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Proceedings Paper

Analysis of non-point and point source pollution in China: case study in Shima Watershed in Guangdong Province
Author(s): Huaiyang Fang; Qingshui Lu; Zhiqiang Gao; Runhe Shi; Wei Gao
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Paper Abstract

China economy has been rapidly increased since 1978. Rapid economic growth led to fast growth of fertilizer and pesticide consumption. A significant portion of fertilizers and pesticides entered the water and caused water quality degradation. At the same time, rapid economic growth also caused more and more point source pollution discharge into the water. Eutrophication has become a major threat to the water bodies. Worsening environment problems forced governments to take measures to control water pollution. We extracted land cover from Landsat TM images; calculated point source pollution with export coefficient method; then SWAT model was run to simulate non-point source pollution. We found that the annual TP loads from industry pollution into rivers are 115.0 t in the entire watershed. Average annual TP loads from each sub-basin ranged from 0 to 189.4 ton. Higher TP loads of each basin from livestock and human living mainly occurs in the areas where they are far from large towns or cities and the TP loads from industry are relatively low. Mean annual TP loads that delivered to the streams was 246.4 tons and the highest TP loads occurred in north part of this area, and the lowest TP loads is mainly distributed in middle part. Therefore, point source pollution has much high proportion in this area and governments should take measures to control point source pollution.

Paper Details

Date Published: 24 September 2013
PDF: 7 pages
Proc. SPIE 8869, Remote Sensing and Modeling of Ecosystems for Sustainability X, 88691B (24 September 2013); doi: 10.1117/12.2021594
Show Author Affiliations
Huaiyang Fang, South China Institute of Environmental Sciences (China)
Qingshui Lu, Yantai Institute of Coastal Zone Research (China)
Zhiqiang Gao, Yantai Institute of Coastal Zone Research (China)
Runhe Shi, Colorado State Univ. (United States)
Wei Gao, Colorado State Univ. (United States)

Published in SPIE Proceedings Vol. 8869:
Remote Sensing and Modeling of Ecosystems for Sustainability X
Wei Gao; Thomas J. Jackson; Jinnian Wang; Ni-Bin Chang, Editor(s)

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