Sinha, S orcid.org/0000-0002-9163-7474, Rode, M and Borchardt, D (2016) Examining runoff generation processes in the Selke catchment in central Germany: Insights from data and semi-distributed numerical model. Journal of Hydrology: Regional Studies, 7. pp. 38-54. ISSN 2214-5818
Abstract
Study region: Our study is focussed on a mesoscale catchment, Selke, in central Germany having an area of 463 km² with spatially diverse land-use from upland to the low-lying areas in the vicinity of the catchment outlet.
Study focus: This study used rainfall-runoff data available on daily time step to examine the spatio-temporal variation of runoff coefficients. We then applied a validated semi-distributed hydrological model, HYPE, for examining the spatio-temporal variation of runoff generating mechanisms. HYPE model was modified in a minor fashion and simulations were conducted again to find out the portion of discharge originating from different runoff generation mechanisms.
New hydrological insights for the region: We examined the spatio-temporal variation of runoff generating mechanisms on the sub-basin level on seasonal basis. Our analysis reveals that the runoff generation in the Selke catchment is primarily dominated by shallow sub-surface flow and very rarely the contribution from Dunne overland flow exceeds sub-surface flow. Runoff generated by Hortonian mechanism is very infrequent and almost negligible. We also examined the spatio-temporal variation of runoff coefficients on seasonal basis as well as for individual storms. Due to higher precipitation and topographic relief in the upland catchment of Silberhutte, the runoff coefficients were consistently higher and its peak was found in winter months due to lower evapotranspiration.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2016, Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Horton runoff; Dunne runoff; Runoff generation; Semi-distributed model; HYPE model |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Earth Surface Science Institute (ESSI) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Jul 2018 11:10 |
Last Modified: | 11 Jul 2018 11:10 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.ejrh.2016.06.002 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:133145 |