Improved flood forecasting using geomorphic unit hydrograph based on spatially distributed velocity field
This paper presents an energy model for determining the overland flow velocity in order to improve the low accuracy problem in flow concentration simulation. It furnishes a novel idea for studying flow concentration in ungauged basins. The model can be widely applied in analysis of spatial velocity...
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IWA Publishing
2021
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oai:doaj.org-article:c1828d1166c047b9903907447555af7f2021-11-05T17:48:50ZImproved flood forecasting using geomorphic unit hydrograph based on spatially distributed velocity field1464-71411465-173410.2166/hydro.2021.135https://doaj.org/article/c1828d1166c047b9903907447555af7f2021-07-01T00:00:00Zhttp://jh.iwaponline.com/content/23/4/724https://doaj.org/toc/1464-7141https://doaj.org/toc/1465-1734This paper presents an energy model for determining the overland flow velocity in order to improve the low accuracy problem in flow concentration simulation. It furnishes a novel idea for studying flow concentration in ungauged basins. The model can be widely applied in analysis of spatial velocity field, extraction of instantaneous geomorphic unit hydrograph and development of distributed hydrological model. A distributed flood-forecasting model is constructed for Lianyuan Basin in Hunan Province of China. In the proposed method, gravitational potential energy is transformed into kinetic energy via an analysis of energy distribution of water particles in the basin. Based on the kinetic energy equation, the overland flow velocity simulating the geomorphic unit hydrograph is computed. Rainfall-runoff simulation is then performed by integrating with runoff yield and concentration model. Results indicate that the model based on energy conversion leads to more accurate results. The model has the following advantages: firstly, the spatial distribution of the velocity field is appropriate; secondly, the model has only one parameter, which is easily determined; and finally, flow velocity results can be used for the computation of river network flow concentration. HIGHLIGHTS Propose a geomorphic unit hydrograph based on the principle of energy conversion.; Develop a distributed flood-forecasting model using the proposed geomorphic unit hydrograph.; The process of parameter determination of the developed model is very simple.; The velocity distribution obtained from the analysis is reasonable.; The developed hydrological model has a significant improvement in flood forecasting accuracy.;Wen-chuan WangYan-wei ZhaoKwok-wing ChauDong-mei XuChang-jun LiuIWA Publishingarticledistributed hydrological modelflood forecastinggeomorphic unit hydrographhydrodynamic energyspatially distributed velocity fieldInformation technologyT58.5-58.64Environmental technology. Sanitary engineeringTD1-1066ENJournal of Hydroinformatics, Vol 23, Iss 4, Pp 724-739 (2021) |
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DOAJ |
language |
EN |
topic |
distributed hydrological model flood forecasting geomorphic unit hydrograph hydrodynamic energy spatially distributed velocity field Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066 |
spellingShingle |
distributed hydrological model flood forecasting geomorphic unit hydrograph hydrodynamic energy spatially distributed velocity field Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066 Wen-chuan Wang Yan-wei Zhao Kwok-wing Chau Dong-mei Xu Chang-jun Liu Improved flood forecasting using geomorphic unit hydrograph based on spatially distributed velocity field |
description |
This paper presents an energy model for determining the overland flow velocity in order to improve the low accuracy problem in flow concentration simulation. It furnishes a novel idea for studying flow concentration in ungauged basins. The model can be widely applied in analysis of spatial velocity field, extraction of instantaneous geomorphic unit hydrograph and development of distributed hydrological model. A distributed flood-forecasting model is constructed for Lianyuan Basin in Hunan Province of China. In the proposed method, gravitational potential energy is transformed into kinetic energy via an analysis of energy distribution of water particles in the basin. Based on the kinetic energy equation, the overland flow velocity simulating the geomorphic unit hydrograph is computed. Rainfall-runoff simulation is then performed by integrating with runoff yield and concentration model. Results indicate that the model based on energy conversion leads to more accurate results. The model has the following advantages: firstly, the spatial distribution of the velocity field is appropriate; secondly, the model has only one parameter, which is easily determined; and finally, flow velocity results can be used for the computation of river network flow concentration. HIGHLIGHTS
Propose a geomorphic unit hydrograph based on the principle of energy conversion.;
Develop a distributed flood-forecasting model using the proposed geomorphic unit hydrograph.;
The process of parameter determination of the developed model is very simple.;
The velocity distribution obtained from the analysis is reasonable.;
The developed hydrological model has a significant improvement in flood forecasting accuracy.; |
format |
article |
author |
Wen-chuan Wang Yan-wei Zhao Kwok-wing Chau Dong-mei Xu Chang-jun Liu |
author_facet |
Wen-chuan Wang Yan-wei Zhao Kwok-wing Chau Dong-mei Xu Chang-jun Liu |
author_sort |
Wen-chuan Wang |
title |
Improved flood forecasting using geomorphic unit hydrograph based on spatially distributed velocity field |
title_short |
Improved flood forecasting using geomorphic unit hydrograph based on spatially distributed velocity field |
title_full |
Improved flood forecasting using geomorphic unit hydrograph based on spatially distributed velocity field |
title_fullStr |
Improved flood forecasting using geomorphic unit hydrograph based on spatially distributed velocity field |
title_full_unstemmed |
Improved flood forecasting using geomorphic unit hydrograph based on spatially distributed velocity field |
title_sort |
improved flood forecasting using geomorphic unit hydrograph based on spatially distributed velocity field |
publisher |
IWA Publishing |
publishDate |
2021 |
url |
https://doaj.org/article/c1828d1166c047b9903907447555af7f |
work_keys_str_mv |
AT wenchuanwang improvedfloodforecastingusinggeomorphicunithydrographbasedonspatiallydistributedvelocityfield AT yanweizhao improvedfloodforecastingusinggeomorphicunithydrographbasedonspatiallydistributedvelocityfield AT kwokwingchau improvedfloodforecastingusinggeomorphicunithydrographbasedonspatiallydistributedvelocityfield AT dongmeixu improvedfloodforecastingusinggeomorphicunithydrographbasedonspatiallydistributedvelocityfield AT changjunliu improvedfloodforecastingusinggeomorphicunithydrographbasedonspatiallydistributedvelocityfield |
_version_ |
1718444123961163776 |