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Shoreline change and impacts of coastal protection structures on Puducherry, SE coast of India

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Abstract

This study examines the shoreline changes that have occurred in past 23 years along Puducherry region, SE coast of India. Satellite data sets such as Landsat, Cartosat-1, Resourcesat—1 and 2 of different periods—i.e., 1991, 2000, 2006, 2008, 2012, 2013 and 2014, were used for shoreline change analysis. Shoreline extracted from these data sets was used for estimation of shoreline change rate at every 20-m interval. The overall result found that 55.9 % shows erosion, 34.9 % falls under stable, and 9.2 % shows accretion in Puducherry coast. High accretion rate of 5.0 (±1.9) m/year was noticed along the Veerampattinam region located immediate south to the Puducherry port. Medium erosion of about −3.2 (±1.9) m/year was observed along the Thengaithittu region. Remaining coast was noticed with stable to low erosion. Severe erosion was observed in northern side of the breakwater during 1991–2000 periods, whereas southern side high accretion was noticed. Groins constructed at Thandrayankuppam and Nadukuppam region protected the coast from erosion. Due to this groin construction, erosion was shifted toward the northern portion (Chinna Mudaliar Chavadi, Periya Mudaliar Chavadi and to certain extend of Bommaiyarpalayam). This study demonstrates that combined use of satellite imagery after considering the uncertainties and statistical methods can be a reliable method for shoreline change analysis for any coastal conditions.

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References

  • Airoldi L, Abbiati M, Beck MW, Hawkins SJ, Jonsson PR, Martin D, Moschella PS, Sundelof A, Thompson RC, Aberg P (2005) An ecological perspective on the deployment and design of low-crested and other hard coastal defence structures. Coast Eng 52:1073–1087

    Article  Google Scholar 

  • Albert P, Jorge G (1998) Coastal changes in the Ebro delta: natural and human factors. J Coast Conserv 4:17–26

    Article  Google Scholar 

  • Anders FJ, Byrnes MR (1991) Accuracy of shoreline change rates as determined from maps and aerial photographs. Shore Beach 59:17–26

    Google Scholar 

  • Armenakis C, Leduc F, Cyr I, Savopol F, Cavayas F (2003) A comparative analysis of scanned maps and imagery for mapping applications. ISPRS J Photogramm Remote Sens 57:304–314

    Article  Google Scholar 

  • Boak E, Turner I (2005) Shoreline definition and detection: a review. J Coast Res 21:688–703

    Article  Google Scholar 

  • Braud DH, Feng W (1998) Semi-automated construction of the Luisiana coastline digital land/water boundary using landsat thematic mapper satellite imagery. Technical report 97-002, Department of Geography and Anthropology, Luisina State University. Luisiana Applied Oil Spill Research and Development Program, OSRAPD, 1998

  • Byrnes MR, McBride RA, Penland S, Hiland MW, Westphal KA (1991) Historical changes in shoreline position along the Mississippi Sound barrier islands. Coastal depositional systems in the Gulf of Mexico: quaternary framework and environmental issues. Gulf Coast SSEPM Foundation, pp 43–55

  • Chalabi A, Mohd-Lokman H, Mohd-Suffian I, Karamali K, Karthigeyan V, Masita M (2006) Monitoring shoreline change using Ikonos image and aerial photographs: a case study of Kuala Terengganu area, Malaysia. In: Proceedings of the ISPRS Mid-term symposium proceeding. Enschede, Netherlands

  • Charlier RH, Chaineux MCP, Morcos S (2005) Panorama of the history of coastal protection. J Coast Res 21(1):79–111

    Article  Google Scholar 

  • Douglas BC, Crowell M (2000) Long-term shoreline position prediction and error propagation. J Coast Res 16:145–152

    Google Scholar 

  • Fletcher CH, Rooney JJB, Barbee M, Lim SC, Richmond BM (2003) Mapping shoreline change using digital ortho photogrammetry on Maui, Hawaii. J Coast Res Spec Issue 38:106–124

    Google Scholar 

  • Frazier PS, Page KJ (2000) Water body detection and delineation with Landsat TM data. Photogramm Eng Remote Sens 66(12):147–167

