Researched on Time-space Evolution Characteristics of Waterpower Desertification in the Three Gorges Reservoir Area of Chongqing
With the increasingly number of material that human needs,the problems of unreasonable land use and low vegetation coverage are causing the formation and aggravation of waterpower desertification.Land as human central production element and the vector of ecological environment will be affected directly by waterpower desertification.Based on RS and GIS technology,this paper synthetically applied the methods of atlas analysis,topographic gradient and amplitude analysis.Time-space evolution characteristics of waterpower desertification were studied through the analyzing of the dynamic change law of waterpower desertification in the Three Gorges Reservoir Area of Chongqing from 2003 to 2011.The results show that the effect of water storage on waterpower desertification is rising.Time-space evolution characteristics of waterpower desertification is notable relatively around the Three Gorges Reservoir Area.The distribution of spatial structure,quantitative change,and the type f changing map basing on terrain feature at different waterpower desertification degrees have presented obvious differences in the Three Gorges Reservoir Area of Chongqing.During 8 years,the improvement trend of waterpower desertification is not apparent.The time-space evolution characteristics of waterpower desertification have appeared the most unstable trend in the area of the low-grade waterpower desertification,and the time-space evolution characteristics of waterpower desertification in the area that slope in 15°～25°and elevation in 500～1 200 m is also unstable.There is a close relationship between terrain factor and waterpower desertification.This paper aims to provide reference to choose the area of land development and consolidation or protect the ecological environment in Three Gorges Reservoir Area of Chongqing.
waterpower desertificationatlas analysistopographic gradientRS and GISThree Gorges Reservoir Area
国家科技期刊平台
NSTL
万方数据
维普
