A Re-Parameterized and Improved Nonlinear Muskingum Model for Flood Routing
作者： Omid Bozorg Haddad , Farzan Hamedi , Hosein Orouji , Maryam Pazoki , Hugo A. Loáiciga
DOI: 10.1007/S11269-015-1008-9
关键词:
摘要: The nonlinear form of the Muskingum model has been widely applied to river flood routing. There are four variants based on alternative formulations storage equation. This paper proposes a new with an improved, seven-parameter, proposed provides more degrees freedom in fitting observed hydraulic data than other models. proper estimation model’s parameters is essential achieve accurate flood-routing predictions. introduces hybrid method for parameters. parameter-estimation combines shuffled frog leaping algorithm (SFLA) and Nelder-Mead simplex (NMS). parameter were routing several hydrographs. Our results indicate improved performance methodology described this work when compared those
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