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Statistical analysis of shoreline change reveals erosion and baseline are increasing off the northern Tamil Nadu Coasts of India

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Abstract

Many tourists have been recently attracted towards the coasts around the world, especially to the large urban centres and economically significant areas. In the last four decades, there is a significant increase in the key coastal developments and tourist’s attractions like major ports, minor ports, fishing harbours, desalination plants, shore protection structures, and many more along the southeast coasts of India, in particular, northern Tami Nadu coastal stretches. The shoreline change study of these regions were carried out using the geospatial technologies (satellite remote sensing and geographical information system) to examine potential modifications occurred during the last 32 years between March 1990 and May 2022. This study used Landsat satellite images of spatial resolution 30 m to track the shoreline changes which was extracted using the Digital Image Processing software and techniques. In addition, the United States Geological Survey (USGS) developed Digital Shoreline Analysis System (DSAS) v5.2 software, an add-on tool to ArcGIS used for the statistical analysis to compute the shoreline rate of change. The linear regression rate (LRR) and end point rate (EPR) statistics were used to identify the eroding, accreting, and stable shoreline between Kattupalli coast and Kalpakkam coast of the northern Tamil Nadu coasts. This shoreline study of 106 km was carried out by dividing it into six zones (zone 1 to zone 6), and the DSAS analysis conveys that the shoreline of zone 1 (Kattupalli) and zone 2 (Ennore) shows erosion compared to other four zones. In locations where the coast is vulnerable, national mitigation measures must be implemented.

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Data availability

The datasets generated and/or analysed during the current study are available from the corresponding author on reasonable request. The authors have no relevant financial or non-financial interests to disclose.

References

  • Anand, K. V., Sundar, V., Sannasiraj, S. A., Murali, K., Rangarao, V., & Subramanian, B. R. (2011). Littoral transport estimate from the field measurement along north Chennai coast of Tamil Nadu, India. Asian and Pacific Coasts, 2011, 1541–1548. https://doi.org/10.1142/9789814366489_0185

    Article  Google Scholar 

  • Ayyappan, K., & Thiruvenkatasamy, K. (2018). On the hydrodynamics of shoreline morphological changes and its impact on tidal stability in the presence of groins using field measurements at Muttukadu Estuary. International Journal of Civil Engineering and Technology, 9, 912–922.

    Google Scholar 

  • Bagli, S., & Soille, P. (2003). Morphological automatic extraction of Pan-European coastline from Landsat ETM+ images. Proceedings of the Fifth International Symposium on GIS and Computer Cartography for Coastal Zone Management, Genova, 26 September 2003, 58–69.

  • Berberoglu, S., & Akin, A. (2009). Assessing different remote sensing techniques to detect land use/cover changes in the eastern Mediterranean. International Journal of Applied Earth Observation and Geoinformation, 11(1), 46–53. https://doi.org/10.1016/j.jag.2008.06.002

    Article  Google Scholar 

  • Chand, P., & Acharya, P. (2010). Shoreline change and sea level rise along coast of Bhitarkanika wildlife sanctuary, Orissa: An analytical approach of remote sensing and statistical techniques. International Journal of Geomatics and Geosciences, 1(3), 436–455.

    Google Scholar 

  • Chen, C., Bu, J., Zhang, Y., Zhuang, Y., Chu, Y., Hu, J., & Guo, B. (2019). The application of the tasseled cap transformation and feature knowledge for the extraction of coastline information from remote sensing images. Advances in Space Research, 64, 1780–1791. https://doi.org/10.1016/j.asr.2019.07.032

    Article  Google Scholar 

  • Cherian, A., Chandrasekar, N., Gujar, A. R., & Rajamanickam, G. V. (2012). Coastal erosion assessment along the southern Tamil Nadu coast, India. International Journal of Earth Sciences & Engineering, 5(02), 352–357.

