Publication:
Conceptual Frameworks of Real Time Flood Modelling for Improved Community Resilience

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dc.citedby0
dc.contributor.authorBurhanuddin M.F.en_US
dc.contributor.authorBasri H.en_US
dc.contributor.authorSidek L.M.en_US
dc.contributor.authorZulkhurnain S.A.en_US
dc.contributor.authorChua L.en_US
dc.contributor.authorIrvine K.N.en_US
dc.contributor.authorTahir W.en_US
dc.contributor.authorKhambali M.H.M.en_US
dc.contributor.authorMajid W.H.A.W.A.en_US
dc.contributor.authorUjum E.A.en_US
dc.contributor.authorid58905639100en_US
dc.contributor.authorid57065823300en_US
dc.contributor.authorid35070506500en_US
dc.contributor.authorid58905639200en_US
dc.contributor.authorid7202399682en_US
dc.contributor.authorid16211657700en_US
dc.contributor.authorid42862377800en_US
dc.contributor.authorid57963750900en_US
dc.contributor.authorid57192919599en_US
dc.contributor.authorid36095309500en_US
dc.date.accessioned2024-10-14T03:19:11Z
dc.date.available2024-10-14T03:19:11Z
dc.date.issued2023
dc.description.abstractUrbanization contributes to an increase in flood frequency and intensity, which is exacerbated by climate change. This is a phenomenon observed in both developing and industrialized countries, including Malaysia and Thailand. It is possible to lessen the devastation that natural catastrophes cause as a result of climate change by making timely and accurate predictions and being better prepared. In addition, when it comes to the general enhancement of community resilience, the utilization of effective interaction strategies between the society and the relevant agencies is an important part in the success of the endeavor. The objective of this research is to develop a real time flood modelling tool that can be put to use to lessen the likelihood of flood damage, make recommendations about climate adaptation techniques, and improve the capacity of local communities to withstand natural disasters. One case study will be conducted in Malaysia, while the other will be conducted in Thailand. These case studies will demonstrate how the developed model can reduce the impact of flooding. Two aspects of the modelling method contribute to the flexibility and resilience of the whole system which is to greatly reduce the amount of time spent on computational tasks by utilizing cloud computing�and�streamlining the process of capacity growth for relevant agencies. The findings of this study will be incorporated into the formulation of a resiliency index, which will be supported by involvement with the local community and authorities. � The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-981-99-3708-0_57
dc.identifier.epage836
dc.identifier.scopus2-s2.0-85185949703
dc.identifier.spage827
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85185949703&doi=10.1007%2f978-981-99-3708-0_57&partnerID=40&md5=3191a9348cf69cf6f7e5762320130849
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34344
dc.identifier.volumePart F2265
dc.pagecount9
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleWater Resources Development and Management
dc.subjectClimate change
dc.subjectCommunity resiliency
dc.subjectFlood modelling
dc.titleConceptual Frameworks of Real Time Flood Modelling for Improved Community Resilienceen_US
dc.typeBook chapteren_US
dspace.entity.typePublication
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