SCS-CN模型在小流域产流计算中的应用  

Application of SCS-CN Model in Runoff Calculation of Small Watershed

作　　者：张晓涵 桑国庆 ZHANG Xiaohan;SANG Guoqing(School of Water Conservancy and Environment,University of Jinan,Jinan 250022,China)

机构地区：[1]济南大学水利与环境学院,山东济南250022

出　　处：《人民黄河》2022年第5期35-39,45,共6页Yellow River

基　　金：山东省水利科研及推广项目(SDSLKY201808)。

摘　　要：山洪灾害的发生与流域产流特性密切相关,科学准确预测流域径流对山洪预警具有重要意义。SCS-CN模型因其计算过程简单、所需参数较少而广泛应用于小流域径流估算,径流曲线数CN和初损率λ是SCS-CN模型中的两个主要参数。选取沂源县为研究区,运用ArcGIS软件计算沂源县24个小流域的CN值,并根据实测降雨径流资料优化初损率λ,确定适用于高村河小流域的初损率λ为0.13,其模型效率系数E为0.789 7,研究得出的径流曲线数和初损率取值可用于沂源县小流域的地表径流预测。The occurrence of mountain flood disaster is closely related to the runoff characteristics of the river basin. It is of great significance to predict the runoff scientifically and accurately. SCS-CN model is widely used in small watershed runoff simulation and estimation because of its simple structure, less parameters and high accuracy of simulation results. The runoff curve number and initial abstraction rate are the two main parameters of SCS-CN model. Taking Yiyuan County as the research area, using ArcGIS software to calculate the runoff curve number of 24 small watersheds in Yiyuan County, and optimizing the initial abstraction rate based on measured rainfall runoff data. The initial abstraction rate for Gaocunhe small watershed was 0.13, and the model efficiency coefficient was 0.789 7. The runoff curve number and initial abstraction rate could be used to predict the surface runoff in the small watershed of Yiyuan County.

关 键 词：SCS-CN模型 小流域 径流曲线数 初损率 

分 类 号：P338[天文地球—水文科学]