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A century scale hydro-climatic variability and associated risk in Subarnarekha river basin of India

  • Aradhana YaduvanshiEmail author
  • Anand Kr Sinha
  • Kaushik Haldar
Original Article
  • 11 Downloads

Abstract

Assessment of risk caused by extreme rain plays a significant role in the management of water resources for the tropical region of India, which is solely dependent on the monsoon rainfall. In the present paper, a century scale characterisation of hydro-meteorological parameters is done to evaluate fluctuations, climatological features, long-term trend, periodicity, and sensitivity of water-balance parameters to temperature change in the Subarnarekha basin of the Eastern Gangetic plains of India. Theory of extreme value is applied to characterize risk of the extreme events in the basin. A long-term prediction of the behavior of extreme rain events is performed. At seasonal, annual, and monthly scales, it is observed that there is no long-term trend in the rainfall. Short-term fluctuations dominate the total variance of annual rainfall, which is of less than 10 years. Percentage change of water-balance parameters (actual evapotranspiration, surplus, and precipitation) AE/P and S/P are highly sensible to temperature change. Subarnarekha basin is found to be highly susceptible to extreme rainfall event with a 20 year return level of 163 mm daily rainfall.

Keywords

Rainfall Variability Water balance Sensitivity Extreme rain events Risk 

Notes

References

  1. Ajayamohan RS, Merryfield WJ, Kharin VV (2010) Increasing trend of synoptic activity and its relationship with extreme rain events over Central India. J Climate 23:1004–1013CrossRefGoogle Scholar
  2. Alpert P, Ben-Gai T, Baharad A, Benjamini Y, Yekutieli D, Colacino M, Diodato L, Ramis C, Homar V, Romero R, Michaelides S, Manes A (2002) The paradoxical increase of Mediterranean extreme daily rainfall in spite of decrease in total values, Geophys Res Lett 29(11):31.1–31.4CrossRefGoogle Scholar
  3. Annamalai H, Sooraj KP, Pillai P (2013) Global warming shifts monsoon circulation, drying South Asia. J Climate 26:2701–2718CrossRefGoogle Scholar
  4. Bhattacharya T, Aggarwal SP, Garg V (2013) Estimation of Water Balance Components of Chambal River Basin Using a Macroscale Hydrology Model. Int J Sci Res Publ 3(2):2250–3153Google Scholar
  5. Cooley D, Nychka D, Naveau P (2005) Bayesian spatial modeling of extreme precipitation return levels. J Am Stat Assoc 102(79):824–840Google Scholar
  6. Coumou D, Rahmstorf S (2012) A decade of weather extremes. Nat Clim Chang 2(7):491–496CrossRefGoogle Scholar
  7. Das Y (2015) Water balance and climatic classification of a tropical City Delhi—India. Am J Water Resour 3(5):124–146Google Scholar
  8. Dash SK, Kulkarni MA, Mohanty UC, Prasad K (2009) Changes in the characteristics of rain events in India, J Geophy Res 114:D10109.  https://doi.org/10.1029/2008JD010572,2009 CrossRefGoogle Scholar
  9. Du Y, Berndtsson R, An D, Zhang L, Hao Z, Yuan F (2017) Hydrologic response of climate change in the source region of the Yangtze River, based on water balance analysis. Water 9:115CrossRefGoogle Scholar
  10. Fauchereau N, Trzaska S, Roualt M, Richard Y (2003) Rainfall variability and changes in southern Africa during the 20th century in the global warming context. Nat Hazards 29:139–154CrossRefGoogle Scholar
  11. Goswami BN, Venugopal V, Sengupta D, Madhusoodanan MS, Prince KX (2006) Increasing trend of extreme rain events over India in a warming environment, Science 314(5804):1442–1445CrossRefGoogle Scholar
  12. Huang J, van den Dool HM, Georgakakos KG (1996) Analysis of model-calculated soil moisture over the US (1931–1993) and applications to long-range temperature forecasts. J Climate 9:1350–1362CrossRefGoogle Scholar
  13. IPCC “Climate Change (2014) Synthesis Report Summary for Policymakers”. Available online at: https://www.ipcc.ch/pdf/assessment-report/ar5/syr/AR5_SYR_FINAL_SPM.pdf
  14. Jaswal AK, Prakasa Rao GS, De US (2008) Spatial and temporal characteristics of evaporation trends over India during 1971–2000. Mausam 59(2):149–158Google Scholar
  15. Jhajhari D, Shrivastava SK, Sarkar D, Sarkar S (2009) Temporal characteristics of pan evaporation trends under the humid conditions of northeast India. Agric For Meteorol 149(5):763–770CrossRefGoogle Scholar
  16. Katz RW (1999) Extreme value theory for precipitation: sensitivity analysis for climate change. AdvWater Resour 23:133–139Google Scholar
  17. Krishnan R, Sabin TP, Ayantika DC, Kitoh A, Sugi M, Murakam H, Turner A, Slingo JM, Rajendran K (2013) Will the South Asian monsoon overturning circulation stabilize any further? Clim Dyn 40:187–211CrossRefGoogle Scholar
  18. Kumar KK, Kumar KR, Rakhecha PR (1987) Comparison of Penman and Thornthwaite methods of estimating potential evapotranspiration for. Indian Cond Theor Appl Climatol 38:140–146CrossRefGoogle Scholar
  19. Lamoureux S (2000) Five centuries of interannual sediment yield and rainfall-induced erosion in the Canadian High Arctic recorded in lacustrine varves. Water Resour Res 36:309–318CrossRefGoogle Scholar
