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Tsunami vulnerability assessment in urban areas using numerical model and GIS

Author

Listed:
  • Tune Usha
  • M. Murthy
  • N. Reddy
  • Pravakar Mishra

Abstract

Natural disasters can neither be predicted nor prevented. Urban areas with a high population density coupled with the construction of man-made structures are subjected to greater levels of risk to life and property in the event of natural hazards. One of the major and densely populated urban areas in the east coast of India is the city of Chennai (Madras), which was severely affected by the 2004 Tsunami, and mitigation efforts were severely dampened due to the non-availability of data on the vulnerability on the Chennai coast to tsunami hazard. Chennai is prone to coastal hazards and hence has hazard maps on its earth-quake prone areas, cyclone prone areas and flood prone areas but no information on areas vulnerable to tsunamis. Hence, mapping has to be done of the areas where the tsunami of December 2004 had directly hit and flooded the coastal areas in Chennai in order to develop tsunami vulnerability map for coastal Chennai. The objective of this study is to develop a GIS-based tsunami vulnerability map for Chennai by using a numerical model of tsunami propagation together with documented observations and field measurements of the evidence left behind by the tsunami in December 2004. World-renowned and the second-longest tourist beach in the world “Marina” present in this region witnessed maximum death toll due to its flat topography, resulting in an inundation of about 300 m landward with high flow velocity of the order of 2 m/s. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Tune Usha & M. Murthy & N. Reddy & Pravakar Mishra, 2012. "Tsunami vulnerability assessment in urban areas using numerical model and GIS," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 60(1), pages 135-147, January.
    • Handle: RePEc:spr:nathaz:v:60:y:2012:i:1:p:135-147
    DOI: 10.1007/s11069-011-9957-7
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    Citations

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    Cited by:

    1. Duygu Tufekci & Mehmet Lutfi Suzen & Ahmet Cevdet Yalciner & Andrey Zaytsev, 2018. "Revised MeTHuVA method for assessment of tsunami human vulnerability of Bakirkoy district, Istanbul," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 90(2), pages 943-974, January.
    2. M. Iyyappan & Tune Usha & S. S. Ramakrishnan & K. Srinivasa Raju & G. Gopinath & S. Chenthamil Selvan & S. K. Dash & P. Mishra, 2018. "Evaluation of tsunami inundation using synthetic aperture radar (SAR) data and numerical modeling," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1419-1432, July.
    3. Guangyun Gao & Shaofeng Yao & Yujun Cui & Qingsheng Chen & Xianlin Zhang & Kewen Wang, 2018. "Zoning of confined aquifers inrush and quicksand in Shanghai region," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(3), pages 1341-1363, April.

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