    Google Scholar 

  • Crowell, M., Douglas, B. C., & Leatherman, S. P. (1997). On forecasting future U.S. shoreline positions: a test of algorithms. Journal of Coastal Research, 13(4), 1245–1255.

  • Deepika, B., Avinash, K., & Jayappa, K. S. (2014). Shoreline change rate estimation and its forecast: Remote sensing, geographical information system and statistics-based approach. International Journal of Environmental Science and Technology, 11, 395–416. https://doi.org/10.1007/s13762-013-0196-1

    Article  Google Scholar 

  • Deepthi, K. (2012). Unraveling the shelf sediment dynamics using field data, remote sensing and numerical model for Kalpakkam, southeast coast of India. (Doctor of Philosophy, Dissertation, Anna University, Chennai).

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

    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 

  • Genz, A. S., Fletcher, C. H., Dunn, R. A., Frazer, L. N., & Rooney, J. J. (2007). The predictive accuracy of shoreline change rate methods and alongshore beach variation on Maui. Hawaii. Journal of Coastal Research, 23(1), 87–105.

    Article  Google Scholar 

  • Hegde, A. V. (2010). Coastal erosion and mitigation methods–Global state of art. Indian Journal of Geo-Marine Sciences, 39(4), 521–530.

    Google Scholar 

  • Himmelstoss, E. A., Henderson, R. E., Kratzmann, M. G., & Farris, A. S. (2021). Digital Shoreline Analysis System (DSAS) version 5.1 user guide: U.S. Geological Survey Open-File Report, 2021–1091. https://doi.org/10.3133/ofr20211091

  • Jayakumar, K., & Malarvannan, S. (2016). Assessment of shoreline changes over the northern Tamil Nadu coast, South India using WebGIS techniques. Journal of Coastal Conservation, 20(6), 477–487.

    Article  Google Scholar 

  • Kaliraj, S., Chandrasekar, N., & Magesh, N. S. (2015). Evaluation of coastal erosion and accretion processes along the southwest coast of Kanyakumari, Tamil Nadu using geospatial techniques. Arabian Journal of Geosciences, 8(1), 239–253. https://doi.org/10.1007/s12517-013-1216-7

    Article  Google Scholar 

  • Kankara, R. S., Mohan, R., & Venkatachalapathy, R. (2013). Hydrodynamic modelling of Chennai coast from a coastal zone management perspective. Journal of Coastal Research, 29(2), 347–357.

    Google Scholar 

  • Kannan, R., Anand, K. V., Sundar, V., Sannasiraj, S. A., & Rangarao, V. (2014). Shoreline changes along the Northern coast of Chennai port, from field measurements. ISH Journal of Hydraulic Engineering, 20(1), 24–31. https://doi.org/10.1080/09715010.2013.821789

    Article  Google Scholar 

  • Kumaravel, S., Ramkumar, T., Gurunanam, B., Suresh, M., & Dharanirajan, K. (2013). An application of remote sensing and GIS based shoreline change studies–A case study in the Cuddalore District, East Coast of Tamil Nadu, South India. International Journal of Innovative Technology and Exploring Engineering, 2(4), 211–215.

    Google Scholar 

  • Li, D., & Tang, P. (2013). A sensor specified method based on spectral transformation for masking cloud in Landsat data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(3), 1619–1627. https://doi.org/10.1109/JSTARS.2013.2259469

    Article  Google Scholar 

  • Li, R., Di, K., & Ma, R. (2001). A comparative study of shoreline mapping techniques. (The Fourth International Symposium on Computer Mapping and GIS for Coastal Zone Management). Halifax, Nova Scotia, Canada.

