Bernhofen, MV, Cooper, S, Trigg, M orcid.org/0000-0002-8412-9332 et al. (13 more authors) (2022) The Role of Global Data Sets for Riverine Flood Risk Management at National Scales. Water Resources Research, 58 (4). ARTN e2021WR031555. ISSN 0043-1397
Abstract
Over the last two decades, several data sets have been developed to assess flood risk at the global scale. In recent years, some of these data sets have become detailed enough to be informative at national scales. The use of these data sets nationally could have enormous benefits in areas lacking existing flood risk information and allow better flood management decisions and disaster response. In this study, we evaluate the usefulness of global data for assessing flood risk in five countries: Colombia, England, Ethiopia, India, and Malaysia. National flood risk assessments are carried out for each of the five countries using six data sets of global flood hazard, seven data sets of global population, and three different methods for calculating vulnerability. We also conduct interviews with key water experts in each country to explore what capacity there is to use these global data sets nationally. We find that the data sets differ substantially at the national level, and this is reflected in the national flood risk estimates. While some global data sets could be of significant value for national flood risk management, others are either not detailed enough, or too outdated to be relevant at this scale. For the relevant global data sets to be used most effectively for national flood risk management, a country needs a functioning, institutional framework with capability to support their use and implementation.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022. The Authors.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | floods; exposure; vulnerability; risk; disaster risk analysis and assessment |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Funding Information: | Funder Grant number ESRC (Economic and Social Research Council) ES/S008179/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 May 2022 14:56 |
Last Modified: | 13 May 2022 14:56 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1029/2021WR031555 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:186779 |