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Geoinformatics based assessment of coastal multi-hazard vulnerability along the East Coast of India

  • K. K. Basheer Ahammed
  • Arvind Chandra Pandey
Article
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Abstract

Climate change is one of the major threatens that coastal areas facing, and these coastal areas already stressed by large population. Past 4 decades tremendous tropical cyclones and associated flood are dismantled the coastline and resulted inundation and displacement of the coastal landforms. In the present study, coastal multi hazard vulnerability mapping has been carried out along the Krishna–Godavari deltaic plain, eastern coast of India. The study area consisting of four district include East Godavari, West Godavari, Krishna and Gundur which are the area affected by coastal hazards and climate variability. The area witnessed a high erosion rate up to 18 m/year in comparison to other regions in the state. Further this area exhibit low elevated topography, therefore sea level rise would lead to permanent inundation. In the study also identified about that 1147 sq km area is falling under multi hazard zone and around 102 coastal villages are under threat. This study revealed that the use of multi layer information combined with geospatial tools is most reliable and coast effective approach for disaster preparedness and adaptation. The result obtained from the present study may serve the baseline information for disaster management planning in the area.

Keywords

Coastal multi-hazard Climate change Sea level Shoreline change Storm surge Geospatial analysis 

Notes

Acknowledgements

The authors would like to thank US Geological Survey, for the Landsat data, Global Sea Level Observing System (GLOSS) for the sea level data and USGS for the making available the Digital Shoreline Analysis Software (DSAS) on their website. And also would like to acknowledge AVISO+ and Global Risk Data Platform (GRDP) for providing Satellite altimetry data and historical cyclone and storm surge data for the study.

