摘要
SCS模型在降雨径流关系上,考虑了土壤类型、土地利用和前期土壤含水量状况,使产流计算建立在较合理的基础上。但由于反映上述因素的综合指标CN的地区性、前期土壤含水量分级太粗、土壤分类的不通用性等,在我国直接应用误差太大。本文分析了误差太大的原因,提出了对SCS模型产流计算的改进方法;并采用土壤质地分类,提出用混合聚类法进行土壤分类。改进后的SCS模型产流计算不仅提高了精度,还可用来进行降雨径流预报。
SCS model is a small basin design flood model proposed by Soil Conservation Service (SCS) of USDA. At rainfall-runoff relationship, SCS model gives consideration to land used, soil type and antecedent soil moisture. Because the model tallies with the actual situation at rainfall runoff computation and is simple in structure, this model finds wide application. But soil classification and Runoff Curve Number (CN) in the model are restricted by region, it isn't suited to China. In this paper, we propose the formula to calculate the initial abstraction (Ia) and potential maximum retention (S), as well as the soil type classified by soil texture and application of remotely sensed data. The rationality of improved SCS model is proved by rainfall-runoff calculation in Chuzhou exprimental basin, Anhui province.
出处
《环境遥感》
CSCD
1992年第4期243-250,共8页
基金
水利水电基金
关键词
产流
土壤质地
遥感
SCS模型
Calculation of run off yield Soil texture Complex cluster
