Skip to main content

Advertisement

Log in

Influence of maximum water level and coastal inundation on the east coast of India based on future tropical cyclones

  • Original Paper
  • Published:
Natural Hazards Aims and scope Submit manuscript

Abstract

The present paper investigates the impact of future scenarios for the past two storms (namely, Vardah and Madi). These two storms had a different intensity over Bay of Bengal, India. The recent study in this region shows that the influence of these Tropical Cyclones (TC) may be severe in future climatic conditions. Different future Representative concentration pathways (RCP) scenarios are investigated in this study. The combined sea level rise (SLR) and high wind intensity in future scenarios has been investigated in the present study for their influence on maximum water level (MWL), wave climate and coastal inundations. The coupled surge and wave models are used to analyze the influence of SLR and wind intensity for different RCPs. The variations of MWL and inundation extent with increase and decrease in wind increment for different RCPs of the TC’s were reported. Overall, for the Far Future RCP 8.5 scenario, the relative percentage of difference (compared to the current scenario) in MWL has increased by 135% for TC Vardah and 180% for TC Madi. Further, the flood area for TC’s Vardah and Madi will increase by 70% and 95% compared to the current scenario. Finally, the study reveals that the extreme wind intensity of the TC’s in future scenarios plays a significant contribution of up to 50% in coastal inundations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17

Similar content being viewed by others

References

  • Arns A, Wahl T, Haigh ID, Jensen J, Pattiaratchi C (2013) Estimating extreme water level probabilities: A comparison of the direct methods and recommendations for best practise. Coastal Engineering 81:51–66. https://doi.org/10.1016/j.coastaleng.2013.07.003

    Article  Google Scholar 

  • Atkinson JH, Westerink JJ, Luettich RA (2004) Two-dimensional dispersion analyses of finite element approximations to the shallow water equations. Int J Numer Meth Fluids 45(7):715–749. https://doi.org/10.1002/fld.701

    Article  Google Scholar 

  • Aucan J (2018) Effects of climate change on sea levels and inundation relevant to the Pacific Islands. Pac Marine Clim Change Rep Card Sci Rev 2018:43–49

    Google Scholar 

  • Balaguru K, Taraphdar S, Leung LR, Foltz GR (2014) Increase in the intensity of post monsoon Bay of Bengal tropical cyclones. Geophys Res Lett 41(10):3594–3601

    Article  Google Scholar 

  • Balaji M, Chakraborty A, Mandal M (2018) Changes in tropical cyclone activity in north Indian Ocean during satellite era (1981–2014). Int J Climatol 38(6):2819–2837

    Article  Google Scholar 

  • Bhaskaran PK, Rao AD, Murty T (2020) Tropical cyclone-induced storm surges and wind waves in the Bay of Bengal. In: Srivastava PK, Singh SK, Mohanty UC, Murty T (eds) Techniques for disaster risk management and mitigation, 1st edn. Wiley, New York, pp 239–294

    Google Scholar 

  • Bhaskaran PK, Nayak S, Bonthu SR, Murty PLN, Sen D (2013) Performance and validation of a coupled parallel ADCIRC–SWAN model for THANE cyclone in the Bay of Bengal. Environ. Fluid Mech

  • Bhavithra RS, Sannasiraj SA (2022) Climate change projection of wave climate due to Vardah cyclone in the Bay of Bengal. Dyn Atmos Oceans 97:101279

    Article  Google Scholar 

  • Bister M, Emanuel KA (2002) Low frequency variability of tropical cyclone potential intensity 1. Inter annual to inter decadal variability. J Geophys Res 107(D24):ACL-26

    Google Scholar 

  • Blankespoor B, Dasgupta S, Laplante B (2012) Sea-level rise and coastal wetlands impacts and costs; policy research working paper; No. 6277; World Bank, Washington, DC, USA, 2012

