Skip to main content

Advertisement

Log in

Modeling the concurrent impact of extreme rainfall and reservoir storage on Kerala floods 2018: a Copula approach

  • Original Article
  • Published:
Modeling Earth Systems and Environment Aims and scope Submit manuscript

Abstract

This study investigates the concurrent impact of reservoir storage and extreme rainfall on the devastating Kerala floods 2018 using Copulas. First, the effect of storage of four major reservoirs Idukki, Idamalayar, Kakki and Kallada is investigated by developing storage curves. It is noticed that in the four reservoirs, the storage level was above the decadal mean storage in most of the days of July–August period of 2018. An analysis on the storage levels of the four reservoirs showed that the water level crossed the spillway crest level of the respective reservoirs by July 26, 2018 and the controlled release might have helped in alleviating the flood disasters. In the Copula-based modeling, first, the marginal distribution of monthly storage and rainfall of the four reservoirs are developed and it was found that the generalized Pareto (GP) distribution was fitting best for all the storage data. The exponential fit was found to be the best for rainfall of all reservoirs except that of Kakki. Subsequently, the joint probability of reservoir storage and rainfall is investigated using three popular Copulas of Archimedean family namely Gumbel–Hougaard (GH), Clayton and Frank and the best Copula is identified for each case. The return period curves are developed for both joint and conditional cases using the best fitted Copula. The sensitivity analysis of joint return period showed that the rainfall of Kakki and Idukki at 2018 was extreme and the effect of rainfall is dominant in these reservoirs.

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.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  • Adarsh S, Karthik S, Shyma M, Das Prem G, Shirin Parveen AT, Narayan Sruthy (2018) Developing short term drought severity–duration–frequency curves for Kerala meteorological subdivision, India using bivariate Copulas. KSCE J Civ Eng 22(3):962–973

    Article  Google Scholar 

  • AghaKouchak A, Cheng L, Mazdiyasni O, Farahmand A (2014) Global warming and changes in risk of concurrent climate extremes: insights from the 2014 California drought. Geophys Res Lett 41(24):8847–8852

    Article  Google Scholar 

  • Ali H, Modi P, Mishra V (2019) Increased flood risk in Indian sub-continent under the warming climate. Weath Clim Extremes. https://doi.org/10.1016/j.wace.2019.100212

    Article  Google Scholar 

  • Dixit A, Sahany S, Choube S (2019) Role of land-use-land-cover changes in the 2018 Mega-floods over Kerala (India). Geophysical Research Abstracts Vol. 21, EGU2019-17148-1, EGU General Assembly 2019, Vienna, Austria, 7–12 April 2019

  • Ganguli P, Reddy MJ (2012) Risk assessment of droughts in Gujarat using bivariate Copulas. Water Resour Manag 26:3301–3327

    Article  Google Scholar 

  • Ganguli P, Reddy MJ (2013) Probabilistic assessment of flood risks using trivariate Copulas. Theoret Appl Climatol 111(1–2):341–360

    Article  Google Scholar 

  • Genest C, Rivest L-P (1993) Statistical inference procedures for bivariate archimedean Copulas. J Am Stat Assoc 88(423):1034–1043

    Article  Google Scholar 

  • Ghosh S (2010) Modeling bivariate rainfall distribution and generating bivariate correlated rainfall data in neighboring meteorological subdivisions using Copula. Hydrol Process 24(24):3558–3567

    Article  Google Scholar 

  • Hao Z, Singh VP, Hao F (2018) Compound extremes in hydroclimatology: a review. Water 10(6):718

    Article  Google Scholar 

  • Joy J, Kanga S, Singh SK (2019) Kerala flood 2018: flood mapping by participatory GIS approach, Meloor Panchayat. Int J Emerging Techn 10(1):197–205

    Google Scholar 

  • Kao SC, Govindaraju RS (2010) A Copula-based joint deficit index for droughts. J Hydrol 380:121–134

    Article  Google Scholar 

  • Karmakar S, Simonovic SP (2009) Bivariate flood frequency analysis. Part 2: a Copula based approach with mixed marginal distributions. J Flood Risk Manage 2(1):1–13

    Article  Google Scholar 

  • Lopez-Moreno JI, Begueria S, Garcia-Ruiz JM (2004) The management of a large Mediterranean reservoir: storage regimens of the Yesa Reservoir, Upper Aragon River Basin, central Spanish Pyrenees. Environ Manag 34(4):508–515

