Investigating the Potential Climatic Effects of Atmospheric Pollution across China under the National Clean Air Action Plan
文献类型：期刊论文
| 作者 | Dilawar, Adil2; Chen, Baozhang2,3; Ul-Haq, Zia; Amir, Muhammad2,5; Arshad, Arfan6; Hassan, Mujtaba1; Guo, Man7; Shafeeque, Muhammad8; Fang, Junjun2; Song, Boyang9 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-04-01 |
| 卷号 | 15期号:8页码:2084 |
| 关键词 | air pollution APPCAP Geographically weighted regression (GWR) meteorology |
| DOI | 10.3390/rs15082084 |
| 文献子类 | Article |
| 英文摘要 | To reduce air pollution, China adopted rigorous control mechanisms and announced the Air Pollution Prevention and Control Action Plan (APPCAP) in 2013. Here, using OMI satellite, the NASA Socioeconomic Data and Application Center (SEDAC), and Fifth ECMWF (ERA5) data at a 0.25 degrees x 0.25 degrees resolution, we explored changes in NO2, PM, SO2, and O-3 and climatology over China in response to the Action Plan between 2004 and 2021. This study attempts to investigate the long term trend analysis of air pollution and climatic variations during two scenarios before (2004-2013) and after (2013-2021) APPCAP. We investigated the climatic effects of air pollution in China before and after APPCAP adoption using geographically weighted regression (GWR) and differential models to assess the contribution of air pollution. The spatial representation analysis demonstrated how air pollution affected climatic factors before and after the APPCAP. Several important findings were derived: (1) the APPCAP significantly influenced air pollution reduction in China post-scenario (2013-2021); (2) the Mann Kendall test investigated that all pollutants showed an increasing trend pre-APPCAP, while they showed a decreasing trend, except for O-3, post-APPCAP; (3) for climatic factors, the MK test showed an increasing trend of precipitation and mean minimum air temperature t(min) post-APPCAP; (4) innovative trend analysis (ITA) showed a reduction in NO2, SO2, and PM, although O-3 showed no trend post-APPCAP; and (5) pre-scenario, NO2 contributed to an increase in the mean maximum air temperature (t(max)) by 0.62 degrees C, PM contributed to raising t(min) by 0.41 degrees C, while O-3 reduced the t(max)(t(min)) by 0.15 degrees C (0.05 degrees C). PM increased t(max) and precipitation with a magnitude 0.38 degrees C (7.38 mm), and NO2 contributed to increasing t(min) by (0.35 degrees C), respectively, post-scenario. In particular, post-scenario led to an increase in t(min) and precipitation across China. The results and discussion presented in this study can be beneficial for policymakers in China to establish long-term management plans for air pollution and climatological changes. |
| 学科主题 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS关键词 | URBAN OZONE POLLUTION ; COVER CHANGES ; IMPACTS ; CITIES ; PM2.5 ; NO2 ; PRECIPITATION ; VULNERABILITY ; VARIABILITY ; CHALLENGES |
| 语种 | 英语 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/193497]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Oklahoma State Univ, Dept Biosyst & Agr Engn, Stillwater, OK 74078 USA 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci UCAS, Beijing 100049, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China 5.Univ Punjab, Natl Ctr GIS & Space Applicat, Ctr Remote Sensing, Remote Sensing GIS & Climat Res Lab, Lahore 54590, Pakistan 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 7.Inst Space Technol, Dept Space Sci, Islamabad 44000, Pakistan 8.Univ Nottingham, Fac Sci & Engn, Sch Geog Sci, Ningbo 315100, Peoples R China 9.Univ Bremen, Inst Geog, Climate Lab, D-28359 Bremen, Germany 10.Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomatics Engn, Nanjing 210044, Peoples R China |
| 推荐引用方式 GB/T 7714 | Dilawar, Adil,Chen, Baozhang,Ul-Haq, Zia,et al. Investigating the Potential Climatic Effects of Atmospheric Pollution across China under the National Clean Air Action Plan[J]. REMOTE SENSING,2023,15(8):2084. |
| APA | Dilawar, Adil.,Chen, Baozhang.,Ul-Haq, Zia.,Amir, Muhammad.,Arshad, Arfan.,...&Zhang, Huifang.(2023).Investigating the Potential Climatic Effects of Atmospheric Pollution across China under the National Clean Air Action Plan.REMOTE SENSING,15(8),2084. |
| MLA | Dilawar, Adil,et al."Investigating the Potential Climatic Effects of Atmospheric Pollution across China under the National Clean Air Action Plan".REMOTE SENSING 15.8(2023):2084. |
入库方式： OAI收割
来源：地理科学与资源研究所
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