References

  1. 1.
    Fang, J., Kong, F., Fang, J., & Zhao, L. (2018). Observed changes in hydrological extremes and flood disaster in Yangtze River Basin: Spatial–temporal variability and climate change impacts. Natural Hazards, 93(1), 89–107.  https://doi.org/10.1007/s11069-018-3290-3.CrossRefGoogle Scholar
  2. 2.
    Kopp, R. E., Horton, R. M., Little, C. M., Mitrovica, J. X., Oppenheimer, M., Rasmussen, D. J., et al. (2014). Probabilistic 21st and 22nd century sea-level projections at a global network of tide-gauge sites. Earth’s Future, 2(8), 383–406.CrossRefGoogle Scholar
  3. 3.
    Lin, N., Kopp, R. E., Horton, B. P., & Donnelly, J. P. (2016). Hurricane Sandy’s flood frequency in-creasing from year 1800 to 2100. Proc: Proceedings of the National Academy of Sciences.  https://doi.org/10.1073/pnas.1604386113.Google Scholar
  4. 4.
    Lin, N., & Shullman, E. (2017). Dealing with hurricane surge flooding in a changing environment: Part I. Risk assessment considering storm climatology change, sea level rise, and coastal development. Stochastic Environmental Research and Risk Assessment, 31(9), 2379–2400.CrossRefGoogle Scholar
  5. 5.
    Hanson, S., Nicholls, R., Ranger, N., Hallegatte, S., Corfee-Morlot, J., Herweijer, C., et al. (2011). A global ranking of port cities with high exposure to climate extremes. Climatic Change, 104(1), 89–111.  https://doi.org/10.1007/s10584-010-9977-4.CrossRefGoogle Scholar
  6. 6.
    Xian, S., Yin, J., Lin, N., & Oppenheimer, M. (2018). Influence of risk factors and past events on flood resilience in coastal megacities: Comparative analysis of NYC and Shanghai. Science of the Total Environment, 610, 1251–1261.  https://doi.org/10.1016/j.scitotenv.2017.07.229.CrossRefGoogle Scholar
  7. 7.
    Mahendra, R. S., Mohanty, P. C., Bisoyi, H., Kumar, T. S., & Nayak, S. (2011). Assessment and management of coastal multi-hazard vulnerability along the Cuddalore-Villupuram, east coast of India using geospatial techniques. Ocean and Coastal Management, 54(4), 302–311.  https://doi.org/10.1016/j.ocecoaman.2010.12.008.CrossRefGoogle Scholar
  8. 8.
    Cutter, S. L., Mitchell, J. T., & Scott, M. S. (2000). Revealing the vulnerability of people and places: A case study of Georgetown County, South Carolina. Annals of the Association of American Geographers, 90(4), 713–737.CrossRefGoogle Scholar
  9. 9.
    Federal Emergency Management Agency (FEMA). (1997). Multi-hazard Identification and Risk Assessment. Washington: Government Printing Office.Google Scholar
  10. 10.
    McPherson, K. (1993). The Indian Ocean: A history of people and the sea. Oxford: Oxford University Press.Google Scholar
  11. 11.
    Breasted, J. H. (1912). The Periplus of the Erythraean Sea: Travel and trade in the Indian Ocean by a Merchant of the first century (p. 323) (Translated from the Greek and annotated by Wilfred h. Schoff, AM, Secretary of the Commercial Museum, Philadelphia). New York: Longmans, Green, and Company.Google Scholar
  12. 12.
    Kelly, D. (2017). 10 lost underwater cities of the ancient world—Urban Ghosts. Urban Ghosts Media. Retrieved 8 December, 2017. https://www.urbanghostsmedia.com/2015/01/10-lost-underwater-cities-ancient-world-sunken-civilisations/2/.
  13. 13.
    Nelz, J. (2017). 7 cities in PH that will be submerged in water by 2085 due to climate change. Philippine News. Retrieved 8 December, 2017. https://philnews.ph/2017/09/14/7-cities-ph-will-submerged-water-2085/.
  14. 14.
    Kumar, A. A., & Kunte, P. D. (2012). Coastal vulnerability assessment for Chennai, east coast of India using geospatial techniques. Natural Hazards, 64(1), 853–872.CrossRefGoogle Scholar
  15. 15.
    Ede, A. N. (2013). Building collapse in Nigeria: The trend of casualties the last decade (2000–2010). International Journal of Civil & Environmental Engineering, 10(6), 32–42.Google Scholar
  16. 16.
    Basheer Ahammed, K. K., Mahendra, R. S., & Pandey, A. C. (2016). Coastal vulnerability assessment for Eastern Coast of India, Andhra Pradesh by using geo-spatial technique. Geoinformatics & Geostatistics: An Overview, 4(3), 1–8.Google Scholar
  17. 17.
    United Nations Environment Programme. (1992). The world environment 1972–1992: Two decades of challenge (p. 884). New York: Chapman & Hall.Google Scholar
  18. 18.
    Nicholls, R. J. (1995). Coastal megacities and climate change. GeoJournal, 37(3), 369–379.CrossRefGoogle Scholar
  19. 19.
    Kumar, T. S., Mahendra, R. S., Nayak, S., Radhakrishnan, K., & Sahu, K. C. (2010). Coastal vulnerability assessment for Orissa State, East Coast of India. Journal of Coastal Research, 26(3), 523–534.CrossRefGoogle Scholar
  20. 20.
    Cuny, F. C. (1994). Disasters and development. Dallas: Intertect Press.Google Scholar
  21. 21.
    Bhandari, R. K. (2014). Disaster Education and Management: A Joyride for Students, Teachers and Disaster Managers. New Delhi: Springer.CrossRefGoogle Scholar
  22. 22.
    Jackman, A. M., Beruvides, M. G., & Nestler, G. S. (2017). Disaster policy and its practice in the United States: A brief history and analysis. New York: Momentum Press.Google Scholar
  23. 23.
    Murty, P. L. N., Padmanabham, J., Kumar, T. S., Kumar, N. K., Chandra, V. R., Shenoi, S. S. C., et al. (2017). Real-time storm surge and inundation forecast for very severe cyclonic storm ‘Hudhud’. Ocean Engineering, 131, 25–35.CrossRefGoogle Scholar
  24. 24.
    Hoque, M. A. A., Phinn, S., Roelfsema, C., & Childs, I. (2017). Tropical cyclone disaster management using remote sensing and spatial analysis: A review. International Journal of Disaster Risk Reduction, 22, 345–354.CrossRefGoogle Scholar
  25. 25.
    Basheer Ahammed, K. K., & Pandey, A. C. (2018). Shoreline morphology changes along the Eastern Coast of India, Andhra Pradesh by using geospatial technology. Journal of Coastal Conservation.  https://doi.org/10.1007/s11852-018-0662-5.Google Scholar
