Evaluation of agricultural nonpoint source pollution potential risk over China with a Transformed-Agricultural Nonpoint Pollution Potential Index method

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成果类型：

期刊论文

作者：

Yang, Fei;Xu, Zhencheng;Zhu, Yunqiang*;He, Chansheng;Wu, Genyi;...

通讯作者：

Zhu, Yunqiang

作者机构：

[Zhu, Yunqiang; Fu, Qiang; Yang, Fei] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.

[Qiu, Jin Rong; Xu, Zhencheng] South China Inst Environm Sci, Guangzhou 510655, Guangdong, Peoples R China.

[He, Chansheng] Western Michigan Univ, Dept Geog, Kalamazoo, MI 49008 USA.

[Wu, Genyi] Hunan Agr Univ, Coll Resources & Environm, Changsha 410128, Hunan, Peoples R China.

[Liu, Qingsong; Fu, Qiang] Henan Univ, Coll Environm & Planning, Kaifeng 475001, Peoples R China.

通讯机构：

[Zhu, Yunqiang] C

Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.

语种：

英文

关键词：

NPS potential risk;T-APPI;evaluation;spatial distribution

期刊：

Environmental Technology

ISSN：

0959-3330

年：

2013

卷：

期：

页码：

2951-2963

DOI：

10.1080/09593330.2013.796008

基金类别：

This work was supported by the Research Project of Public Service Sectors from the Ministry of Environment Protection in China (Grant Nos 201009017 and 201209030) and the Basic Works Project of Ministry of Science and Technology (2012FY111800-5). The authors thank the Data Sharing Infrastructure of Earth System Science (DSIESS) database (www.geodata.cn) and the Land-Atmosphere Interaction Research Group at Beijing Normal University (http://globalchange.bnu.edu. cn/research/soil#download) for providing several fundamental data.

机构署名：

本校为其他机构

院系归属：

资源环境学院

摘要：

Agricultural nonpoint source (NPS) pollution has been the most important threat to water environment quality. Understanding the spatial distribution of NPS pollution potential risk is important for taking effective measures to control and reduce NPS pollution. A Transformed-Agricultural Nonpoint Pollution Potential Index (T-APPI) model was constructed for evaluating the national NPS pollution potential risk in this study; it was also combined with remote sensing and geographic information system techniques for evaluation on the large scale and ...

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Evaluation of agricultural nonpoint source pollution potential risk over China with a Transformed-Agricultural Nonpoint Pollution Potential Index method

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