Comparison of observed and DEM-driven field-to-river routing of flow from eroding fields in an arable lowland catchment

D T Favis-Mortlock, J Boardman, Ian Foster, Mark Shepheard

    Research output: Contribution to JournalArticlepeer-review

    Abstract

    Field-to-river flow of runoff and sediment in a lowland arable catchment in the south of England is explored from both field and modelling perspectives. Routes observed to be taken by flow and sediment on five study areas
    include many interactions between flow and ‘landscape elements’ (LEs), including those (field boundaries, paths, roads) of anthropogenic origin. We were able to satisfactorily replicate observed flow routes using a simple
    steepest-descent-with-overtopping model with a 5 m DEM. This was unexpected, considering the narrowness of linear LEs such as paths and tracks. However LE attributes showed considerable sensitivity: changing just one attribute of a single FE-flow interaction notably altered the route taken by simulated flow, while changing LE attributes notably affected synthetic hydrographs for flow reaching the river, suggesting similar impacts upon
    transported sediment reaching the river. Thus while simple steepest-descent and overtopping permits satisfactory replication of observed flow routes, it is likely that more explicit representation of LE-flow interactions is necessary in order to adequately capture the dynamics of field-to-river runoff and sediment transport, as must be done by catchment-scale erosion models. This will enable such models to better represent runoff speed and volume, and the flux and size distribution of transported sediment, with the aim of overcoming some broad limitations of such models as noted in earlier model validation studies. Finally, we consider the representation of some LE flow in catchment-scale models, and discuss the ways in which such representation
    might be improved.
    Original languageEnglish
    Article number105737
    JournalCatena
    Volume208
    Early online date2 Oct 2021
    DOIs
    Publication statusE-pub ahead of print - 2 Oct 2021

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