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Study on Fractal Characteristics of Soil Erosion Influencing Factors in Dianchi Basin Based on GIS

Author: FengMan
Tutor: ZhangZheng
School: Beijing Forestry University
Course: Environmental Science
Keywords: Soil Erosion Fractal Terrain Water system Land use
CLC: S157
Type: Master's thesis
Year: 2011
Downloads: 111
Quote: 1
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Abstract


Dianchi Lake Basin study area, calculated based on fractal theory basin critical soil erosion affect the fractal dimension value factor (contour topography, river network and land use), through the analysis of the physical meaning of the fractal dimension of each factor and fitting Dianchi Lake Basin Soil Erosion inherent mechanism to explore them with a non-linear relationship between soil erosion and useful exploration of fractal theory in soil erosion prediction. On the basis of information extracted contours, slope and river network, the paper first study area was divided into two one partition of the hilly and mountainous areas and plains areas and 107 sub-basin. Complete the calculation of the fractal dimension values ??of the different extraction spacing, changes in the value of the fractal dimension of the basin as a whole different set of flow threshold, the area of ??hilly and mountainous areas and plains region overall value of the fractal dimension changes as well as changes of the the unit fractal dimension values ??for each sub-basin comparative analysis reveals behind fractal dimension values ??of the various types of physical meaning and their close relationship between. Finally, the use of factor analysis and BP neural network nonlinear fitting of soil erosion fractal dimension and the fractal dimension of contour topography, drainage system and land use. In this study, the following conclusions: With extract pitch from 5-100m increments, the watershed contour the morphology score dimension values ??decreasing from 1.6729-1.4386 hilly and mountainous areas the morphology score dimensional contour values, each sub-basin pole and average values ??are greater than the plain area. Extracting drainage collector current threshold increments from 100-1500m, drainage network score dimension values ??decreasing from 1.2665-1.0702. The collector threshold and the fractal dimension of the corresponding water system logarithmic regression correlation coefficients of 0.9984, for the water system in the GIS automatically extract process to determine reasonable range of threshold current collector provides a new idea. The plain area water system score dimensional value, average fractal dimension of each sub-basin water system are greater than the hilly and mountainous areas. By contrast hilly and mountainous areas and plains three land use type, dimension and stability index, hilly area three land use score dimension greater than the plain area, the two areas are the most stable woodland, hilly area grasslands and plains area of ??arable fractal dimension values, the most unstable. Proven by impact factor fractal dimension of fractal dimension values ??as input soil erosion prediction model has better stability and reliability. R-value of the correlation coefficient, there is still much room for growth, still need to join the other input factors additional relevant information.

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CLC: > Agricultural Sciences > Agriculture as the foundation of science > Soil > Soil and Water Conservation
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