    Google Scholar 

  • Genz AS, Fletcher CH, Dunn RA, Frazer LN, Rooney JJ (2007) The predictive accuracy of shoreline change rate methods and alongshore beach variation on Maui, Hawaii. J Coast Res 23:87–105

    Article  Google Scholar 

  • Ghanavati E, Firouzabadi PZ, Jangi AA, Khosravi S (2008) Monitoring geomorphologic changes using Landsat TM and ETM + data in the Hendijan River delta, Southwest Iran. Int J Remote Sens 29:945–959

    Article  Google Scholar 

  • Griggs GB (2005a) California’s retreating coastline: where do we go from here? In: Santa Barbara CA, Magoon OT, Converse H, Baird B, Miller-Henson M. (ed) California and the World Ocean, conference proceedings, October 2002. American Society of Civil Engineers, Reston, VA, pp 121–125

  • Griggs GB (2005b) The impacts of coastal armoring. Shore Beach 73(1):13–22

    Google Scholar 

  • Hall MJ, Pilkey OH (1991) Effects of hard stabilization on dry beach widths for New Jersey. J Coast Res 7(3):771–785

    Google Scholar 

  • Hapke CJ, Reid D (2007) National assessment of shoreline change, part 4: historical coastal cliff retreat along the California coast. US geological survey, Reston, VA, USA, Open-file report 2007-1133

  • Howarth PJ, Wickware GM (1981) Procedures for change detection using Landsat digital data. Int J Remote Sens 2:277–291

    Article  Google Scholar 

  • Hwang DJ (1981) Beach changes on Oahu as revealed by aerial photographs. Hawaii Office of State Planning, Coastal Zone Management Program, Honolulu

  • Kankara RS, Selvan CS, Rajan B, Arockiaraj S (2014) An adaptive approach to monitor the Shoreline changes in ICZM framework: a case study of Chennai coast. Indian J Mar Sci 43(7):1271–1279

    Google Scholar 

  • Kankara RS, Selvan CS, Markose VJ, Rajan B, Arockiaraj S (2015) Estimation of long and short term shoreline changes along Andhra Pradesh coast using remote sensing and GIS techniques. Proced Eng 116:855–862

    Article  Google Scholar 

  • Kuleli T, Guneroglu A, Karsli F, Dihkan M (2011) Automatic detection of shoreline change on coastal Ramsar Wetlands of Turkey. Ocean Eng 38:1141–1149

    Article  Google Scholar 

  • Liu H, Jezek KC (2004) Automated extraction of coastline from satellite imagery by integrating canny edge detection and locally adaptive thresholding Methods. Int J Remote Sens 25(5):937–958

    Article  Google Scholar 

  • Loos EA, Niemann KO (2002) Shoreline feature extraction from remotely sensed imagery. Geoscience and remote sensing symposium, 2002.IGARSS’02. IEEE Int 6:3417–3419

    Google Scholar 

  • Maiti S, Bhattacharya AK (2009) Shoreline change analysis and its application to prediction: a remote sensing and statistics based approach. Mar Geol 257(1–4):11–23

    Article  Google Scholar 

  • Mas JF (1999) Monitoring land-cover changes: a comparison of change detection techniques. Int J Remote Sens 20:139–152

    Article  Google Scholar 

  • Miles JR, Russell PE, Huntley DA (2001) Field measurements of sediment dynamics in front of a seawall. J Coastal Res 17(1):195–206

    Google Scholar 

  • Moore LJ, Griggs GB (2002) Long-term cliff retreat and erosion hotspots along the central shores of the Monterey Bay National Marine Sanctuary. Mar Geol 181(1–3):265–284

    Article  Google Scholar 

  • Moore LJ, Ruggiero P, List JH (2006) Comparing mean high water and high water shorelines: should proxy-datum offsets be incorporated into shoreline change analysis? J Coast Res 22(4):894–905

    Article  Google Scholar 

  • Morton RA, Miller TL (2005) National Assessment of shoreline Change: part 2: historical shoreline change and associated land loss along the US South East Atlantic Coast: US Geological survey open-file report 2005-1401

  • Morton RA, Miller TL, Moore LJ (2004) National assessment of shoreline change: part 1, historical shoreline changes and associated coastal land loss along the US Gulf of Mexico, US Geological Survey open file report 2004-1043

