Abstract
At the present time, coastal changes are having a major impact in many regions of the world. Relative sea-level rise would significantly contribute to physical changes in coastal cities. Predicting the magnitude of coastal changes such as erosion and land loss is essential for a better understanding of the impacts on environment and coastal communities, as well as for management, planning and protection in coastal areas. An increase in the rate of sea-level rise and range of potential impacts, including flood and coastal erosion, will likely affect the wide East Coast of Peninsular Malaysia and would cause serious disturbance for sandy beaches, particularly in Kuala Terengganu. This study attempts to predict the future erosion in the coastal area of Kuala Terengganu, Malaysia. The shoreline erosion as a result of sea-level rise was predicted using the Bruun Rule. This is the best known model that provides a rate of shoreline erosion under sea-level rise for sandy beaches. The result of Bruun Model is analysed and presented in a Geographic Information System (GIS). Results indicate an upward trend in the future for erosion in this coastal area. The highest erosion rate is 3.20 m/year and the most sensitive zones are expected to be around Universiti Malaysia Terengganu (UMT) and left bank of Kuala Terengganu from 2015 to 2020. It also can provide the basic information that decision makers need when they are planning any new activity within the coastal area.
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References
Anders FJ, Hansen M (1990) Beach and borrow site sediment investigation for a beach nourishment at Ocean City, Maryland (No. CERC/TR-90-5). Coastal Engineering Research Center Vicksburg Ms
Awang NA, Abd Hamid MR (2013) Sea level rise in Malaysia, international association for hydro-environment engineering and research (IAHR). Hydro Link 2:47–49
Bagheri M, Azmin WN (2010) Application of GIS and AHP technique for land-use suitability analysis on coastal area in terengganu. In: World automation congress (WAC), IEEE, 2010, pp 1–6
Bagheri M, Sulaiman WNA, Vaghefi N (2012) Land use suitability analysis using multi criteria decision analysis method for coastal management and planning: a case study of Malaysia. J Environ Sci Technol 5(5):364
Bagheri M, Sulaiman WNA, Vaghefi N (2013) Application of geographic information system technique and analytical hierarchy process model for land-use suitability analysis on coastal area. J Coastal Conservation 17(1):1–10
Bhuiyan MAH, Siwar C (2011) Tourism for economic development in east coast economic region (ECER). Institute for Enviroment and Development, University Kebangsaan Malaysia, Selangor
Boak EH, Turner IL (2005) Shoreline definition and detection: a review. J Coastal Res 21(4):688–703
Bracs MA, Turner IL, Splinter KD, Short AD, Lane C, Davidson MA, Cameron D (2015) Evaluation of opportunistic shoreline monitoring capability utilizing existing “surfcam” infrastructure. J Coastal Res 32(3):542–554
Byrnes MR, Hiland MW (1994) Shoreline position and nearshore bathymetric change. Kings bay coastal and estuarine monitoring and evaluation program. Technical Report, CERC-94-9. Vicksburg, Mississippi: Army Corps of Engineers, pp 61–143
Calvão T, Pessoa MF, Lidon FC (2013) Impact of human activities on coastal vegetation-a review. Emirates J Food Agric 25(12):926
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: ISPRS commission VII mid-term symposium “remote sensing: from pixels to processes”, May, Enschede, the Netherlands, pp 8–11
Cooper JAG, McLaughlin S (1998) Contemporary multidisciplinary approaches to coastal classification and environmental risk analysis. J Coastal Res 14(2):512–524
