Bank-Line Behaviour of the Main Rivers Located Within Sundarbans Using Digital Shoreline Analysis System

  • Md. Manjurul Anam Department of Civil Engineering, Military Institute of Science and Technology (MIST), Dhaka, Bangladesh
  • Abdullah-Al-Jabir Department of Civil Engineering, Military Institute of Science and Technology (MIST), Dhaka, Bangladesh
  • G. M. Jahid Hasan Department of Civil Engineering, Military Institute of Science and Technology (MIST), Dhaka, Bangladesh
Keywords: Landsat images, Manual digitization, DSAS, ArcGIS, Bank-line movement, Rivers of Sundarbans

Abstract

Sundarbans, the largest mangrove forest located over the GBM basin, has impacted lives of millions over the years. Standing against various natural disasters, rivers of Sundarbans have undergone major issues such as erosion-accretion of both the banks. The paper deals with a combination of remote sensing and Digital Shoreline Analysis System (DSAS), studying temporal behaviour of bank-lines along the main rivers of Sundarbans for the last three decades. The course of main rivers spanning from southwest Baleswar to west Bengal Bidyadhari within coverage of 10,000 sq. km. has been analyzed in this study. DSAS, the extension tool of ArcGIS, was used for monitoring the rate-of-change from multiple historic bank-line positions extracted from satellite images. Comparison of historic bank-lines between different rivers of Sundarbans was done based on Net Bank-line Movement (NBM) with an interval of five years. Finally, the results were presented graphically to get a better understanding of the bank-line behaviour. The study revealed that the western region of mangrove prevails eroding behaviour than the eastern region. Increased rates of riverward movement due to accretion was found from 2008-2013. These results are important for future monitoring and proper management within the coastal communities surrounding the mangrove forest.

Downloads

Download data is not yet available.

References

Appeaning Addo, K., Walkden, M., and Mills, J. P. (2008). ‘Detection, measurement and prediction of shoreline recession in Accra, Ghana’, International Society for Photogrammetry and Remote Sensing, 63(5), 543–558.

Benumof, B. T., Storlazzi, C. D., Seymour, R. J. and Griggs, G. B. (2000). ‘The relationship between incident wave energy and sea cliff erosion rates: SanDiego County, California’, Journal of Coastal Research, 17, 1162-1178.

Brammer, H. (2014). ‘Bangladesh’s dynamic coastal regions and sea-level rise’, Climate Risk Management, 1, 51-62.

Cohen, M.C.L. and Lara R.J. (2003). ‘Temporal changes of mangrove vegetation boundaries in Amazonia: application of GIS and remote sensing techniques’, Wetland Ecology Management, 11(4), 23-231.

Collins, B. D. and Sitar, N. (2008). ‘Processes of coastal bluff erosion in weakly lithified sands, Pacifica, California, USA’, Geomorphology, 97, 483-501, doi: 10.1016/j.geomorph.2007.09.004.

Ellison, J. C. and Zouh, I. (2012). ‘Vulnerability to climate change of mangroves: Assessment from Cameroon, Central Africa’, Biology, 1, 617–638.

Esteves, L. S., William, J. J. and Brown, J. M. (2011). ‘Looking for evidence of climate change impacts in the eastern Irish Sea’, Natural Hazards and Earth System Sciences, 11, 1641-1656, doi: 10.5194/nhess-11-1641-2011.

Frazier, P. S. and Page, K. J. (2000). ‘Water body detection and delineation with Landsat TM data’, Photogrammetric Engineering and Remote Sensing, 66(12), 1461-1467.

Gilman, E., Ellison, J. C., and Coleman, R. (2007). ‘Assessment of mangrove response to projected relative sea-level rise and recent historical reconstruction of shoreline position’, Environmental monitoring and assessment, 124(1-3), 105-130.

Hapke, C.J., Reid, D. and Richmond, B. (2009). ‘Rates and trends of coastal change in California and the regional behaviour of the beach and cliff system’, Journal of Coastal Research, 25(3), 603-615.

Hegde, A.V. and Akshaya B.J. (2015). ‘Shoreline transformation study of Karnataka Coast: Geospatial Approach’, Aquatic Procedia, 4, 151-156.

Ji, L., Geng, X., Sun, K., Zhao, Y. and Gong, P. (2015). ‘Target detection method for water mapping using Landsat 8 OLI/TIRS imagery’, Water, 7(2), 794-817.

Kanwal, S., Ding, X., Sajjad, M., and Abbas, S. (2019). ‘Three decades of coastal changes in Sindh, Pakistan (1989–2018): a geospatial assessment’, Remote Sensing, 12(1), 8, https://doi.org/10.3390/rs12010008.

Katz, O. and Mushkin, A. (2013). ‘Characteristics of sea-cliff erosion induced by a strong winter storm in the eastern Mediterranean’, Quaternary Research, 80, 20-32, doi: 10.1016/j.yqres.2013.04.004.

Khan, E. and Hussain, N. (2018). ‘Coastline dynamics and raising landform: a geo-informaticsbased study on the Bay of Bengal, Bangladesh’, The Indonesian Journal of Geography, 50(1), 41-48.

Kuehl, S. A., Allison, M. A., Goodbred, S. L., and Kudrass, H. (2005). ‘The Ganges–Brahmaputra Delta’. In book: River Deltas – Concepts, Models, and Examples, Edited by Giosan L. and Bhattacharya J., 413–434.

Kuleli, T. (2010). ‘Quantitative analysis of shoreline changes at the Mediterranean Coast in Turkey’, Environmental Monitoring and Assessment, 167(1-4), 387-397.

