Application of the SWAT model into the runoff simulation based on SUFI-2 Algorithm in Heihe river basin of Shaanxi Province
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DOI:10.7606/j.issn.1000-7601.2014.05.036
Key Words: SUFI-2 Algorithm  runoff simulation  sensitivity analysis  parameter calibration
Author NameAffiliation
LIU Rui-chong1, HUO Ai-di1, CHEN X H2, WANG Ju-cui1, XI Dan1 (1.长安大学环境科学与工程学院 陕西 西安 710064
2.School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE 68583-0996, USA) 
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Abstract:
      Parameter calibration and sensitivity analysis are very effective methods to improve the accuracy of the model, to determine the key parameters of the model and improve the model structure. Through the SWAT model, this paper simulated the Heihe River Basin, meanwhile carried out the sensitivity analysis for the model parameters based on the SUFI-2 Algorithm. The results shown that:(1) The main factor affecting the accuracy of the runoff simulation results in the Heihe River Basin was the parameter of the scs runoff curve. (2) The model was calibrated and validated by using the measured runoff data of 2005 to 2011, the simulated determination coefficient (R2) and model efficiency coefficients (ENS) were total higher than 0.8. (3) By comparing the SUFI-2 Algorithm with SCE-UA Algorithm, we can find out the SUFI-2 Algorithm with higher accuracy and using short time.