Literature DB >> 23911622

A method to analyze "source-sink" structure of non-point source pollution based on remote sensing technology.

Mengzhen Jiang1, Haiying Chen, Qinghui Chen.   

Abstract

With the purpose of providing scientific basis for environmental planning about non-point source pollution prevention and control, and improving the pollution regulating efficiency, this paper established the Grid Landscape Contrast Index based on Location-weighted Landscape Contrast Index according to the "source-sink" theory. The spatial distribution of non-point source pollution caused by Jiulongjiang Estuary could be worked out by utilizing high resolution remote sensing images. The results showed that, the area of "source" of nitrogen and phosphorus in Jiulongjiang Estuary was 534.42 km(2) in 2008, and the "sink" was 172.06 km(2). The "source" of non-point source pollution was distributed mainly over Xiamen island, most of Haicang, east of Jiaomei and river bank of Gangwei and Shima; and the "sink" was distributed over southwest of Xiamen island and west of Shima. Generally speaking, the intensity of "source" gets weaker along with the distance from the seas boundary increase, while "sink" gets stronger.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Grid Landscape Contrast Index; Remote sensing; “Source–sink” structure

Mesh:

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Year:  2013        PMID: 23911622     DOI: 10.1016/j.envpol.2013.07.006

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  2 in total

Review 1.  Mapping the scientific research on non-point source pollution: a bibliometric analysis.

Authors:  Beibei Yang; Kai Huang; Dezhi Sun; Yue Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2016-12-08       Impact factor: 4.223

2.  Modeling Land Use Changes and their Impacts on Non-Point Source Pollution in a Southeast China Coastal Watershed.

Authors:  Xin Zhang; Lin Zhou; Yuqi Liu
Journal:  Int J Environ Res Public Health       Date:  2018-07-27       Impact factor: 3.390

  2 in total

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