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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
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
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