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dc.contributor.authorStevens, J
dc.contributor.authorHenderson, R
dc.contributor.authorWebber, J
dc.contributor.authorEvans, B
dc.contributor.authorChen, A
dc.contributor.authorDjordjević, S
dc.contributor.authorSánchez-Muñoz, D
dc.contributor.authorDomínguez-García, J
dc.date.accessioned2020-04-29T14:26:19Z
dc.date.issued2020-04-16
dc.description.abstractExpanding populations and increased urbanisation are causing a strain on cities worldwide as they become more frequently and more severely affected by extreme weather conditions. Critical services and infrastructure are feeling increasing pressure to be maintained in a sustainable way under these combined stresses. Methods to better cope with these demanding factors are greatly needed now, and with the predicted impacts of climate change, further adaptation will become essential for the future. All cities comprise a complex of interdependent systems representing critical operations that cannot function properly independently, or be fully understood in isolation of one another. The consequences of localised flooding can become much more widespread due to the inter-relation of these connected systems. Due to reliance upon one another and this connectedness, an all-encompassing assessment is appropriate. Different model representations are available for different services and integrating these enables consideration of these cascading effects. In the case study city of Bristol, 1D and 2D hydraulic modelling predicting the location and severity of flooding has been used in conjunction with modelling of road traffic and energy supply by linking models established for these respective sectors. This enables identification of key vulnerabilities to prioritise resources and enhance city resilience against future sea-level rise and the more intense rainfall conditions anticipated.en_GB
dc.description.sponsorshipEuropean Union Horizon 2020en_GB
dc.identifier.citationVol. 12 (8), article 3233en_GB
dc.identifier.doi10.3390/su12083233
dc.identifier.grantnumber700174en_GB
dc.identifier.urihttp://hdl.handle.net/10871/120854
dc.language.isoenen_GB
dc.publisherMDPIen_GB
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectfluvialen_GB
dc.subjectpluvialen_GB
dc.subjecttidalen_GB
dc.subjectseweren_GB
dc.subjectflooden_GB
dc.subjectrisken_GB
dc.subjectclimate changeen_GB
dc.subjectmodellingen_GB
dc.subjectcascading effectsen_GB
dc.titleInterlinking Bristol Based Models to Build Resilience to Climate Changeen_GB
dc.typeArticleen_GB
dc.date.available2020-04-29T14:26:19Z
dc.descriptionThis is the final version. Available on open access from MDPI via the DOI in this recorden_GB
dc.identifier.eissn2071-1050
dc.identifier.journalSustainabilityen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2020-04-09
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-04-09
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-04-29T14:24:51Z
refterms.versionFCDVoR
refterms.dateFOA2020-04-29T14:26:26Z
refterms.panelBen_GB


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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).