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dc.contributor.authorJoannou, D
dc.contributor.authorKalawsky, R
dc.contributor.authorSaravi, S
dc.contributor.authorCasado, MR
dc.contributor.authorFu, G
dc.contributor.authorMeng, F
dc.date.accessioned2019-09-09T10:00:08Z
dc.date.issued2019-03-08
dc.description.abstractThere is a clear and evident requirement for a conscious effort to be made towards a resilient water system-of-systems (SoS) within the UK, in terms of both supply and flooding. The impact of flooding goes beyond the immediately obvious socio-aspects of disruption, cascading and affecting a wide range of connected systems. The issues caused by flooding need to be treated in a fashion which adopts an SoS approach to evaluate the risks associated with interconnected systems and to assess resilience against flooding from various perspectives. Changes in climate result in deviations in frequency and intensity of precipitation; variations in annual patterns make planning and management for resilience more challenging. This article presents a verified model-based system engineering methodology for decision-makers in the water sector to holistically, and systematically implement resilience within the water context, specifically focusing on effects of flooding on water supply. A novel resilience viewpoint has been created which is solely focused on the resilience aspects of architecture that is presented within this paper. Systems architecture modelling forms the basis of the methodology and includes an innovative resilience viewpoint to help evaluate current SoS resilience, and to design for future resilient states. Architecting for resilience, and subsequently simulating designs, is seen as the solution to successfully ensuring system performance does not suffer, and systems continue to function at the desired levels of operability. The case study presented within this paper demonstrates the application of the SoS resilience methodology on water supply networks in times of flooding, highlighting how such a methodology can be used for approaching resilience in the water sector from an SoS perspective. The methodology highlights where resilience improvements are necessary and also provides a process where architecture solutions can be proposed and tested.en_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.identifier.citationVol. 11 (3), article 496en_GB
dc.identifier.doi10.3390/w11030496
dc.identifier.grantnumberEP/N010329/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/38592
dc.language.isoenen_GB
dc.publisherMDPIen_GB
dc.rights© 2019 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.subjectarchitecture modelling flood resilienceen_GB
dc.subjectresilience engineeringen_GB
dc.subjectsystem-of-systems water systemsen_GB
dc.titleA model-based engineering methodology and architecture for resilience in systems-of-systems: A case of water supply resilience to floodingen_GB
dc.typeArticleen_GB
dc.date.available2019-09-09T10:00:08Z
dc.descriptionThis is the final version. Available on open access from MDPI via the DOI in this recorden_GB
dc.identifier.eissn2073-4441
dc.identifier.journalWateren_GB
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-03-03
exeter.funder::Engineering and Physical Sciences Research Council (EPSRC)en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-03-08
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-09-09T09:58:29Z
refterms.versionFCDVoR
refterms.dateFOA2019-09-09T10:00:12Z
refterms.panelBen_GB
refterms.depositExceptionpublishedGoldOA


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© 2019 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 © 2019 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/).