council, China[202106040072] ; China Postdoctoral Science Foundation, China[2020M681157] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000741182000001 |
| 出版者 | TURKISH NATL COMMITTEE AIR POLLUTION RES & CONTROL-TUNCAP |
| 资助机构 | Na-tional Key Research and Development Plan of China, China ; China Schol-arship Council, China ; China Postdoctoral Science Foundation, China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/169703]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Cheng, Changxiu; Zhao, Hui |
| 作者单位 | 1.Beijing Normal Univ, Key Lab Environm Change & Nat Disaster, Beijing 100875, Peoples R China 2.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China 3.Fudan Univ, Dept Environm Sci & Engn, Shanghai 200438, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 5.Natl Tibetan Plateau Data Ctr, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Xiangxue,Yan, Bin,Du, Chaojie,et al. Quantifying the interactive effects of meteorological, socioeconomic, and pollutant factors on summertime ozone pollution in China during the implementation of two important policies[J]. ATMOSPHERIC POLLUTION RESEARCH,2021,12(12):10. |
| APA | Zhang, Xiangxue,Yan, Bin,Du, Chaojie,Cheng, Changxiu,&Zhao, Hui.(2021).Quantifying the interactive effects of meteorological, socioeconomic, and pollutant factors on summertime ozone pollution in China during the implementation of two important policies.ATMOSPHERIC POLLUTION RESEARCH,12(12),10. |
| MLA | Zhang, Xiangxue,et al."Quantifying the interactive effects of meteorological, socioeconomic, and pollutant factors on summertime ozone pollution in China during the implementation of two important policies".ATMOSPHERIC POLLUTION RESEARCH 12.12(2021):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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