2011Water Resources and PowerRequires access

Application of SWAT Model to Runoff Simulation in Huangyahe Basin

Jinfeng Zhu

Open publisher page 2 citations

Abstract

The SWAT model is applied to simulate the daily runoff of Huangyahe basin and the sensitivity analysis is implemented for main parameters of the model.Based on the actual hydrological flow data of Liqingdian station,the monthly runoff and daily runoff simulation results are compared,respectively.The result shows that both of the linear regression coefficient and Nash Sutcliffe model efficiency coefficient between simulation and observation are larger than 0.7;it proves that simulation effect is good.Therefore,the SWAT model can be applied to simulate water resources process of this basin.

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What this paper is about

The SWAT model is applied to simulate the daily runoff of Huangyahe basin and the sensitivity analysis is implemented for main parameters of the model.Based on the actual hydrological flow data of Liqingdian station,the monthly runoff and daily runoff simulation results are compared,respectively.The result shows that both of the linear regression coefficient and Nash Sutcliffe model efficiency coefficient between simulation and observation are larger than 0.7;it proves that simulation effect is good.Therefore,the SWAT model can be applied to simulate water resources process of this basin.

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Available abstract

The SWAT model is applied to simulate the daily runoff of Huangyahe basin and the sensitivity analysis is implemented for main parameters of the model.Based on the actual hydrological flow data of Liqingdian station,the monthly runoff and daily runoff simulation results are compared,respectively.The result shows that both of the linear regression coefficient and Nash Sutcliffe model efficiency coefficient between simulation and observation are larger than 0.7;it proves that simulation effect is good.Therefore,the SWAT model can be applied to simulate water resources process of this basin.

Key concepts: SWAT model, Surface runoff, Environmental science, Structural basin, Hydrology (agriculture), Linear regression, Simulation modeling, Sensitivity (control systems)

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