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基于SUFI-2算法的SWAT模型在陕西黑河流域径流模拟中的应用

刘睿翀 霍艾迪 Chen XH 王菊翠 席丹

干旱地区农业研究Issue(5):213-217,222,6.
干旱地区农业研究Issue(5):213-217,222,6.

基于SUFI-2算法的SWAT模型在陕西黑河流域径流模拟中的应用

Application of the SWAT model into the runoff simulation based on SUFI-2 Algorithm in Heihe river basin of Shaanxi Province

刘睿翀 1霍艾迪 1Chen XH 2王菊翠 1席丹1

作者信息

  • 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
  • 折叠

摘要

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 re-sults 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 201 1,the simulated determination coefficient (R2)and model efficiency coeffi-cients (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 .

关键词

SUFI-2算法/径流模拟/敏感性分析/参数率定

Key words

SUFI-2 Algorithm/runoff simulation/sensitivity analysis/parameter calibration

分类

农业科技

引用本文复制引用

刘睿翀,霍艾迪,Chen XH,王菊翠,席丹..基于SUFI-2算法的SWAT模型在陕西黑河流域径流模拟中的应用[J].干旱地区农业研究,2014,(5):213-217,222,6.

基金项目

国家自然科学基金项目“半干旱河流潜流带中淤塞-去淤塞的机理研究”(41072183);省级大学生创新创业训练计划 ()

干旱地区农业研究

OACSCDCSTPCD

1000-7601

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