  • Natesan U, Thulasiraman N, Deepthi K, Kathiravan K (2013) Shoreline change analysis of Vedaranyam coast, Tamil Nadu, India. Environ Monit Assess 185(6):5099–5109

    Article  Google Scholar 

  • Nayak SR (2002) Use of satellite data in coastal mapping. Indian Cartogr 5:147–157

    Google Scholar 

  • Ozturk D, Beyazit I, Kilic F (2015) Spatiotemporal analysis of shoreline changes of the Kizilirmak Delta. J Coast Res. doi:10.2112/JCOASTRES-D-14-00159.1

    Google Scholar 

  • Ramesh R, Purvaja R, Senthil Vel A (2011) National assessment of shoreline change: Puducherry coast, NCSCM/MoEF report 2011-01, Chennai, India, p 57

  • Ryu JH, Won JS, Min KD (2002) Waterline extraction from Landsat TM data in a tidal flat: a case study in Gosmo Bay. Korea Remote Sens Environ 83:442–456

    Article  Google Scholar 

  • Selvan CS, Kankara RS, Rajan B (2014) Assessment of shoreline changes along Karnataka coast, India using GIS & Remote sensing techniques. Ind J Mar Sci 43(7):1293–1298

    Google Scholar 

  • Shalowitz AL (1964). Shore and sea boundaries, U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service

  • Shresta HL (2005) Comparative evaluation of different spatial resolution data for timer volume estimation. ISPRS workshop proceeding, May 2005, Hannover

  • Stockdon HF, Sallenger AH, List JH, Holman RA (2002) Estimation of shoreline position and change using airborne topographic Lidar data. J Coast Res 18(3):502–513

    Google Scholar 

  • Thieler ER, Danforth WW (1994) Historical shoreline mapping (1). Improving techniques and reducing positioning errors. J Coast Res 10:549–563

    Google Scholar 

  • Thieler ER, Himmelstoss EA, Zichichi JL, Ayhan E (2009) Digital shoreline analysis system (DSAS) version 4.0. An ArcGIS extension for calculating shoreline change. U.S. Geological Survey open-file report 2008-1278.79. http://pubs.usgs.gov/of/2008/1278/

  • Wal D, Pye K, Neal A (2002) Long-term morphological change in the Ribble Estuary, northwest England. Mar Geol 189(3–4):249–266

    Google Scholar 

  • Wu W (2007) Coastline evolution monitoring and estimation-a case study in the region of Nouakchott, Mauritania. Int J Remote Sens 28(24):5461–5484

    Article  Google Scholar 

  • Xiodong Z, Ya GJ, Darren L (2006) A strategy of change detection based on remotely sensed imagery and GIS data. ISPRS mid-term symposium proceeding, May 2006, Enschede

  • Yamano H, Shimazaki H, Matsunaga T, Ishoda A, McClennen C, Yokoki H, Fujita K, Osawa Y, Kayanne H (2006) Evaluation of various satellite sensors for waterline extraction in a coral reef environment: Majuro Atoll, Marshall Islands. Geomorphology 82(3–4):398–411

    Article  Google Scholar 

  • Zimmerman G, Bijker W (2004) Monitoring the Amazon with different spatial and temporal resolution. The XXISPRS congress proceedings, July 2004, Istanbul

  • Zuzek PJ, Nairn RB, Thieme SJ (2002) Spatial and temporal considerations for calculating shoreline change rates in the Great Lakes basin. J Coast Res 38:125–146

    Google Scholar 

Download references

Acknowledgments

Authors wish to thank the Secretary, Ministry of Earth Sciences, Government of India and Project Director, ICMAM, for their keen interest and encouragement for this work. The authors are thankful to both anonymous reviewers for giving valuable suggestions which improve the quality of the manuscript.

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Correspondence to R. S. Kankara.

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Chenthamil Selvan, S., Kankara, R.S., Markose, V.J. et al. Shoreline change and impacts of coastal protection structures on Puducherry, SE coast of India. Nat Hazards 83, 293–308 (2016). https://doi.org/10.1007/s11069-016-2332-y

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