Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/91110
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Civil and Environmental Engineering | en_US |
| dc.creator | Wang, WC | en_US |
| dc.creator | Zhao, YW | en_US |
| dc.creator | Chau, KW | en_US |
| dc.creator | Xu, DM | en_US |
| dc.creator | Liu, CJ | en_US |
| dc.date.accessioned | 2021-09-09T03:39:47Z | - |
| dc.date.available | 2021-09-09T03:39:47Z | - |
| dc.identifier.issn | 1464-7141 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/91110 | - |
| dc.language.iso | en | en_US |
| dc.publisher | International Water Association Publishing | en_US |
| dc.rights | © 2021 The Authors | en_US |
| dc.rights | This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/). | en_US |
| dc.rights | The following publication Wang, W. C., Zhao, Y. W., Chau, K. W., Xu, D. M., & Liu, C. J. (2021). Improved flood forecasting using geomorphic unit hydrograph based on spatially distributed velocity field. Journal of Hydroinformatics, 23(4), 724-739 is available at https://doi.org/10.2166/hydro.2021.135. | en_US |
| dc.subject | Distributed hydrological model | en_US |
| dc.subject | Flood forecasting | en_US |
| dc.subject | Geomorphic unit hydrograph | en_US |
| dc.subject | Hydrodynamic energy | en_US |
| dc.subject | Spatially distributed velocity field | en_US |
| dc.title | Improved flood forecasting using geomorphic unit hydrograph based on spatially distributed velocity field | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | 724 | en_US |
| dc.identifier.epage | 739 | en_US |
| dc.identifier.volume | 23 | en_US |
| dc.identifier.issue | 4 | en_US |
| dc.identifier.doi | 10.2166/hydro.2021.135 | en_US |
| dcterms.abstract | 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. | en_US |
| dcterms.abstract | 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. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Journal of hydroinformatics, 1 July 2021, v. 23, no. 4, 724-739 | en_US |
| dcterms.isPartOf | Journal of hydroinformatics | en_US |
| dcterms.issued | 2021-07-01 | - |
| dc.identifier.isi | WOS:000646254700001 | - |
| dc.description.validate | 202109 bchy | en_US |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_Scopus/WOS | - |
| dc.description.pubStatus | Published | en_US |
| dc.description.TA | IWAP (2023) -“Subscribe to Open” since 2021 | en_US |
| dc.description.oaCategory | TA | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Chau_Improved_flood_forecasting.pdf | 630.04 kB | Adobe PDF | View/Open |
Page views
122
Last Week
0
0
Last month
Citations as of Oct 6, 2025
Downloads
50
Citations as of Oct 6, 2025
SCOPUSTM
Citations
7
Citations as of Jun 21, 2024
WEB OF SCIENCETM
Citations
16
Citations as of Dec 18, 2025
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.



