Changes in river bed terrain and its impact on flood propagation – a case study of River Jayanti, West Bengal, India

References

• Ahmad SS, Simonovic SP. 2011. A three-dimensional fuzzy methodology for flood risk analysis. J Flood Risk Manage. 4(1):53–74.
   Google Scholar
• Biswas M, Banerjee P. 2018. Bridge construction and river channel morphology – a comprehensive study of flow behavior and sediment size alteration of the River Chel, India. Arab J Geosci. 11(16): 1–23.
   Google Scholar
• Chakrabortty D. 2017. Sit Rep-ii: north Bengal flood report, state inter agency group – West Bengal State, IAG. 1–4. https://sphereindiablog.files.wordpress.com/2017/08/2017-08-17-sitrep-iii-north-bengal-flood.pdf
   Google Scholar
• Charlton R. 2008. Fundamentals of fluvial geography. London/New York: Taylor and Francis Group/Routledge.
   Google Scholar
• Coates DR, Vitek JD. 1980. Perspectives on geomorphic thresholds. In: Coates, DR, Vitek, JD editors. Thresholds in geomorphology. London: George Allen and Unwin; p. 3–23.
   Google Scholar
• Das BK. 2009. Flood disasters and forest villagers in Sub Himalayan Bengal. Economic and Political Weekly. XLIV(4):24–30.
   Google Scholar
• Das BK. 2012. Losing biodiversity, impoverishment forest villagers: analysing forest policies in the context of flood disaster in a National Park of Sub Himalayan Bengal, India. Occasional Paper. 35:1–2.
   Google Scholar
• Gharbi M, Soualmia A, Dartus D, Masbernat L. 2016. Floods effects on rivers morphological changes application to the Medjerda River in Tunisia. J Hydrol Hydromech. 64(1):56–66.
   Google Scholar
• Ghosh S, Mistri B. 2012. Hydrogeomorphic Significance of Sinuosity Index in relation to river instability: a case study of Damodar River, West Bengal, India. Int J Adv Earth Sci. 1(2):49–57.
   Google Scholar
• Ghosh D, Saha S. 2014. Channel bed aggradation in relation to channel Morphometry: A case study of river Jainti, Jalpaiguri, West Bengal. Int J Geomat Geosci. :192–208. ISSN 0976–4380.
   Google Scholar
• Hooke JM. 2008. Temporal variations in fluvial processes on an active meandering river over a 20-year period. Geomorphology. 100(1/2):3–13.
   Google Scholar
• Howard AD. 1996. Modelling channel evolution and floodplain morphology. Floodplain processes. John Willey & Sons Ltd.; Chichester. p.15–53.
   Google Scholar
• Jain V, Sinha R. 2003. Geomorphological manifestations of the flood hazard: a remote sensing based approach. Geocarto Int. 18(4):51–59.
   Google Scholar
• Kale V. 2002. Fluvial geomorphology of Indian rivers – an overview. Prog Phys Geog. 26(3):400–433.
   Google Scholar
• Kaur A, Kaur A. 2012. Comparison of Fuzzy logic and neuro Fuzzy algorithms for air conditioning system. Int J Soft Comput Eng. 2(1):417–420. VolumeIssue-ISSN: 2231–2307.
   Google Scholar
• Khalid MA, Patel S. 1999. Ecological assessment of habitat loss due to boulder/bed material deposit in rivers of Buxa Tiger Reserve. A Research Report. Department of Forests, Government of West Bengal, 1–4.
   Google Scholar
• Kuo CW, Chen CF, Chen SC, Yang TC, Chen CW. 2017. Channel planform dynamics monitoring and channel stability assessment in two sediment-rich rivers in Taiwan. Water. 9(2):84–16.
   Google Scholar
• Lane SN, Widdison PE, Thomas RE, Ashworth PJ, Best JL, Lunt IA, Sambrook Smith GH, Simpson CJ. 2010. Quantification of braided river channel change using archival digital image analysis. Earth Surf Process Landforms. 35(8):971–985.
   Google Scholar
• Leys KF, Alan Werritty A. 1999. River channel planform change: software for historical analysis. Geomorphology. 29(1/2):107–120.
   Google Scholar
• Lotsari ES, Calle M, Benit G, Kukko A, Kaartinen H, Hyyppä J, Hyyppä H, Alho P. 2018. Topographical change caused by moderate and small floods in a gravel bed ephemeral river – a depth-averaged morphodynamic simulation approach. Earth Surf Dyn. 6(1):163–182.
   Google Scholar
• Nandargi S, Dhar ON. 2011. Extreme rainfall events over the Himalayas between 1871 and 2007. Hydrolog Sci J. 56(6):930–945.
   Google Scholar
• Nanson GC, Croke JC. 1992. A genetic classification of floodplains. Geomorphology. 4(6):459–486.
   Google Scholar
• Nayak PC, Sudheer KP, Ramasastri KS. 2005. Fuzzy computing based rainfall–runoff model for real time flood forecasting. Hydrol Process. 19(4):955–968.
   Google Scholar
• Newson MD. 1992. Geomorphic thresholds in gravel-bed rivers—refinement for an era of environmental change. In: Billi P, Hey RD, Thorne CR, Tacconni P, editors. Dynamics of Gravel-Bed Rivers. Chichester: Wiley; p. 1–20.
   Google Scholar
• Panniza M. 1996. Environmental geomorphology. Amsterdam: Elsevier.
   Google Scholar
• Tang H, Debaveye J, Ruan D, Van Ranst E. 1991. Land suitability classification based on Fuzzy set theory. Pedologie. XLI-3:277–290.
   Google Scholar
• Van Ranst E, Tang H, Groenemam R, Sinthurahat S. 1996. Application of fuzzy logic to land suitability for rubber production in Peninsular Thailand. Elsevier, Geodema. 70(1):1–19.
   Google Scholar
• Yeshewatesfa, H, Bardossy A, Werner HW. 2001. Development of a Fuzzy logic-based rainfall-runoff model. Hydrolog Sci J. 46(3):363–376.
   Google Scholar
• Zadeh, LA. 1965. Fuzzy sets. Inf. Control. 8(3):338–353. doi: 10.1016/S0019-9958(65)90241-X.
   Google Scholar