Exploring the trend, prediction and driving forces of aerosols using satellite and ground data, and implications for climate change mitigation

doi:10.1016/j.jclepro.2019.03.121

	Exploring the trend, prediction and driving forces of aerosols using satellite and ground data, and implications for climate change mitigation
	Li, Xueke 1; Zhang, Chuanrong 1; Li, Weidong 1; Anyah, Richard O.2; Tian, Jing 3
刊名	JOURNAL OF CLEANER PRODUCTION
	2019-06-20
卷号	223 页码:238-251
关键词	MODIS C6 Aerosol optical depth Time series ARIMA Climate change mitigation
ISSN号	0959-6526
DOI	10.1016/j.jclepro.2019.03.121
通讯作者	Li, Weidong(xueke.li@uconn.edu)
英文摘要	Human activities-related aerosol emissions and CO2 emissions originate from many of the common sources. Identifying the aerosol variations and the underling determinates can provide insights into united mitigation policy controls targeting on both aerosol pollution and climate change. Long-term trend analysis and modeling offers an effective way to fully appreciate how aerosols interlink with carbon cycle and climate change. This study analyzes the current trends, models the future predictions, and investigates potential driving forces of aerosol loading at six sites across North America and East Asia during 2003-2015. Satellite-retrieved MODIS Collection 6 retrievals and ground measurements derived from AERONET are used. Results show that there is a persistent decreasing trend in AOD for both MODIS data and AERONET data at three sites. Monthly and seasonal AOD variations reveal consistent aerosol patterns at sites along mid-latitudes. Regional differences caused by impacts of climatology and land cover types are observed for the selected sites. Statistical validation of time series ARIMA models indicates that the non-seasonal ARIMA model performs better for AERONET AOD data than for MODIS AOD data at most sites, suggesting the method works better for data with higher quality. The seasonal ARIMA model reproduces time series with distinct seasonal variations much more precisely. The reasonably predicted AOD values could provide reliable estimates to better inform the decision-making for sustainable environmental management. Drawn from aerosol pollution control strategies, it is suggested that the enforcement of regulations on emission sources and the initiative of reforestation on emission sinks could have potential implications for climate change mitigation. (C) 2019 Elsevier Ltd. All rights reserved.
WOS关键词	LONG-RANGE TRANSPORT ; INDO-GANGETIC PLAINS ; OPTICAL-PROPERTIES ; AIR-POLLUTION ; AERONET ; MODIS ; CHINA ; DEPTH ; CARBON ; LAND
WOS研究方向	Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000466253100020
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/59805]
专题	中国科学院地理科学与资源研究所
通讯作者	Li, Weidong
作者单位	1.Univ Connecticut, Dept Geog, Storrs, CT 06269 USA 2.Univ Connecticut, Dept Nat Resources & Environm, Storrs, CT 06269 USA 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Li, Xueke,Zhang, Chuanrong,Li, Weidong,et al. Exploring the trend, prediction and driving forces of aerosols using satellite and ground data, and implications for climate change mitigation[J]. JOURNAL OF CLEANER PRODUCTION,2019,223:238-251.
APA	Li, Xueke,Zhang, Chuanrong,Li, Weidong,Anyah, Richard O.,&Tian, Jing.(2019).Exploring the trend, prediction and driving forces of aerosols using satellite and ground data, and implications for climate change mitigation.JOURNAL OF CLEANER PRODUCTION,223,238-251.
MLA	Li, Xueke,et al."Exploring the trend, prediction and driving forces of aerosols using satellite and ground data, and implications for climate change mitigation".JOURNAL OF CLEANER PRODUCTION 223(2019):238-251.