Conceptual Frameworks of Real Time Flood Modelling for Improved Community Resilience

Urbanization 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 a...

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Main Authors: Burhanuddin M.F., Basri H., Sidek L.M., Zulkhurnain S.A., Chua L., Irvine K.N., Tahir W., Khambali M.H.M., Majid W.H.A.W.A., Ujum E.A.
Other Authors: 58905639100
Format: Book chapter
Published: Springer Science and Business Media Deutschland GmbH 2024
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-343442024-10-14T11:19:11Z Conceptual Frameworks of Real Time Flood Modelling for Improved Community Resilience Burhanuddin M.F. Basri H. Sidek L.M. Zulkhurnain S.A. Chua L. Irvine K.N. Tahir W. Khambali M.H.M. Majid W.H.A.W.A. Ujum E.A. 58905639100 57065823300 35070506500 58905639200 7202399682 16211657700 42862377800 57963750900 57192919599 36095309500 Climate change Community resiliency Flood modelling Urbanization 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. Final 2024-10-14T03:19:11Z 2024-10-14T03:19:11Z 2023 Book chapter 10.1007/978-981-99-3708-0_57 2-s2.0-85185949703 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185949703&doi=10.1007%2f978-981-99-3708-0_57&partnerID=40&md5=3191a9348cf69cf6f7e5762320130849 https://irepository.uniten.edu.my/handle/123456789/34344 Part F2265 827 836 Springer Science and Business Media Deutschland GmbH Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Climate change
Community resiliency
Flood modelling
spellingShingle Climate change
Community resiliency
Flood modelling
Burhanuddin M.F.
Basri H.
Sidek L.M.
Zulkhurnain S.A.
Chua L.
Irvine K.N.
Tahir W.
Khambali M.H.M.
Majid W.H.A.W.A.
Ujum E.A.
Conceptual Frameworks of Real Time Flood Modelling for Improved Community Resilience
description Urbanization 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.
author2 58905639100
author_facet 58905639100
Burhanuddin M.F.
Basri H.
Sidek L.M.
Zulkhurnain S.A.
Chua L.
Irvine K.N.
Tahir W.
Khambali M.H.M.
Majid W.H.A.W.A.
Ujum E.A.
format Book chapter
author Burhanuddin M.F.
Basri H.
Sidek L.M.
Zulkhurnain S.A.
Chua L.
Irvine K.N.
Tahir W.
Khambali M.H.M.
Majid W.H.A.W.A.
Ujum E.A.
author_sort Burhanuddin M.F.
title Conceptual Frameworks of Real Time Flood Modelling for Improved Community Resilience
title_short Conceptual Frameworks of Real Time Flood Modelling for Improved Community Resilience
title_full Conceptual Frameworks of Real Time Flood Modelling for Improved Community Resilience
title_fullStr Conceptual Frameworks of Real Time Flood Modelling for Improved Community Resilience
title_full_unstemmed Conceptual Frameworks of Real Time Flood Modelling for Improved Community Resilience
title_sort conceptual frameworks of real time flood modelling for improved community resilience
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2024
_version_ 1814061051108392960