Residential flood loss assessment and risk mapping from high-resolution simulation

Zulfahmi Afifi, Hone Jay Chu, Yen Lien Kuo, Yung Chia Hsu, Hock Kiet Wong, Muhammad Zeeshan Ali

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Since the patterns of residential buildings in the urban area are small-sized and dispersed, this study proposes a high-resolution flood loss and risk assessment model to analyze the direct loss and risk impacts caused by floods. The flood inundation simulation with a fine digital elevation model (DEM) provides detailed estimations of flood-inundated areas and their corresponding inundation depths during the 2016 Typhoon Megi and 2017 Typhoon Haitang. The flood loss assessment identifies the impacts of both events on residential areas. The depth-damage table from surveys in the impacted area was applied. Results indicated that the flood simulation with the depth-damage table is an effective way to assess the direct loss of a flood disaster. The study also showed the effects of spatial resolution on the residential loss. The results indicated that the low-resolution model easily caused the estimated error of loss in dispersed residential areas when compared with the high-resolution model. The analytic hierarchy process (AHP), as a multi-criteria decision-making method, was used to identify the weight factor for each vulnerability factor. The flood-vulnerable area was mapped using natural and social vulnerability factors, such as high-resolution DEM, distance to river, distance to fire station, and population density. Eventually, the flood risk map was derived from the vulnerability and flood hazard maps to present the risk level of the flood disaster in the residential areas.

Original languageEnglish
Article number751
JournalWater (Switzerland)
Volume11
Issue number4
DOIs
Publication statusPublished - 2019 Apr 1

Fingerprint

natural disaster
simulation
residential areas
residential area
Cyclonic Storms
vulnerability
digital elevation models
disasters
typhoon
Disasters
digital elevation model
disaster
damages
loss
multi-criteria decision making
decision making criterion
residential building
damage
Analytic hierarchy process
population density

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Geography, Planning and Development
  • Aquatic Science
  • Water Science and Technology

Cite this

Afifi, Zulfahmi ; Chu, Hone Jay ; Kuo, Yen Lien ; Hsu, Yung Chia ; Wong, Hock Kiet ; Ali, Muhammad Zeeshan. / Residential flood loss assessment and risk mapping from high-resolution simulation. In: Water (Switzerland). 2019 ; Vol. 11, No. 4.
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Residential flood loss assessment and risk mapping from high-resolution simulation. / Afifi, Zulfahmi; Chu, Hone Jay; Kuo, Yen Lien; Hsu, Yung Chia; Wong, Hock Kiet; Ali, Muhammad Zeeshan.

In: Water (Switzerland), Vol. 11, No. 4, 751, 01.04.2019.

Research output: Contribution to journalArticle

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