Comment on "Evaluation of a physically based quasi-linear and a conceptually based nonlinear Muskingum methods" [J. Hydrol., 546, 437-449, 10.1016/j.jhydrol.2017.01.025]

被引:3
作者
Barati, Reza [1 ]
机构
[1] Tarbiat Modares Univ, Fac Civil & Environm Engn, Tehran, Iran
关键词
Flood modeling; Lumped and semi-distributed approaches; Muskingum model; Calibration; Validation; PARAMETERS; ROUGHNESS; MODELS;
D O I
10.1016/j.jhydrol.2017.05.006
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Perumal et al. (2017) compared the performances of the variable parameter McCarthy-Muskingum (VPMM) model of Perumal and Price (2013) and the nonlinear Muskingum (NLM) model of Gill (1978) using hypothetical inflow hydrographs in an artificial channel. As input parameters, first model needs the initial condition, upstream boundary condition, Manning's roughness coefficient, length of the routing reach, cross-sections of the river reach and the bed slope, while the latter one requires the initial condition, upstream boundary condition and the hydrologic parameters (three parameters which can be calibrated using flood hydrographs of the upstream and downstream sections). The VPMM model was examined by available Manning's roughness values, whereas the NLM model was tested in both calibration and validation steps. As final conclusion, Perumal et al. (2017) claimed that the NLM model should be retired from the literature of the Muskingum model. While the author's intention is laudable, this comment examines some important issues in the subject matter of the original study. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:218 / 219
页数:2
相关论文
共 20 条
[1]  
[Anonymous], 2016, 2016 IEEE NORDIC CIR
[2]   Analysis of dynamic wave model for flood routing in natural rivers [J].
Barati, Reza ;
Rahimi, Sajjad ;
Akbari, Gholam Hossein .
WATER SCIENCE AND ENGINEERING, 2012, 5 (03) :243-258
[3]   Application of excel solver for parameter estimation of the nonlinear Muskingum models [J].
Barati, Reza .
KSCE JOURNAL OF CIVIL ENGINEERING, 2013, 17 (05) :1139-1148
[4]   Parameter Estimation of Nonlinear Muskingum Models Using Nelder-Mead Simplex Algorithm [J].
Barati, Reza .
JOURNAL OF HYDROLOGIC ENGINEERING, 2011, 16 (11) :946-954
[5]   Application of a Hybrid Optimization Method in Muskingum Parameter Estimation [J].
Bozorg-Haddad, Omid ;
Hamedi, Farzan ;
Fallah-Mehdipour, Elahe ;
Orouji, Hosein ;
Marino, Miguel A. .
JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 2015, 141 (12)
[6]  
Chow V.T., 1959, Open channel flow, V11, P99
[7]   Applying Particle Swarm Optimization to Parameter Estimation of the Nonlinear Muskingum Model [J].
Chu, Hone-Jay ;
Chang, Liang-Cheng .
JOURNAL OF HYDROLOGIC ENGINEERING, 2009, 14 (09) :1024-1027
[8]   Evaluation of nonlinear Muskingum model with continuous and discontinuous exponent parameters [J].
Easa, Said M. .
KSCE Journal of Civil Engineering, 2015, 19 (07) :2281-2290
[9]   Discussion: New and improved four-parameter non-linear Muskingum model [J].
Easa, Said M. ;
Barati, Reza ;
Shahheydari, Hossein ;
Nodoshan, Ehsan Jafari ;
Barati, Tahereh .
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT, 2014, 167 (10) :612-615
[10]   Parameter Estimation of the Nonlinear Muskingum Model Using Parameter-Setting-Free Harmony Search [J].
Geem, Zong Woo .
JOURNAL OF HYDROLOGIC ENGINEERING, 2011, 16 (08) :684-688