Recession flow prediction in gauged and ungauged basins by just considering past discharge information

Reddyvaraprasad, Chillara and Patnaik, Swagat and Biswal, Basudev (2019) Recession flow prediction in gauged and ungauged basins by just considering past discharge information. Hydrological Sciences Journal. pp. 1-12. ISSN 0262-6667

Full text not available from this repository. (Request a copy)

Abstract

Two contrasting methods have been proposed recently to predict the recession flow coefficient using past discharge information only. This study proposes a new method that attempts to obtain past discharge information that is minimally influenced by non-subsurface storage-controlled flows. The existing and new methods were tested using data from 324 US Geological Survey basins, and the new method was found to be superior to both existing methods in 265 basins. Furthermore, this study for the first time used past discharge-derived coefficients to predict recession discharge. The model performance was found to be satisfactory (NSE > 0.5) in 244 basins. Our results also show that the new framework may be useful in certain regions for predicting recession discharge in totally ungauged basins using past discharge information from nearby gauged basins. Overall, this study advances the idea that recession discharge can be predicted by just using past discharge data.

[error in script]
IITH Creators:
IITH CreatorsORCiD
Biswal, Basudevhttp://orcid.org/0000-0002-1088-7229
Item Type: Article
Uncontrolled Keywords: past discharge information, prediction in ungauged basins, recession flow, storage–discharge analysis, Indexed in Scopus and WoS
Subjects: Civil Engineering
Divisions: Department of Civil Engineering
Depositing User: Team Library
Date Deposited: 18 Nov 2019 06:06
Last Modified: 18 Nov 2019 06:06
URI: http://raiith.iith.ac.in/id/eprint/7026
Publisher URL: http://doi.org/10.1080/02626667.2019.1643465
Related URLs:

Actions (login required)

View Item View Item
Statistics for RAIITH ePrint 7026 Statistics for this ePrint Item