  • Booij N, Holthuijsen LH, Ris RC (1996) The SWAN wave model for shallow water. Proc. 25th Int. Conf. Coastal Engng., Orlando, USA, Vol. 1, pp. 668–676

  • Busireddy NK, Raghu N, Krishna O, Kumar A, Mohanty U-C, Dev N (2019) Impact of vortex size and Initialization on prediction of landfalling tropical cyclones over Bay of Bengal. Atmos Res 224:18–29. https://doi.org/10.1016/j.atmosres.2019.03.014

    Article  Google Scholar 

  • Chen Z, Zhou T, Zhang L, Chen X, Zhang W, Jiang J (2020) Global land monsoon precipitation changes in CMIP6 projections. Geophys Res Lett 47:e2019GL086902

    Article  Google Scholar 

  • Cheon SH, Suh KD (2016) Effect of sea level rise on near shore significant waves and coastal structures. Ocean Eng 114:280–289

    Article  Google Scholar 

  • Choudhari HS, Hazra A, Pokhrel S, Saha SK, Taluri SS (2018) Simulation of extreme Indian summer monsoon years in coupled model inter comparison project phase 5 models: role of cloud processes. Int J Climatol. https://doi.org/10.1002/joc5851

    Article  Google Scholar 

  • Chowdhury P, Behera MR, Reeve DE (2019) Wave climate projections along the Indian coast. Int J Climatol 39:4531–4542. https://doi.org/10.1002/joc.60964542

    Article  Google Scholar 

  • Church JA, Clark PU, Cazenave A, Gregory JM, Jevrejeva S, Levermann A, Merrifield MA, Milne GA, Nerem RS, Nunn PD, Payne AJ, Pfeffer WT, Stammer D and Unnikrishnan AS (2013) Sea Level Change. In: Stocker TF, Qin D, Plattner GK, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (eds)Climate change 2013: The physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA

  • Dietrich J, Kolar R, Luettich R (2004) Assessment of ADCIRC's wetting and drying algorithm of Developments in Water Science. In: Miller CT, Pinder GF (eds.) Computational Methods in Water Resources: Volume 2, Proceedings of the xvth international conference on computational methods in water resources, vol. 55, Elsevier pp. 1767–1778. https://doi.org/10.1016/s0167-5648(04)80183-7

  • Dietrich JC, Tanaka S, Westerink JJ, Dawson CN, Luettich RA Jr, Zijlema M, Westerink HJ (2012) Performance of the unstructured-mesh, SWAN + ADCIRC model in computing hurricane waves and surge. J Sci Comput 52(2):468–497

    Article  Google Scholar 

  • Dietrich JC, Zijlema M, Westerink JJ, Holthuijsen LH, Dawson CN, Luettich RA Jr (2011) Modeling hurricane waves and storm surge using integrally-coupled, scalable computations. Coast Eng 58:45–65

    Article  Google Scholar 

  • Emanuel KA (1995) Sensitivity of tropical cyclones to surface exchange coefficients and a revised steady-state model incorporating eye dynamics. J Atmosp Sci 52(22):3969–3976

    Article  Google Scholar 

  • Garratt JR (1977) Review of drag coefficients over oceans and continents. Mon Weather Rev 105(7):915–929

    Article  Google Scholar 

  • Gualdi S, Scoccimarro E, Navarra A (2008) Changes in tropical cyclone activity due to global warming: results from a high-resolution coupled general circulation model. J Clim 21(20):5204–5228. https://doi.org/10.1175/2008JCLI1921.1

    Article  Google Scholar 

  • Guneralp B, Guneralp I, Liu Y (2015) Changing global patterns of urban exposure to flood and drought hazards. Glob Environ Chang 31:217–225

    Article  Google Scholar 

  • Haigh I, Nicholls R, Wells N (2010) Assessing changes in extreme sea levels: Application to the English Channel, 1900–2006. Continental Shelf Research 30(9):1042–1055. https://doi.org/10.1016/j.csr.2010.02.002

