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Shoreline change: a study along South Odisha coast using statistical and geospatial technique

Author Affiliations

  • 1Department of Marine Sciences, Berhampur University-760007, India
  • 2Department of Marine Sciences, Berhampur University-760007, India
  • 3Department of Marine Sciences, Berhampur University-760007, India
  • 4Department of Marine Sciences, Berhampur University-760007, India
  • 5Integrated Coastal and Marine Area Management (ICMAM), Project Directorate, Chennai-600100, India
  • 6National Institute of Ocean Technology, Chennai-600100, India
  • 7Integrated Coastal and Marine Area Management (ICMAM), Project Directorate, Chennai-600100, India
  • 8Integrated Coastal and Marine Area Management (ICMAM), Project Directorate, Chennai-600100, India
  • 9Indira Gandhi Center for Atomic Research (IGCAR), Kalpakam, Tamilnadu, India

Int. Res. J. Earth Sci., Volume 5, Issue (1), Pages 1-7, January,25 (2017)

Abstract

South Odisha coast is bestowed with sandy beaches and a series of sand dunes. Keeping in view the development activities such as construction of an all weather port (Gopalpur port Limited) and extraction of beach sand by Indian Rare Earths Limited, a long term monitoring of the shoreline was conducted along 13km stretch including the Gopalpur tourist beach and Gopalpur port area. The monitoring programme involves shoreline mapping through Differential Global Positioning System (DGPS) Arc Pad in the pre-construction (2008-2010) and post-construction (2012-2014) phases of Gopalpur port. The construction at Gopalpur port includes two breakwaters and development of berth on the south and groin field (a series of 11 groins) on the north. Impact of these coastal structures on shoreline are studied and compared with the shoreline in the pre-construction phase. Shoreline change analysis involves geospatial technique (Arc View GIS 3.2a software) and statistical technique involving Digital Shoreline Analysis System (DSAS), an extension tool of Arc GIS software. Polylines are extracted and processed using geospatial technique and the statistics such as Net Shoreline Movement (NSM), Shoreline Change Envelope (SCE), End Point Rate (EPR) and Linear Regression Rate (LRR) are computed. The results indicate high erosion and accretion zones besides the rate of change of shoreline in different stretches of the observed shoreline. The results of the present study have implications on the ongoing integrated coastal zone management programme funded by the World Bank.

References

  1. Mohanty P.K., Panda U.S., Pal S.R. and Mishra P. (2008)., Monitoring and management of environmental changes along the Orissa Coast., J. Coast. Res.,24 (2A), 13–27.
  2. Morton R.A. (1996)., Geoindicators of coastal wetlands and shorelines., Geoin¬dicators: Assessing rapid environmental changes in earth systems: Rotterdam, A.A. Balkema, 207-230.
  3. Esteves L.S., Williams J.J. and Dillenburg S.R. (2006)., Seasonal and inter-annual influences on the patterns of shoreline changes in Rio Grande do Sul, southern Brazil., J. Coast. Res., 22(5), 1076–1093.
  4. Mohanty P.K., Patra S.K., Bramha S., Seth B., Pradhan U., Behera B., Mishra P. and Panda U.S. (2012)., Impact of groins on beach morphology: a case study near Gopalpur Port, east coast of India., J. Coast. Res., 28 (1), 132–142.
  5. Robertson W., Whitman D., Zhang K. and Leatherman S.P. (2004)., Mapping shoreline position using airborne laser altimetry., J. Coast. Res., 20 (3), 884–892.
  6. Mohanty P.K., Barik S.K., Kar P.K., Behera B., Mishra P. (2015)., Impacts of ports on shoreline change along Odisha coast., Procedia Eng., 116, 647–654.
  7. Özölçer I.H. and Kömürcü M.I. (2007)., Effects of straight groin parameters on amount of accretion., Indian J. Mar. Sc., 36 (3), 173-182.
  8. Badiei P., Kamphuis J.W, Hamilton D.G. (1994)., Physical experiments on the effect of groins on shore morphology., coastal eng., 1782-1796.
  9. Liao H.C. and Chu P.T. (2009)., A novel visual tracking approach incorporating global positioning system in a ubiquitous camera environment., Inform. Technol. J., 8 (4), 465-475.
  10. Thieler E.R., Himmelstoss E.A., Zichichi J.L. and Ergul A. (2009)., Digital Shoreline Analysis System (DSAS) version 4.0-An ArcGIS extension for calculating shoreline change., U.S. Geological Survey Open-File Report, 2008-1278.
  11. Mujabar S. (2011)., A Shoreline Change Analysis Along the Coast Between Kanyakumari and Tuticorin, India, Using Digital Shoreline Analysis System., Geo-spatial Inf. Sc., 14 (4), 282-293.
  12. Fenster M.S., Dolan R., Elder J. (1993)., A new method for predicting shoreline positions from historical data., J. Coast. Res., 9 (1), 147–171.
  13. Dolan R., Fenster M.S., Holme S.J. (1991)., Temporal analysis of shoreline recession and accretion., J. Coast. Res., 7 (3), 723–744.
  14. Douglas B.C., Crowell M. (2000)., Long-term shoreline position prediction and error propagation., J. Coast. Res., 16 (1), 145–152.
  15. Saxena S., Purvaja R., Suganya G.M.D. and Ramesh R. (2013)., Coastal hazard mapping in the Cuddalore region, South India., Nat. Hazards, 66 (3), 1519-1536.