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Article: Streamflow prediction in ungauged basins by regressive regionalization: A case study in Huai River Basin, China

TitleStreamflow prediction in ungauged basins by regressive regionalization: A case study in Huai River Basin, China
Authors
KeywordsStreamflow prediction
Ungauged basins
Huai River Basin
Regressive regionalization
Issue Date2016
Citation
Hydrology Research, 2016, v. 47, n. 5, p. 1053-1068 How to Cite?
Abstract© 2016 IWA Publishing. Streamflow information is of great significance for flood control, water resources utilization and management, ecological services, etc. Continuous streamflow prediction in ungauged basins remains a challenge, mainly due to data paucity and environmental changes. This study focuses on the modification of a nonlinear hydrological system approach known as the time variant gain model and the development of a regressive method based on the modified approach. This method directly correlates rainfall to runoff through physically based mathematical transformations without requiring additional information of evaporation or soil moisture. Also, it contains parsimonious parameters that can be derived from watershed properties. Both characteristics make this method suitable for practical uses in ungauged basins. The Huai River Basin of China was selected as the study area to test the regressive method. The results show that the proposed methodology provides an effective way to predict streamflow of ungauged basins with reasonable accuracy by incorporating regional watershed information (soil, land use, topography, etc.). This study provides a useful predictive tool for future water resources utilization and management for data-sparse areas or watersheds with environmental changes.
Persistent Identifierhttp://hdl.handle.net/10722/277659
ISSN
2021 Impact Factor: 2.752
2020 SCImago Journal Rankings: 0.665
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorSong, Jiyun-
dc.contributor.authorXia, Jun-
dc.contributor.authorZhang, Liping-
dc.contributor.authorWang, Zhi Hua-
dc.contributor.authorWan, Hui-
dc.contributor.authorShe, Dunxian-
dc.date.accessioned2019-09-27T08:29:37Z-
dc.date.available2019-09-27T08:29:37Z-
dc.date.issued2016-
dc.identifier.citationHydrology Research, 2016, v. 47, n. 5, p. 1053-1068-
dc.identifier.issn1998-9563-
dc.identifier.urihttp://hdl.handle.net/10722/277659-
dc.description.abstract© 2016 IWA Publishing. Streamflow information is of great significance for flood control, water resources utilization and management, ecological services, etc. Continuous streamflow prediction in ungauged basins remains a challenge, mainly due to data paucity and environmental changes. This study focuses on the modification of a nonlinear hydrological system approach known as the time variant gain model and the development of a regressive method based on the modified approach. This method directly correlates rainfall to runoff through physically based mathematical transformations without requiring additional information of evaporation or soil moisture. Also, it contains parsimonious parameters that can be derived from watershed properties. Both characteristics make this method suitable for practical uses in ungauged basins. The Huai River Basin of China was selected as the study area to test the regressive method. The results show that the proposed methodology provides an effective way to predict streamflow of ungauged basins with reasonable accuracy by incorporating regional watershed information (soil, land use, topography, etc.). This study provides a useful predictive tool for future water resources utilization and management for data-sparse areas or watersheds with environmental changes.-
dc.languageeng-
dc.relation.ispartofHydrology Research-
dc.subjectStreamflow prediction-
dc.subjectUngauged basins-
dc.subjectHuai River Basin-
dc.subjectRegressive regionalization-
dc.titleStreamflow prediction in ungauged basins by regressive regionalization: A case study in Huai River Basin, China-
dc.typeArticle-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.2166/nh.2015.155-
dc.identifier.scopuseid_2-s2.0-84996477500-
dc.identifier.volume47-
dc.identifier.issue5-
dc.identifier.spage1053-
dc.identifier.epage1068-
dc.identifier.eissn2224-7955-
dc.identifier.isiWOS:000385992900011-
dc.identifier.issnl1998-9563-

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