Abstract
A study on the possible inundation limit in SE coast of India was carried out using various physical, geological and satellite imageries. The coastal inundation hazard map was prepared for this particular region as it was affected by many cyclones, flooding, storm surge and tsunami waves during the last six decades. The results were generated using various satellite data (IRS-P6 LISS3; LANDSAT ETM; LANDSAT-5 ETM; LANDSAT MSS) and digital elevation models (ASTER GLOBAL DEM), and a coastal vulnerability index was generated for the entire coastal stretch of Nagapattinam region in SE coast of India. The coastal area which will be submerged totally due to a 1–5 m rise in water level due to any major natural disaster (tsunami or cyclone) indicates that 56–320 km2 will be submerged in this particular region. The results suggest that nearly 7 towns and 69 villages with 667,477 people will be affected and indicate that proper planning needs to be done for future development.
References
Census of India (2011) Provisional population totals, paper 2, vol 1 [Data Product No. 33-002-2011. Cen-Book (E)], pp 1–44
Chert LC, Rau JY (1998) Detection of shoreline changes for tideland areas using multi temporal satellite images. Int J Remote Sens 19(17):3383–3397
Cutter S, Mitchel J, Scott M (2000) Revealing the vulnerability of people and places: a case study of George Town County, South Carolina. Ann As Am Geogr 90(4):713–737
Cyclone eAtlas (2008) Tracks of cyclones and depressions in the Bay of Bengal and the Arabian Sea 1891–2007 electronic version. India Meteorological Department, Regional Meteorological Centre, Chennai
Kalsi SR, Jayanthi N, Raj YEA, Bhomik SKR (2007) Probable maximum storm surge heights for the maritime districts of India. New Delhi. Indian Meteorological Department Mono No. Synoptic Meteorology, May 2007
Murthy KSR, Subrahmanyam AS, Murty GPS, Sarma KVLNS, Subrahmanyam V, Mohana-Rao K, Suneetha-Rani P, Anuradha A, Adilakshmi B, Sri-Devi T (2006) Factors guiding tsunami surge at the Nagapattinam–Cuddalore shelf, Tamil Nadu, east coast of India. Curr Sci 90(11):P1535–P1538
Neukermans G, Dahdouh-Guebas F, Kairo JG, Koedam N (2008) Mangrove species and stand mapping in Gazi Bay (Kenya) using Quickbird Satellite Imagery. Spat Sci 53(1):75–85
Okude AS, Ademiluyi IA (2006) Implications of the changing pattern of land cover of the Lagos coastal area of Nigeria. Am Eurasian J Sci Res 1(1):31–37
Olorunfemi JF (1983) Monitoring urban land use in developed countries—an aerial photographic approach. Environ Int 9:27–32
Shankar D (2000) Seasonal cycle of sea level and currents along the coast of India. Curr Sci 78(3):279–288
Sindhu B, Suresh I, Unnikrishnan A, Bhatkar N, Neetu S, Michael G (2007) Improved bathymetric datasets for the shallow water regions in the Indian Ocean. J Earth Syst Sci 116(3):261–274
Srinivasa-Kumar T, Mahendra RS, Nayak S, Radhakrishnan K, Sahu KC (2010) Coastal vulnerability assessment for Orissa state, East coast of India. J Coast Res 26(3):523–534
Srinivasalu S, Thangadurai N, Switzer AD, Ram-Mohan V, Ayyamperumal T (2007) Erosion and sedimentation in Kalpakkam (N Tamil Nadu, India) from the 26th December 2004 tsunami. Mar Geol 240:65–75
Sujatha CH, Benny N (2010) Impact of December 2004 tsunami on Indian coasts and mitigation measures. In: Jha MK (ed) Natural and anthropogenic disasters. Springer, Berlin, pp 60–81
Sundar D, Shankar D, Shetye S (1999) Sea level during storm surges as seen in tide-gauge records along the east coast of India. Curr Sci 77(10):1325–1332
Thakur NK, Pradeep-Kumar A (2007) Role of bathymetry in tsunami devastation along the east coast of India. Curr Sci 92(4):432–434
Thieler E, Hammar-Klose E (1999) National assessment of coastal vulnerability to future sea-level rise. Preliminary results for the U.S. Atlantic coast. http://pubs.usgs.gov/of/of99-593
Vethamony P, Rao L, Kumar R, Sarkar A, Mohan M, Sudheesh K, Karthikeyan S (2000) Wave climatology of the Indian Ocean derived from altimetry and wave model. In: The proceedings of fifth Pacific Ocean remote sensing conference (PORSEC), Dec 2000, vol 1, pp 301–304
Acknowledgments
GM wishes to thank the Department of Science & Technology, Government of India. MPJ wishes to thank SNI-CONACYT (México) and Instituto Politécnico Nacional (COFAA & EDI), México. This article is 65th contribution from Earth System Sciences Group (ESSG), Chennai, India.
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Muthusankar, G., Lakshumanan, C., Pradeep-Kishore, V. et al. Classifying inundation limits in SE coast of India: application of GIS. Nat Hazards 65, 2401–2409 (2013). https://doi.org/10.1007/s11069-012-0427-7
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DOI: https://doi.org/10.1007/s11069-012-0427-7