    Article  Google Scholar 

  • Hirabayashi Y, Mahendran R, Koirala S et al. (2013) Global flood risk under climate change. Nature Clim Change 3:816–821. https://doi.org/10.1038/nclimate1911

    Article  Google Scholar 

  • Holthuijsen LH, Booij N, Ris RC (1993) A spectral wave model for the coastal zone. In: Proceedings 2nd international symposium on ocean wave measurement and analysis. New Orleans, Louisiana, New York, pp 630–641

  • https://www.rsmcnewdelhi.imd.gov.in/uploads/report/27/27_14ab8f_rsmc-2013.pdf

  • Jain S, Salunke P, Mishra SK, Sahany S (2019) Performance of CMIP5 models in the simulation of Indian summer monsoon. Theor Appl Climatol 137:1429–1447

    Article  Google Scholar 

  • Jisan MA, Bao S, Pietrafesa LJ (2018) Ensemble projection of the sea level rise impact on storm surge and inundation at the coast of Bangladesh. Nat Hazards Earth Syst Sci 18:351–364

    Article  Google Scholar 

  • Johns B, Ali MA (1980) the numerical modelling of storm surges in the Bay of Bengal. Q J R Meteorol Soc 106(447):1–18

    Article  Google Scholar 

  • Jyoteeshkumar P, Kiran P, Balaji C (2020) Chennai extreme rainfall event of 2015 under future climate projections using the pseudo global warming dynamic downscaling method. Curr Sci 118(12):1968

    Article  Google Scholar 

  • Jyothi L, Joseph S (2019) Surface and sub-surface ocean response to tropical cyclone Phailin: role of pre-existing oceanic features. J Geophys Res 124(9):6515–6530

    Article  Google Scholar 

  • Karim MF, Mimura N (2008) Impacts of climate change and sea-level rise on cyclonic storm surge floods in Bangladesh. Glob Environ Change 18:490–500. https://doi.org/10.1016/j.gloenvcha.2008.05.002

    Article  Google Scholar 

  • Kinnmark I (1986) Implicit methods. In: Kinnmark I (ed) The shallow water wave equations: formulation, analysis and application. Springer, Berlin, pp 96–114

    Chapter  Google Scholar 

  • Kirezci E, Young IR, Ranasinghe R, Muis S, Nicholls RJ, Lincke D, Hinkel J (2020) Projections of global-scale extreme sea levels and resulting episodic coastal flooding over the 21st Century. Sci Rep 10:11629. https://doi.org/10.1038/s41598-020-67736-6

    Article  Google Scholar 

  • Knutti R, Masson D, Gettelman A (2013) Climate model genealogy: generation CMIP5 and how we got there. Geophys Res Lett 40:1194–1199. https://doi.org/10.1002/grl.50256

    Article  Google Scholar 

  • Krishnan A, Bhaskaran PK (2019a) Performance of CMIP5 wind speed from global climate models for the Bay of Bengal region. Int J Climatol. https://doi.org/10.1002/joc.6404

    Article  Google Scholar 

  • Krishnan A, Bhaskaran PK, Kumar P (2021) CMIP5 model performance of significant wave heights over the Indian Ocean using COWCLIP datasets. Theoret Appl Climatol. https://doi.org/10.1007/s00704-021-03642-9

    Article  Google Scholar 

  • Krishnan A, Bhaskaran PK (2019b) CMIP5 wind speed comparison between satellite altimeter and reanalysis products for the Bay of Bengal. https://doi.org/10.1007/s10661-019-7729-0

  • Kulkarni S, Deo MC, Ghosh S (2016) Evaluation of wind extremes and wind potential under changing climate for Indian Offshore using ensemble of 10 GCMs. Ocean Coast Manage 121:141–152. https://doi.org/10.1016/j.ocecoaman.2015.12.008

