Curve‐Number/Green–Ampt mixed procedure for streamflow predictions in ungauged basins: Parameter sensitivity analysis
Curve‐Number/Green–Ampt mixed procedure for streamflow predictions in ungauged basins: Parameter sensitivity analysis
复制标题
未计量盆地中水流预测的曲线-数/格林-安普特混合程序：参数敏感性分析
DOI：
10.1002/hyp.9749
复制
发表时间：
2013
影响因子：
3.2
通讯作者：
N. Romano
中科院分区：
文献类型：
--
作者：
S. Grimaldi;A. Petroselli;N. Romano
最近开发了一种结合土壤保持服务曲线数（SCS‐CN）方法和Green-Ampt（GA）入渗方程的程序，以克服经典SCS‐CN方法在以亚日时间分辨率估计地表径流量时的一些缺点。这个混合程序的基本原理，称为Green-Ampt曲线编号（CN 4GA），是使用GA入渗模型来分配SCS‐CN方法随时间提供的净雨型（降雨过量）的总体积。初始提取和由SCS-CN方法给出的降雨总量用于识别积水时间并量化GA方程的水力传导系数参数。在本文中，混合CN 4GA参数的敏感性分析，目的是确定的条件下，混合程序可以有效地用于在无资料盆地预测的前景。在选定的输入参数的变化对输出的影响进行评估，使用矩形和三角形合成雨型图，以及100个最大的年暴雨从合成降雨量的时间序列。当应用于极端降水事件时，其特征在于降雨的主要峰值，CN 4GA似乎对土壤的输入水力参数相当不敏感，这是CN 4GA方法的一个有趣的特征，使其成为在无观测站点以亚日时间分辨率进行降雨过量估计的理想候选者。版权所有© 2013约翰威利父子有限公司.
A procedure combining the Soil Conservation Service‐Curve Number (SCS‐CN) method and the Green–Ampt (GA) infiltration equation was recently developed to overcome some of the drawbacks of the classic SCS‐CN approach when estimating the volume of surface runoff at a sub‐daily time resolution. The rationale of this mixed procedure, named Curve Number for Green–Ampt (CN4GA), is to use the GA infiltration model to distribute the total volume of the net hyetograph (rainfall excess) provided by the SCS‐CN method over time. The initial abstraction and the total volume of rainfall given by the SCS‐CN method are used to identify the ponding time and to quantify the hydraulic conductivity parameter of the GA equation. In this paper, a sensitivity analysis of the mixed CN4GA parameters is presented with the aim to identify conditions where the mixed procedure can be effectively used within the Prediction in Ungauged Basin perspective. The effects exerted by changes in selected input parameters on the outputs are evaluated using rectangular and triangular synthetic hyetographs as well as 100 maximum annual storms selected from synthetic rainfall time series. When applied to extreme precipitation events, which are characterized by predominant peaks of rainfall, the CN4GA appears to be rather insensitive to the input hydraulic parameters of the soil, which is an interesting feature of the CN4GA approach and makes it an ideal candidate for the rainfall excess estimation at sub‐daily temporal resolution at ungauged sites. Copyright © 2013 John Wiley & Sons, Ltd.