RESEARCH ARTICLE


Runoff Simulation in Semi-humid Region by Coupling MIKE SHE with MIKE 11



Liuxin *, 1, 2, Wang Dian-wu1, 3, Chi Dao-cai1, Yangning 1, 4
1 Shenyang Agricultural University, Shenyang 110866, China
2 Liaoning Jianghe Water Conservancy and Hydropower New Technology Design Research Institute, Shenyang 110003, China
3 Liaoning Province Department of Water Re-sources, 110003, China
4 Liaoning Academy of Agricultural Sciences, Shenyang 110161, China


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© 2015 Liuxin et al;

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



Abstract

The paper used the coupling of distributed hydrological model MIKE SHE and the hydrodynamic model of MIKE 11, to establish watershed-based rainfall-runoff mode in the sub-humid area of the north China. The hydrologic process of Xiaoling river basin was simulated with the input data, including DEM altitude, weather, vegetation, soil, land uses, etc. Through the sensitivity analysis, the soil roughness factor of overland flow, roughness of runoff, saturated hydraulic conductivity were chosen for main calibration parameters. The simulation consequences showed that the daily runoff simulation, Nash-Suttclife coefficient in the rate of regular (1990-1994/Jinzhou station) and the validation period (1995-1999/Jinzhou station) were 0.636 and 0.582, the correlation coefficient reached 0.839 and 0.788,the rate of regular Ens and R was 0.794,0.863;0.961,0.960 of month scale simulation; verification period of two stations Ens and R for 0.740,0.820;0.911,0.917. The model was practical and reliable in the basin. The simulations showed that correlation coefficients and Nash coefficient (Ens) of long series of the simulation had good accuracy in the model. In median water year, the simulation results would be better.

Keywords: Hydrology models, MIKE SHE, MIKE 11, Correlation coefficient, Nash-Sutcliffe coefficient.