    Article  Google Scholar 

  • Mirabbasi R, Fakheri-Fard A, Dinpashoh Y (2012) Bivariate drought frequency analysis using the Copula method. Theoret Appl Climatol 108(1–2):191–206

    Article  Google Scholar 

  • Mishra AK, Nagaraju V (2019) Space-based monitoring of severe flooding of a southern state in India during south-west monsoon season of 2018. Nat Hazards. https://doi.org/10.1007/s11069-019-03673-6

    Article  Google Scholar 

  • Mishra V, Shah HL (2018) Hydroclimatological perspective of the Kerala flood of 2018. J Geolog Soc India 92(5):511–650

    Article  Google Scholar 

  • Mishra V, Aaadhar S, Shah H, Kumar R, Pattanaik DR, Tiwari AD (2018) The Kerala flood of 2018: combined impact of extreme rainfall and reservoir storage. Hydrol Earth Syst Sci Discuss. https://doi.org/10.5194/hess-2018-480

    Article  Google Scholar 

  • Nelsen RB (2007) An introduction to Copulas. Springer, NewYork

    Google Scholar 

  • Pandey PK, Das L, Jhajharia D, Pandey V (2018) Modeling of interdependence between rainfall and temperature using Copula. Modeling Earth Syst Environ 4(2):867–879

    Article  Google Scholar 

  • Salvadori G, De Michele C (2004) Frequency analysis via Copulas: Theoretical aspects and applications to hydrological events. Water Resour Res 40(12):1. https://doi.org/10.1029/2004WR003133

    Article  Google Scholar 

  • Shiau JT, Modarres R (2009) Copula-based drought severity–duration–frequency analysis in Iran. Meteorol Appl 16(4):481–489

    Article  Google Scholar 

  • Singh VP, Zhang L (2007) IDF curves using the Frank Achimedean Copula. J Hydrol Eng 12(6):651–662

    Article  Google Scholar 

  • Sklar A (1959) Fonctions de répartition à n dimensions etleursmarges. Publ Inst Stat Univ Paris 8:229–231

    Google Scholar 

  • Sudheer KP, Bhallamudi SM, Narasimhan B, Thomas J, Bindhu VM, Vema V, Kurian C (2019) Role of dams on the floods of August 2018 in Periyar River Basin, Kerala. Curr Sci 116(5):780–794

    Google Scholar 

  • Vishnu CL, Sajinkumar KS, Oommen T, Coffman RA, Thrivikramji KP, Rani VR, Keerthy S (2019) Satellite-based assessment of the August 2018 flood in parts of Kerala, India. Geomatics Nat Hazards Risk 10(1):758–767

    Article  Google Scholar 

  • Yusof F, Hui-Mean F, Suhaila J, Yusof Z (2013) Characterization of drought properties with bivariate Copula analysis. Water Resour Manag 27(12):4183–4207

    Article  Google Scholar 

  • Zellou B, Rahali H (2019) Assessment of the joint impact of extreme rainfall and storm surge on the risk of flooding in a coastal area. J Hydrol 569:647–665

    Article  Google Scholar 

  • Zhang L, Singh VP (2006) Bivariate flood frequency analysis using the Copula method. J Hydrol Eng ASCE 11(2):150–164

    Article  Google Scholar 

  • Zhang R, Chen X, Cheng Q, Zhang Z, Shi P (2016) Joint probability of precipitation and reservoir storage for drought estimation in the headwater basin of the Huaihe River, China. Stoch Environ Res Risk Assess 30(6):1641–1657

    Article  Google Scholar 

Download references

Acknowledgements

Authors acknowledge the valuable service provided by the Water Resources Information System (WRIS) of Central Water Commission (CWC) India, Kerala State Electricity Board (KSEB) and Kerala State Department of Irrigation in the form of supply of relevant data essential for performing this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. Adarsh.

Additional information

Publisher's Note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Anandalekshmi, A., Panicker, S.T., Adarsh, S. et al. Modeling the concurrent impact of extreme rainfall and reservoir storage on Kerala floods 2018: a Copula approach. Model. Earth Syst. Environ. 5, 1283–1296 (2019). https://doi.org/10.1007/s40808-019-00635-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40808-019-00635-6

Keywords

Navigation