| Soil erosion and the resulted problems such as river clogging, flooding, nutrition lost, soil degregation and water body pollution are not only concerned worldwide, but also a key issue concerned about China' s sustainable development . This research focuses on setting up a suitable soil erosion quantitative prediction model and its relevant parameters information, to provide foudation for the next step of soil and water loss treatment in Changting .Changting is the studied area in this paper , because it is one of the counties which get the most serious water and soil loss in South granite region in our country . It is a county whose water and soil loss is long in history, wide in area and serious in damage , spreading from Hetian , the center of this county . The serious situation of its soil and water loss deeply restricts its economics developing and becomes the main reason of its poverty. Through in-depth study of the current soil erosion prediction models, based on the study' s research objective and pratical situation, I established a soil erosion model and its relevant prameters computation method with the combination of USLE model as the prototype and spatial analysis of GIS software and remote sensing technology.USLE (universal soil loss equation): A= R·K·L·S·C·P (A stands for the soil loss amout).The computation of the five soil erosion factor parameters:R, rainfall erosivity index, R=∑i120.536·Pi0.855;K, soil erodibility factor, its values come from the main types of soil in Changting: red soil, 0.224; eroed red soil, 0.271; yellow-red soil, 0.230; yellow soil, 0.228; meadow soil, 0.244; purple soil, 0.213; LS, the slope and aspect factor, named terrain factor as well,... |
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