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  • 标题:Parameter estimation of variable-parameter nonlinear Muskingum model using excel solver
  • 本地全文:下载
  • 作者:Ling Kang ; Liwei Zhou
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2018
  • 卷号:121
  • 期号:5
  • 页码:052047
  • DOI:10.1088/1755-1315/121/5/052047
  • 语种:English
  • 出版社:IOP Publishing
  • 摘要:Abstract . The Muskingum model is an effective flood routing technology in hydrology and water resources Engineering. With the development of optimization technology, more and more variable-parameter Muskingum models were presented to improve effectiveness of the Muskingum model in recent decades. A variable-parameter nonlinear Muskingum model (NVPNLMM) was proposed in this paper. According to the results of two real and frequently-used case studies by various models, the NVPNLMM could obtain better values of evaluation criteria, which are used to describe the superiority of the estimated outflows and compare the accuracies of flood routing using various models, and the optimal estimated outflows by the NVPNLMM were closer to the observed outflows than the ones by other models.
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