Nonlinear Muskingum model for flood routing in irrigation canals using storage moving average.
作者： Farzan Hamedi , Omid Bozorg-Haddad , Hossein Orouji , Elahe Fallah-Mehdipour , Hugo A. Loáiciga
DOI: 10.1061/(ASCE)IR.1943-4774.0001000
关键词:
摘要: The Muskingum routing method involves the calculation of storage volume in river reaches. accurate is difficult to achieve with nonlinear model (NMM). This paper couples moving average (SMA) NMM produce a (MUSSMAM), which has improved accuracy and output hydrograph over NMM. parameters weighting coefficients SMA are treated as dimensionless combined MUSSMAM formulation. A hybrid that merges generalized reduced gradient (GRG) solver an evolutionary (EV) employed obtain best combination parameter values MUSSMAM. sum squared deviation (SSQ) between observed routed inflows objective function optimized GRG-EV solver. proposed tested experimental, real, multimodal hydrograph-routing problems. These results demonstrate reduces SSQ by 2, 10, 29 percent compared problems, respectively.
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