Abstract
The Mahi—one of the major rivers in Western India—is subject to frequent major flooding, which severely affects the local economy and infrastructure. Little has been done, however, to assess the flood patterns and severity along its course. Here, the Mann–Kendall and Pettitt tests are used to identify long-term trends of precipitation and peak streamflow at multiple locations in the catchment. Then, flood susceptibility mapping is performed by the analytical hierarchy process, accounting for 14 geomorphic, hydraulic, and geologic factors. The analyses suggest a decline in total precipitation and peak flow discharges at most locations, consistently with the general climatic trend of the area, featuring a weakening summer monsoon. Nonetheless, a significant portion of the catchment area remains highly susceptible to flooding, with stream powers capable of mobilizing boulders up to 1 m in size in extraordinary floods. These results can support the work of engineers and policymakers dealing with floods in the study area, but the proposed methodology can also be applied to other fluvial catchments to evaluate the role of climate trends in modulating flood susceptibility.
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References
Bagnold RA (1977) Bedload transport by natural rivers. Water Resour Res 13:303–312
Baker VR, Kale VS (1998) The role of extreme floods in shaping bedrock channels. In: Tinkler KJ, Wolh E (eds) Rivers over rock: fluvial processes in bedrock channels. Monograph, vol 107. American Geophysical Union, Washington, DC, pp 153–165
Barker DM, Lawler DM, Knight DW, Morris DG, Davies HN, Stewart EJ (2009) Longitudinal distributions of river flood power: the combined automated flood, elevation and stream power (CAFES) methodology. Earth Surf Process Landf 34:280–290
Beckers A, Dewals B, Erpicum S, Dujardin S, Detrembleur S, Teller J (2013) Contribution of land use changes to future flood damage along the river Meuse in the Walloon region. Nat Hazards Earth Syst Sci 13:2301–2318
Blöschl G, Hall J, Parajka J, Perdigão RA, Merz B, Arheimer B, Aronica GT, Bilibashi A, Bonacci O, Borga M, Čanjevac I (2017) Changing climate shifts timing of European floods. Science 357(6351):588–590
Borga M, Anagnostou EN, Bloschl G, Creutin JD (2011) Flash flood forecasting, warning and risk management: the Hydrate project. Environ Sci Policy 14:834–844
Brookes A (1988) Channelized rivers: perspectives for environmental management. Wiley, Chichester
Cardenas MB, Wilson JL, Zlotnik V (2004) Impact of heterogeneity, bed forms, and stream curvature on subchannel hyporheic exchange. Water Resour Res. https://doi.org/10.1029/2004WR003008
Costa JE (1983) Paleohydraulic reconstruction of flash-flood peaks from boulder deposits in the Colorado Front range. Geol Soc Am Bull 94:986–1004
Dankers R, Feyen L (2008) Climate change impact on flood hazard in Europe: an assessment based on high-resolution climate simulations. J Geophys Res Atmos. https://doi.org/10.1029/2007JD009719
Das S (2018) Geographic information system and AHP-based flood hazard zonation of Vaitarna basin, Maharashtra. India Arabian J Geosci 11:576
Das S (2019) Geospatial mapping of flood susceptibility and hydro-geomorphic response to the floods in Ulhas basin, India. Remote Sens Appl Soc Environ 14:60–74
Das S (2020) Flood susceptibility mapping of the Western Ghat coastal belt using multi-source geospatial data and analytical hierarchy process (AHP). Remote Sens Appl Soc Environ 20:100379
Das S (2021) Hydro-geomorphic characteristics of the Indian (Peninsular) catchments: based on morphometric correlation with hydro-sedimentary data. Adv Space Res 67:2382–2397
Das S, Banerjee S (2021) Investigation of changes in seasonal streamflow and sediment load in the Subarnarekha-Burhabalang basins using Mann-Kendall and Pettitt tests. Arab J Geosci 14:946
Das S, Gupta A (2021) Multi-criteria decision based geospatial mapping of flood susceptibility and temporal hydro-geomorphic changes in the Subarnarekha basin. India. Geosci Front 12(5):101206
Das S, Sangode SJ, Kandekar AM (2021) Recent decline in streamflow and sediment discharge in the Godavari basin, India (1965–2015). CATENA 206:105537
