Improved regional hydrologic modelling by assimilation of streamflow data into a regional hydrologic model

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Title:Main Title: Improved regional hydrologic modelling by assimilation of streamflow data into a regional hydrologic model
Description:Abstract: River streamflow is closely related to the surface runoff over a river basin. It is a quantity which can be measured with relatively high accuracy. In regional hydrologic models, surface runoff is usually calculated as the residuum of the surface water balance equation and is one of the most uncertain model outputs, especially for mountainous areas. In this paper, we propose a simple method within the framework of a regional hydrologic modelling system (RHMS), which integrates a hydrologic model and a land surface model, to constrain the estimates of surface runoff through progressive assimilation of observed streamflow data based on the channel flow equation. The proposed method is applied to a subbasin of the Huaihe River Basin in East China, and numerical experiments are carried out to test the effectiveness of successively (from upstream to downstream) assimilating the streamflow data collected at three hydrological stations to RHMS. It is found that with the assimilation, the timing and magnitudes of the modelled flood peaks are much improved and the correction of surface runoff is substantial. The numerical results demonstrate the usefulness of the new method in improving the RHMS runoffstreamflow simulation as well as providing better initial conditions (e.g. channel water heights) for flood forecasting.
Identifier:10.1016/j.envsoft.2011.12.005 (DOI)
Responsible Party
Creators:Shaofeng Liu (Author), Yaping Shao (Author), Chuanguo Yang (Author), Zhaohui Lin (Author), Min Li (Author)
Publisher:Elsevier B.V
Publication Year:2013
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Filename:2012_Liu_EMS.pdf
Data Type:Text - Article
Size:9 Pages
File Size:1.2 MB
Dates:Accepted: 20.12.2011
Issued: 09.01.2012
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
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Download Permission:Only Project Members
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:[TR32DB] Data policy agreement
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Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Environmental Modelling & Software
Source Website:www.elsevier.com/locate/envsoft
Volume:31
Number of Pages:9 (141 - 149)
Metadata Details
Metadata Creator:Shaofeng Liu
Metadata Created:03.12.2013
Metadata Last Updated:03.12.2013
Subproject:D6
Funding Phase:2
Metadata Language:English
Metadata Version:V50
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