DocumentCode :
560749
Title :
Spatial Distribution Characteristics of Non-Point Source Pollution of Xingkai Lake Irrigation District Based on L-THIA Model
Author :
Chunying, Ren ; Zongming, Wang ; Sumei, Zhang
Author_Institution :
Northeast Inst. of Geogr. & Agroecology, Changchun, China
fYear :
2011
fDate :
8-9 Oct. 2011
Firstpage :
487
Lastpage :
489
Abstract :
Agriculture has been identified as the largest contributor of non-point source (NPS) pollution of surface and ground water systems globally. Estimation of non-point source pollution under different land uses is an important task in non-point pollution control in China. Taking Mishan city in Xingkai lake irrigation district as the study area, with the help of GIS and RS technology, the long-term average pollution loads in Mishan city were estimated using the Long-Term Hydrologic Impact Assessment (L-THIA) model. The spatial distribution characteristics of the pollutants were analyzed, including total nitrogen, nitrate nitrogen, total phosphorus and suspended solids. Results indicated that the spatial distribution of the four non-point pollutants is quite identical. The total loads of four pollutants were different under different land use types, and the agricultural land had the most important impact on non-point pollution in the study area. Forests and grassland contributed more to the retention of the pollutants in this area. The result of this research showed that L-THIA model is available for the spatial distribution of non-point pollution and it can provide the service for planning and management of the watershed.
Keywords :
geographic information systems; hydrological techniques; lakes; remote sensing; vegetation; water pollution measurement; China; GIS technology; L-THIA model; Long-Term Hydrologic Impact Assessment; Mishan city; RS technology; Xingkai lake; agricultural land; ground water system; lake irrigation district; nitrate nitrogen; nonpoint source pollution; pollutant characteristics; spatial distribution characteristics; surface water system; suspended solids; total nitrogen; total phosphorus; Cities and towns; Load modeling; Nitrogen; Soil; Water pollution; Water resources; L-THIA model; Land use; Mishan City; Xingkai irrigation district; non-point pollution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4577-1788-8
Type :
conf
DOI :
10.1109/KAM.2011.132
Filename :
6137687
Link To Document :
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