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Assessment of Coastal Erosion Vulnerability around Midnapur-Balasore Coast, Eastern India using Integrated Remote Sensing and GIS Techniques

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Abstract

Digha coastal region in the northeastern part of the Bay of Bengal is potentially vulnerable to erosional hazard. The present study assessed the coastal erosion vulnerability along this 65 km long coastal stretch located between Rasulpur (Midnapur) and Subarnarekha (Balasore) estuarine complex, which had been subjected to anthropogenic intervention. Multi-resolution Landsat satellite imagery were used for shoreline change study from 1972 to 2010. During this period, accretion was recorded updrift of artificial structures, viz, seawall, groin, pylons and jetties; while, extensive erosion was recorded in downdrift areas of these structures. Assessment was subsequently divided into four categories ranging from “high erosion” to “accretion”. Data from several sources were compiled to map landuse and human activities in the coastal zone. This map was divided into four categories, ranging from “very high capital” to “no capital” landuse. Population density map of the surrounding coastal villages was generated using census data, and divided into four categories ranging from “high density area” to “very low density area”. Subsequently, coastal erosion vulnerability was assessed by combining coastal retreat with landuse type and population density in this study area using simple vector algebraic technique. Zones of vulnerability of different magnitude (viz., very high, high, moderate, and low) have been identified. Furthermore, calculation of “imminent collapse zone (ICZ)” shows that maximum values are around artificial structures and anthropogenic activities. The coastal erosion vulnerability map prepared from this study can be used for proper planning and management of this coastal region.

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References

  • Allan, J. C., Komar, P. D., & Priest, G. R. (2003). Shoreline variability on the high-energy Oregon Coast and its usefulness in erosion-hazard assessments. Journal of Coastal Research, 38(SI), 83–105.

    Google Scholar 

  • Anfuso, G., & Martinez Del Pozo, J. A. (2009). Assessment of coastal vulnerability through the use of GIS tools in South Sicily (Italy). Environmental Management, 43, 533–545.

    Article  Google Scholar 

  • Bhattacharya, A., Sarkar, S. K., & Bhattacharya, A. (2003). An assessment of coastal modification in the low lying tropical coast of north east India and role of natural and artificial forcings’, International Conference on Estuaries and Coasts, 2003 November 9–11 (pp. 158–165). China: Hangzhou.

    Google Scholar 

  • Bird, E. C. (1993). Submerging coasts. New York: Wiley.

    Google Scholar 

  • Boruff, B. J., Emrich, C., & Cutter, S. L. (2005). Erosion hazard vulnerability of US coastal countries. Journal of Coastal Research, 21(5), 932–942.

    Article  Google Scholar 

  • Carter, R.W.G. (1988). Coastal environments, Academic Press.

  • Chakrabarty, A. (2005). Sedimentary structures of tidal flats: a journey from coast to inner estuarine region of eastern India. Journal of Earth System Science, 114(3), 353–368.

    Article  Google Scholar 

  • Cooper, J. A., Jackson, D., Nava, F., McKenna, J., & Malvarez, G. (2004). Storm impacts on an embayed high energy coastline, western Ireland. Marine Geology, 210, 261–280.

    Article  Google Scholar 

  • Cooper, J. A., & McLaughlin, S. (1998). Contemporary multidisciplinary approaches to coastal classification and environmental risk analysis. Journal of Coastal Research, 14(2), 512–524.

    Google Scholar 

  • Crowell, M., Leatherman, S. P., & Buckley, M. (1993). Shore-line change rate analysis: long term versus short term data. Shore and Beach, 61(2), 13–20.

    Google Scholar 

  • Crowell, M., Leikin, H., & Buckley, M. K. (1999). Evaluation of erosion hazards study: an overview. Journal of Coastal Research, 1(SI), 2–9.

    Google Scholar 

  • Devoy, R. J. N. (1992). Questions of coastal protection and the human response to sea-level rise in Ireland and Britain. Irish Geography, 25(1), 1–22.