    Article  Google Scholar 

  • Lakshmi DD, Murty PLN, Bhaskaran PK, Sahoo B, Kumar TS, Shenoi SSC, Srikanth AS (2017) Performance of WRF-ARW winds on computed storm surge using hydrodynamic model for Phailin and Hudhud cyclones. Ocean Eng 131:135–148

    Article  Google Scholar 

  • Luettich R, Westerink JJ (2004) Formulation and numerical implementation of the 2d/3d adcirc finite element model version 44.XX Tech. Rep. https://adcirc.org/files/2018/11/adcirc%5c_theory%5c_2004%5c_12%5c_08.pdf

  • Le Provost C, Bennett AF, Cartwright DE (1995) Ocean tides for and from TOPEX/POSEIDON. Science 267(5198):639–642

    Article  Google Scholar 

  • Levermann A, Clark PU, Marzeion B, Milne GA, Pollard D, Radic V, Robinson A (2013) The multimillennial sea-level commitment of global warming. Proc Natl Acad Sci 110:13745–13750

    Article  Google Scholar 

  • Lin N, Emanuel K, Oppenheimer M, Vanmarcke E (2012) Physically based assessment of hurricane surge threat under climate change. Nat Clim Chang 2012(2):462–467

    Article  Google Scholar 

  • Luettich RA, Westerink JJ (1999) Elemental wetting and drying in the ADCIRC hydrodynamic model: upgrades and documentation for ADCIRC Version 34. XX

  • Luettich RA, Westerink JJ, Scheffner N (1992) ADCIRC: an advanced three-dimensional circulation model for shelves coasts and estuaries, report 1: theory and methodology of ADCIRC-2DDI and ADCIRC-3DL. Dredging Research Program Technical Report. DRP-92–6, U.S. Army Engineer Waterways Experiment Station. Vicksburg, MS

  • Meinshausen M, Smith SJ, Calvin K, Daniel JS, Kainuma M, Lamarque JF, Matsumoto K, Montzka S, Raper S, Riahi K et al (2011) The RCP greenhouse gas concentrations and their extensions from 1765 to 2300. Clim Change 109(1–2):213

    Article  Google Scholar 

  • Mimura N (2013) Sea-level rise caused by climate change and its implications for society. In: Proceedings of the Japan Academy. Series B, physical and biological sciences 89(7):281–301. https://doi.org/10.2183/pjab.89.281

  • Mittal R, Tiwari M, Radhakrishnan C, Ray P, Singh T, Nickerson AK (2019) Response of tropical cyclone Phailin (2013) in the Bay of Bengal to climate perturbations. Clim Dyn 53:1–18

    Article  Google Scholar 

  • Monaghan A, Steinhof D, Bruyere C, Yates D (2014) NCAR CESM global bias-corrected CMIP5 output to support WRF/MPAS research. Res Data Arch Natl Center Atmos Res Comput Inf Syst Lab Boulder CO. https://doi.org/10.5065/D6DJ5CN4

    Article  Google Scholar 

  • Morim J, Trenham C, Hemer M, Wang XL, Mori N, Casas-Prat M, Semedo A, Shimura T, Timmermans B, Camus P, Bricheno L, Mentaschi L, Dobrynin M, Feng Y, Erikson L (2020) A global ensemble of ocean wave climate projections from CMIP5-driven models. Sci Data 7:105. https://doi.org/10.1038/s41597-020-0446-2

    Article  Google Scholar 

  • Moss R, Babiker W, Brinkman S, Calvo E, Carter T, Edmonds J, Jones RN (2008) Towards new scenarios for the analysis of emissions: climate change, impacts and response strategies; IPCC expert Meeting ReportJevrejeva S, Grinsted A and Moore J C 2014 upper limit for sea level projections by 2100. Environ Res Lett 9(10):104008

