中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An improved minimum cumulative resistance model for risk assessment of agricultural non-point source pollution in the coastal zone

文献类型:期刊论文

作者Huang, Chong1,2; Hou, Xiangjun1; Li, He1
刊名ENVIRONMENTAL POLLUTION
出版日期2022-11-01
卷号312页码:13
ISSN号0269-7491
关键词Agricultural non-point source pollution (AGNPSP) Coastal zone Yellow river delta Nitrogen Transport process AGNPSP-MCR
DOI10.1016/j.envpol.2022.120036
通讯作者Li, He(lih@lreis.ac.cn)
英文摘要Agricultural non-point source pollution (AGNPSP) is an important risk factor affecting the water environment. Among the areas where cropland NPSP occurs, the coastal zone should be of greater concern. Typhoons, heavy precipitation, and abundant rivers and ponds accelerate the transport process of AGNPSP to the offshore waters. It is urgent to construct a simple and accurate model to assess the risk of AGNPSP in the coastal zones. Thus, this study takes the nitrogen pollution from agricultural cultivation in the coastal zone of the Yellow River Delta as an example. A new minimum cumulative resistance (MCR) to agricultural non-point source pollution (AGNPSP-MCR) model is first proposed to simulate the transport process of cropland NPSP into the sea based on the "source-sink" theory in landscape ecology. Finally, the risk is assessed for AGNPSP transport into the sea. The results show the following. (1) The environmental factors of vegetation cover, rainfall erosivity, and soil erodibility are the three most important factors in pollution transportation, weighted 0.3433, 0.2608, and 0.2219, respectively, while the least influential factor is slope, with a weight of only 0.0053. (2) The minimum cumulative resistance of AGNPSP transportation shows a significant positive correlation with the distance to the river and sea, and is higher on the west sides away from the ocean, and smaller in the eastern coastal area near the sea. (3) Similarly, the regions facing serious AGNPSP risk are concentrated in the eastern coastal area, and the cropland area above medium risk was 252.72 km(2), accounting for 47.57% of the total cultivated land area. (4) Compared with the traditional MCR model, the AGNPSP-MCR model takes into account the quantitative differences of the transport process characteristics of AGNPSP, and it is constrained by the topographical parameter, so the results of AGNPSP risk are more reliable. This study provides a new reference for risk assessments of AGNPSP in the coastal zones.
WOS关键词LOAD ESTIMATION ; LAND-USE ; SOIL ; MANAGEMENT ; CATCHMENT ; EROSION ; CHINA
资助项目Science and Technology Basic Resources Investigation Program of China[2021FY101000] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23050101] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19060302]
WOS研究方向Environmental Sciences & Ecology
语种英语
出版者ELSEVIER SCI LTD
WOS记录号WOS:000993697800006
资助机构Science and Technology Basic Resources Investigation Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/197429]  
专题中国科学院地理科学与资源研究所
通讯作者Li, He
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.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, CAS Engn Lab Yellow River Delta Modern Agr, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Huang, Chong,Hou, Xiangjun,Li, He. An improved minimum cumulative resistance model for risk assessment of agricultural non-point source pollution in the coastal zone[J]. ENVIRONMENTAL POLLUTION,2022,312:13.
APA Huang, Chong,Hou, Xiangjun,&Li, He.(2022).An improved minimum cumulative resistance model for risk assessment of agricultural non-point source pollution in the coastal zone.ENVIRONMENTAL POLLUTION,312,13.
MLA Huang, Chong,et al."An improved minimum cumulative resistance model for risk assessment of agricultural non-point source pollution in the coastal zone".ENVIRONMENTAL POLLUTION 312(2022):13.

入库方式: OAI收割

来源:地理科学与资源研究所

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