Cooper JAG, Pilkey OH (2004) Sea-level rise and shoreline retreat: time to abandon the Bruun Rule. Global Planet Change 43(3):157–171
Cowell PJ, Zeng TQ (2003) Integrating uncertainty theories with GIS for modeling coastal hazards of climate change. Mar Geodesy 26(1–2):5–18
Crowell M, Leatherman SP, Buckley MK (1991) Historical shoreline change: error analysis and mapping accuracy. J Coastal Res 7(3):839–852
Maryam DS, Weliyadi A, Aung T (2011) Method to estimate the land loss from sea level rise due to gradual warming in Kota Kinabalu, Sabah. J Borneo Sci 28:18–28
Dean RG (1990) Beach response to sea-level change. In: Le Mehaute B, Hanes DM (eds) Ocean engineering science, the sea, vol 9. Wiley, New York, pp 869–887
Delgado I, Lloyd G (2004) A simple low-cost method for one-person beach profiling. J Coastal Res 20(4):1246–1252
EPU (1985) National coastal erosion study, final report, Department of Irrigation and drainage (DID), Tingkat 3, Bangunan J. P. T, Jalan Mahameru, Kuala Lumpur, Malaysia, Volume 1, 8 August
Farajzadeh J, Fard AF, Lotfi S (2014) Modeling of monthly rainfall and runoff of Urmia lake basin using “feed-forward neural network” and “time series analysis” model. Water Resour Ind 7:38–48
Gale S, Hoare PG (2012) Quaternary sediments: petrographic methods for the study of unlithified rocks. Blackburn Press, Caldwell
Hallermeier RJ (1981) A profile zonation for seasonal sand beaches from wave climate. Coast Eng 4:253–277
Harley MD, Turner IL, Short AD, Ranasinghe R (2011) Assessment and integration of conventional, RTK–GPS and image-derived beach survey methods for daily to decadal coastal monitoring. Coast Eng 58(2):194–205
Hashim H, Suhatril M, Hashim R (2017) Assessment of liquefaction hazard along shoreline areas of Peninsular Malaysia. Geomat Nat Hazards Risk 8(2):1853–1868
Hennecke WG (2004) GIS modelling of sea-level rise induced shoreline changes inside coastal Re-Rntrants–Two examples from southeastern Australia. Nat Hazards 31(1):253–276
Hennecke WG, Greve CA, Cowell PJ, Thom BG (2004) GIS-based coastal behavior modeling and simulation of potential land and property loss: implications of sea-level rise at Collaroy/Narrabeen Beach, Sydney (Australia). Coastal Manage 32(4):449–470
Hill RD (1966) Changes in beach form at sri-pantal Northeast Johore, Malaysia. J Trop Geogr 23:19–27
Husain ML, Yaakob R (1988) The beach: our resource and friend. Nat Malays 13(2):12–15
Husain ML, Yaakob R, Saad S (1995a) Beach erosion variabiltiy during a northeast monsoon: the kuala setiu coastline, Terengganu, Malaysia. Pertan J Sci Technol 3(2):337–348
Husain ML, Ismail K, Yaakob R (1995b) Short-term impact of beach fest on the topography, vegetation coverage and sediment distribution of the mengabang telipot beach, Terengganu. Pertan J Sci Technol 3(2):325–336
Kasawani I, Kim Asbiyallah Shah A, Sulong I, Mohd Hasmadi I, Kamaruzaman J (2010) Coastal change detection using GIS in Setiu Lagoon, Terengganu, Malaysia. J GIS Trends 1(1):20–26
Kask A, Soomere T, Healy T, Delpeche N (2009) Rapid Estimate of Sediment Loss for” Almost Equilibrium” Beaches. J Coastal Res 971–975
Khamis A, Abdullah SNSB (2014) Forecasting wheat price using backpropagation and NARX neural network. Int J Eng Sci 3(11):19–26
Komar PD (1998) Beach processes and sedimentation, 2nd edn. Prentice Hall Press, New Jersey, Upper Saddle River, NJ
Kraus K, Pfeifer N (1998) Determination of terrain models in wooded areas with airborne laser scanner data. ISPRS J Photogram Remote Sens 53(4):193–203
Krause G (2004) The “Emery-Method” revisited-performance of an inexpensive method of measuring beach profiles and modifications. J Coastal Res 20(1)340–346
Kumar A, Jayappa KS (2009) Long and short-term shoreline changes along Mangalore coast, India. Int J Environ Res 3:177–188
