Urban flash flood index based on historical rainfall events
Urban flash flood poses significant hazards on urbanised area, in particular to buildings and infrastructure due to its fast occurrence and high magnitude in financial loss. Risk assessment of the flash flood identify the critically flood-prone areas and provide assistance in improving the resilienc...
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2020
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2-s2.0-85079319669 Wan Mohtar W.H.M.; Abdullah J.; Abdul Maulud K.N.; Muhammad N.S. Urban flash flood index based on historical rainfall events 2020 Sustainable Cities and Society 56 10.1016/j.scs.2020.102088 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079319669&doi=10.1016%2fj.scs.2020.102088&partnerID=40&md5=7b24750bc67561f83e67c7465c614d69 Urban flash flood poses significant hazards on urbanised area, in particular to buildings and infrastructure due to its fast occurrence and high magnitude in financial loss. Risk assessment of the flash flood identify the critically flood-prone areas and provide assistance in improving the resiliency of mitigation plans. In this study, we developed an assessment of flood susceptibility, vulnerability, the impact of socio-economic, and integrated flash flood index based on the historical data of flood events recorded in Kuala Lumpur. Data of rainfall characteristics, inundated location, and areas are extracted from the reports of flood events from the year 2005-2015. Each event is then segregated according to the place of incidence, providing point-based recurrence of flood at each identified location. Indicators of assessment include frequency and month of occurrence, rainfall characteristics (of intensity, duration, and depth), and land use categories. A total of 137 (point) locations have been identified, where each location is colour-coded based on a 5-point rating scale. The point-based flood-prone locations are validated with the watershed based of 50-ARI rainfall modelling, providing comprehensive hotspot maps. Developed interactive colour-coded flood prone maps facilitate relevant agencies for improved coordination in flash flood mitigation, response and early warning. © 2020 Elsevier Ltd Elsevier Ltd 22106707 English Article |
author |
Wan Mohtar W.H.M.; Abdullah J.; Abdul Maulud K.N.; Muhammad N.S. |
spellingShingle |
Wan Mohtar W.H.M.; Abdullah J.; Abdul Maulud K.N.; Muhammad N.S. Urban flash flood index based on historical rainfall events |
author_facet |
Wan Mohtar W.H.M.; Abdullah J.; Abdul Maulud K.N.; Muhammad N.S. |
author_sort |
Wan Mohtar W.H.M.; Abdullah J.; Abdul Maulud K.N.; Muhammad N.S. |
title |
Urban flash flood index based on historical rainfall events |
title_short |
Urban flash flood index based on historical rainfall events |
title_full |
Urban flash flood index based on historical rainfall events |
title_fullStr |
Urban flash flood index based on historical rainfall events |
title_full_unstemmed |
Urban flash flood index based on historical rainfall events |
title_sort |
Urban flash flood index based on historical rainfall events |
publishDate |
2020 |
container_title |
Sustainable Cities and Society |
container_volume |
56 |
container_issue |
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doi_str_mv |
10.1016/j.scs.2020.102088 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079319669&doi=10.1016%2fj.scs.2020.102088&partnerID=40&md5=7b24750bc67561f83e67c7465c614d69 |
description |
Urban flash flood poses significant hazards on urbanised area, in particular to buildings and infrastructure due to its fast occurrence and high magnitude in financial loss. Risk assessment of the flash flood identify the critically flood-prone areas and provide assistance in improving the resiliency of mitigation plans. In this study, we developed an assessment of flood susceptibility, vulnerability, the impact of socio-economic, and integrated flash flood index based on the historical data of flood events recorded in Kuala Lumpur. Data of rainfall characteristics, inundated location, and areas are extracted from the reports of flood events from the year 2005-2015. Each event is then segregated according to the place of incidence, providing point-based recurrence of flood at each identified location. Indicators of assessment include frequency and month of occurrence, rainfall characteristics (of intensity, duration, and depth), and land use categories. A total of 137 (point) locations have been identified, where each location is colour-coded based on a 5-point rating scale. The point-based flood-prone locations are validated with the watershed based of 50-ARI rainfall modelling, providing comprehensive hotspot maps. Developed interactive colour-coded flood prone maps facilitate relevant agencies for improved coordination in flash flood mitigation, response and early warning. © 2020 Elsevier Ltd |
publisher |
Elsevier Ltd |
issn |
22106707 |
language |
English |
format |
Article |
accesstype |
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record_format |
scopus |
collection |
Scopus |
_version_ |
1814778506226171904 |