Green-Ampt Curve-Number mixed procedure as an empirical tool for rainfall-runoff modelling in small and ungauged basins

被引:103
作者
Grimaldi, S. [1 ,2 ,3 ]
Petroselli, A. [4 ]
Romano, N. [5 ]
机构
[1] Univ Tuscia, Dipartimento Innovaz Sistemi Biol Agroalimentari, I-01100 Viterbo, Italy
[2] Univ Roma La Sapienza, Honors Ctr, Italian Univ, I-00184 Rome, Italy
[3] NYU, Polytech Inst, Dept Mech & Aerosp Engn, MetroTech Ctr 6, Brooklyn, NY 11201 USA
[4] Univ Tuscia, Dipartimento Sci & Tecnol Agr Foreste Nat & Energ, I-01100 Viterbo, Italy
[5] Univ Naples Federico II, Dipartimento Ingn Agr & Agron Terr, I-80055 Portici, Italy
关键词
SCS-CN method; Green-Ampt method; rainfall excess; ungauged basins; design hydrograph; rainfall-runoff modelling; HYDRAULIC CONDUCTIVITY; SOIL; WATER; PARAMETERS; FLOW; INFILTRATION; HYDROLOGY; MOISTURE; ABUSES; AIR;
D O I
10.1002/hyp.9303
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
The Soil Conservation Service Curve Number (SCS-CN) method is a popular rainfallrunoff model that is widely used to estimate direct runoff from small and ungauged basins. The SCS-CN is a simple and valuable approach to quantify the total streamflow volume generated by storm rainfall, but its use is not appropriate for estimating the sub-daily incremental rainfall excess. To overcome this drawback, we propose to include the Green-Ampt (GA) infiltration model into a mixed procedure, which is referred to as Curve Number for Green-Ampt (CN4GA), aiming to distribute in time the information provided by the SCS-CN method. For a given storm, the computed SCS-CN total net rainfall amount is employed to calibrate the soil hydraulic conductivity parameter of the GA model. The proposed procedure is evaluated by analysing 100 rainfallrunoff events that were observed in four small catchments of varying size. CN4GA appears to provide encouraging results for predicting the net rainfall peak and duration values and has shown, at least for the test cases considered in this study, better agreement with the observed hydrographs than the classic SCS-CN method. Copyright (c) 2012 John Wiley & Sons, Ltd.
引用
收藏
页码:1253 / 1264
页数:12
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