Abstract
Tropical cyclone associated storm surges and their disastrous influences are becoming a major concern amongst the worldwide coastal community. The detailed risk modelling study seems an urgent need to support the storm surge mitigation actions. Using a Geographic Information System (GIS) based risk model, this study attempted to obtain both present and future storm surge wave heights in the Cox’s Bazar Sadar Upazilla in Bangladesh. Linear storm surge model setup was done for the different return periods includes 5, 10, 20, 50, and 100 years. Also, to assess climate change effects, a 0.34 m sea-level rise in 2050 was tested using the regional scale surge models. The simulated storm surge model provided a time series dataset for the risk model and obtained risk maps comprised of the relationship among risk zone and the return periods. With the present inundation depth trend, the acquired risk maps of 50 and 100 year return period showed that 10.13% and 36.4% of the study area belongs to very high-risk zone respectively. Conversely, for future inundation depth conditions 30.83% and 49.9% of the study area would be within a very high-risk zone in 50 and 100 year return period respectively. This is envisaged that a detailed historical inundation dataset could enrich the adopted approach considering both present and future storm surge risk modelling for the Decision Support System (DSS). Also, this approach might be adopted for other identical coastal environments to aid mitigation programs and strategies.
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References
BBS (Bangladesh Bureau of Statistics) (2011) Population and Housing Census 2011. Community Report: Chittagong. Ministry of Planning Statistics and Informatics Division, Dhaka, Bangladesh
Benson MA (1962) Evolution of methods for evaluating the occurrence of floods. Geol Surv Water-Supply Paper 1580-A. https://doi.org/10.3133/wsp1580A
Brammer H (2016) Floods, cyclones, drought and climate change in Bangladesh: a reality check. Int J Environ Stud 73(6):865–886. https://doi.org/10.1080/00207233.2016.1220713
Condon AJ, Sheng YP (2011) Evaluation of coastal inundation hazard for present and future climates. Nat Hazards 62:345–373. https://doi.org/10.1007/s11069-011-9996-0
Damen M, Van Westen CJ (1995) Modelling cyclone hazard in Bangladesh, pp 1–44. ILWIS Applications Guide. Available on: https://www.itc.nl/ilwis/pdf/appch03.pdf. Accessed June 2020
Darsan J, Asmath H, Jehu A (2013) Flood-risk mapping for storm surge and tsunami at Cocos bay (Manzanilla), Trinidad. J Coast Conserve 17:679–689. https://doi.org/10.1007/s11852-013-0276-x
Dasgupta S, Laplante B, Murray S, Wheeler D (2009) Climate change and the future impacts of storm-surge disasters in developing countries, Working Paper 182 September 2009. Cenrter for Global development (September 2009). Available on: https://www.cgdev.org/publication/climate-change-and-future-impacts-storm-surge-disasters-developing-countries-working
Dasgupta S, Huq M, Khan ZH, Ahmed MMZ, Mukherjee N, Khan MF, Pandey K (2014) Cyclones in a changing climate: the case of Bangladesh. Clim Dev 6:96–110. https://doi.org/10.1080/17565529.2013.868335
Dewan AM, Humayun Kabir M, Monirul Islam M, Kumamoto T, Nishigaki M (2007) Delineating flood risk areas in greater Dhaka of Bangladesh using geoinformatics. Georisk 1:190–201. https://doi.org/10.1080/17499510701772097
Emad M et al (2010) Global warming and hurricanes: the potential impact of hurricane intensification and sea level rise on coastal flooding intergovernmental panel on climate change. Climate Change,Springer 104:575–597. https://doi.org/10.1007/s10584-009-9790-0
Fang Y, Yin J, Wu B (2016) Flooding risk assessment of coastal tourist attractions affected by sea level rise and storm surge : a case study. Nat Hazards Springer Netherlands 84:611–624. https://doi.org/10.1007/s11069-016-2444-4
Gallant JC, Read AM, Dowling TI (2012) Removal of tree offsets from SRTM and other digital surface models. Int Arch Photagrammetry, Remote Sensings Patial Inform Sci. XXXIX(September):275–280
Gambolati G, Teatini P, Gonella M (2002) GIS simulations of the inundation risk in the coastal lowlands of the northern adriatic sea. Math Comput Model 7177(02):963–972
Hoque MM, Khan MSA (1996) Storm surge flooding in Chittagong city and associated risks. In: Destructive water: water-caused natural disasters, their abatement and control (Proceedings of the Conference held at Anaheim, California, June 1996). IAHS Publ. no. 239, 1997. Available on: http://hydrologie.org/redbooks/a239/iahs_239_0115.pdf. Accessed Nov 2020
Hoque MAA, Phinn S, Roelfsema C, Childs I (2017a) Modelling tropical cyclone risks for present and future climate change scenarios using geospatial techniques. Int J Digit Earth. https://doi.org/10.1080/17538947.2017.1320595
Hoque MAA, Phinn S, Roelfsema C, Childs I (2017b) Tropical cyclone disaster management using remote sensing and spatial analysis: a review. Int J Disaster Risk Reduct 22:345–354. https://doi.org/10.1016/j.ijdrr.2017.02.008
