Selecting coastal hotspots to storm impacts at the regional scale: a Coastal Risk Assessment Framework

Viavattene, C.; Jiménez, J. A.; Ferreira, Óscar; Priest, S.; Owen, D.; McCall, R.

Publication

Selecting coastal hotspots to storm impacts at the regional scale: a Coastal Risk Assessment Framework

2017-09Journal article

dc.contributor.author	Viavattene, C.
dc.contributor.author	Jiménez, J. A.
dc.contributor.author	Ferreira, Óscar
dc.contributor.author	Priest, S.
dc.contributor.author	Owen, D.
dc.contributor.author	McCall, R.
dc.date.accessioned	2018-01-10T15:15:13Z
dc.date.available	2019-09-01T00:30:13Z
dc.date.issued	2017-09
dc.description.abstract	Managing coastal risk at the regional scale requires a prioritization of resources along the shoreline. A transparent and rigorous risk assessment should inform managers and stakeholders in their choices. This requires advances in modelling assessment (e.g., consideration of source and pathway conditions to define the probability of occurrence, nonlinear dynamics of the physical processes, better recognition of systemic impacts and non-economic losses) and open-source tools facilitating stakeholders' engagement in the process. This paper discusses how the Coastal Risk Assessment Framework (CRAF) has been developed as part of the Resilience Increasing Strategies for Coasts Toolkit (RISC-KIT). The framework provides two levels of analysis. A coastal index approach is first recommended to narrow down the risk analysis to a reduced number of sectors which are subsequently geographically grouped into potential hotspots. For the second level of analysis an integrated modelling approach improves the regional risk assessment of the identified hotspots by increasing the spatial resolution of the hazard modelling by using innovative process-based multi-hazard models, by including generic vulnerability indicators in the impact assessment, and by calculating regional systemic impact indicators. A multi-criteria analysis of these indicators is performed to rank the hotspots and support the stakeholders in their selection. The CRAF has been applied and validated on ten European case studies with only small deviation to areas already recognised as high risk. The flexibility of the framework is essential to adapt the assessment to the specific region characteristics. The involvement of stakeholders is crucial not only to select the hotpots and validate the results, but also to support the collection of information and the valuation of assets at risk. As such, the CRAF permits a comprehensive and systemic risk analysis of the regional coast in order to identify and to select higher risk areas. Yet efforts still need to be amplified in the data collection process, in particular for socio-economic and environmental impacts.	pt_PT
dc.description.version	info:eu-repo/semantics/acceptedVersion	pt_PT
dc.identifier.doi	10.1016/j.coastaleng.2017.09.002	pt_PT
dc.identifier.issn	0378-3839
dc.identifier.other	AUT: OFE00989;
dc.identifier.uri	http://hdl.handle.net/10400.1/10301
dc.language.iso	eng	pt_PT
dc.peerreviewed	yes	pt_PT
dc.publisher	Elsevier	pt_PT
dc.relation	Resilience-Increasing Strategies for Coasts - toolKIT
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.subject	Regional assessment	pt_PT
dc.subject	Response approach	pt_PT
dc.subject	Systemic impact	pt_PT
dc.subject	Multi-criteria analysis	pt_PT
dc.title	Selecting coastal hotspots to storm impacts at the regional scale: a Coastal Risk Assessment Framework	pt_PT
dc.type	journal article
dspace.entity.type	Publication
oaire.awardTitle	Resilience-Increasing Strategies for Coasts - toolKIT
oaire.awardURI	info:eu-repo/grantAgreement/EC/FP7/603458/EU
oaire.citation.title	Coastal Engineering	pt_PT
oaire.fundingStream	FP7
person.familyName	Ferreira
person.givenName	Óscar
person.identifier.ciencia-id	1F1C-DF44-94C9
person.identifier.orcid	0000-0001-9975-0036
project.funder.identifier	http://doi.org/10.13039/501100008530
project.funder.name	European Commission
rcaap.rights	openAccess	pt_PT
rcaap.type	article	pt_PT
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relation.isProjectOfPublication	32d71a50-4c49-45ec-a98d-dee9226309ca
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