  • Liu, H., & Jezek, K. C. (2004). Automated extraction of coastline from satellite imagery by integrating Canny edge detection and locally adaptive thresholding methods. International Journal of Remote Sensing, 25(5), 937–958. https://doi.org/10.1080/0143116031000139890

    Article  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(1–4), 11–23. https://doi.org/10.1016/j.margeo.2008.10.006

    Article  Google Scholar 

  • Marfai, M. A., Almohammad, H., Dey, S., Susanto, B., & King, L. (2008). Coastal dynamic and shoreline mapping: Multi-sources spatial data analysis in Semarang Indonesia. Environmental Monitoring and Assessment, 142(1), 297–308. https://doi.org/10.1007/s10661-007-9929-2

    Article  Google Scholar 

  • Mariappan, V. E., & Devi, R. S. (2012). Chennai coast vulnerability assessment using optical satellite data and GIS techniques. International Journal of Remote Sensing & GIS, 1(3), 175–182.

    Google Scholar 

  • Mary, G. M. R., Sundar, V., & Sannasiraj, S. A. (2022). Analysis of shoreline change between inlets along the coast of Chennai, India. Marine Georesources & Geotechnology, 40(1), 26–35. https://doi.org/10.1080/1064119X.2020.1856241

    Article  Google Scholar 

  • Mills, J. P., Buckley, S. J., Mitchell, H. L., Clarke, P. J., & Edwards, S. J. (2005). A geomatics data integration technique for coastal change monitoring. Earth Surface Processes and Landforms, 30(6), 651–664. https://doi.org/10.1002/esp.1165

    Article  Google Scholar 

  • Mujabar, P. S., & Chandrasekar, N. (2013). Shoreline change analysis along the coast between Kanyakumari and Tuticorin of India using remote sensing and GIS. Arabian Journal of Geosciences, 6(3), 647–664. https://doi.org/10.1007/s12517-011-0394-4

    Article  Google Scholar 

  • Nassar, K., Mahmod, W. E., Masria, A., Fath, H., & Nadaoka, K. (2018). Numerical simulation of shoreline responses in the vicinity of the western artificial inlet of the Bardawil Lagoon, Sinai Peninsula, Egypt. Applied Ocean Research, 74, 87–101. https://doi.org/10.1016/j.apor.2018.02.015

    Article  Google Scholar 

  • Natesan, U., Parthasarathy, A., Vishnunath, R., Kumar, G. E. J., & Ferrer, V. A. (2015). Monitoring longterm shoreline changes along Tamil Nadu, India using geospatial techniques. Aquatic Procedia, 4, 325–332. https://doi.org/10.1016/j.aqpro.2015.02.044

    Article  Google Scholar 

  • Pandian, P. K., Ramesh, S., Murthy, M. V. R., Ramachandran, S., & Thayumanavan, S. (2004). Shoreline changes and near shore processes along Ennore coast, east coast of South India. Journal of Coastal Research, 20(3), 828–845.

    Article  Google Scholar 

  • Raj, N., Gurugnanam, B., Sudhakar, V., & Francis, P. G. (2019). Estuarine shoreline change analysis along The Ennore river mouth, south east coast of India, using digital shoreline analysis system. Geodesy & Geodynamics, 10, 205–212. https://doi.org/10.1016/j.geog.2019.04.002

    Article  Google Scholar 

  • Raj, N., Rejin Nishkalank, R. A., & Chrisben Sam, S. (2020). Coastal shoreline changes in Chennai: Environment impacts and control strategies of southeast coast Tamil Nadu. Hussain, C. (eds) Handbook of Environmental Materials Management, 1–14. Cham: Springer. https://doi.org/10.1007/978-3-319-58538-3_223-1

  • Rasuly, A., Naghdifar, R., & Rasoli, M. (2010). Monitoring of Caspian Sea coastline changes using object-oriented techniques. Procedia Environmental Sciences, 2, 416–426. https://doi.org/10.1016/j.proenv.2010.10.046

    Article  Google Scholar 

  • Roy, S., Mahapatra, M., & Chakraborty, A. (2018). Shoreline change detection along the coast of Odisha, India using digital shoreline analysis system. Spatial Information Research, 26, 563–571. https://doi.org/10.1007/s41324-018-0199-6

