Abstract
The occurrence of heavy rainfall in the south-eastern hilly region of Bangladesh makes this area highly susceptible to recurrent flash flooding. As the region is the commercial capital of Bangladesh, these flash floods pose a significant threat to the national economy. Predicting this type of flooding is a complex task which requires a detailed understanding of the river basin characteristics. This study evaluated the susceptibility of the region to flash floods emanating from within the Karnaphuli and Sangu river basins. Twenty-two morphometric parameters were used. The occurrence and impact of flash floods within these basins are mainly associated with the volume of runoff, runoff velocity, and the surface infiltration capacity of the various watersheds. Analysis showed that major parts of the basin were susceptible to flash flooding events of a ‘moderate’-to-‘very high’ level of severity. The degree of susceptibility of ten of the watersheds was rated as ‘high’, and one was ‘very high’. The flash flood susceptibility map drawn from the analysis was used at the sub-district level to identify populated areas at risk. More than 80% of the total area of the 16 sub-districts were determined to have a ‘high’-to-‘very-high’-level flood susceptibility. The analysis noted that around 3.4 million people reside in flash flood-prone areas, therefore indicating the potential for loss of life and property. The study identified significant flash flood potential zones within a region of national importance, and exposure of the population to these events. Detailed analysis and display of flash flood susceptibility data at the sub-district level can enable the relevant organizations to improve watershed management practices and, as a consequence, alleviate future flood risk.
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References
Abdel-Fattah M, Saber M, Kantoush SA, Khalil MF, Sumi T, Sefelnasr AM (2017) A hydrological and geomorphometric approach to understanding the generation of wadi flash floods. Water (Switzerland). https://doi.org/10.3390/w9070553
Abdelkareem M (2017) Targeting flash flood potential areas using remotely sensed data and GIS techniques. Nat Hazards 85:19–37. https://doi.org/10.1007/s11069-016-2556-x
Abdullah AYM, Masrur A, Adnan MSG, Baky MAA, Hassan QK, Dewan A (2019) Spatio-temporal patterns of land use/land cover change in the heterogeneous coastal region of Bangladesh between 1990 and 2017. Remote Sens 11:790
ACAPS (2015) Flash floods in Cox’s Bazar, Bandarban and Chittagong Districts June–July 2015. Assessment Capacities Project, Geneva
Adnan SG, Kreibich H (2016) An evaluation of disaster risk reduction (DRR) approaches for coastal delta cities: a comparative analysis. Nat Hazards 83:1257–1278
Adnan MSG, Haque A, Hall JW (2019) Have coastal embankments reduced flooding in Bangladesh? Sci Total Environ 682:405–416. https://doi.org/10.1016/j.scitotenv.2019.05.048
Ahmed B, Dewan A (2017) Application of bivariate and multivariate statistical techniques in landslide susceptibility modeling in Chittagong City Corporation, Bangladesh. Remote Sens 9:50. https://doi.org/10.3390/rs9040304
Bajabaa S, Masoud M, Al-Amri N (2014) Flash flood hazard mapping based on quantitative hydrology, geomorphology and GIS techniques (case study of Wadi Al Lith, Saudi Arabia) Arabian. J Geosci 7:2469–2481. https://doi.org/10.1007/s12517-013-0941-2
BBS (2015) Bangladesh Disaster-related Statistics (2015) Climate change and natural disaster perspectives Bangladesh Bureau of Statistics (BBS). Ministry of Planning, Dhaka
