摘要
目前分布式水文模型在我国各种流域的水文过程模拟中已得到广泛的应用,为了深入了解不同分布式水文模型参数在水文循环过程中的影响程度,文中针对贡嘎山海螺沟4种不同植被类型流域,采用扰动分析方法定义模型参数的灵敏度并根据灵敏度的取值分为5级,基于SWAT(Soil&Water Assessment Tool)分布式水文模型研究了模型参数灵敏度在年内夏季和冬季的变化及其对水文过程模拟结果的影响。计算结果表明:冬季模型参数的灵敏度普遍偏高,会出现枯水期径流过程模拟误差较大的现象,而夏季模型参数的灵敏度相对降低;但在同时模拟汛期和枯期的径流过程情况下,前者的误差会小于后者。通过对SWAT模型参数在不同植被类型流域的灵敏度分析,将会有助于减少水文模拟的不确定性或能获得更好的估计结果。
SWAT model（Soil and Water Assessment Tool） is a physical process-based distributed hydrological model,which carries out detailed descriptions to all aspects of the hydrological processes with more complex model structures and more input parameters.In this paper,perturbation analysis method was applied to evaluate the variability of the parameter sensitivities of SWAT in the winter and summer as well as its influence on the modeling results of hydrological processes in four small watersheds with different landscape cover types in Hailuogou Valley.The results showed that the soil water movement was very important in simulated processes of the model,and parameters had different sensitivities in different hydrological basins and different seasons.
出处
《南水北调与水利科技》
CAS
CSCD
2011年第2期41-45,共5页
South-to-North Water Transfers and Water Science & Technology
基金
国家自然科学基金重点项目(40730634-4)