    Google Scholar 

  • Murty PLN, Sandhya KG, Bhaskaran PK, Felix J, Gayatri R, Balakrishna Nair TM, Srinivasa Kumar T, Shenoi SSC (2014) A coupled hydrodynamic system for PHAILIN cyclone in the Bay of Bengal. Coast Eng 93:71–81

    Article  Google Scholar 

  • Murty PLN, Bhaskaran PK, Gayathri R, Sahoo B, Srinivasa Kumar T, Subba Reddy B (2016) Numerical study of coastal hydrodynamics using a coupled model for Hudhud cyclone in the Bay of Bengal, Estuary. Coast Shelf Sci 183:13–27

    Article  Google Scholar 

  • Murty PLN, Rao AD, Srinivas KS, Rama Rao P, Bhaskaran PK (2020) Effect of wave radiation stress in storm surge-induced inundation: a case study for the east coast of India. Pure Appl Geophys 177:2993–3012

    Article  Google Scholar 

  • Oouchi K, Yoshimura J, Yoshimura H, Mizuta R, Kusunoki S, Noda A (2006) Tropical cyclone climatology in a global-warming cli mate as simulated in a 20 km-mesh global atmospheric model: frequency and wind intensity analyses. J Meteor Soc Jpn Ser II 84(2):259–276

    Article  Google Scholar 

  • Patil RG, Deo MC (2020) Sea Level Rise and Shoreline Change under Changing Climate Along the Indian Coastline. J Waterw Port Coast Ocean Eng 146(5):05020002

    Article  Google Scholar 

  • Patnaik K, Maneesha K, Sadhu Ram Y, Prasad K, RamanaMurty T, Brahmananda Rao V (2014) East India coastal current induced eddies and their interaction with tropical storms over bay of Bengal. J Oper Oceanogr 7(1):58–66

    Google Scholar 

  • Poulose J, Rao AD, Bhaskaran PK (2017) Role of continental shelf on non-linear interaction of storm surges, tides and wind waves: an idealized study representing the west coast of India. Estuar Coast Shelf Sci 207:457–470

    Article  Google Scholar 

  • Rahaman KM, Ahmed FRS, Islam MN (2016) Modeling on climate induced drought of north-western region, Bangladesh. Model Earth Syst Environ 2(1):45. https://doi.org/10.1007/s40808-016-0089-7

    Article  Google Scholar 

  • Rao AD, Upadhaya P, Pandey S, Poulose J (2019) Simulation of extreme water levels in response to tropical cyclones along the Indian coast: a climate change perspective. Nat Hazards 100:151–172. https://doi.org/10.1007/s11069-019-03804-z

    Article  Google Scholar 

  • Rao AD, Upadhaya P, Pandey S, Poulose J (2020) Simulation of extreme water levels in response to tropical cyclones along the Indian coast: a climate change perspective. Nat Hazards 100:151–172. https://doi.org/10.1007/s11069-019-03804-z

    Article  Google Scholar 

  • Rao AD, Poulose J, Upadhyay P, Mohanty S (2015) Local-scale assessment of tropical cyclone induced storm surge inundation over the coastal zones of India in probabilistic climate risk scenario. Ocean Science J, Springer International Publishing, pp 79–88

  • Sahany S, Mishra SK, Salunke P (2019) Historical simulations and climate change projections over India by NCAR CCSM4: CMIP5 vs. NEX-GDDP. Theor Appl Climatol 135:1423–1433. https://doi.org/10.1007/s00704-018-2455-z

    Article  Google Scholar 

  • Sandeep C, Krishnamoorthy C, Balaji C (2018) Impact of cloud parameterization schemes on the simulation of cyclone Vardah using the WRF model. Curr Sci (00113891) 115(6):1143–1153

    Article  Google Scholar 

  • Schaeffer M, Hare W, Rahmstorf S, Vermeer M (2012) Long-term sea-level rise implied by 1.5 °C and 2 °C warming levels. Nat Clim Chang 2:867–870. https://doi.org/10.1038/nclimate1584

