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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Main Author: Han Longxi
Format: Article
Language:English
Published: Elsevier 2008-03-01
Series:Water Science and Engineering
Subjects:
Online Access:http://www.waterjournal.cn:8080/water/EN/abstract/abstract64.shtml
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spelling 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
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