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

文献类型：期刊论文

作者Wang, Youxiao1,2; Liu, Gaohuan1,2,3; Zhao, Zhonghe1,2; Wu, Chunsheng4; Yu, Bowei5
刊名ENVIRONMENTAL POLLUTION
出版日期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
DOI10.1016/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.
WOS关键词LAIZHOU BAY ; LOAD ESTIMATION ; GIS ; BASIN ; RUSLE ; LAND ; EROSIVITY ; PATTERNS ; NITROGEN ; RUNOFF
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研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000663133200005
出版者ELSEVIER SCI LTD
资助机构Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China
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.

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来源：地理科学与资源研究所

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