Masocha, M., Dube, T., Makore, M., Shekede, M.D. and Funani, J. (2018). ‘Surface water bodies mapping in Zimbabwe using landsat 8 OLI multispectral imagery: A comparison of multiple water indices’, Physics and Chemistry of the Earth, Parts A/B/C 106, 63-67.

Matin, N. and Hasan, G.M.J. (2021). ‘A quantitative analysis of shoreline changes along the coast of Bangladesh using remote sensing and GIS techniques’, Catena, 201. https://doi.org/10.1016/j.catena.2021.105185.

McIvor, A. L., Spencer, T., Möller, I., and Spalding, M. (2013). ‘The response of mangrove soil surface elevation to sea level rise’, Natural Coastal Protection Series: Report 3, Cambridge Coastal Research Unit Working Paper 42, ISSN 2050-7941.

Mikhailov, V. N. and Dotsenko, M. A. (2007). ‘Processes of delta formation in the mouth area of the Ganges and Brahmaputra rivers’, Water Resources, 34(4), pp. 385–400.

Moore, L. J. and Griggs, G. B. (2002). ‘Long-term cliff retreat and erosion hotspots along the central shores of the Monterey Bay National Marine Sanctuary’, Marine Geology, 181(1-3), 265–283, doi: 10.1016/S0025-3227(01)00271-7.

Moussaid, J., Fora A.A., Zourarah B., Maanan M. and Maanan M. (2015). ‘Using automatic computation toanalyze the rate of shoreline change on the Kenitra coast, Morocco’, Ocean Engineering, 102(1), 71-77.

Murty, T. S., and Henry, R. F. (1983). ‘Tides in the Bay of Bengal’, Journal of Geophysical Research: Oceans, 88(C10), 6069-6076, doi: 10.1029/JC088iC10p06069.

Nabi, M.R., Rashid, M. S. and Hossain, M.I. (2016). ‘Historical Bank-line Shifting Since 1760s: A GIS and Remote Sensing Based Case Study of Meghna River Plate of Rennell’s Atlas’, International Journal of Scientific and Research Publications, 6(12), 473-483.

Natesan, U., Thulasiraman, N., Deepthi, K. and Kathiravan, K. (2013). ‘Shoreline change analysis of Vedaranyam coast, Tamil Nadu, India’, Environmental Monitoring and Assessment, 185(6), 5099-5109.

Nguyen H. H., McAlpine C., Pullar D., Leisz S.J. and Galina G., (2015). ‘Drivers of coastal shoreline change: case study of Hon Dat coast, Kien Giang, Vietnam’, Environmental Management, 55(5), 1093-1108.

Rahman, A.F., Dragoni, D. and El-Masri, B., (2011). ‘Response of the Sundarbans coastline to sea level rise and decreased sediment flow: a remote sensing assessment’, Remote Sensing of Environment, 115(12), 3121-3128.

Sahana, M. and Sajjad, H., (2019). ‘Assessing influence of erosion and accretion on landscape diversity in Sundarban Biosphere Reserve, Lower Ganga Basin: a geospatial approach’. Quaternary Geomorphology in India, Springer, 191-203, https://doi.org/10.1007/978-3-319-90427-6_10.

Sarwar, M.G.M. and Woodroffe, C.D. (2013). ‘Rates of shoreline change along the coast of Bangladesh’, Journal of coastal conservation, 17(3), 515-526.

Sathirathai, S. and Barbier E.B., (2001). ‘Valuing mangrove conservation in southern Thailand’, Contemporary Economic Policy, 19(2), 109-122.

Sheik, M. and 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.

Sarkar, A., Garg, R.D., and Sharma, N., (2012). ‘RS-GIS based assessment of river dynamics of Brahmaputra river in India’, Journal of Water Resource and Protection, 4, 63-72.

Souza Filho, P. W. M., Martins, E. do S. F., and Costa, F. R. (2006). ‘Using mangroves as a geological indicator of coastal changes in the Bragança macrotidal flat, Brazilian Amazon: a remote sensing data approach’, Ocean and Coastal Management, 49(7-8), 462-475.

Thieler, E. R., Himmelstoss, E. A., Zichichi, J. L., and Ergul, A. (2009). ‘Digital Shoreline Analysis System (DSAS) version 4.0-An ArcGIS extension for calculating shoreline change’, US Geological Survey Report, 2008-1278.

To, D.V. and Thao, P.T.P., (2008). ‘A shoreline analysis using DSAS in Nam Dinh Coastal Area’, International Journal of Geoinformatics, 4(1), 37-42.

Vidal, J. (2013). ‘Tigers under threat from disappearing mangrove forest’, The Guardian, accessed on 10 Dec 2020.

Wenbo, L., Du, Z., Ling, F., Zhou, D., Wang, H., Gui, Y., Sun, B. and Zhang, X. (2013). ‘A comparison of land surface water mapping using the normalized difference water index from TM, ETM+ and ALI’, Remote Sensing, 5(11), 5530-5549.

Published
2021-06-27
How to Cite
Md. Manjurul Anam, Abdullah-Al-Jabir, & G. M. Jahid Hasan. (2021). Bank-Line Behaviour of the Main Rivers Located Within Sundarbans Using Digital Shoreline Analysis System. MIST INTERNATIONAL JOURNAL OF SCIENCE AND TECHNOLOGY, 9(1), 11-21. https://doi.org/10.47981/j.mijst.09(01)2021.288(11-21)
Section
ARTICLES