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Coastal sensitivity assessment for Thiruvananthapuram, west coast of India

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  • J. Shaji

Abstract

The densely populated coastline of Thiruvananthapuram district of Kerala, along the southwest coast of India, is sensitive to sea surge and severe coastal erosion. The December 2004 Indian Ocean Tsunami had inundated several parts of this coastal zone, indicating nature of sensitivity. The present study is an attempt to develop a coastal sensitivity index (CSI) for Thiruvananthapuram coast within the framework of coastal sediment cells. Seven variables, namely (a) coastal slope, (b) geomorphology, (c) shoreline change, (d) mean sea-level rise, (e) nearshore slope, (f) significant wave height and (g) mean tide range, were adopted in calculation of CSI (the square root of the product of the ranked variables divided by the number of variables). Remote sensing data, topographic maps supported by field work and data from numerical models are used in geographic information system environment to generate CS index for each kilometer segment of this 76-km coastline. This study reveals that 72 % of the Thiruvananthapuram coastline falls in the high sensitive category. This exercise, first of its kind for Kerala coast will be useful for disaster mitigation and management. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • J. Shaji, 2014. "Coastal sensitivity assessment for Thiruvananthapuram, west coast of India," 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. 73(3), pages 1369-1392, September.
  • Handle: RePEc:spr:nathaz:v:73:y:2014:i:3:p:1369-1392
    DOI: 10.1007/s11069-014-1139-y
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    References listed on IDEAS

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    1. A. Arun Kumar & Pravin Kunte, 2012. "Coastal vulnerability assessment for Chennai, east coast of India using geospatial techniques," 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. 64(1), pages 853-872, October.
    2. P. Sheik Mujabar & N. Chandrasekar, 2013. "Coastal erosion hazard and vulnerability assessment for southern coastal Tamil Nadu of India by using remote sensing 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. 69(3), pages 1295-1314, December.
    3. Oz Sahin & Sherif Mohamed, 2014. "Coastal vulnerability to sea-level rise: a spatial–temporal assessment framework," 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. 70(1), pages 395-414, January.
    4. Ning Lin & Kerry Emanuel & Michael Oppenheimer & Erik Vanmarcke, 2012. "Physically based assessment of hurricane surge threat under climate change," Nature Climate Change, Nature, vol. 2(6), pages 462-467, June.
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    1. Neelima Thankappan & Noujas Varangalil & Thomas Kachapally Varghese & Kurian Njaliplackil Philipose, 2018. "Coastal morphology and beach stability along Thiruvananthapuram, south-west coast of India," 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(3), pages 1177-1199, February.
    2. Namir Domingos Raimundo Lopes & Tianxin Li & Nametso Matomela & Rui Moutinho Sá, 2022. "Coastal vulnerability assessment based on multi-hazards and bio-geophysical parameters. case study - northwestern coastline of Guinea-Bissau," 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. 114(1), pages 989-1013, October.
    3. Zhaoxia Xu & Xiaoping Zhou & Qihu Qian, 2021. "The global sensitivity analysis of slope stability based on the least angle regression," 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. 105(3), pages 2361-2379, February.

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