Leatherman SP (2003) Shoreline change mapping and management along the US East Coast. J Coastal Res 38:5–13
List JH, Sallenger AH, Hansen ME, Jaffe BE (1997) Accelerated relative sea-level rise and rapid coastal erosion: testing a causal relationship for the Louisiana barrier Islands. Mar Geol 140(3):347–365
Lokman HM, Rosnan Y, Shahbudin S (1995) Beach erosion variability during a Northeast Monsoon: the Kuala Setiu Coastline, Terengganu, Malaysia. Pertan J Sci Technol 3(2):337–348
Maged M, Z Ibrahim Z (1996) The Southern oscillation and its effect on wave height and direction in the South China Sea. In: Proceedings of the National conference on climate change, 12–13 August 1996, Universiti Pertanian Malaysia, Serdang
Makarynskyy O, Makarynska D, Rayson M, Langtry S (2015) Combining deterministic modelling with artificial neural networks for suspended sediment estimates. Appl Soft Comput 35:247–256
Mastura S (1987) Coastal geomorphology of Desaru and its implication for coastal zone management, Penerbit Universiti Kebangsaan Malaysia (13)
Mather AA, Stretch DD (2012) A perspective on sea level rise and coastal storm surge from Southern and Eastern Africa: a case study near Durban, South Africa. Water 4(1):237–259
Midun Z, Lee SC (1995) Implications of a greenhouse-induced sea-level rise: a national assessment for Malaysia. J Coastal Res 14:96–115
Møller J, Pettitt AN, Reeves R, Berthelsen KK (2006) An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants. Biometrika 93(2):451–458
Moore LJ (2000) Shoreline mapping techniques. J Coastal Res 16(1):111–124
Moradi A 2011 Digital shoreline dynamics analysis for coastal erosion setback lines case of study: qeshm island in the persian gulf, Ph.D thesis, Universiti Putra Malaysia (UPM), June
Muslim M (2004) Shoreline mapping using satellite sensor imagery (Doctoral dissertation, University of Southampton), p 212
Nicholls RJ, Wong PP, Burkett V, Codignotto J, Hay J, McLean R, Brown B (2007) Coastal systems and low-lying areas
Pilkey OH, Davis TW (1987) An analysis of coastal recession models: North Carolina coast. In: Nummedal D, Pilkey OH, Howard J (eds) Sea-level fluctuations and coastal evolution, vol 41. SEP.M. Special Publication, Tuscon, pp 59–68
Prasetya G (2006) The role of coastal forests and trees in protecting against coastal erosion. In: Proceedings of the regional technical workshop on coastal protection in the aftermath of the Indian Ocean tsunami: what role for forest and trees
Raj JK (2002) Land use changes, soil erosion and decreased base flow of rivers at Cameron Highlands, Peninsular Malaysia. Geological Society of Malaysia Annual Geological Conference. May 26–27, Kota Bharu, Kelantan, Malaysia
Ranasinghe R, Stive MJ (2009) Rising seas and retreating coastlines. Clim Change 97(3):465–468
Ranasinghe R, Watson P, Lord D, Hanslow D, Cowell P (2007) Sea level rise, Coastal recession, and the Bruun Rule. In: Proceedings of coasts and ports ‘07, Melbourne, VIC, Australia. On CD rom produced by engineers Australia
Rosati JD, Dean RG, Walton TL (2013) The modified Bruun Rule extended for landward transport. Mar Geol 340:71–81
Rosen PS (1978) A regional test of the Bruun rule on shoreline erosion. Mar Geol 26(1):M7–M16
RosnanY, Hussein ML, Tajuddin A (1995) Variation of Beach Sand in relation to Littoral Drift Direction along the Kuala Terengganu Coast. Geol soc Malaysia, Bulletin 58, December, pp 71–78
Snoussi M, Ouchani T, Khouakhi A, Niang-Diop I (2009) Impacts of sea-level rise on the Moroccan coastal zone: Quantifying coastal erosion and flooding in the Tangier Bay. Geomorphology 107(1–2):32–40
Schwartz ML (1967) The Bruun theory of sea-level rise as a cause of shore erosion. J Geol 75(1):76–92
