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Analysis of non-point and point source pollution in China - Case study in Shima watershed in Guangdong Province

  • Huaiyang Fang
  • , Qingshui Lu*
  • , Zhiqiang Gao
  • , Runhe Shi
  • , Wei Gao
  • *此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名Remote Sensing and Modeling of Ecosystems for Sustainability X
出版商SPIE
ISBN(印刷版)9780819497192
DOI
出版状态已出版 - 2013
已对外发布
活动Remote Sensing and Modeling of Ecosystems for Sustainability X - San Diego, CA, 美国
期限: 26 8月 201329 8月 2013

出版系列

姓名Proceedings of SPIE - The International Society for Optical Engineering
8869
ISSN(印刷版)0277-786X
ISSN(电子版)1996-756X

会议

会议Remote Sensing and Modeling of Ecosystems for Sustainability X
国家/地区美国
San Diego, CA
时期26/08/1329/08/13

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 2 - 零饥饿
    可持续发展目标 2 零饥饿
  2. 可持续发展目标 8 - 体面工作和经济增长
    可持续发展目标 8 体面工作和经济增长
  3. 可持续发展目标 11 - 可持续城市和社区
    可持续发展目标 11 可持续城市和社区

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