    Article  Google Scholar 

  • Dewidar, K. H., & Frihy, O. (2008). Pre- and post-beach response to engineering hard structures using Landsat time-series at the northwestern part of the Nile delta, Egypt. Journal of Coastal Conservation, 11, 133–142.

    Article  Google Scholar 

  • Dey, S., Ghosh, P., & Nayak, A. (2005). The influences of natural environment upon the evolution of sand dunes in tropical environment along Medinipur coastal area, India. The Indonesian Journal of Geography, 37(1), 51–68.

    Google Scholar 

  • Dilley, R. S., & Rasid, H. (1990). Human response to coastal erosion: Thunder Bay, Lake Superior. Journal of Coastal Research, 6(4), 779–788.

    Google Scholar 

  • Dolan, R., Fester, M. S., & Holme, S. J. (1991). Temporal analysis of shoreline recession and accretion. Journal of Coastal Research, 7(3), 723–744.

    Google Scholar 

  • Dominguez, L., Anfuso, G., & Gracia, F. J. (2005). Vulnerability assessment of a retreating coast in SW Spain. Environmental Geology, 47, 1037–1044.

    Article  Google Scholar 

  • Douglas, B. C., & Crowell, M. (2000). Long-term shoreline position prediction and error propagation. Journal of Coastal Research, 16(1), 145–152.

    Google Scholar 

  • ERDAS. (2005). ERDAS Field Guide (p. 212). Atlanta: ERDAS.

    Google Scholar 

  • Forbes, D., Parkers, G., Manson, G., & Ketch, K. (2004). Storms and shoreline retreat in the southern Gulf of St. Lawrence. Marine Geology, 210(1–4), 169–204.

    Article  Google Scholar 

  • Friedman, G. M., & Sanders, J. E. (1978). Principles of sedimentology. New York: John Wiley.

    Google Scholar 

  • Gornitz, V., Daniels, R. C., White, T. W., & Birdwell, K. R. (1993). “The development of a coastal risk assessment database: vulnerability to sea-level rise in the U.S. southeast”, DE-AC05-84OR21400, U.S. Government Report, Oak Ridge National Laboratory, Tennessee.

  • Gornitz, V. M., Beaty, T. W., & Daniels, R. C. (1997). “A coastal hazard database for US West Coast. Oak Ridge”, Tennessee: Environmental Science Division, U.S. Department of Energy, ORNL/ CDIAC-81 NDP-043C, 147.

  • Hegde, A. V., & Reju, V. R. (2007). Development of coastal vulnerability index for Mangalore coast, India. Journal of Coastal Research, 23(5), 1106–1111.

    Article  Google Scholar 

  • Hengl, T. (2006). Finding the right pixel size. Computers and Geosciences, 32(9), 1283–1298.

    Article  Google Scholar 

  • Kumar, A., Narayana, A. C., & Jayappa, K. S. (2010). Shoreline changes and morphology of spits along southern Karnataka, west coast of India: A remote sensing and statistics-based approach. Geomorphology, 120(3–4), 133–152.

    Article  Google Scholar 

  • Lambin, E. F., & Strahler, A. H. (1994). Change-vector analysis in multitemporal space: a tool to detect and categorize land cover change processes using high temporal resolution satellite data. Remote Sensing of Environment, 48, 231–244.

    Article  Google Scholar 

  • Lee, J. S., & Jurkevich, I. (1990). Coastline detection and tracing in SAR images. IEEE Transactions on Geoscience and Remote Sensing, 28(4), 662–668.

    Article  Google Scholar 

  • Leggett, D. J., & Jones, A. (1996). The application of GIS for flood defence in the Anglian Region: developing for the future. International Journal of Geographical Information Systems, 19(1), 103–116.

    Google Scholar 

  • Lillesand, T. M., & Kiefer, R. W. (2000). Remote Sensing and Image Interpretation (4th ed.). New York: John Wiley & Sons.

    Google Scholar 

  • Maiti, S., & Bhattacharya, A. K. (2009). Shoreline change analysis and its application to prediction: a remote sensing and statistics based approach. Marine Geology, 257, 11–23.