    Article  Google Scholar 

  • Semedo A, Weisse R, Behrens A, Sterl A, Bengtsson L, Günther H (2012) Projection of global wave climate change toward the end of the twenty-first century. J Clim 26(21):8269–8288. https://doi.org/10.1175/JCLI-D-12-00658.1

    Article  Google Scholar 

  • Shashank VG, Sriram V, Sannasiraj SA (2022) Improvements in wind field hindcast for storm surge predictions in the Bay of Bengal: a case study for the ntropical cyclone Varadah. Appl Ocean Res. https://doi.org/10.1016/j.apor.2022.103324

    Article  Google Scholar 

  • Singh C, Rahman A, Srinivas A, Bazaz A (2018) Risks and responses in rural India: Implications for local climate change adaptation action Clim. Risk Manag 21:52–68

    Google Scholar 

  • Srinivas G, Remya PG, Kumar BP, Modi A, Balakrishnan Nair TM (2021) The impact of Indian Ocean dipole on tropical Indian Ocean surface wave heights in ERA5 and CMIP5 models. Int J Climatol 41(3):1619–1632. https://doi.org/10.1002/joc.6900

    Article  Google Scholar 

  • Sun Y, Zhong Z, Li T, Yi L, Hu Y, Wan H, Li Q (2017) Impact of ocean warming on tropical cyclone size and its destructiveness. Sci Rep 7(1):8154

    Article  Google Scholar 

  • Syvitski JP, Kettner AJ, Overeem I, Hutton EW, Hannon MT, Brakenridge GR, Day J, Vörösmarty C, Saito Y, Giosan L (2009) Sinking deltas due to human activities. Nat Geosci 2:681–686

    Article  Google Scholar 

  • Tebaldi C, Strauss BH, Zervas CE (2012) Modelling sea level rise impacts on storm surges along US coasts. Environ Res Lett 7:014032

    Article  Google Scholar 

  • Unnikrishnan AS, Sundar D, Blackman DL (2004) Analysis of extreme sea level along the east coast of India. J Geophys Res. https://doi.org/10.1029/2003JC002217

    Article  Google Scholar 

  • Wakelin SL, Proctor R (2002) The impact of meteorology on modelling storm surges in the Adriatic Sea Global Planet. Change 34:97–119

    Google Scholar 

  • Williams JJ, Esteves LS, Rochford LA (2015) Modelling storm responses on a high-energy coastline with XBeach. Model Earth Syst Environ 1(1–2):3. https://doi.org/10.1007/s40808-015-0003-8

    Article  Google Scholar 

  • Yamaguchi M, Chan JC, Moon IJ, Yoshida K, Mizuta R (2020) Global warming changes tropical cyclone translation speed. Nat Commun 11(1):1–7

    Article  Google Scholar 

  • Yoshikane T, Kimura F, Kawase H, Nozawa T (2012) Verification of the performance of the pseudo-global-warming method for future climate changes during June in East Asia. SOLA 8:133–136

    Article  Google Scholar 

Download references

Acknowledgements

This work is supported by Department of Science & Technology, India, and Grant No. DST/CCP/CoE/141/2018C under SPLICE—Climate Change Programme.

Funding

This work was funded by Department of Science & Technology, India, and Grant No. DST/CCP/CoE/141/2018C under SPLICE—Climate Change Programme. The authors would like to acknowledge the funding support.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Preparation of model, simulations and analysis were performed by VY. The first draft of the manuscript was written by VY and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to V. Sriram.

Ethics declarations

Conflict of interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yalla, V., Sriram, V. & Murali, K. Influence of maximum water level and coastal inundation on the east coast of India based on future tropical cyclones. Nat Hazards 120, 1263–1294 (2024). https://doi.org/10.1007/s11069-023-06244-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11069-023-06244-y

Keywords

Navigation