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- 2019
SCS-CN模型的改进及其空间尺度效应Keywords: SCS-CN模型,参数敏感性分析,空间尺度效应,淮河上游,SCS-CN model,parameter sensitivity analysis,daily runoff simulation,spatial scale effect,upstream of Huaihe River Abstract: SCS-CN (Soil Conservation Service Curve Number) 模型是广泛应用经验性水文模型,其模型参数的确定与空间尺度效应对径流模拟结果有着重要的影响。选取淮河上游为研究区,分析SCS-CN模型参数的敏感性并对模型进行改进,探讨了9种栅格尺度(100~2 000 m)下径流模拟结果的空间尺度效应。研究结果表明:SCSCN模型输入参数中,系数b的敏感性高于初损系数(λ),将参数b值作为模型需要修正的参数;随着空间尺度增加,下垫面各要素的尺度变化使得参数b呈指数递减趋势;模型模拟精度的最佳空间尺度范围是250~500 m尺度。 The Soil Conservation Service Curve Number (SCS-CN) method is a widely used empirical hydrologic model.Determination of its parameters and spatial scale effect of parameters have important influences on the accuracy of runoff simulations.With the upstream area of Huaihe River as the research area,we analyzed the sensitivity of SCS-CN model [JP]parameters and further modified the model.Spatial scale effects of parameters were analyzed based on the runoff simulation results at nine spatial resolutions (100 m~2 000 m).The results show that the sensibility of the basin water storage capacity parameter b was higher than that of the initial abstraction ratio (λ),which should be calibrated in the model.The spatial resolutions of underlying surface features had an important effect on the calibrated parameter b,which showed an exponential decreasing trend as the pixel scale increased.The optimal spatial resolution of the modified SCS model was 250500 m. 国家自然科学基金(41801075);中国科学院流域地理学重点实验室开放基金(WSGS2017009);江苏省高等学校自然科学研究项目(18KJB170002);中国博士后科学基金(2018M642349)
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