Scott DB (2005) Coastal changes, rapid. In: Schwartz ML (ed) Encyclopedia of coastal sciences. Springer, Berlin, pp 253–255
Shaffril HAM, Abu Samah B, D’Silva JL, Uli J (2011) Global warming at the east coast zone of Peninsular Malaysia. Am J Agric Biol Sci 6(3):377–383
Shand T, Shand R, Reinen-Hamill R, Carley J, Cox R (2013) A review of shoreline response models to changes in sea level. In: Coasts and ports 2013: 21st Australasian coastal and ocean engineering conference and the 14th Australasian port and harbour conference (p 676). Engineers Australia
Sherman DJ, Bauer BO (1993) Coastal geomorphology through the looking glass. Geomorphology 7:225–249
Skulovich O, Ganal C, Nüßer LK, Cofalla C, Schuettrumpf H, Hollert H, Ostfeld A (2018) Prediction of erosional rates for cohesive sediments in annular flume experiments using artificial neural networks. Open J 1(2):99–111
Tezel G, Buyukyildiz M (2016) Monthly evaporation forecasting using artificial neural networks and support vector machines. Theoret Appl Climatol 124(1–2):69–80
Thieler ER, Himmelstoss EA, Zichichi JL, Miller TL (2005) Digital Shoreline Analysis System (DSAS) version 3.0; an ArcGIS extention for calculating shoreline change. open-file report 2005–1304. U.S. geological survey, reston, VA. http://pubs.usgs.gov/of/2005/1304/
Thieler ER, Himmelstoss EA, Zichichi JL, Ergul A (2009) The Digital Shoreline Analysis System (DSAS) version 4.0-an ArcGIS extension for calculating shoreline change (No. 2008-1278). US Geological Survey
Urbanski J, Wochna A, Herman A (2011) Automated granulometric analysis and grain-shape estimation of beach sediments using object-based image analysis. J Coastal Res 64:1745
US Army (1989) Estimating potential long shore sand rates using WIS data transport, coastal engineering technical note, U. S. Army engineer waterways experiment station, Coastal Engineering Research Center, F. O. Box 631, Vkluburg, Midsdppl 39180
Van De Lageweg WI, Slangen A (2017) Predicting dynamic coastal delta change in response to sea-level rise. J Mar Sci Eng 5(2):24
Weeman K, Lynch P (2018) New study finds sea level rise accelerating. Earth, Nasa Goddard space flight center, Greenbelt, USA, , https://www.nasa.gov/feature/goddard/2018/new-study-finds-sea-level-rise-accelerating. Accessed 30 June 2018
Wong PP (1979) Contemporary beach changes: East coast Peninsular Malaysia. In: Workshop on Coastal Geomorphology. University of Singapore
Wong PP (1981) Beach changeson a monsoon coast Peninsular Malaysia. Geol Soc Malaysia Bull 14:59–74
Zhang K, (1998) twentieth century storm activity and sea level rise along the a U.S. East coast and their impact on shoreline position. Ph.D. Dissertation, department of geography. University of Maryland, college park, 266 leaves
Zuzek PJ, Nairn RB, Thieme SJ (2003) Spatial and temporal considerations for calculating shoreline change rates in the Great Lakes Basin. J Coastal Res, Special Issue No. 38: pp 125–146
Acknowledgements
Funding for this project has been provided by the Universiti Putra Malaysia (UPM) RUGS 4 with Project Number (03-04-11-1477RU) and RUGS 6 with Project Number (03-01-12-1664RU). Many thanks to all of the government agencies in Peninsular Malaysia who helped and made this project possible. Furthermore, data collection assistance provided by directors and staff in JUPEM, NAHRIN, MMD, and DID is greatly appreciated.
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Bagheri, M., Zaiton Ibrahim, Z., Bin Mansor, S. et al. Shoreline change analysis and erosion prediction using historical data of Kuala Terengganu, Malaysia. Environ Earth Sci 78, 477 (2019). https://doi.org/10.1007/s12665-019-8459-x
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DOI: https://doi.org/10.1007/s12665-019-8459-x