DocumentCode :
2437829
Title :
Critical Source Area identification of Agricultural Non-point Source Pollution in Xingkai-Lake watershed
Author :
Gao, Feng-jie ; Lei, Guo-ping ; Yang, Feng-hai ; Song, Ge ; Ning, Jing ; Wang, Zongming ; Kaishan Song ; Ren, Chunying
Author_Institution :
Coll. of Resources & Environ., Northeast Agric. Univ., Harbin, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
201
Lastpage :
204
Abstract :
The paper achieved identifying the Agricultural Non-point Source Pollution Critical Source Area in Xingkai Lake watershed using pollution index method with the help of RS and GIS. The conclusions were that: (1) the high pollution risk area mainly clustered in the border of ZhiYi, Baipaozi, Xingkaihu and Liumao Towns and the west southern area of Yangmu Town, and the serious soil erosion and high livestock pollution and fertilizer pollution took the main responsibility. (2) The moderate pollution risk distributed in the most of the study area and the high livestock pollution and fertilizer pollution were the reason. (3) The low pollution area located in the south of Farm 857 and the most of Farm Xingkai-hu. The terrain there was quite low and it was the pool for the surrounding area. So it would still threaten the lake under the heavy rainfall.The results revealed that the RS and GIS technology could improve the APPI method accuracy and make the model be in line with the mechanism of the occurrence and migration of the agricultural non-point source pollutants, thus it improved the applicability of the APPI method and could identified the critical source area more quickly and accurately.
Keywords :
agriculture; erosion; fertilisers; geographic information systems; lakes; remote sensing; risk analysis; water pollution; water quality; water resources; APPI method accuracy; Baipaozi; Farm 857; GIS; Liumao; Xingkai-Lake watershed; Xingkai-hu Farm; Xingkaihu; Yangmu; ZhiYi; agricultural nonpoint source pollution; critical source area identification; fertilizer pollution; high livestock pollution; high pollution risk area; pollution index method; remote sensing; soil erosion; Fertilizers; Indexes; Lakes; Soil; Water pollution; Agricultural Non-point Source Pollution; Critical Source Area; MUSLE; Pollution Index; Xingkai Lake watershed;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
Type :
conf
DOI :
10.1109/RSETE.2011.5964250
Filename :
5964250
Link To Document :
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