<scp>TSA</scp> ‐ <scp>DOT</scp> : A Decision Support Tool for Designing and Optimising Nature‐Based Solutions for Flood Mitigation

ABSTRACT Nature‐based solutions, such as temporary storage areas (TSAs), are increasingly implemented within natural flood management strategies to mitigate flooding and soil erosion by attenuating surface runoff during storm events. However, guidance on optimising site‐specific TSA designs for runoff attenuation remains limited, and no existing approach comprehensively evaluates TSA effectiveness across multiple flood mitigation metrics. This study addresses these gaps by introducing the TSA Design Optimiser Tool (TSA‐DOT), a decision support tool for designing and optimising TSAs as effective nature‐based solutions for runoff attenuation, contributing to flood mitigation. The tool evaluates TSA performance using five flood mitigation metrics: storage efficiency index, mean retention time, peak flow attenuation, peak flow reduction, and changes in peak flow travel time. It incorporates site‐specific data such as topography and potential storage capacity, soil infiltration rates, and design storm events. Users can prioritise and customise flood mitigation metrics, making the tool suitable for a wide range of catchment settings. When applied at two agricultural TSA sites in northeast Scotland, the tool identified the importance of optimising storage‐to‐drainage relationships for effective runoff attenuation and highlighted the need for increased storage capacity or drainage adjustments under extreme storm events or limited soil infiltration. TSA‐DOT provides practical guidance for using TSAs as part of flood risk management, with integration potential into catchment‐scale hydrological models for scalable, site‐specific applications.

Authors

Institutions

Publication Details

Journal
Journal of Flood Risk Management
Published
2025-12-01
DOI
https://doi.org/10.1111/jfr3.70162
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

TSA ‐ DOT : A Decision Support Tool for Designing and Optimising Nature‐Based Solutions for Flood Mitigation

Mark E. Wilkinson, Josie Geris, Martyn T. Roberts, Paul Quinn et al.
Journal of Flood Risk Management
Flood Risk Assessment and Management
article

TSA ‐ DOT : A Decision Support Tool for Designing and Optimising Nature‐Based Solutions for Flood Mitigation

Mark E. Wilkinson, Josie Geris, Martyn T. Roberts, Paul Quinn, Paul D. Hallett
article en

Abstract

ABSTRACT Nature‐based solutions, such as temporary storage areas (TSAs), are increasingly implemented within natural flood management strategies to mitigate flooding and soil erosion by attenuating surface runoff during storm events. However, guidance on optimising site‐specific TSA designs for runoff attenuation remains limited, and no existing approach comprehensively evaluates TSA effectiveness across multiple flood mitigation metrics. This study addresses these gaps by introducing the TSA Design Optimiser Tool (TSA‐DOT), a decision support tool for designing and optimising TSAs as effective nature‐based solutions for runoff attenuation, contributing to flood mitigation. The tool evaluates TSA performance using five flood mitigation metrics: storage efficiency index, mean retention time, peak flow attenuation, peak flow reduction, and changes in peak flow travel time. It incorporates site‐specific data such as topography and potential storage capacity, soil infiltration rates, and design storm events. Users can prioritise and customise flood mitigation metrics, making the tool suitable for a wide range of catchment settings. When applied at two agricultural TSA sites in northeast Scotland, the tool identified the importance of optimising storage‐to‐drainage relationships for effective runoff attenuation and highlighted the need for increased storage capacity or drainage adjustments under extreme storm events or limited soil infiltration. TSA‐DOT provides practical guidance for using TSAs as part of flood risk management, with integration potential into catchment‐scale hydrological models for scalable, site‐specific applications.

Journal of Flood Risk ManagementVol. 18(4)
James Hutton Institute (GB), University of Aberdeen (GB)
James Hutton Institute, Scottish Funding Council
Openalex Percentile: Top 65%
Flood Risk Assessment and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.