A Shoreline Change Detection (2012-2021) and forecasting Using Digital Shoreline Analysis System (DSAS) Tool: A Case Study of Dahej Coast, Gulf of Khambhat, Gujarat, India

https://doi.org/10.22146/ijg.56297

Mousumi Dey(1*), Shanmuga Priyaa S(2), B. K. Jena(3)

(1) M. Tech in Geoinformatics, Department of Geography, University of Madras, Chennai
(2) Project Scientist, Coastal & Environmental Engineering, National Institute of Ocean Technology, Chennai
(3) Scientist F, Coastal & Environmental Engineering, National Institution of Ocean Technology, Chennai
(*) Corresponding Author

Abstract


Shoreline is one of the coastal landforms which continuously changing in nature. Hence, monitoring of shoreline change is very obligate to understand and manage the coastal process. The objectives of the present study were i) to identify the shoreline change detection (2012 to 2021) based on various statistical methods along Dahej coast, Gujrat. ii) to forecast the shoreline position after 10 years. DSAS tool and Multi-dated satellite images (Sentinel-2 and LISS-IV) were used in present study. The result shows that, the pattern of rate of change was more or less similar with little variation in the values for the 3 different methods. Highest erosion rate was for End Point Rate, Linear Regression Rate and Weighted Linear Regression rate found -33m, -31m, -31m respectively at transect no 54. Highest accretion rate was 38m (EPR), 50m (LRR), 51m (WLR) along a particular transect. The forecast of shoreline position for the year 2032 observed through Kalman Filter Model. Seasonal analysis for 3 years (2016, 2017, 2018) shows the region not having any seasonal pattern.


Keywords


DSAS; Uncertainty; Multi-date data; Mudflats; EPR; LRR; Intertidal Zone; LISS IV; Sentinel;

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References

Appeaning Addo, K. (2015). Assessment of the Volta Delta Shoreline Change Coastal Zone Management Assessment of the Volta Delta Shoreline Change. J Coast Zone Manag, 18, 3. https://doi.org/10.4172/jczm.1000408

Bansal, P. (2020). International Conference on Innovative Advancement in Engineering and Technology (IAET-2020). 6.

Bhatti, H., Ramakrishnan, R., Sharma, A. K., & Rajawat, A. S. (2018). Incessant Erosion of High Tidal Mudflats in the Northern Gulf of Khambhat. Current Science, 114(12), 2554. https://doi.org/10.18520/cs/v114/i12/2554-2558

Burningham, H., & Fernandez-Nunez, M. (2020). Shoreline change analysis. In Sandy Beach Morphodynamics (pp. 439–460). Elsevier. https://doi.org/10.1016/B978-0-08-102927-5.00019-9

Himmelstoss, E. A., Henderson, R. E., Kratzmann, M. G., and Farris, A. S. (2018). Digital Shoreline Analysis System (DSAS) Version 5.0 User Guide. Downloded from https://pubs.usgs.gov/of/2018/1179/ofr20181179.pdf

Gupta, M. (2014). Monitoring shoreline changes in the Gulf of Khambhat, India during 1966-2004 using RESOURCESAT-1 LISS-III. Open Journal of Remote Sensing and Positioning, 1(1),27-37.

Jonah, F. E., Boateng, I., Osman, A., Shimba, M. J., Mensah, E. A., Adu-Boahen, K., … Effah, E. (2016). Shoreline change analysis using end point rate and net shoreline movement statistics: An application to Elmina, Cape Coast and Moree section of Ghana’s coast. Regional Studies in Marine Science, 7, 19–31. https://doi.org/10.1016/j.rsma.2016.05.003

Kankara, R. S., Selvan, S. C., Markose, V. J., Rajan, B., & Arockiaraj, S. (2015). Estimation of long and short term shoreline changes along Andhra Pradesh coast using remote sensing and GIS techniques. Procedia Engineering, 116(1), 855–862. https://doi.org/10.1016/j.proeng.2015.08.374

Kermani, S., Boutiba, M., Guendouz, M., Guettouche, M. S., & Khelfani, D. (2016). Detection and analysis of shoreline changes using geospatial tools and automatic computation: Case of jijelian sandy coast (East Algeria). Ocean and Coastal Management, 132, 46–58. https://doi.org/10.1016/j.ocecoaman.2016.08.010

Kuleli, T., Guneroglu, A., Karsli, F., & Dihkan, M. (2011). Automatic detection of shoreline change on coastal Ramsar wetlands of Turkey. Ocean Engineering, 38(10), 1141–1149. https://doi.org/10.1016/j.oceaneng.2011.05.006

Long, J. W., & Plant, N. G. (2012). Extended Kalman Filter framework for forecasting shoreline evolution: FORECASTING SHORELINE EVOLUTION. Geophysical Research Letters, 39(13), n/a-n/a. https://doi.org/10.1029/2012GL052180

Mahapatra, M., Ratheesh, R., & Rajawat, A.S. (2014). Shoreline change monitoring along the coast of south Gujrat, India using Digital Shoreline Analysis System. Journal of Indian Society and Remote Sensing, 42(4), 869-876.

