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

WANG Ying; HUANG Mingbin

doi:11894/1005-829x.2008.28(1).54

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

- Optimizing Parameters of SCS -CN Method for Application on the Loess Plateau
- Bulletin of Soiland Water Conservation Vol. 27, Issue 1, Pages: 54-58(2008)
- 作者机构：
  
  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, 陕西杨凌,712100
  2. 中国科学院研究生院,北京,100049
  3. 西北农林科技大学, 陕西杨凌,712100
- 作者简介：
- 基金信息：
- DOI：11894/1005-829x.2008.28(1).54
  CLC： Q945.17
- Published：2008
- 稿件说明：
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WANG Ying, HUANG Mingbin. Optimizing Parameters of SCS -CN Method for Application on the Loess Plateau[J]. Bulletin of Soiland Water Conservation, 2008, 27(1): 54-58.
DOI：

WANG Ying, HUANG Mingbin. Optimizing Parameters of SCS -CN Method for Application on the Loess Plateau[J]. Bulletin of Soiland Water Conservation, 2008, 27(1): 54-58. DOI： 11894/1005-829x.2008.28(1).54.

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CN

值分别是74

72。

Abstract

Runoff is the main factor responsible for soil erosion

so an accurate estimation of runoff is the key to predictand control soil erosion. The Soil Conservation Service curve number (SCS-CN) method is widely used for predicting directrunoff from rainfall in the area withoutobserved 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 thatthe accuracy of runoff prediction by the SCS-CN method with optimizedλand CN2 values is better than thatof the standard CN method. The optimizedλvalue is 0. 01 and the CN2 values are 74

and 72 for millet

alfalfa

and sorghum

respectively.

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