Spatiotemporal trend analysis for fine particulate matter concentrations in China using high-resolution satellite-derived and ground-measured PM2.5 data

被引:69
作者
Bai, Kaixu [1 ,2 ]
Ma, Mingliang [1 ,2 ]
Chang, Ni-Bin [3 ]
Gao, Wei [1 ,2 ,4 ,5 ]
机构
[1] East China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China
[2] East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China
[3] Univ Cent Florida, Dept Civil Environm & Construct Engn, Orlando, FL 32816 USA
[4] Colorado State Univ, USDA UV B Monitoring & Res Program, Nat Resource Ecol Lab, Ft Collins, CO 80523 USA
[5] Colorado State Univ, Dept Ecosyst Sci & Sustainabil, Ft Collins, CO 80523 USA
基金
中国国家自然科学基金;
关键词
Air quality; PM2.5; Fine particulate matter; Emission control; Trend analysis; AIR-POLLUTION; SPATIAL VARIABILITY; LAYER HEIGHT; REPRESENTATIVENESS; EXPOSURE; HAZE;
D O I
10.1016/j.jenvman.2018.12.071
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Atmospheric fine particulate matters (PM2.5) have raised global concerns because of their markedly adverse effects on public health and environmental quality. In parallel with technological variations and social changes in the evolving industrialization pathways in China, there is an acute need to evaluate the long-term spatio-temporal trend of PM2.5 concentrations across China after years of elevation. Toward this end, an integrated high-resolution satellite-derived (1998-2016) and ground-measured (2015-2017) PM2.5 data base was applied. Satellite-derived annual mean PM2.5 grids were firstly validated via comparison with collocated surface in situ PM2.5 measurements and were then used for trend analyses. The estimated linear trends from gridded PM2.5 data indicated that PM2.5 concentrations in China increased mainly before 2008 and have decreased since then, with prominent decreases observed primarily in south China. To corroborate the satellite-based PM2.5 trend estimations, surface in situ PM2.5 measurements from the period from 2015 to 2017 were applied to further evaluate the decreasing rate after 2014, at which time the Chinese "Air Pollution Prevention and Control Action Plan" was enforced. The results revealed that the national mean PM(2.5)concentrations decreased by about 6.5 mu g/m(3) from 2015 to 2017, with prominent decreases (by a rate of 5-10 mu g/m(3) per year) observed primarily associated with largePM(2.5) concentrations in Central China, North China, Northeast China, and East China during the period from October to December. Our systematic trend assessment provides a deepened understanding of PM2.5 variations across China in the past few years in association with the newly promoted action plan and offers a brief guideline for relevant policy making in the future.
引用
收藏
页码:530 / 542
页数:13
相关论文
共 42 条
[1]   Comparison of remotely sensed PM2.5 concentrations between developed and developing countries: Results from the US, Europe, China, and India [J].
Cao Shisong ;
Zhao Wenji ;
Guan Hongliang ;
Hu Deyong ;
Mo You ;
Zhao Wenhui ;
Li Shanshan .
JOURNAL OF CLEANER PRODUCTION, 2018, 182 :672-681
[2]   Emission-driven changes in anthropogenic aerosol concentrations in China during 1970-2010 and its implications for PM2.5 control policy [J].
Chang, Wenyuan ;
Zhan, Jianqiong ;
Zhang, Ying ;
Li, Zhengqiang ;
Xing, Jia ;
Li, Jiandong .
ATMOSPHERIC RESEARCH, 2018, 212 :106-119
[3]   ROBUST LOCALLY WEIGHTED REGRESSION AND SMOOTHING SCATTERPLOTS [J].
CLEVELAND, WS .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1979, 74 (368) :829-836
[4]  
Ebenstein A., 2017, P NATL ACAD SCI USA, V110
[5]   Satellite-based ground PM2.5 estimation using timely structure adaptive modeling [J].
Fang, Xin ;
Zou, Bin ;
Liu, Xiaoping ;
Sternberg, Troy ;
Zhai, Liang .
REMOTE SENSING OF ENVIRONMENT, 2016, 186 :152-163
[6]   The past, present, and future of population geography in China: Progress, challenges and opportunities [J].
Feng Zhiming ;
Li Fangzhou ;
Yang Yanzhao ;
Li Peng .
JOURNAL OF GEOGRAPHICAL SCIENCES, 2017, 27 (08) :925-942
[7]   Trends of PM2.5 concentrations in China: A long term approach [J].
Fontes, Tania ;
Li, Peilin ;
Barros, Nelson ;
Zhao, Pengjun .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2017, 196 :719-732
[8]   Haze, public health and mitigation measures in China: A review of the current evidence for further policy response [J].
Gao, Jinghong ;
Woodward, Alistair ;
Vardoulakis, Sotiris ;
Kovats, Sari ;
Wilkinson, Paul ;
Li, Liping ;
Xu, Lei ;
Li, Jing ;
Yang, Jun ;
Li, Jing ;
Cao, Lina ;
Liu, Xiaobo ;
Wu, Haixia ;
Liu, Qiyong .
SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 578 :148-157
[9]   Spatial Clustering Overview and Comparison: Accuracy, Sensitivity, and Computational Expense [J].
Grubesic, Tony H. ;
Wei, Ran ;
Murray, Alan T. .
ANNALS OF THE ASSOCIATION OF AMERICAN GEOGRAPHERS, 2014, 104 (06) :1134-1155
[10]   Correlation between PM concentrations and aerosol optical depth in eastern China [J].
Guo, Jian-Ping ;
Zhang, Xiao-Ye ;
Che, Hui-Zheng ;
Gong, Sun-Ling ;
An, Xingqin ;
Cao, Chun-Xiang ;
Guang, Jie ;
Zhang, Hao ;
Wang, Ya-Qiang ;
Zhang, Xiao-Chun ;
Xue, Min ;
Li, Xiao-Wen .
ATMOSPHERIC ENVIRONMENT, 2009, 43 (37) :5876-5886