径流曲线法模型参数在黄土地区的优化研究  

Optimizing Parameters of SCS—CN Method for Application on the Loess Plateau

作　　者：王英[1] 黄明斌[1] 

机构地区：[1]中国科学院水利部水土保持研究所黄土高原土壤侵蚀与旱地农业国家重点实验室

出　　处：《水土保持通报》2008年第1期54-58,共5页Bulletin of Soil and Water Conservation

基　　金：“973计划”课题(2007CB407201);国家自然科学基金(40471062)

摘　　要：降雨径流是引起土壤侵蚀的主要动力,因此准确预测不同下垫面条件下的径流量是进行土壤侵蚀预报和水土流失治理的关键。SCS—CN方法是目前国际上预测无径流观测资料地区降水产流的主要模型。利用黄土高原地区6个试验小区的153场径流试验资料,选取3种具有代表性的土地利用方式:谷子、苜蓿和高粱,对SCS—CN方法在黄土高原的适应性进行了初步检验,优化出了适应黄土高原地区3种土地利用方式的模型参数。结果表明,优化后的模型参数对降雨径流的预测精度明显优于标准SCS—CN法;优化后的λ值为0.01,优化的谷子、苜蓿和高粱地CN2值分别是74,74,72。Runoff is the main factor responsible for soil erosion, so an accurate estimation of runoff is the key to predict and control soil erosion. The Soil Conservation Service curve number （SCS-CN） method is widely used for predicting direct runoff from rainfall in the area without observed runoff data. Using data of 153 runoff events from 6 experimental plots with three landuse types of millet, alfalfa, and sorghum on the Loess Plateau, the applicability of SCS-CN method is validated and the parameters are optimized. Results indicate that the accuracy of runoff prediction by the SCS-CN method with optimized ;t and CN2 values is better than that of the standard CN method. The optimized λ value is 0.01 and the CN2 values are 74, 74, and 72 for millet, alfalfa, and sorghum, respectively.

关 键 词：径流曲线法 径流 初损率 黄土高原 

分 类 号：S157.1[农业科学—土壤学] TV121.1[农业科学—农业基础科学]