Advanced search
    LI Yun-kai, YANG Pei-ling, TIAN Ying-jie, REN Shu-mei, ZHAO Huan-xun. Application of Support Vector Regression method in predicting soil erosion intensity of small watershed in the insensitive erosion areas[J]. Journal of Beijing Forestry University, 2007, 29(3): 93-98. DOI: 10.13332/j.1000-1522.2007.03.015
    Citation: LI Yun-kai, YANG Pei-ling, TIAN Ying-jie, REN Shu-mei, ZHAO Huan-xun. Application of Support Vector Regression method in predicting soil erosion intensity of small watershed in the insensitive erosion areas[J]. Journal of Beijing Forestry University, 2007, 29(3): 93-98. DOI: 10.13332/j.1000-1522.2007.03.015

    Application of Support Vector Regression method in predicting soil erosion intensity of small watershed in the insensitive erosion areas

    • oil erosion is a very complex physical process and it is difficult to be characterized by mathematic equations.In allusion to the problems of indistinct mechanism of soil erosion and difficultly collecting of basic data,Support Vector Regression(SVR) was introduced to predict the soil erosion of small watershed exploringly.Taking the most intensive soil erosion watershed in Huangfuchuan Catchments as an example,the predicting model with SVR method for soil erosion modulus was formed.It indicates that the SVR method is more excellent than the general method.Based on the soil erosion data reflecting the soil erosion rules,forming the predicting model with SVR method for soil erosion is an integrated embodiment for the complex process of soil erosion.
    • loading

    Catalog

      Turn off MathJax
      Article Contents

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return