    Article  Google Scholar 

  • Saranathan, E., Chandrasekaran, R., Soosai Manickaraj, D., & Kannan, M. (2011). Shoreline changes in Tharangampadi Village, Nagapattinam District, Tamil Nadu, India-A case study. Journal of the Indian Society of Remote Sensing, 39, 107–115. https://doi.org/10.1007/s12524-010-0052-4

    Article  Google Scholar 

  • Saravanan, S., Chandrasekar, N., Mujabar, P. S., & Hentry, C. (2011). An overview of beach morphodynamic classification along the beaches between Ovari and Kanyakumari, Southern Tamil Nadu coast, India. Physical Oceanography, 21, 129–141. https://doi.org/10.1007/s11110-011-9110-x

    Article  Google Scholar 

  • Sherman, D. J., & Bauer, B. O. (1993). Coastal geomorphology through the looking glass. Geomorphology, 7(1–3), 225–249. https://doi.org/10.1016/0169-555X(93)90018-W

    Article  Google Scholar 

  • Sriganesh, J., Saravanan, P., & Ram Mohan, V. (2015). Remote sensing and GIS analysis on Cuddalore Coast of Tamil Nadu, India. Journal of Advanced Research in Geo Sciences & Remote Sensing, 2(3&4), 94–108.

    Google Scholar 

  • Thieler, E. R., Himmelstoss, E. A., Zichichi, J. L., & Ergul, A. (2017). Digital Shoreline Analysis System (DSAS) version 4.0—An ArcGIS extension for calculating shoreline change (ver. 4.4, July 2017): U.S. Geological Survey Open-File Report 2008–1278. https://doi.org/10.3133/ofr20081278

  • Van, T. T., & Binh, T. T. (2009). Application of remote sensing for shoreline change detection in Cuu Long estuary. Environmental Science, Mathematics.

  • Vinayaraj, P., Johnson, G., Udhaba Dora, G., Sajiv Philip, C., Sanil Kumar, V., & Gowthaman, R. (2011). Quantitative estimation of coastal changes along selected locations of Karnataka, India: A GIS and remote sensing approach. International Journal of Geosciences, 2(4), 385–393. https://doi.org/10.4236/ijg.2011.24041

    Article  Google Scholar 

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Authors and Affiliations

  1. Centre for Remote Sensing and Geo-informatics, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India

    German Amali Jacintha Thomas

  2. Centre for Ocean Research, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India

    German Amali Jacintha Thomas, Radhika Rajasree Santha Ravindranath & Suman Thodhal Yoganandham

  3. Faculty of Fisheries, Kerala University of Fisheries and Ocean Studies, Cochin, Kerala, India

    Radhika Rajasree Santha Ravindranath

  4. National Technology Centre for Ports, Waterways and Coasts, Indian Institute of Technology Madras, Chennai, Tamil Nadu, India

    Sriganesh Jeyagopal

  5. Department of Environmental Engineering, Changwon National University, Changwon, Gyeongsangnamdo, Republic of Korea

    Suman Thodhal Yoganandham

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  1. German Amali Jacintha Thomas
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  3. Sriganesh Jeyagopal
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Contributions

T. German Amali Jacintha conceptualized and designed the research. T. German Amali Jacintha and T.Y. Suman analysed the data. T. German Amali Jacintha, Radhika Rajasree, J. Sriganesh, and T.Y. Suman drafted the initial report, which was subsequently revised and edited by all authors.

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Correspondence to Suman Thodhal Yoganandham.

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Thomas, G., Santha Ravindranath, R., Jeyagopal, S. et al. Statistical analysis of shoreline change reveals erosion and baseline are increasing off the northern Tamil Nadu Coasts of India. Environ Monit Assess 195, 409 (2023). https://doi.org/10.1007/s10661-023-11015-0

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