Parameter estimation in channel network flow simulation
Simulations of water flow in channel networks require estimated values of roughness for all the individual channel segments that make up a network. When the number of individual channel segments is large, the parameter calibration workload is substantial and a high level of uncertainty in estimated...
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doaj-29688e50f8444162841d0c84931e5c0a2020-11-24T22:49:08ZengElsevierWater Science and Engineering1674-23702405-81062008-03-0111101710.3882/j.issn.1674-2370.2008.01.002Parameter estimation in channel network flow simulationHan Longxi0State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing 210098, P. R. China; College of Hydrology and Water Resources, Hohai University, Nanjing 210098, P. R. ChinaSimulations of water flow in channel networks require estimated values of roughness for all the individual channel segments that make up a network. When the number of individual channel segments is large, the parameter calibration workload is substantial and a high level of uncertainty in estimated roughness cannot be avoided. In this study, all the individual channel segments are graded according to the factors determining the value of roughness. It is assumed that channel segments with the same grade have the same value of roughness. Based on observed hydrological data, an optimal model for roughness estimation is built. The procedure of solving the optimal problem using the optimal model is described. In a test of its efficacy, this estimation method was applied successfully in the simulation of tidal water flow in a large complicated channel network in the lower reach of the Yangtze River in China.http://www.waterjournal.cn:8080/water/EN/abstract/abstract64.shtmlhydrodynamic modelchannel networkflow simulationroughness |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Han Longxi |
spellingShingle |
Han Longxi Parameter estimation in channel network flow simulation Water Science and Engineering hydrodynamic model channel network flow simulation roughness |
author_facet |
Han Longxi |
author_sort |
Han Longxi |
title |
Parameter estimation in channel network flow simulation |
title_short |
Parameter estimation in channel network flow simulation |
title_full |
Parameter estimation in channel network flow simulation |
title_fullStr |
Parameter estimation in channel network flow simulation |
title_full_unstemmed |
Parameter estimation in channel network flow simulation |
title_sort |
parameter estimation in channel network flow simulation |
publisher |
Elsevier |
series |
Water Science and Engineering |
issn |
1674-2370 2405-8106 |
publishDate |
2008-03-01 |
description |
Simulations of water flow in channel networks require estimated values of roughness for all the individual channel segments that make up a network. When the number of individual channel segments is large, the parameter calibration workload is substantial and a high level of uncertainty in estimated roughness cannot be avoided. In this study, all the individual channel segments are graded according to the factors determining the value of roughness. It is assumed that channel segments with the same grade have the same value of roughness. Based on observed hydrological data, an optimal model for roughness estimation is built. The procedure of solving the optimal problem using the optimal model is described. In a test of its efficacy, this estimation method was applied successfully in the simulation of tidal water flow in a large complicated channel network in the lower reach of the Yangtze River in China. |
topic |
hydrodynamic model channel network flow simulation roughness |
url |
http://www.waterjournal.cn:8080/water/EN/abstract/abstract64.shtml |
work_keys_str_mv |
AT hanlongxi parameterestimationinchannelnetworkflowsimulation |
_version_ |
1725677121900118016 |