Plot-scale runoff generation model of lithoid mountainous areas in North China
Received date: 2005-08-10
Revised date: 2006-01-12
Online published: 2006-08-15
The slopes are the basic Runoff Generation cells of the catchment.The study on the slope-scale runoff generation model can give references and proofs to the advanced research on the catchment-scale hydrological models.Thirteen Field Simulated Rainfall Experiments with different rainfall intensities and durations have been taken in a 5m×10m experimental plot of Dongtaigou valley in the mountainous area in North China,and the process of rainfall,surface and subsurface flow and soil water moisture during the experiments have been automatically observed with intervals of 1min.Based on the analysis of the observed data,we constructed a simple and physically based layered combinatorial model,which uses the Horton Infiltration Model for the infiltration and surface flow simulation,and uses the Tank Model for the subsurface flow,to simulate the runoff generation and soil moisture changing.The results simulated by the model have been compared with the measured rainfall-runoff course.The result shows that the layered combinatorial model is practicable in lithoid mountainous areas,where the runoff includes excess infiltration surface flow and excess storage subsurface flow.This model can simulate the surface and subsurface flow and soil moisture simultaneously,but the simulated routing curves some differences with the observed ones.These differences may be produced principally by(1) the predigestion and supposition in the model building phase,(2) the built-in limitation of the mathematical simulation,and(3) the complexity caused by the fluctuating rainfall intensity.It is an attempt on the Slope Runoff-generation Module of the distributed hydrological model in the lithoid mountainous areas in North China.
HU Kun,YU Jing-jie,XIA Jun,SONG Xian-fang,YANG Cong,LI Fa-dong,LIU Xiang-chao,TANG Chang-yuan . Plot-scale runoff generation model of lithoid mountainous areas in North China[J]. GEOGRAPHICAL RESEARCH, 2006 , 25(4) : 673 -680 . DOI: 10.11821/yj2006040014
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