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Articles

Natural flood management: small-scale progress and larger-scale challenges

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Pages 23-32 | Received 03 Sep 2018, Accepted 18 Apr 2019, Published online: 09 May 2019
 

ABSTRACT

Management of fluvial flood risk in the UK is undergoing a paradigm shift, with a change in emphasis from solely working with structural defences to considering catchment-based measures which attenuate flood runoff. Natural Flood Management (NFM) is promoted as a method that can reduce flood risk through the alteration, restoration or use of landscape features. Here we highlight the potential to manage runoff locally in the rural landscape using NFM by targeting flow pathways and utilising floodplains and riparian zones. Using two case study examples from the UK, we show that by accumulating dispersed small-scale storage in small catchment areas (<10 km2) can assist in attenuating flood runoff. However, there is currently a lack of evidence of measure effectiveness at larger catchment scales and for managing extreme flood events. Nevertheless, there is a strong evidence base to suggest many of these measures deliver a range of different ecosystem services if installed in the correct location in the landscape.

Acknowledgements

We would like to thank the Royal Society of Edinburgh for inviting us to present on this topic at the ‘How can we learn to live with floods?' event. The Belford case study was funded by the Environment Agency Local Flood Levy and the Northumbria Regional Flood Defence Committee. In relation to Tarland, we wish to acknowledge the MacRobert Estate and local landowners. The authors acknowledge Margaret McKeen for assistance with the Tarland map production. The authors thank the two anonymous referees for their feedback on the manuscript.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This research underpinning this manuscript was funded by the Rural and Environmental Science and Analytical Services (RESAS) division of the Scottish Government [Strategic Research Programme 2016-21].

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