南京林业大学学报(自然科学版) ›› 2000, Vol. 24 ›› Issue (06): 31-35.doi: 10.3969/j.jssn.1000-2006.2000.06.007

• 研究论文 • 上一篇    下一篇

太湖流域水土流失影响因素及土壤侵蚀预报模型

王琛瑞;张金池   

  1. 南京林业大学森林资源与环境学院;江苏南京210037;南京林业大学森林资源与环境学院;江苏南京210037
  • 出版日期:2000-12-18 发布日期:2000-12-18

The Influential Factors Analysis and Forecasting Model Development of Soil Erosion in Taihu Valley

WANG Chen rui,ZHANG Jin chi   

  1. College of Forest Resources and Environment Nanjing Forestry University, Nanjing 210037, China
  • Online:2000-12-18 Published:2000-12-18

摘要: <正>对太湖流域影响水土流失的气候、土壤、地质地形、植被和人为因素进行了统计分析 ,总结归纳了水土流失发生、发展的时空规律。并在影响水土流失单因素分析、评价基础上 ,选取坡位、地形、坡度、土壤类型、有效土层厚度、植被盖度和土地利用类型七个指标为自变量 ,年土壤侵蚀模数为因变量 ,利用数量化模型I对 87块模式样地进行回归分析 ,获得形如 :Yk =B0 +Σp1+1j =1Σm1i=1B(j,i) φk(j,i) +Σpj=p1+1B(j)Xkj的土壤侵蚀预报模型 ,运用该模型可以预测太湖流域不同土地利用类型的年土壤侵蚀模数 ,达到及时准确地掌握水土流失发生、发展的动态 ,为水土流失的分区防治奠定了理论基础

Abstract: The paper mainly deals with the analysis of influential factors and the development of the forecasting model of soil erosion in Taihu valley. The influential factors such as climate, soil types, geologic conditions, vegetation coverage and land-usage were qualitatively and quantitatively analyzed and summarized according to the principles of soil erosion.A mathematical model of soil erosion was developed in a small scale for predicting the happening and development of soil erosion by taking slope position, slope form, slope degrees, soil depth, vegetation coverage and land-usage as independent variables and the module of soil erosion as a dependent on the basis of regression analysis. A forecasting model of soil erosion in Taihu valley developed is as follows:Y k=B 0+ΣP1+1j=1Σm1i=1B(j,i)φ k(j,i)+Σpj=p1+1B(j)X kj 

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