气候变化领域集成服务门户(CCPortal): Satellite-based assessment of the long-term efficacy of PM2.5 pollution control policies across the Taiwan Strait

CCPortal

DOI	10.1016/j.rse.2020.112067
	Satellite-based assessment of the long-term efficacy of PM2.5 pollution control policies across the Taiwan Strait
	Wang L.; Bi J.; Meng X.; Geng G.; Huang K.; Li J.; Tang L.; Liu Y.
发表日期	2020
ISSN	00344257
卷号	251
英文摘要	Evaluating the efficacy of air pollution control policies is an essential part of the decision-making process to develop new policies and improve existing measures. Since 2005, Fujian Province of Mainland China and Taiwan across the Taiwan Strait have both implemented aggressive air pollution control policies designed based on different principles, but a comprehensive evaluation of these control policies on PM2.5pollution levels is still lacking. In the current study, we assessed the effects of these policies in the Taiwan Strait Region from 2005 to 2018 using full-coverage, high-resolution PM2.5generated by a satellite-driven machine learning model. A ten-fold cross-validation for our prediction model showed an R2value of 0.89, demonstrating that these predictions can be used for policy evaluation. During the 14-year period, PM2.5levels in all areas of Fujian and Taiwan underwent a significant decrease. Separate regression models for policy evaluation in Taiwan and Fujian showed that all considered policies have mitigated PM2.5pollution to various degrees. The Clean Air Action Plans (CAAP) is the most effective control policy in Taiwan, while the Action Plan of Air Pollution Prevention and Control (APPC-AP) and Three-year Action Plan for Blue Skies (3YAP-BS) as well as their provincial implementation plans are the most successful in Fujian. The effectiveness of control policies, however, varies by land-use types especially for Taiwan. © 2020 Elsevier Inc.
英文关键词	Air pollution control policy; Efficacy evaluation; PM2.5 exposure assessment; Random Forest; Taiwan Strait
语种	英语
scopus关键词	Air pollution; Decision making; Land use; Predictive analytics; Regression analysis; Air pollution prevention; Comprehensive evaluation; Cross validation; Decision making process; Machine learning models; Policy evaluation; Prediction model; Regression model; Air pollution control; assessment method; atmospheric pollution; long-term change; particulate matter; pollution control; pollution policy; satellite altimetry; China; Fujian; Taiwan Strait
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179122
作者单位	Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Gangarosa Department of Environmental Health, Emory University, Rollins School of Public Health, Atlanta, GA 30322, United States; School of Public Health, Fudan University, Shanghai, 200032, China; State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China; Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing, 100037, China; Xiamen Ecological Environment Bureau, Xiamen, 361000, China
推荐引用方式 GB/T 7714	Wang L.,Bi J.,Meng X.,et al. Satellite-based assessment of the long-term efficacy of PM2.5 pollution control policies across the Taiwan Strait[J],2020,251.
APA	Wang L..,Bi J..,Meng X..,Geng G..,Huang K..,...&Liu Y..(2020).Satellite-based assessment of the long-term efficacy of PM2.5 pollution control policies across the Taiwan Strait.Remote Sensing of Environment,251.
MLA	Wang L.,et al."Satellite-based assessment of the long-term efficacy of PM2.5 pollution control policies across the Taiwan Strait".Remote Sensing of Environment 251(2020).