Tsunami Vulnerability Assessment of Cuddalore Using Numerical Model and GIS

Murthy, M.V. Ramana; Usha, Tune; Pari, Y.; Reddy, N. T.

doi:10.1080/01490419.2011.547797

Cited by 10 publications

(4 citation statements)

References 15 publications

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“…This study presents a new multidimensional methodology that combines four domains of analysis, based on the morphological, structural, social, and tributary components of vulnerability related to tsunamis inundation. The selection of the components was based on several studies: morphologic component, structural component, social component . Finally, we introduce a new component for land allocation based on a property tax…”

Section: Methodsmentioning

confidence: 99%

“…New parameters (in bold in Table ) were introduced in this component that are related to the occupation, functionality, and structure of the buildings, which were not covered by previous methodologies, including those presented by Dall'Osso et al . and Ismail et al .…”

Section: Methodsmentioning

confidence: 99%

“…This was supported by previously validated methodologies. Furthermore, this innovative methodology assesses tsunami vulnerability in terms of the morphological component, structural component, social component and taxable property component. Portugal does not have significant earthquake activity.…”

Section: Introductionmentioning

confidence: 99%

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Multidimensional Approach for Tsunami Vulnerability Assessment: Framing the Territorial Impacts in Two Municipalities in Portugal

2016

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This study presents a new multidimensional methodology for tsunami vulnerability assessment that combines the morphological, structural, social, and tax component of vulnerability. This new approach can be distinguished from previous methodologies that focused primarily on the evaluation of potentially affected buildings and did not use tsunami numerical modeling. The methodology was applied to the Figueira da Foz and Vila do Bispo municipalities in Portugal. For each area, the potential tsunami-inundated areas were calculated considering the 1755 Lisbon tsunami, which is the greatest disaster caused by natural hazards that ever occurred in Portugal. Furthermore, the four components of the vulnerability were calculated to obtain a composite vulnerability index. This methodology enables us to differentiate the two areas in their vulnerability, highlighting the characteristics of the territory components. This methodology can be a starting point for the creation of a local assessment framework at the municipal scale related to tsunami risk. In addition, the methodology is an important support for the different local stakeholders.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Multidimensional Approach for Tsunami Vulnerability Assessment: Framing the Territorial Impacts in Two Municipalities in Portugal

2016

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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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The Large Andaman Islands Earthquake of 26 June 1941: Why No Significant Tsunami?

Okal

2019

Pure Appl. Geophys.

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Tsunami Vulnerability Assessment of Cuddalore Using Numerical Model and GIS

Cited by 10 publications

References 15 publications

Multidimensional Approach for Tsunami Vulnerability Assessment: Framing the Territorial Impacts in Two Municipalities in Portugal

Multidimensional Approach for Tsunami Vulnerability Assessment: Framing the Territorial Impacts in Two Municipalities in Portugal

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

The Large Andaman Islands Earthquake of 26 June 1941: Why No Significant Tsunami?

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