Domènech G, Fan X, Scaringi G, van Asch TW, Xu Q, Huang R, Hales TC (2019) Modelling the role of material depletion, grain coarsening and revegetation in debris flow occurrences after the 2008 Wenchuan earthquake. Eng Geol 250:34–44
Fan X, Scaringi G, Korup O, West AJ, van Westen CJ, Tanyas H, Hovius N, Hales TC, Jibson RW, Allstadt KE, Zhang L (2019a) Earthquake-induced chains of geologic hazards: patterns, mechanisms, and impacts. Rev Geophys 57(2):421–503
Fan X, Scaringi G, Domènech G, Yang F, Guo X, Dai L, He C, Xu Q, Huang R (2019b) Two multi-temporal datasets that track the enhanced landsliding after the 2008 Wenchuan earthquake. Earth Syst Sci Data 11(1):35
Fowler HJ, Wilby RL (2010) Detecting changes in seasonal precipitation extremes using regional climate model projections: implications for managing fluvial flood risk. Water Resour Res. https://doi.org/10.1029/2008WR007636
Goel NK, Kurothe RS, Mathur BS, Vogel RM (2000) A derived flood frequency distribution for correlated rainfall intensity and duration. J Hydrol 228:56–67
Guhathakurta P, Sreejith OP, Menon PA (2011) Impact of climate change on extreme rainfall events and flood risk in India. J Earth Syst Sci 120:359–373
He B, Huang X, Ma M, Chang Q, Tu Y, Li Q, Zhang K, Hong Y (2018) Analysis of flash flood disaster characteristics in China from 2011 to 2015. Nat Hazards 90(1):407–420
Hjulströrm P (1935) Studies of the morphological activity of rivers as illustrated by the River Fyris. Bull Geol Inst Univ Uppsala 25:221–527
Ho LTK, Umitsu M (2011) Micro-landform classification and flood hazard assessment of the Thu Bon alluvial plain, central Vietnam via an integrated method utilizing remotely sensed data. Appl Geogr 31:1082–1093
Hudson PF, Kesel RH (2000) Channel migration and meander-bend curvature in the lower Mississippi River prior to major human modification. Geology 28:531–534
Jain SK, Nayak PC, Singh Y, Chandiha SK (2017) Trends in rainfall and peak flows for some river basins in India. Curr Sci 112:1712–1726
Johnson LE (2000) Assessment of flash flood warning procedures. J Geophys Res Atmos 105:2299–2313
Kale VS (2003) Geomorphic effects of monsoon floods on Indian rivers. Nat Hazards 28:65–84
Kale VS (2007) Geomorphic effectiveness of extraordinary floods on three large rivers of the Indian Peninsula. Geomorphology 85:306–316
Kale V (2012) On the link between extreme floods and excess monsoon epochs in South Asia. Clim Dyn 39:1107–1122
Kale VS, Hire PS (2004) Effectiveness of monsoon floods on the Tapi River, India: role of channel geometry and hydrologic regime. Geomorphology 207:275–291
Kale VS, Hire PS (2007) Temporal variation in the specific stream power and total energy expenditure of a monsoonal river: the Tapi river, India. Geomorphology 92:134–146
Kendall MG (1975) Rank correlation methods. Grifn, London
Kulkarni A (2012) Weakening of Indian summer monsoon rainfall in warming environment. Theor Appl Climatol 109:447–459
Kumar PV, Naidu CV, Prasanna K (2020) Recent unprecedented weakening of Indian summer monsoon in warming environment. Theor Appl Climatol 140:467–486
Leopold LB, Maddock T Jr (1955) Flood control problems. J Soil Water Conserv India 3:169–173
Li K, Wu S, Dai E, Xu Z (2012) Flood loss analysis and quantitative risk assessment in China. Nat Hazards 63:737–760
Liu YB, De Smedt F (2005) Flood modeling for complex terrain using GIS and remote sensed information. Water Resour Manag 19:605–624
Mann HB (1945) Nonparametric tests against trend. Econometrica 13:245–259
Mondal A, Lakshmi V, Hashemi H (2018) Intercomparison of trend analysis of multisatellite monthly precipitation products and gauge measurements for river basins of India. J Hydrol 565:779–790
Moore ID, Grayson RB, Ladson AR (1991) Digital terrain modelling: a review of hydrological, geomorphological, and biological applications. Hydrol Process 5:3–30
Padma TV (2018) Mining and dams exacerbated devastating Kerala floods. Nature 561:13–14
Pande K, Venkatesan TR, Gopalan K, Krishnamurthy P, Macdougall JD (1988) 40Ar-39Ar ages of alkali basalts from Kutch, Deccan Volcanic Province, India. Mem Geol Soc India 10:145–150
Petit F, Gob F, Houbrechts G, Assani AA (2005) Critical specific stream power in gravel-bed rivers. Geomorphology 69:92–101
Pettitt AN (1979) A non-parametric approach to the change-point problem. Appl Stat 28:126–135
