三峡库区面源污染形成的景观阻/动力评价与“源/汇”格局识别（英文）

编号 zgly0001584539

文献类型 期刊论文

文献题名 三峡库区面源污染形成的景观阻/动力评价与“源/汇”格局识别（英文）

作者 王金亮  邵景安  王丹  倪九派  谢德体 

作者单位 CollegeofGeographyandTourism  ChongqingNormalUniversity  KeyLaboratoryofSurfaceProcessandEnvironmentRemoteSensingintheThreeGorgesReservoirArea  CollegeofResourcesandEnvironment  SouthwestUniversity 

母体文献 Journal of Geographical Sciences 

年卷期 2016年10期

年份 2016 

分类号 X524 

关键词 non-pointsourcepollution  landscaperesistance/motivation  distancecost  source/sinklandscape  ThreeGorgesReservoirArea 

文摘内容 Non-point source pollution is one of the primarily ecological issues affecting the Three Gorges Reservoir Area. In this paper, landscape resistance and motivation coefficient, which integrated various landscape elements, such as land use, soil, hydrology, topography, and vegetation, was established based on the effects of large-scale resistance and motivation on the formation of non-point source pollution. In addition, cost models of the landscape resistance and motivation coefficients were constructed based on the distances from the landscape units to the sub-basin outlets in order to identify the source and sink patterns affecting the formation of non-point source pollution. The results indicated that the changes in the landscape resistance and motivation coefficients of the 16 sub-basins exhibited inverse relationships to their spatial distributions. The landscape resistance and motivation cost curves were more volatile than the landscape resistance and motivation coefficient curves. The landscape resistance and motivation cost trends of the 16 sub-basins became increasingly apparent along the flow of the Yangtze River. The landscape resistance and motivation cost models proposed in this paper could be used to identify large-scale non-point source pollution source and sink patterns. Moreover, the proposed model could be used to describe the large-scale spatial characteristics of non-point source pollution formation based on source and sink landscape pattern indices, spatial localization, and landscape resistance and motivation coefficients.