Misra, A., & Balaji, R. (2015). A study on the shoreline changes and Land-use/land-cover along the south Gujarat coastline. Procedia Engineering, 116(1), 381–389. https://doi.org/10.1016/j.proeng.2015.08.311

Mohan, R. K., Short, A.D., Cambers, G., MacLeod, M., Cooper, J.A.G., Hopley, D., Scott, David, B., Craig-Smith, S. J. (2005) Coastal Changes, Rapid. Encyclopedia of Coastal Science, 253-255. doi: 10.1007/1-4020-3880-1_76

Moussaid, J., Fora, A. A., Zourarah, B., Maanan, M., & Maanan, M. (2015). Using automatic computation to analyze the rate of shoreline change on the Kenitra coast, Morocco. Ocean Engineering, 102, 71–77. https://doi.org/10.1016/j.oceaneng.2015.04.044

Muskananfola, M. R., Supriharyono, & Febrianto, S. (2020). Spatio-temporal analysis of shoreline change along the coast of Sayung Demak, Indonesia using Digital Shoreline Analysis System. Regional Studies in Marine Science, 34, 101060. https://doi.org/10.1016/j.rsma.2020.101060

Mutaqin, B. W. (2017). Shoreline changes analysis in Kuwaru coastal area, Yogyakarta, Indonesia: An application of the Digital Shoreline Analysis System (DSAS). International Journal of Sustainable Development and Planning, 12(07), 1203–1214. https://doi.org/10.2495/SDP-V12-N7-1203-1214

Nayak, R. K., & Shetye, S. R. (2003). Tides in the Gulf of Khambhat, west coast of India. Estuarine, Coastal and Shelf Science, 57(1–2), 249–254. https://doi.org/10.1016/S0272-7714(02)00349-9

Nair, L., Sheela, Prasad, R., Rafeeque, M. K., and Prakash T.N., (2018). Coastal morphology and long-term shoreline changes along the southwest coast of India. Journal of Geological Society of India, 92, 588-595. DOI: 10.1007/s12594-018-1072-x

Nayak, S. R., & Sahai, B. (1985). Coastal morphology: A case study of the gulf of Khambhat (Cambay). International Journal of Remote Sensing, 6(3–4), 559–567. https://doi.org/10.1080/01431168508948478

Nithu, R., Gurugnanam, B., Sudhakar, V., & Glitson Francis, P. (2019). Estuarine shoreline change analysis along The Ennore river mouth, south east coast of India, using digital shoreline analysis system. Geodesy and Geodynamics, 10(3), 205–212. https://doi.org/10.1016/j.geog.2019.04.002

Shaikh, M. G., Nayak, S., Shah, P. N., & Jambusaria, B. B. (1989). Coastal landform mapping around the Gulf of Khambhat using Landsat TM data. Journal of the Indian Society of Remote Sensing, 17(1), 41–48. https://doi.org/10.1007/BF02995964

Sheik, M., & Chandrasekar. (2011). A shoreline change analysis along the coast between Kanyakumari and Tuticorin, India, using digital shoreline analysis system. Geo-Spatial Information Science, 14(4), 282–293. https://doi.org/10.1007/s11806-011-0551-

Shin, B., & Kim, K. (2015). Estimation of shoreline change using high resolution images. In Procedia Engineering (Vol. 116, pp. 994–1001). Elsevier Ltd. https://doi.org/10.1016/j.proeng.2015.08.391

Thangaraj, K. (2019). Mapping of shoreline changes in between Devipattinam and Micro Level Mapping of Morphological Changes in the Beaches Caused by Tsunami in between Cuddalore and Nagapattinam, Tamilnadu, East Coast of India View project GEOMATICS IN FLOOD WATER HARVESTING AND MANAGEMENT PARTS OF TIRUCHIRAPPALLI DISTRICT TAMIL NADU View project. Retrieved from https://www.researchgate.net/publication/330712090

Vivek, G., Goswami, S., Samal, R. N., & Choudhury, S. B. (2019). Monitoring of Chilika Lake mouth dynamics and quantifying rate of shoreline change using 30 m multi-temporal Landsat data. Data in Brief, 22, 595–600. https://doi.org/10.1016/j.dib.2018.12.082

Yadav, A., Dodamani, B. . M., & Dwarakish, G. S. (2018). SHORELINE CHANGE THREAT TO COASTAL ZONE: A CASE STUDY OF KARWAR COAST (pp. 18–30). https://doi.org/10.17501/2513258X.2018.2202



DOI: https://doi.org/10.22146/ijg.56297

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