干旱区生态环境知识资源中心(Arid): Remote sensing of wetland evolution in predicting shallow groundwater arsenic distribution in two typical inland basins

Arid

DOI	10.1016/j.scitotenv.2021.150496
	Remote sensing of wetland evolution in predicting shallow groundwater arsenic distribution in two typical inland basins
	Gao, Zhipeng; Guo, Huaming; Li, Shanyang; Wang, Jiao; Ye, Haolin; Han, Shuangbao; Cao, Wengeng
通讯作者	Guo, HM (corresponding author), China Univ Geosci Beijing, Sch Water Resources & Environm, Beijing 100083, Peoples R China.
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
EISSN	1879-1026
出版年	2022
卷号	806
英文摘要	A large number of studies have shown that the existence of wetlands may influence arsenic concentrations in adjacent shallow groundwater. However, little is known about the linkage between wetland evolution and arsenic enrichment in shallow groundwater. This study investigated wetland evolutions from 1973 to 2015 in two arid semiarid inland basins along the Yellow River catchment (i.e., the Yinchuan Basin and the Hetao Basin) based on remote sensing data, and their association with arsenic distributions based on arsenic concentrations of 244 and 570 shallow groundwater samples, respectively. The long-term Landsat images reveal that the covering area of wetlands exhibited increasing trends in both the Yinchuan Basin and the Hetao Basin. Wetlands in the Yinchuan Basin and the Yellow River water-irrigation area in the Hetao Basin varied with precipitation before 2000, but exhibited increasing trends because of wetland restoration policies since 2000. Wetlands in groundwater-irrigation area in the Hetao Basin decreased due to increasing exploitation of shallow groundwater. Wetlands with long existence time were mainly distributed along the Yellow River and drainage channels and in large lakes in the northern Yinchuan Basin and the Hetao Basin, where high-arsenic (>10 mu g/L) groundwater occurred. The probability of high-arsenic groundwater distribution increased with the proportion of wetland existence time to the entire studied period (42 years), which can be best explained by a BiDoseResp growth curve. Longer existence of wetlands may cause greater probability of high-arsenic groundwater. This was likely related to long-term introduction of biodegradable organic matter into shallow aquifers and thereafter enhancement of arsenic mobility and/or arsenic being released beneath wetlands and transported into shallow aquifers under continuing wetland water recharge. We therefore suggest that mapping wetland evolutions could probably serve as a good indicator for predicting high arsenic groundwater distributions in shallow aquifers. (c) 2021 Elsevier B.V. All rights reserved.
英文关键词	Arsenic Hetao Basin Remote sensing Wetland Yinchuan Basin
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000707641000005
WOS关键词	HETAO BASIN ; SURFACE-WATER ; INUNDATION CHANGES ; SHANXI PROVINCE ; YINCHUAN PLAIN ; TIME-SERIES ; RED-RIVER ; AQUIFERS ; CHINA ; CONTAMINATION
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364631
作者单位	[Gao, Zhipeng; Guo, Huaming] China Univ Geosci, State Key Lab Biogeol & Environm Geol, Beijing 100083, Peoples R China; [Gao, Zhipeng; Guo, Huaming; Li, Shanyang; Wang, Jiao; Ye, Haolin] China Univ Geosci Beijing, MOE Key Lab Groundwater Circulat & Evolut, Beijing 100083, Peoples R China; [Gao, Zhipeng; Guo, Huaming; Li, Shanyang; Wang, Jiao; Ye, Haolin] China Univ Geosci Beijing, Sch Water Resources & Environm, Beijing 100083, Peoples R China; [Han, Shuangbao] China Geol Survey, Ctr Hydrogeol & Environm Geol, Baoding 071051, Peoples R China; [Cao, Wengeng] Chinese Acad Geol Sci, Inst Hydrogeol & Environm Geol, Shijiazhuang 050061, Hebei, Peoples R China
推荐引用方式 GB/T 7714	Gao, Zhipeng,Guo, Huaming,Li, Shanyang,et al. Remote sensing of wetland evolution in predicting shallow groundwater arsenic distribution in two typical inland basins[J],2022,806.
APA	Gao, Zhipeng.,Guo, Huaming.,Li, Shanyang.,Wang, Jiao.,Ye, Haolin.,...&Cao, Wengeng.(2022).Remote sensing of wetland evolution in predicting shallow groundwater arsenic distribution in two typical inland basins.SCIENCE OF THE TOTAL ENVIRONMENT,806.
MLA	Gao, Zhipeng,et al."Remote sensing of wetland evolution in predicting shallow groundwater arsenic distribution in two typical inland basins".SCIENCE OF THE TOTAL ENVIRONMENT 806(2022).