Examining runoff generation processes in the Selke catchment in central Germany: Insights from data and semi-distributed numerical model

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...

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Main Authors: Sumit Sinha, Michael Rode, Dietrich Borchardt
Format: Article
Language:English
Published: Elsevier 2016-09-01
Series:Journal of Hydrology: Regional Studies
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214581816300271
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author Sumit Sinha
Michael Rode
Dietrich Borchardt
author_facet Sumit Sinha
Michael Rode
Dietrich Borchardt
author_sort Sumit Sinha
collection DOAJ
description 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.
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spelling doaj.art-0240b48089bc42b3a32ae141c3df9dfc2022-12-22T00:30:48ZengElsevierJournal of Hydrology: Regional Studies2214-58182016-09-017C385410.1016/j.ejrh.2016.06.002Examining runoff generation processes in the Selke catchment in central Germany: Insights from data and semi-distributed numerical modelSumit Sinha0Michael Rode1Dietrich Borchardt2Geography Department, Durham University, Science Site, Durham, DH1 3LE, UKDepartment of Aquatic Ecosystem Analysis, Helmholtz Centre for Environmental Research-UFZ, Bruckstrasse 3a, 39114 Magdeburg, GermanyDepartment of Aquatic Ecosystem Analysis, Helmholtz Centre for Environmental Research-UFZ, Bruckstrasse 3a, 39114 Magdeburg, GermanyStudy 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.http://www.sciencedirect.com/science/article/pii/S2214581816300271Horton runoffDunne runoffRunoff generationSemi-distributed modelHYPE model
spellingShingle Sumit Sinha
Michael Rode
Dietrich Borchardt
Examining runoff generation processes in the Selke catchment in central Germany: Insights from data and semi-distributed numerical model
Journal of Hydrology: Regional Studies
Horton runoff
Dunne runoff
Runoff generation
Semi-distributed model
HYPE model
title Examining runoff generation processes in the Selke catchment in central Germany: Insights from data and semi-distributed numerical model
title_full Examining runoff generation processes in the Selke catchment in central Germany: Insights from data and semi-distributed numerical model
title_fullStr Examining runoff generation processes in the Selke catchment in central Germany: Insights from data and semi-distributed numerical model
title_full_unstemmed Examining runoff generation processes in the Selke catchment in central Germany: Insights from data and semi-distributed numerical model
title_short Examining runoff generation processes in the Selke catchment in central Germany: Insights from data and semi-distributed numerical model
title_sort examining runoff generation processes in the selke catchment in central germany insights from data and semi distributed numerical model
topic Horton runoff
Dunne runoff
Runoff generation
Semi-distributed model
HYPE model
url http://www.sciencedirect.com/science/article/pii/S2214581816300271
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AT michaelrode examiningrunoffgenerationprocessesintheselkecatchmentincentralgermanyinsightsfromdataandsemidistributednumericalmodel
AT dietrichborchardt examiningrunoffgenerationprocessesintheselkecatchmentincentralgermanyinsightsfromdataandsemidistributednumericalmodel