Temporal-spatial characteristics of the transport flux of non-point source pollution in Lake Dishui watershed in Shanghai

Lv Yong-peng; YANG Kai; CHE Yue; XIE Sheng; LIU Chen; REN Xiang-yu; SHANG Zhao-yi

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Article Navigation > Journal of East China Normal University (Natural Sciences) > 2012 > (6): 1-12,38

Lv Yong-peng, YANG Kai, CHE Yue, XIE Sheng, LIU Chen, REN Xiang-yu, SHANG Zhao-yi. Temporal-spatial characteristics of the transport flux of non-point source pollution in Lake Dishui watershed in Shanghai[J]. Journal of East China Normal University (Natural Sciences), 2012, (6): 1-12,38.

Citation:

Lv Yong-peng, YANG Kai, CHE Yue, XIE Sheng, LIU Chen, REN Xiang-yu, SHANG Zhao-yi. Temporal-spatial characteristics of the transport flux of non-point source pollution in Lake Dishui watershed in Shanghai[J]. Journal of East China Normal University (Natural Sciences), 2012, (6): 1-12,38.

Citation:

Lv Yong-peng, YANG Kai, CHE Yue, XIE Sheng, LIU Chen, REN Xiang-yu, SHANG Zhao-yi. Temporal-spatial characteristics of the transport flux of non-point source pollution in Lake Dishui watershed in Shanghai[J]. Journal of East China Normal University (Natural Sciences), 2012, (6): 1-12,38.

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Temporal-spatial characteristics of the transport flux of non-point source pollution in Lake Dishui watershed in Shanghai

1.
Shanghai Municipal Engineering Design Institute (Group) CO., LTD., Shanghai 200092, China;
2.
Shanghai Key Laboratory of Urbanization Ecological Restoration, East China Normal University, Shanghai 200062, China

Received Date: 2012-03-01
Rev Recd Date: 2012-06-01
Publish Date: 2012-11-25

Abstract

Abstract

In this paper, the semi-distributed calculation method for the transport flux of the non-point source (NPS) at the watershed scale in the tidal plain of eastern China was proposed based on the classical export coefficient modeling approach, and the method was applied to the case of Lake Dishui watershed in Shanghai. The results show that: (1) among land use, rainfall and scattered-rural sewage, land use has been the biggest NPS; (2) from 1965 to 2008, NPS pollution has been increasing through three stages of unobvious, preliminary obvious and very obvious; (3) the spatial distribution of the transport flux of NPS in 13 secondary sub-watersheds and 137 tertiary sub-watersheds is in association with the functional orientation of sub-watersheds, the degree of urbanization and the effective green area.
- non-point source (NPS),
- transport flux,
- export coefficient modeling approach,
- effective green area,
- watershed,
- tidal plain,
- Lake Dishui

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References(1)

References

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