Evaluation of tsunami inundation using synthetic aperture radar (SAR) data and numerical modeling

M. Iyyappan (), Tune Usha, S. S. Ramakrishnan, K. Srinivasa Raju, Gita Gopinath, S. Chenthamil Selvan, S. K. Dash and P. Mishra
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M. Iyyappan: Integrated Coastal and Marine Area Management (ICMAM) -Project Directorate, Ministry of Earth Sciences, Government of India
Tune Usha: Integrated Coastal and Marine Area Management (ICMAM) -Project Directorate, Ministry of Earth Sciences, Government of India
S. S. Ramakrishnan: Anna University
K. Srinivasa Raju: Anna University
S. Chenthamil Selvan: Integrated Coastal and Marine Area Management (ICMAM) -Project Directorate, Ministry of Earth Sciences, Government of India
S. K. Dash: Integrated Coastal and Marine Area Management (ICMAM) -Project Directorate, Ministry of Earth Sciences, Government of India
P. Mishra: Integrated Coastal and Marine Area Management (ICMAM) -Project Directorate, Ministry of Earth Sciences, Government of India

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2018, vol. 92, issue 3, No 8, 1419-1432

Abstract: Abstract Little Andaman, the fourth largest island in the Andaman group of islands of India, was severely affected by the December 26, 2004, Indian Ocean tsunami generated by massive earthquake of moment magnitude 9.3 Mw which devastated the Andaman and Nicobar group of islands causing heavy damage to life and property. Due to hostile terrain conditions not much information was available on the extent of inundation and run-up along the island except for Hut Bay region. In order to study the vulnerability of the island to tsunami hazard, the inundation in the island due to the 2004 tsunami was studied using TUNAMI N2 numerical model and ENVISAT ASAR datasets. The extent of inundation derived from the SAR imagery was compared using the RTK-GPS field survey points collected in the Hut Bay regions immediately after the 2004 tsunami. The extent of inundation obtained from SAR images for the entire island was compared with inundation obtained from model. It was observed that the inundation obtained from the model matched well with inundation extent from SAR imagery for nearshore regions, while for low-lying areas and creeks large deviations were observed. In the absence of field datasets, the inundation derived from SAR imagery would be effective in providing ground data to validate the numerical models which can then be run for multiple scenarios for disaster mitigation and planning operation in areas that have hostile terrain conditions.

Keywords: Little Andaman; India; SAR; Tsunami; TUNAMI N2 (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s11069-018-3257-4

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