Integration of hillslope hydrology and 2D hydraulic modelling for natural flood management

Hankin, Barry and Metcalfe, Peter and Beven, Keith and Chappell, Nick (2019) Integration of hillslope hydrology and 2D hydraulic modelling for natural flood management. Hydrology Research, 50 (6). pp. 1535-1548. ISSN 0029-1277

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Natural Flood Management (NFM) has recently invigorated the hydrological community into redeploying its process-understanding of hydrology and hydraulics to try to quantify the impacts of many distributed, ‘nature-based’ measures on the whole-catchment response. Advances in spatial data analysis, distributed hydrological modelling and fast numerical flow equation solvers mean that whole catchment modelling including computationally intensive uncertainty analyses are now possible, although perhaps the community has not yet converged on the best overall parsimonious framework. To model the effects of tree-planting we need to understand changes to wet canopy evaporation, surface roughness and infiltration rates; to model inline storage created by ‘leaky-barriers’ or offline storage, we need accurate channel hydraulics to understand the changes to attenuation; to model the complex behaviour of the whole network of NFM measures, and the possibility of flood peak synchronisation effects, we need efficient realistic routing models, linked to key flow pathways that take into account the main physical processes in soils and the antecedent moisture conditions for a range of different rainfall events. This paper presents a new framework to achieve this, based on a cascade of the Dynamic Topmodel runoff generation model and the JFlow or HEC-RAS 2d hydraulic models, with an application to the Swindale Catchment in Cumbria, UK. We demonstrate the approach to quantify both the effectiveness of a relatively large ‘runoff attenuation feature’ in the landscape, and the uncertainty in the calculation given model parameter uncertainty.

Item Type:
Journal Article
Journal or Publication Title:
Hydrology Research
Additional Information:
Manuscript ID: Hydrology-D-18-00150
Uncontrolled Keywords:
?? hydrologyhydraulicsnfmtopmodel uncertaintywater science and technology ??
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Deposited On:
09 Jul 2019 08:25
Last Modified:
15 Jul 2024 19:35