  20. Lehner F, Wahl ER, Wood AW, Douglas B (2017) Assessing recent declines in Upper Rio Grande runoff efficiency from a paleoclimate perspective. Geophys Res Lett 44(9):4124–4133CrossRefGoogle Scholar
  21. Mandal C, Mandal DK, Srinias C, Sehgal J, Velayutham M (1999) Soil-climatic database for crop planning in India, NBSS Publ. No.53. Natioanl Bureau of Soil Survey and Land Use Planning, NagpurGoogle Scholar
  22. Mirza MMQ, Warrick RA, Ericksen NJ (2003) The implications of climate change on floods of the Ganges, Brahmaputra and Meghna rivers in Bangladesh. Clim Change 57(3):287–318CrossRefGoogle Scholar
  23. Mitra AK, Bohra AK, Rajeevan MN, Krishnamurti TN (2009) Daily Indian precipitation analyses formed from a merge of rain-gauge with TRMM TMPA satellite derived rainfall estimates. J Meteor Soc Jpn 87A:265–279CrossRefGoogle Scholar
  24. Mittal N, Mishra A, Singh R, Kumar P (2014) Assessing future changes in seasonal climatic extremes in the Ganges river basin using an ensemble of regional climate models. Clim Chang 123(2):273–286.  https://doi.org/10.1007/s10584-014-1056-9 CrossRefGoogle Scholar
  25. Niu SL, Luo YQ, Li DJ, Cao SH, Xia JY, Li JW, Smith MD (2014) Plant growth and mortality under climatic extremes: an overview. Environ Exp Bot 98:13–19.  https://doi.org/10.1016/j.envexpbot.2013.10.004 CrossRefGoogle Scholar
  26. Niyogi D, Kishtawal C, Tripathi S, Govindaraju RS (2010) Observational evidence that agricultural intensification and land use change may be reducing the Indian summer monsoon rainfall. Water Reso Res (03510.01029/02008wr007082)Google Scholar
  27. Pal I, Al-Tabbaa A (2010) Regional changes in extreme monsoon rainfall deficit and excess in India. Dyn Atmos Oceans 49(2):206–214CrossRefGoogle Scholar
  28. Rajeevan M, Bhate J, Kale JD, Lal B (2006) High resolution daily gridded rainfall data for the Indian region: Analysis of break and active monsoon spells, Curr Sci 91Google Scholar
  29. Rao CR (1952) Advanced statistical methods in biometric research. Wiley, New YorkGoogle Scholar
  30. Richard WK, Parlange MB, Philippe N (2002) Statistics of extremes in hydrology. Adv Water Resour 25:1287–1304CrossRefGoogle Scholar
  31. Roy SS, Balling RC (2004) Trends in extreme daily precipitation indices in India. Int J Climatol 24(4):457–466CrossRefGoogle Scholar
  32. Schickedanz PT, Bowen EG (1977) The computation of climatological power spectra. J Appl Meteorol 16:359–367CrossRefGoogle Scholar
  33. Singh D, Tsiang M, Rajaratnam B, Diffenbaugh NS (2014) Observed changes in extreme wet and dry spells during the south Asian summer monsoon season. Nat Clim Change 4:456–461CrossRefGoogle Scholar
  34. Sontakke NA, Singh N (1996) Longest instrumental regional and all-India summer monsoon rainfall series using optimum observations: reconstruction and update. Holocene 6:315–331CrossRefGoogle Scholar
  35. Sontakke NA, Singh N, Singh HN (2008) Instrumental period rainfall series of the Indian region (18132005): revisedre construction, update and analysis. Holocene 17:1055–1066CrossRefGoogle Scholar
  36. Sreedevi PD (2002) Climatic water balance and droughts of Pageru River Basin, Cuddapah District, Andhra Pradesh. Environ Geol 42(6):681–689CrossRefGoogle Scholar
  37. Thornthwaite CW, Mather JR (1957) Instructions and tables for computing potential evapotranspiration and the waterbalance: Centeron, N.J., Laboratory of Climatology. Publ Climatol 10(3):185–311Google Scholar
  38. Trenberth K, Smith EL, Qian T, Dai A, Fasullo J (2007) Estimates of the global water budget and its annual cycle using observational and model data. J Hydrometeor 8:758–769CrossRefGoogle Scholar
  39. Vellore RK, Krishnan R, Pendharkar J, Choudhary AD, Sabin TP (2014) On the anomalous precipitation enhancement over the Himalayan foothills during monsoon breaks. Clim Dyn 43:2009–2031.  https://doi.org/10.1007/s00382-013-2024-1 CrossRefGoogle Scholar
  40. Villarini G, Smith JA, Serinaldi F, Ntelekos AA, Schwarz U (2012) Analyses of extreme flooding in Austria over the period 1951–2006. Int J Climatol 32(8):1178–1192CrossRefGoogle Scholar
  41. Wilks DS (2011) Statistical methods in the atmospheric sciences (Vol. 100). Academic press, CambridgeGoogle Scholar
  42. WMO (World Meteorological Organizatioin) 1966 Climate change,WMO Technical Note No. 79, WMO No. 195-TP-100, GenevaGoogle Scholar
  43. Yaduvanshi A, Ranade A (2015) Effect of Global Temperature Changes on Rainfall Fluctuations Over River Basins across Eastern Indo-Gangetic Plains. Aquatic Proc 4:721–729CrossRefGoogle Scholar
  44. Yaduvanshi A, Ranade A (2017) Long-term rainfall variability in the eastern gangetic plain in relation to global temperature change. Atmos Ocean 55(2):94–109CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.W-CReS (The WOTR center for Resilience Studies)Waterhsed Organisation TrustPuneIndia
  2. 2.Center of Excellence in ClimatologyBirla Institute of TechnologyRanchiIndia
  3. 3.Civil and Environmental EngineeringBirla Institute of TechnologyRanchiIndia
  4. 4.Department of MathematicsRanchi UniversityRanchiIndia

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