Impact of very severe cyclonic storm Phailin on shoreline change along South Odisha Coast
- 47 Downloads
The present study makes a qualitative and quantitative assessment of inundation limit, the structural damage and shoreline change due to very severe cyclonic storm Phailin and also estimates the rate of recovery along different parts of south Odisha coast. At the time of landfall of Phailin along Odisha and adjoining Andhra Pradesh coast on October 12, 2013, maximum sustained surface wind speed reached up to 200–210 kmph gusting to 220 kmph with an estimated pressure drop 66 mbar at the center. Significant wave heights reached up to more than 7 m with a mean period range between 4 and 12 s from southeast direction during the event. Strong gale wind and high wave followed by massive rainfall brought irreparable damage to the coastal structures and shoreline along south Odisha. Real-time kinematics global positioning system and differential global positioning system Arcpad were used to monitor the shoreline change before and after Phailin and the inundation limit. The study indicates maximum inundation at southernmost part of Odisha coast (Ramayapatnam) followed by inside the Gopalpur Port area and minimum near Gopalpur port north. Shoreline change from pre- (September 2013) to post-storm period (October 2013) is landward all along south Odisha coast with maximum (48.7 m) near Rushikulya turtle nesting beach and minimum (12.6 m) near south of Gopalpur tourist beach. The recovery of the beach and dune areas assessed during October 2014 (after 1 year from the post-storm observation) is uneven. Percentage of recovery is maximum at south side of Gopalpur port, while recovery is minimum on north of the port.
KeywordsTropical cyclone Inundation Beach morphology Coastal structure Odisha coast
This work is a part of the consultancy project “Environmental monitoring of Gopalpur port Limited.” Authors are grateful to Gopalpur port Limited, Berhampur University and IMD, Gopalpur for their generous support to carry out this work. The authors dedicate this paper to late Shraban Kumar Barik, who was actively involved in the study and passed away in March 2018.
- Dube SK, Rao AD, Sinha PC, Murty TS, Bahulayan N (1997) Storm surge in the Bay of Bengal and Arabian Sea: the problem and its prediction. Mausam 48:283–304Google Scholar
- IMD (2008) Tracks of cyclones and depressions in the Bay of Bengal and the Arabian Sea 1891–2007, Electronic version 1.0, Accessed June 2008Google Scholar
- IMD (2013) Very severe Cyclonic Storm, PHAILIN over the Bay of Bengal (08–14 October 2013): a report by India Meteorological Department, Electronic version, Accessed June 2014Google Scholar
- Larson M, Kraus NC (1989) SBEACH: numerical model for simulating storm-induced beach change. Report 1. Empirical foundation and model development (No. CERC-TR-89-9). Coastal Engineering Research Center, Vicksburg, MSGoogle Scholar
- Larson M, Kraus NC, Byrnes MR (1990) SBEACH: numerical model for simulating storm-induced beach change. Report 2. Numerical formulation and model tests (No. CERC/TR-89-9). Coastal Engineering Research Center, Vicksburg, MSGoogle Scholar
- Mahala BK (2015) Tropical cyclones and their risk assessment studies along the Odisha coast. PhD thesis, Utkal University, India, p 260Google Scholar
- Mohanty UC, Gupta A (2002) Tropical cyclone understanding and prediction. In: Lecture notes of the workshop on forecasting and mitigation of meteorological disasters: tropical cyclones, floods and droughts, 13–14 Feb 2002, pp 33–48Google Scholar
- Pandav B, Choudhury BC, Shankar K (1998) The Olive Ridley sea turtles (Lepidochelys olivacea) in Orissa: an urgent call for an intensive and integrated conservation programme. Curr Sci 75(12):1323–1328Google Scholar
- Trifonova E, Valchev N, Andreeva N, Eftimova P, Kotsev I (2011) Measurements and analysis of storm induced short-term morphological changes in the Western Black Sea. J Coast Res, SI 64 (Proceedings of the 11th international coastal symposium), 149–154. Szczecin, Poland, ISSN 0749-0208Google Scholar