Richard J. Dawson
A systems framework for national assessment of climate risks to infrastructure
Dawson, Richard J.; Thompson, David; Johns, Daniel; Wood, Ruth; Darch, Geoff; Chapman, Lee; Hughes, Paul N.; Watson, Geoff V.R.; Paulson, Kevin; Bell, Sarah; Gosling, Simon N.; Powrie, William; Hall, Jim W.
Authors
David Thompson
Daniel Johns
Ruth Wood
Geoff Darch
Lee Chapman
Paul N. Hughes
Geoff V.R. Watson
Kevin Paulson
Sarah Bell
Simon N. Gosling
William Powrie
Jim W. Hall
Abstract
Extreme weather causes substantial adverse socioeconomic impacts by damaging and disrupting the infrastructure services that underpin modern society. Globally, $2.5tn a year is spent on infrastructure which is typically designed to last decades, over which period projected changes in the climate will modify infrastructure performance. A systems approach has been developed to assess risks across all infrastructure sectors to guide national policy making and adaptation investment. The method analyses diverse evidence of climate risks and adaptation actions, to assess the urgency and extent of adaptation required. Application to the UK shows that despite recent adaptation efforts, risks to infrastructure outweigh opportunities. Flooding is the greatest risk to all infrastructure sectors: even if the Paris Agreement to limit global warming to 2°C is achieved, the number of users reliant on electricity infrastructure at risk of flooding would double, whilst a 4°C rise could triple UK flood damage. Other risks are significant, for example: 5% and 20% of river catchments would be unable to meet water demand with 2°C and 4°C global warming respectively. Increased interdependence between infrastructure systems, especially from energy and information and communication
Citation
Dawson, R. J., Thompson, D., Johns, D., Wood, R., Darch, G., Chapman, L., Hughes, P. N., Watson, G. V., Paulson, K., Bell, S., Gosling, S. N., Powrie, W., & Hall, J. W. (2018). A systems framework for national assessment of climate risks to infrastructure. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 376(2121), Article 20170298. https://doi.org/10.1098/rsta.2017.0298
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 17, 2018 |
Online Publication Date | Apr 30, 2018 |
Publication Date | Jun 13, 2018 |
Deposit Date | Feb 13, 2018 |
Publicly Available Date | Jul 10, 2020 |
Journal | Phil. Trans. R. Soc. A |
Print ISSN | 1364-503X |
Publisher | The Royal Society |
Peer Reviewed | Peer Reviewed |
Volume | 376 |
Issue | 2121 |
Article Number | 20170298 |
DOI | https://doi.org/10.1098/rsta.2017.0298 |
Keywords | Infrastructure; Climate change; Risk assessment; Interdependence; Systems approach |
Public URL | https://hull-repository.worktribe.com/output/590112 |
Publisher URL | https://royalsocietypublishing.org/doi/10.1098/rsta.2017.0298 |
Contract Date | Feb 13, 2018 |
Files
Published article
(562 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0
Copyright Statement
© 2018 The Authors.
Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
You might also like
Prediction of annual joint rain fade on EHF networks by weighted rain field selection
(2015)
Journal Article
Downscaling of rain gauge time series by multiplicative beta cascade
(2007)
Journal Article
Downloadable Citations
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search