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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.

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