Pfahl S, O’Gorman PA, Fischer EM (2017) Understanding the regional pattern of projected future changes in extreme precipitation. Nat Clim Change 7(6):423–427
Pickup G, Warner RF (1976) Effects of hydrologic regime on magnitude and frequency of dominant discharge. J Hydrol 29:51–75
Pradhan B, Lee S (2010) Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling. Environ Model Softw 25(6):747–759
Rahmati O, Pourghasemi HR, Zeinivand H (2016) Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran. Geocarto Int 31(1):42–70
Rashid H (2011) Interpreting flood disasters and flood hazard perceptions from newspaper discourse: tale of two floods in the Red river valley, Manitoba, Canada. Appl Geogr 31:35–45
Reager JT, Thomas BF, Famiglietti JS (2014) River basin flood potential inferred using GRACE gravity observations at several months lead time. Nat Geosci 7:588–592
Reneau SL (2000) Stream incision and terrace development in Frijoles Canyon, Bandelier National Monument, New Mexico, and the influence of lithology and climate. Geomorphology 32:171–193
Riley S, DeGloria SD, Elliot R (1999) A terrain ruggedness index that quantifies topographic heterogeneity. Int J Sci 5:1–4
Roy PS, Meiyappan P, Joshi PK, Kale MP, Srivastav VK, Sruvasatava SK, Behera MD, Roy A, Sharma Y, Ramacrandran RM, Bhavani P, Jain AK, Krishnamurthi YVN (2016) Decadal landuse and landcover classification across India, 1985, 1995, 2005. ORNL DAAC, Oak Ridge, Tennesse, USA. https://doi.org/10.3334/ORNLDAAC/1336
Saaty TL (1980) The analytic hierarchy process: planning, priority setting, resource allocation. McGrew Hill, New York
Santangelo N et al (2011) Flood susceptibility assessment in a highly urbanized alluvial fan: the case study of Sala Consilina (southern Italy). Nat Hazards Earth Syst Sci 11:2765
Singh N, Sontakke NA, Singh HN, Pandey AK (2005) Recent trend in spatiotemporal variation of rainfall over India—an investigation into basin-scale rainfall fluctuations. IAHS Publications, Wallingford, p 296
Sinha R, Bapalu GV, Singh LK, Rath B (2008) Flood risk assessment in the Kosi River Basin, North Bihar using multi-parametric approach of analytical hierarchy process (AHP). J Indian Soc Remote Sens 36:335–349
Sinha Ray KC (2000) Is there any change in extreme events like heavy rainfall? Curr Sci 79:155–158
Slater LJ, Singer MB, Kirchner JW (2015) Hydrologic versus geomorphic drivers of trends in flood hazard. Geophys Res Lett 42:370–376
Subramanian SS, Fan X, Yunus AP, van Asch T, Scaringi G, Xu Q, Dai L, Ishikawa T, Huang RA (2020) sequentially coupled catchment-scale numerical model for snowmelt-induced soil slope instabilities. J Geophys Res Earth Surf. https://doi.org/10.1029/2019JF005468
Tehrany MS, Pradhan B, Jebur MN (2013) Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS. J Hydrol 504:69–79
Williams GP (1983) Paleohydrological methods and some examples from Swedish fluvial environments. Geogr Ann 65A:227–243
Wohl EE (1993) Bedrock channel incision along Piccaninny Creek, Australia. J Geol 101:749–761
Yue S, Wang CY (2002) Applicability of prewhitening to eliminate the influence of serial correlation on the Mann-Kendall test. Water Resour Res 38(6):1068
Acknowledgements
S. Das is thankful to the UGC-India for partial financial support. G. Scaringi acknowledges financial support by the Czech Science Foundation (GAČR Junior Grant No. 20-28853Y) and by the Fund for international mobility of researchers at Charles University (MSCA-IF IV Grant No. CZ.02.2.69/0.0/0.0/20_079/0017987). S. Das wishes to thank the Department of Geography, Savitribai Phule Pune University, for providing all the necessary facilities to carry out this research. Critical and constructive comments from two anonymous reviewers improve the final manuscript significantly. Dr. Thomas Glade is sincerely acknowledged for efficient editorial handling of this manuscript.
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Das, S., Scaringi, G. River flooding in a changing climate: rainfall-discharge trends, controlling factors, and susceptibility mapping for the Mahi catchment, Western India. Nat Hazards 109, 2439–2459 (2021). https://doi.org/10.1007/s11069-021-04927-y
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DOI: https://doi.org/10.1007/s11069-021-04927-y