Bhatt S, Ahmed SA (2014) Morphometric analysis to determine floods in the Upper Krishna basin using Cartosat DEM. Geocarto Int 29:878–894. https://doi.org/10.1080/10106049.2013.868042
Biswas S, Vacik H, Swanson ME, Haque SS (2012) Evaluating integrated watershed management using multiple criteria analysis: a case study at Chittagong Hill tracts in Bangladesh. Environ Monit Assess 184:2741–2761
Brakenridge GR (2018) Global Active Archive of Large Flood Events, Dartmouth Flood Observatory, University of Colorado. http://floodobservatory.colorado.edu/Archives/index.html
Brammer H (1990) Floods in Bangladesh: I. Geographical background to the 1987 and 1988 floods. Geogr J 156:12–22. https://doi.org/10.2307/635431
Bronstert A, Niehoff D, Bürger G (2002) Effects of climate and land-use change on storm runoff generation: present knowledge and modelling capabilities. Hydrol Process 16:509–529
Choudhury NY, Paul A, Paul BK (2004) Impact of costal embankment on the flash flood in Bangladesh: a case study. Appl Geogr 24:241–258. https://doi.org/10.1016/j.apgeog.2004.04.001
Collier C (2007) Flash flood forecasting: what are the limits of predictability? Q J R Meteorol Soc 133:3–23
Davis J (2002) Statistics and data analysis in geology, 3rd edn. Wiley, London
Dewan A (2013) Floods in a megacity: geospatial techniques in assessing hazards, risk and vulnerability. Springer, Dordrecht, pp 119–156
Dewan TH (2015) Societal impacts and vulnerability to floods in Bangladesh and Nepal weather and climate. Extremes 7:36–42. https://doi.org/10.1016/j.wace.2014.11.001
Diakakis M (2011) A method for flood hazard mapping based on basin morphometry: application in two catchments in Greece. Nat Hazards 56:803–814. https://doi.org/10.1007/s11069-010-9592-8
Elnazer AA, Salman SA, Asmoay AS (2017) Flash flood hazard affected Ras Gharib city, Red Sea, Egypt: a proposed flash flood channel. Nat Hazards 89:1389–1400. https://doi.org/10.1007/s11069-017-3030-0
Farhan Y, Anaba O, Salim A (2017) Morphometric Analysis and flash floods assessment for drainage basins of the Ras En Naqb Area, South Jordan using GIS Applied Morphometry and Watershed Management Using RS, GIS and Multivariate Statistics (Case Studies), p. 413
Field CB, Barros V, Stocker TF, Dahe Q (2012) Managing the risks of extreme events and disasters to advance climate change adaptation: special report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge
Global Active Archive of Large Flood Events (2018) Dartmouth flood observatory. University of Colorado. http://floodobservatory.colorado.edu/Archives/index.html
Horton RE (1932) Drainage-basin characteristics Eos. Trans Am Geophys Union 13:350–361. https://doi.org/10.1029/TR013i001p00350
Horton RE (1945) Erosional development of streams and their drainage basins; hydrophysical approach to quantitative morphology. Bull Geol Soc Am 56:275–370
Hughes RM, Kaufmann PR, Weber MH (2011) National and regional comparisons between Strahler order and stream size. J N Am Benthol Soc 30:103–121. https://doi.org/10.1899/09-174.1
Kabenge M, Elaru J, Wang H, Li F (2017) Characterizing flood hazard risk in data-scarce areas, using a remote sensing and GIS-based flood hazard index. Nat Hazards 89:1369–1387
Kamal ASMM, Shamsudduha M, Ahmed B, Hassan SMK, Islam MS, Kelman I, Fordham M (2018) Resilience to flash floods in wetland communities of northeastern Bangladesh. Int J Disaster Risk Reduct 31:478–488. https://doi.org/10.1016/j.ijdrr.2018.06.011
Kron W (2005) Flood risk = hazard values vulnerability. Water Int 30:58–68
Land resource information management system (2014) Bangladesh Agricultural Research Council (BARC). http://www.barc.gov.bd
Lin L et al (2019) Improvement and validation of NASA/MODIS NRT global flood mapping. Remote Sens 11:205