    Article  Google Scholar 

  • Masselink, G., & Pattiaratchi, C. B. (2001). Seasonal changes in beach morphology along the sheltered coastline of Perth, Western Australia. Marine Geology, 172, 243–263.

    Article  Google Scholar 

  • McLaughlin, S., McKenna, J., & Cooper, J. A. G. (2002). Socio-economic data in coastal vulnerability indices: constraints and opportunities. Journal of Coastal Research (ICS Proceedings), 36(SI), 487–497.

    Google Scholar 

  • Niyogi, D. (1970). Geological background of beach erosion at Digha, West Bengal. Bulletin of Geological Mining Metallurgical Society of India, 19, 191–195.

    Google Scholar 

  • Paul, A. K. (2002). Coastal Geomorphology and Environment: Sunadrban Coastal Plain, Kanthi Coastal Plain, Subarnarekha Delta Plain. Kolkata: acb Publication.

    Google Scholar 

  • Paul, S. K. (2006). Issues in coastal zone management of Digha-Shankarpur coastal area. ISRO-RSAM Project Report. Kharagpur: RRSSC.

    Google Scholar 

  • Pendleton, E. A., Thieler, E. R., Jeffress, S. W. (2005). “Coastal Vulnerability Assessment of Golden Gate National Recreation Area to Sea-Level Rise”, USGS Open-File Report, pp 2005–1058.

  • Pethick, J. (2001). Coastal management and sea level rise. Catena, 42(2–4), 307–322.

    Article  Google Scholar 

  • Rao, K. N., Subraelu, P., Rao, T. V., Malini, B. H., Ratheesh, R., Bhattacharya, S., Rajawat, A. S., Ajai (2008). Sea-level rise and coastal vulnerability: an assessment of Andhra Pradesh coast, India through remote sensing and GIS. Journal of Coastal Conservation, 12, 195–207.

    Google Scholar 

  • Rivas, V., & Cendrero, A. (1994). Human influence in a low-hazard coastal area: an approach to risk assessment and proposal of mitigation strategies. In C. W. Finkl (Ed.), Coastal hazards: Perception, susceptibility and mitigation (pp. 289–298). Fort Lauderdale: The Coastal Education and Research Foundation.

    Google Scholar 

  • Savage, R. J., & Foster, E. R. (1989). “Historical shoreline change in southeast Florida. In: O.T Magoon, H. Converse and Miner D, et al. (Eds.), Coastal zone’89”, American Society of Civil Engineers 5, (pp. 4406–4433).

  • Scheffers, A., Scheffers, S., & Kelletat, D. (2005). Paleo-tsunami relics on the southern and central Antillean island arc. Journal of Coastal Research, 21(2), 263–273.

    Article  Google Scholar 

  • Singh, A. (1989). Digital change detection techniques using remotely sensed data. International Journal of Remote Sensing, 10, 989–1003.

    Article  Google Scholar 

  • Srinivasa Kumar, T., 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.

    Article  Google Scholar 

  • Thom, B. G., & Hall, W. (1991). Behaviour of beach profile during accretion and erosion dominated periods. Earth Surface Processes and Landforms, 16, 113–127.

    Article  Google Scholar 

  • USGS Global Visualization Viewer. (2011). USGS science for a changing world. http://glovis.usgs.gov/. Accessed February 2011.

Download references

Acknowledgments

The authors thank USGS Global Visualization Viewer (GLOVIS) for providing free satellite data. The authors thank Indian Space Research Organisation (ISRO), India for providing financial assistance during this study under RESPOND Program. Authors also thank Dr. Sabyasachi Maiti and Mr. M. Das Adhikari, IIT Kharagpur for their help at various stages of the research work.

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Correspondence to Amit K. Bhattacharya.

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Jana, A., Bhattacharya, A.K. Assessment of Coastal Erosion Vulnerability around Midnapur-Balasore Coast, Eastern India using Integrated Remote Sensing and GIS Techniques. J Indian Soc Remote Sens 41, 675–686 (2013). https://doi.org/10.1007/s12524-012-0251-2

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  • DOI: https://doi.org/10.1007/s12524-012-0251-2

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