A 3-tier tsunami vulnerability assessment technique for the north-west coast of Peninsular Malaysia

Ismail, Hadibah; Wahab, Ahmad Khairi Abd; Amin, Muzamil; Yunus, Mohd. Zulkifli Mohd.; Sidek, Fatini; J., B. Esfandier

doi:10.1007/s11069-012-0166-9

Cited by 22 publications

(26 citation statements)

References 17 publications

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“…These factors were selected based on previously studies: morphologic component [20,21]; structural component [22]; social component [23][24][25][26] and allocation component based on property taxes [27]. The analysis of the different vulnerability occurred at the municipal level (social and tax component) and local level (morphological and structural component).…”

Section: Methodsmentioning

confidence: 99%

“…For this assessment, we introduced a new set of parameters (bold in the Figure 10) related to the occupation, functionality and structure of each building [31,35] that have not been addressed in previous works, including those by [21,22]. The introduction of these new parameters strengthened our analysis and enabled the introduction of new data that had not been considered in previous methodologies.…”

Section: Structural Building Assessment (Bv)mentioning

confidence: 99%

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Territorial Vulnerability Assessment Supporting Risk Managing Coastal Areas Due to Tsunami Impact

Barros

Tavares

Santos

et al. 2015

Water

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Portugal's coastline extends 1187 km. It is characterized by social, economic and physical conditions that differentiate it from the rest of the territory, including population density, location of infrastructure and support of tourism activities. Therefore, it has a significant exposure if a tsunami occurs. Six coastal study sites with varying characteristics were selected for evaluation in this paper, including two core beach-use areas, two residential areas and two industrial areas. These sites are located in the municipalities of Figueira da Foz, Setúbal and Vila do Bispo. The analysis began with the calculation of the potential tsunami inundation area for each site using the 1755 Lisbon tsunami. Next, a methodology distinguished by its multidimensional character was applied to assess local vulnerability to tsunamis. This methodology assesses vulnerabilities associated with morphological, structural, social and tax factors. These four vulnerability components were combined to obtain a Composite Vulnerability Index (CVI), which enabled us to identify the most vulnerable areas and to determine the distinguishing characteristics of each area.

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Section: Methodsmentioning

confidence: 99%

Section: Structural Building Assessment (Bv)mentioning

confidence: 99%

Territorial Vulnerability Assessment Supporting Risk Managing Coastal Areas Due to Tsunami Impact

Barros

Tavares

Santos

et al. 2015

Water

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“…Severely affected area at that time was Penang and Kedah (Colbourne 2005). The incident has driven lot of researches about it in Malaysia (Ismail et al 2012;Jahromi 2009;Jamaluddin et al 2010;Koh et al 2009a;Koh et al 2009b;Master, 2014;Teh et al 2009). In fact, at early years of the incident, the studies are much related to the tsunami impact assessment and tsunami warning (Aasen et al 2007;Ismail et al 2012;Koh et al, 2009b;Master 2014).…”

Section: Malaysiamentioning

confidence: 99%

A Decade after the Tsunami: Preliminary Exploration Deposit Layer of Sediment at Coast Area of Kedah, Malaysia

Shafiai¹,

Jaafar²,

Rashid³

2016

JKUKM

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“…Geographic Information Systems (GIS) are used in vulnerability assessment models for many types of natural or industrial hazards. Starting with the 2004 Indian Ocean tsunami, different methodologies have been developed to evaluate vulnerability to various types of natural hazards, including tsunamis (Papathoma et al 2003;Ghobarah et al 2006;Dominey-Howes and Papathoma 2007;Reese et al 2007;Taubenböck et al 2008;Dall'Osso et al 2009a, b;Koshimura et al 2009a, b;Wood 2009;Omira et al 2010;Pendleton et al 2010;Atillah et al 2011;Leone et al 2011;Murthy et al 2011;Sinaga et al 2011;Valencia et al 2011;Eckert et al 2012;Ismail et al 2012;Suppasri et al 2012a, b;Tarbotton et al 2012;Usha et al 2012;Suppasri et al 2013;Santos et al 2014;Benchekroun et al 2015). In order to create appropriate models for hazard assessments, GIS tools are required for analyzing large amounts of data while generating thematic maps.…”

Section: Introductionmentioning

confidence: 99%

A new GIS-based tsunami risk evaluation: MeTHuVA (METU tsunami human vulnerability assessment) at Yenikapı, Istanbul

et al. 2016

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Istanbul is a mega city with various coastal utilities located on the northern coast of the Sea of Marmara. At Yenikapı, there are critical vulnerable coastal utilities, structures, and active metropolitan life. Fishery ports, commercial ports, small craft harbors, passenger terminals of intercity maritime transportation, waterfront commercial and/or recreational structures with residential/commercial areas and public utility areas are some examples of coastal utilization that are vulnerable to marine disasters. Therefore, the tsunami risk in the Yenikapı region is an important issue for Istanbul. In this study, a new methodology for tsunami vulnerability assessment for areas susceptible to tsunami is proposed, in which the Yenikapı region is chosen as a case study. Available datasets from the Istanbul Metropolitan Municipality and Turkish Navy are used as inputs for high-resolution GIS-based multi-criteria decision analysis (MCDA) evaluation of tsunami risk in Yenikapı. Bathymetry and topography database is used for high-resolution tsunami numerical modeling where the tsunami hazard, in terms of coastal inundation, is deterministically computed using the NAMI DANCE numerical code, considering earthquake worst case scenarios. In order to define the tsunami human vulnerability of the region, two different aspects, vulnerability at location and evacuation resilience maps were created using the analytical hierarchical process (AHP) method of MCDA. A vulnerability at location map is composed of metropolitan use, geology, elevation, and distance from shoreline layers, whereas an evacuation resilience map is formed by slope, distance within flat areas, distance to buildings, and distance to road networks layers. The tsunami risk map is then computed by the proposed new relationship which uses flow depth maps, vulnerability at location maps, and evacuation resilience maps. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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A 3-tier tsunami vulnerability assessment technique for the north-west coast of Peninsular Malaysia

Cited by 22 publications

References 17 publications

Territorial Vulnerability Assessment Supporting Risk Managing Coastal Areas Due to Tsunami Impact

Territorial Vulnerability Assessment Supporting Risk Managing Coastal Areas Due to Tsunami Impact

A Decade after the Tsunami: Preliminary Exploration Deposit Layer of Sediment at Coast Area of Kedah, Malaysia

A new GIS-based tsunami risk evaluation: MeTHuVA (METU tsunami human vulnerability assessment) at Yenikapı, Istanbul

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