Using soil erosion to locate nonpoint source pollution risks in coastal zones: A case study in the Yellow River Delta, China

doi:10.1016/j.envpol.2021.117117

	Using soil erosion to locate nonpoint source pollution risks in coastal zones: A case study in the Yellow River Delta, China
	Wang, Youxiao 1,2; Liu, Gaohuan 1,2,3; Zhao, Zhonghe 1,2; Wu, Chunsheng 4; Yu, Bowei 5
刊名	ENVIRONMENTAL POLLUTION
	2021-08-15
卷号	283 页码:12
关键词	Yellow River Delta Soil erosion Nonpoint source pollution risks Pollutant flux into the sea
ISSN号	0269-7491
DOI	10.1016/j.envpol.2021.117117
通讯作者	Zhao, Zhonghe(zhaozhh@lreis.ac.cn)
英文摘要	Soil erosion contributes greatly to nonpoint source pollution (NSP). We built a coastal NSP risk calculation method (CNSPRI) based on the Revised Universal Soil Loss Equation (RUSLE) and geospatial methods. In studies on the formation and transport of coastal NSP, we analysed the pollution impacts on the sea by dividing subbasins into the sea and monitoring the pollutant flux. In this paper, a case study in the Yellow River Delta showed that the CNSPRI could better predict the total nitrogen (TN) and total phosphorus (TP) NSP risks. The value of the soil erodibility factor (K) was 0.0377 t h.MJ(-1).mm(-1), indicating higher soil erodibility levels, and presented an increased trend from the west to the east coast. The NSP risk also showed an increased trend from west to east, and the worst status was found near the Guangli River of the south-eastern region. The contributions of the seven influencing factors to CNSPRI presented an order of vegetation cover > rainfall erosivity > soil content > soil erodibility > flow > flow path > slope. The different roles of source and sink landscapes influenced the pollutant outputs on a subbasin scale. Arable land and saline-alkali land were the two land-use types with the greatest NSP risks. Therefore, in coastal zones, to reduce NSP output risks, we should pay more attention to the spatial distribution of vegetation cover, increase its interception effect on soil loss, and prioritize the improvement of saline-alkali land to reduce the amount of bare land. (C) 2021 Elsevier Ltd. All rights reserved.
资助项目	Strategic Priority Research Program of Chinese Academy of Sciences[XDA23050101] ; National Natural Science Foundation of China[42001227] ; National Natural Science Foundation of China[41801354]
WOS关键词	LAIZHOU BAY ; LOAD ESTIMATION ; GIS ; BASIN ; RUSLE ; LAND ; EROSIVITY ; PATTERNS ; NITROGEN ; RUNOFF
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000663133200005
资助机构	Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/164156]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhao, Zhonghe
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Lhasa Plateau Ecosyst Res Stn, Beijing 100101, Peoples R China 5.Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China
推荐引用方式 GB/T 7714	Wang, Youxiao,Liu, Gaohuan,Zhao, Zhonghe,et al. Using soil erosion to locate nonpoint source pollution risks in coastal zones: A case study in the Yellow River Delta, China[J]. ENVIRONMENTAL POLLUTION,2021,283:12.
APA	Wang, Youxiao,Liu, Gaohuan,Zhao, Zhonghe,Wu, Chunsheng,&Yu, Bowei.(2021).Using soil erosion to locate nonpoint source pollution risks in coastal zones: A case study in the Yellow River Delta, China.ENVIRONMENTAL POLLUTION,283,12.
MLA	Wang, Youxiao,et al."Using soil erosion to locate nonpoint source pollution risks in coastal zones: A case study in the Yellow River Delta, China".ENVIRONMENTAL POLLUTION 283(2021):12.