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

Stanislav Ruman (Lead / Corresponding author), Tom Ball, Andrew Black, Julian R. Thompson

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)488-502
Number of pages15
JournalHydrological Sciences Journal
Volume66
Issue number3
Early online date10 Dec 2020
DOIs
Publication statusPublished - 11 Feb 2021

Keywords

  • Distributed hydrological model
  • Land use
  • Superficial geology
  • spatial datasets

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