Melton MA (1957) An analysis of the relations among elements of climate, surface properties, and geomorphology. Columbia University, Newyork
Planchon O, Darboux F (2002) A fast, simple and versatile algorithm to fill the depressions of digital elevation models. Catena 46:159–176
Plate EJ (2002) Flood risk and flood management. J Hydrol 267:2–11
Rahman MS, Di L (2017) The state of the art of spaceborne remote sensing in flood management. Nat Hazards 85:1223–1248
Rahman R, Salehin M (2013) Flood risks and reduction approaches in Bangladesh. In: Shaw R, Mallick F, Islam A (eds) Disaster risk reduction approaches in Bangladesh. Springer, Tokyo, pp 65–90
Rahman MS, Ahmed B, Di L (2017) Landslide initiation and runout susceptibility modeling in the context of hill cutting and rapid urbanization: a combined approach of weights of evidence and spatial multi-criteria. J Mt Sci 14:1919–1937
Rahman M, Di L, Yu E, Lin L, Zhang C, Tang J (2019) Rapid flood progress monitoring in cropland with NASA SMAP. Remote Sens 11:191
Rai PK, Mohan K, Mishra S, Ahmad A, Mishra VN (2017) A GIS-based approach in drainage morphometric analysis of Kanhar River Basin, India. Appl Water Sci 7:217–232. https://doi.org/10.1007/s13201-014-0238-y
Sarker AA, Rashid AKMM (2013) Landslide and flashflood in Bangladesh. In: Shaw R, Mallick F, Islam A (eds) Disaster risk reduction approaches in Bangladesh. Springer, Tokyo, pp 165–189. https://doi.org/10.1007/978-4-431-54252-0_8
Schmidt J, Hennrich K, Dikau R (2000) Scales and similarities in runoff processes with respect to geomorphometry. Hydrol Process 14:1963–1979. https://doi.org/10.1002/1099-1085(20000815/30)14:11/12%3c1963:AID-HYP48%3e3.0.CO;2-M
Schumm SA (1956) Evolution of drainage systems and slopes in badlands at Perth Amboy, New Jersey. Bull Geol Soc Am 67:597–646. https://doi.org/10.1130/0016-7606(1956)67%5b597:eodsas%5d2.0.co;2
Seibert J, McGlynn BL (2007) A new triangular multiple flow direction algorithm for computing upslope areas from gridded digital elevation models. Water Resour Res. https://doi.org/10.1029/2006wr005128
Shen X, Anagnostou EN, Mei Y, Hong Y (2017) A global distributed basin morphometric dataset. Sci Data 4:160124. https://doi.org/10.1038/sdata.2016.124
Smith KG (1950) Standards for grading texture of erosional topography. Am J Sci 248:655–668
Strahler AN (1952) Hypsometric (area-altitude) analysis of erosional topography. Bull Geol Soc Am 63:1117–1142. https://doi.org/10.1130/0016-7606(1952)63%5b1117:haaoet%5d2.0.co;2
Strahler AN (1957) Quantitative analysis of watershed geomorphology Eos. Trans Am Geophys Union 38:913–920. https://doi.org/10.1029/TR038i006p00913
Stralher A (1964) Quantitative geomorphology of drainage basins and channel net work. Handb Appl Hidrol 4:76
Wieczorek ME (2012) Flow-based method for stream generation in a GIS. United States Geological Survey, August 6
WorldPop (2017) Bangladesh 100 m population, version 2. University of Southampton. https://doi.org/10.5258/soton/wp00533
Youssef AM, Pradhan B, Hassan AM (2011) Flash flood risk estimation along the St. Katherine road, southern Sinai, Egypt using GIS based morphometry and satellite imagery. Environ Earth Sci 62:611–623. https://doi.org/10.1007/s12665-010-0551-1
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Adnan, M.S.G., Dewan, A., Zannat, K.E. et al. The use of watershed geomorphic data in flash flood susceptibility zoning: a case study of the Karnaphuli and Sangu river basins of Bangladesh. Nat Hazards 99, 425–448 (2019). https://doi.org/10.1007/s11069-019-03749-3
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DOI: https://doi.org/10.1007/s11069-019-03749-3