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Spatial targeting of nature-based flood risk management measures within river catchments [dataset] Open Access

A wide range of nature-based solutions for flood hazard management work by storing and slowing flow within catchments. There is a need to identify where in a catchment are the optimal locations for the implementation of these solutions. This paper presents a risk-based mapping of the likely locations that contribute to the flood peak and targeting mitigation actions in these locations can be an effective way to reduce damages at points of flood impact downstream. This tool, named SCIMAP-Flood, uses information on land cover, hydrological connectivity, a set of different flood generating rainfall patterns and a set of hydrological travel time distributions to impacted communities. The algorithm then uses this dataset to find the source areas of floodwaters and wrights the important of each location based on its contribution to the flood hazard at each of the downstream points of impact. In the example application, the risk mapping is applied at a 5m grid resolution for the River Eden catchment, Cumbria, England, and hence provide sub-field scale information at the landscape extent. Therefore, the tool can identify sub-catchments where physically based catchment hydrological simulation models can be applied to test different mitigation measure schemes.

Descriptions

Resource type

Dataset

Contributors

Creator: Reaney, Sim ¹
Contact person: Reaney, Sim ¹

¹ Durham University

Funder

Research methods

The results are from SCIMAP-Flood analysis that used geospatial data on rainfall, land cover, hydrological connectivity and water travel times to consider where in the landscape the flood peak water is most likely to have originated from.

Other description

The results were generated using the SCIMAP-Flood processer.

Keyword

GIS
Floods
Flooding
Natural Flood Risk Management
NFM
Hazards
Spatial Targeting
SCIMAP-Flood
ArcASCII

Subject

Floods
Flood control

Location

Cumbria, England, United Kingdom

Language

Cited in

Identifier

ark:/32150/r1zs25x8480
doi:10.15128/r1zs25x8480

Rights

Creative Commons Attribution 4.0 International (CC BY)

Publisher

Durham University

Date Created

22/03/21

File Details

Depositor

S.M. Reaney

Date Uploaded

22 March 2021, 10:03:59

Date Modified

23 March 2021, 09:03:18

Audit Status

Audits have not yet been run on this file.

Characterization

File format: x-7z-compressed (7-zip archive data, version 0.4)

Mime type: application/x-7z-compressed

File size: 247419698

Filename: SCIMAP-Flood River Eden.7z

Original checksum: d01258922d8acd2572f8db4a3f057b99