Physical Vulnerability Modelling Based On Flood Inundation Model and Image Mining
Abstract: Flash flood disaster
occurred within the City of Garut, West Java, Indonesia, on 20th September
2016, which caused many casualties and damages. Flood model could be performed
to model the already-occurring disaster, as well as to depict future events
that may occur to overcome any potential disasters, where the inundation flood
model depicted the element at risk. In order to assist the analysis for the
damages occurred, image mining could be used as part of the approach, where
online media was utilized as well. The image mining resulted information about
building damages caused by the flood. Afterwards, the physical vulnerability
(buildings/residents) model could be further performed. Finally, the
relationship between vulnerability and the flood inundation were portrayed. The
resulted physical vulnerability model showed that larger height of the flood
water caused higher degree of loss of the building, in which portrayed the need
for total rebuild of houses as well. Considering available open source data and
fast data acquisition, the approach showed such efficient approaches, where the
results could be used in order to establish recommendation for building
reinforcement, spatial planning, or protection wall in flood prone areas within
the future time.
Key words: Flash flood; flood
inundation model; element at risk; building damage; image mining; physical vulnerability
model
Penulis: Maulana Ibrahim Rau,
Guruh Samodra, Hendra Pachri, Edy Irwansyah, Muhammad Subair
Kode Jurnal: jptsipildd160328
