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Influence of alternative representations of land use and geology on distributed hydrological modelling results: Eddleston, Scotland

Ruman, S; Ball, T; Black, AR; Thompson, JR; (2021) Influence of alternative representations of land use and geology on distributed hydrological modelling results: Eddleston, Scotland. Hydrological Sciences Journal , 66 (3) pp. 488-502. 10.1080/02626667.2020.1862851. Green open access

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Abstract

A distributed hydrological model was applied to a 69km2 experimental catchment, Eddleston Water, Scotland, UK. The impact on model outputs of applying progressively simpler representations of spatial variability in land use and superficial geology was assessed. Alternative representations of the spatial distribution of superficial geology and land use produced differences in model outputs. These differences were generally small with the exception of the maximum absolute error (Emax). Inter-model differences were most sensitive to the largest precipitation events. Although variations in superficial geology dominated over those for land use, exceptions were seen in two sub-catchments. These were connected with particularly large variations in land use and/or the small spatial extent of superficial geology. Lower resolution spatial data produced superior model performance in the majority of sub-catchments. This has implications for modelling other catchments especially in situations where the high resolution data employed herein are not available.

Type: Article
Title: Influence of alternative representations of land use and geology on distributed hydrological modelling results: Eddleston, Scotland
Open access status: An open access version is available from UCL Discovery
DOI: 10.1080/02626667.2020.1862851
Publisher version: https://doi.org/10.1080/02626667.2020.1862851
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Distributed hydrological model, Land Use, Superficial Geology, spatial datasets
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Geography
URI: https://discovery.ucl.ac.uk/id/eprint/10117747
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