  26. 26.
    Kaphle, M., & Bastakoti, N. (2017). Livestock insurance as a coping strategy against economic loss and food insecurity: A case from rural communities of Nawalparasi District Nepal. Journal of International Development, 29(7), 1016–1024.CrossRefGoogle Scholar
  27. 27.
    Seo, S. N. (2017). Measuring policy benefits of the cyclone shelter program in the North Indian Ocean: Protection from intense winds or high storm surges? Climate Change Economics, 8(4), 1750011.CrossRefGoogle Scholar
  28. 28.
    Dube, S. K., Jain, Indu, Rao, A. D., & Murty, T. S. (2009). Storm surge modelling for the Bay of Bengal and Arabian Sea. Natural Hazards, 51(3), 27.Google Scholar
  29. 29.
    Rao, A. D., Chittibabu, P., Murty, T. S., Dube, S. K., & Mohanty, U. C. (2007). Vulnerability from storm surges and cyclone wind fields on the coast of Andhra Pradesh, India. Natural Hazards, 41(3), 515–529.CrossRefGoogle Scholar
  30. 30.
    Suchitra, M. (2013). Andhra Pradesh struck by over 60 cyclones in four decades. www.downtoearth.org.in. Retrieved 1 October, 2017. http://www.downtoearth.org.in/news/andhra-pradesh-struck-by-over-60-cyclones-in-four-decades-42799.
  31. 31.
    Mahendra, R. S., Mohanty, P. C., Kumar, T. S., & Shenoi, S. S. C. (2010). Coastal multi-hazard vulnerability mapping: A case study along the coast of Nellore District, East Coast of India. Italian Journal of Remote Sensing, 42(3), 67–76.CrossRefGoogle Scholar
  32. 32.
    Thieler, E. R., Himmelstoss, E. A., Zichichi, J. L., & Ergul, A. (2009). The digital shoreline analysis system (DSAS) version 4.0-an ArcGIS extension for calculating shoreline change (No. 2008-1278). US Geological Survey.Google Scholar
  33. 33.
  34. 34.
    Eliot, I., & Clarke, D. (1989). Temporal and spatial bias in the estimation of shoreline rate-of-change statistics from beach survey information. Coastal Management, 17(2), 129–156.CrossRefGoogle Scholar
  35. 35.
    Mukhopadhyay, A., Mukherjee, S., Mukherjee, S., Ghosh, S., Hazra, S., & Mitra, D. (2012). Automatic shoreline detection and future prediction: A case study on Puri Coast, Bay of Bengal, India. European Journal of Remote Sensing, 45(1), 201–213.CrossRefGoogle Scholar
  36. 36.
    Warrick, R. A., AzizulHoq Bhuiya, A. K., Mitchell, W. M., Murty, T. S., & Rasheed, K. B. S. (1996). Sea-level changes in the Bay of Bengal. In R. A. Warrick & Q. K. Ahmad (Eds.), The implications of climate and sea-level change for Bangladesh. Dordrecht: Springer.CrossRefGoogle Scholar
  37. 37.
    Kusche, J., Uebbing, B., Rietbroek, R., Shum, C. K., & Khan, Z. H. (2016). Sea level budget in the Bay of Bengal (2002–2014) from GRACE and altimetry. Journal of Geophysical Research: Oceans, 121(2), 1194–1217.Google Scholar
  38. 38.
    Dataset: ASF DAAC. (2015). ALOS-1 PALSAR_Radiometric_Terrain_Corrected_high_res; Includes Material© JAXA/METI 2017.  https://doi.org/10.5067/jbyk3j6hfsvf.
  39. 39.
    Fang, J., Sun, S., & Shi, P. (2014). Assessment and mapping of potential storm surge impacts on global population and economy. International Journal of Disaster Risk Science, 5(4), 323–331.CrossRefGoogle Scholar
  40. 40.
    Rao, A. D., Jain, I., Murthy, M. R., Murty, T. S., & Dube, S. K. (2009). Impact of cyclonic wind field on interaction of surge–wave computations using finite-element and finite-difference models. Natural Hazards, 49(2), 225–239.CrossRefGoogle Scholar
  41. 41.
    Chandramouli, C., & Registrar General. (2011). Census of India. Rural urban distribution of population, provisional population total. New Delhi: Office of the Registrar General and Census Commissioner, India.Google Scholar
  42. 42.
    Yannie, A. B., Radzi, A. H., Dunstan, A., & Wan Mohtar, W. H. M. (2016). Impact of the sea level rise on low lying areas of coastal zone: The case of BatuPahat. In Sustainable Hydraulics in the Era of Global Change. In Proceedings of the 4th European congress of the international association of hydroenvironment engineering and research, IAHR 2016 (pp. 370–376). Balkema: CRC Press.Google Scholar
  43. 43.
    Small, C., Gornitz, V., & Cohen, J. E. (2000). Coastal hazards and the global distribution of human population. Environmental Geosciences, 7(1), 3–12.CrossRefGoogle Scholar
  44. 44.
    Rowley, R. J., Kostelnick, J. C., Braaten, D., Li, X., & Meisel, J. (2007). Risk of rising sea level to population and land area. Eos, Transactions American Geophysical Union, 88(9), 105–107.CrossRefGoogle Scholar
  45. 45.
    United Nations Development Programme (UNDP), Human Development Report. (2014). Sustaining human progress: Reducing vulnerabilities and building resilience (pp. 48–52).Google Scholar
  46. 46.
    Ewing, L. C. (2015). Resilience from coastal protection. Philosophical Transactions of the Royal Society A, 373(2053), 20140383.CrossRefGoogle Scholar
  47. 47.
    Parry, M., Parry, M. L., Canziani, O., Palutikof, J., Van der Linden, P., & Hanson, C. (Eds.). (2007). Climate change 2007-impacts, adaptation and vulnerability: Working group II contribution to the fourth assessment report of the IPCC (Vol. 4). Cambridge: Cambridge University Press.Google Scholar
  48. 48.
    Barnett, J., & Adger, W. N. (2003). Climate dangers and atoll countries. Climatic Change, 61, 321–337.CrossRefGoogle Scholar
  49. 49.
    Nicholls, R. J. (2004). Coastal flooding andwetland loss in the 21st century: Changes under the SRES climate and socio-economic scenarios. Global Environmental Change, 14, 69–86.CrossRefGoogle Scholar

Copyright information

© Korean Spatial Information Society 2019

Authors and Affiliations

  1. 1.Department of Land Resource ManagementCentral University of JharkhandRanchiIndia

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