Karim FM, Mimura N (2008) Impacts of climate change and sea-level rise on cyclonic storm surge floods in Bangladesh. Global Environ Change 18:490–500. https://doi.org/10.1016/j.gloenvcha.2008.05.002
Khan SR (1991) Cyclone hazard in Bangladesh. Background Information on the Storm Surge Modelling. Available on: http://drm.cenn.org/Trainings; http://drm.cenn.org/Trainings/Multi%20Hazard%20Risk%20Assessment/Lectures_ENG/Session%2003%20Hazard%20assessment/Background/Coastal/Background_information_on_the_storm_surge_modelling%20in%20Bangladesh.pdf
Kumar A, Done J, Dudhia J, Niyogi D (2011) Simulations of cyclone Sidr in the bay of Bengal with a high-resolution model: sensitivity to large-scale boundary forcing. Meteorol Atmos Phys 114:123–137. https://doi.org/10.1007/s00703-011-0161-9
Lewis M, Bates P, Horsburgh K, Schumann G (2012) A storm surge inundation model of the northern bay of Bengal using publicly available data a bay of Bengal storm surge inundation model. Royal Meteorol Soc 358–369. https://doi.org/10.1002/qj.2040
Li D, Sun T, Liu M, Wang L, Gao Z (2016) Changes in wind speed under heat waves enhance urban heat islands in the Beijing metropolitan area. J Appl Meteorol Climatol 55:2369–2375. https://doi.org/10.1175/JAMC-D-16-0102.1
Li K, Li GS (2013) Risk assessment on storm surges in the coastal area of Guangdong Province. Nat Hazards 68(2):1129–1139. https://doi.org/10.1007/s11069-013-0682-2
Masood M, Takeuchi K (2011) Assessment of flood hazard, vulnerability and risk of mid-eastern Dhaka using DEM and 1D hydrodynamic model. Nat Hazards 61:757–770. https://doi.org/10.1007/s11069-011-0060-x
Mendelsohn R, Emanuel K, Chonabayashi S (2011) The impact of climate change on global tropical storm damages. Policy Research Working Paper Series 5562. The World Bank
Paul BK, Rashid H (2016) Climatic Hazards in Coastal Bangladesh-Non-Structural and Structural Solutions, p 342. https://doi.org/10.1016/C2015-0-00129-0
Peduzzi P, Chatenoux B, Dao H, de Bono A, Herold C, Kossin J, Mouton F, Nordbeck O (2012) Global trends in tropical cyclone risk. Nat Clim Change. Nat Publ Group 2(4):289–294. https://doi.org/10.1038/nclimate1410
Puotinen ML (2007) Modelling the risk of cyclone wave damage to coral reefs using GIS: a case study of the Great Barrier Reef, 1969–2003. Int J Geograph Inform Sci 21:97–120. https://doi.org/10.1080/13658810600852230
Saxena S et al (2012) Coastal hazard mapping in the Cuddalore region, South India. Nat Hazards 66:1519–1536. https://doi.org/10.1007/s11069-012-0362-7
Shepard CC, Agostini VN, Gilmer B, Allen T, Stone J, Brooks W, Beck MW (2012) Assessing future risk: quantifying the effects of sea level rise on storm surge risk for the southern shores of Long Island, New York. Nat Hazards 60:727–745. https://doi.org/10.1007/s11069-011-0046-8
Shultz JM, Russell J, Espinel Z (2005) Epidemiology of Tropical Cyclones : The Dynamics of Disaster , Disease , and Development. Johns Hopkins Bloomberg School of Public Health 27:21–35. https://doi.org/10.1093/epirev/mxi011
Shutler JD, Land PE, Piolle JF, Woolf DK, Goddijn-Murphy L, Paul F, Girard-Ardhuin F, Chapron B, Donlon CJ (2016) FluxEngine: a flexible processing system for calculating atmosphere-ocean carbon dioxide gas fluxes and climatologies. J Atmos Ocean Technol 33:741–756. https://doi.org/10.1175/JTECH-D-14-00204.1
Stedinger JR, Vogel RM, Georgiou EF (1993) Frequency analysis of extreme events. In: Maidmen DR (ed) In handbook of hydrology, vol 08. McGraw-Hill, New York, pp 18.1–18.66. https://doi.org/10.4236/me.2017.81006
Swinkels CM, Jeuken CMCJL, Wang ZB, Nicholls RJ (2009) Presence of connecting channels in the Western Scheldt estuary. J Coast Res 25:627–640. https://doi.org/10.2112/06-0719.1
Thompson CM, Frazier TG (2014) Deterministic and probabilistic flood modeling for contemporary and future coastal and inland precipitation inundation. Appl Geography 50:1–14. https://doi.org/10.1016/j.apgeog.2014.01.013
Ward P, Marfai M, Yulianto F, Hizbaron D, Aerts J (2011) Coastal inundation and damage exposure estimation: a case study for Jakarta. Nat Hazards 56(3):899–916
Weinkle J, Malue R, Pielke R Jr (2012) Historical global tropical cyclone landfalls. Am Meteorol Soc 25:4729–4735. https://doi.org/10.1175/JCLI-D-11-00719.1
Acknowledgments
The research was supported by the funds provided for Modeling Flood Inundation in a Coastal urban area (MFIC) research project (CUET/DRE/2017-18/CE/025), Chittagong University of Engineering and Technology (CUET), Bangladesh. We express our gratitude to the Cox's Bazar community, BWDB, CPA, BMD for providing bathymetric, meteorological, and validation data during the study.
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Akter, A., Dayem, A. Tropical cyclone risk mapping for a coastal city using geospatial techniques. J Coast Conserv 25, 1 (2021). https://doi.org/10.1007/s11852-020-00788-y
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DOI: https://doi.org/10.1007/s11852-020-00788-y