Environmental Processes

, Volume 4, Issue 3, pp 683–696 | Cite as

Evaluating the Characteristics of Multiyear Extreme Droughts in Semi-Arid Regions

Original Article

Abstract

Following the unconditional definition of drought events, this study presents general mathematical expressions that can be used to evaluate the occurrence probability and the return period of multiyear drought events of extreme magnitude evolved after truncating low order dependent hydrological or meteorological processes. The drought magnitude was fitted using the gamma distribution and the drought run length was defined unconditionally regardless where the run starts as long as it satisfies the continuity. Considering the joint analysis of the drought magnitude and the run length, the characteristics of the multiyear drought of extreme magnitude achieved theoretically was found to match well with empirical results obtained after analyzing the simulated and historical precipitation. After truncating the annual rainy season precipitation for Madaba region in Jordan, the 6-year extreme historical drought that occurred in 1958–1963 was a rare event recurring every 226 years. In the semi-arid region of Madaba, meteorological drought events of a short duration, 2–3 years, and a precipitation deficit of 149 mm or less are frequent events with 7–10 years return period, while events of 4 years or more, tested at deficit threshold of 149 mm, are less frequent events regardless of their magnitude.

Keywords

Drought Occurrence probability Return period Sustainable resources 

References

  1. Akyuz D, Bayazit M, Onoz B (2013) Markov chain models for hydrological drought characteristics. J Hydrometeorol 13(1):298–309CrossRefGoogle Scholar
  2. Alqadi K, Kumar L (2014) Water policy in Jordan. Int J Water Resour Dev 30(2):322–334CrossRefGoogle Scholar
  3. Barua S, Perera B, Ng A, Tran D (2010) Drought forecasting using an aggregated drought index and artificial neural network. Water and Climate Change 1(3):193–206CrossRefGoogle Scholar
  4. Biondi F, Kozubowski T, Panorska A (2005) A new model for quantifying climate episodes. Int J Climatol 25:1253–1264CrossRefGoogle Scholar
  5. Blenkinsop S, Fowler H (2007) Changes in drought frequency, severity and duration for the British isles projected by the PRUDENCE regional climate models. J Hydrol 342:50–71CrossRefGoogle Scholar
  6. Bonaccorso B, Peres D, Cancelliere A, Rossi G (2013) Large scale probabilistic drought characterization over Europe. Water Resour Manag 27(6):1675–1692CrossRefGoogle Scholar
  7. Byun H, Wilhite D (1999) Objective quantification of drought severity and duration. J Clim 12:2747–2756CrossRefGoogle Scholar
  8. Cancelliere A, Salas J (2010) Drought probabilities and return period for annual streamflows series. J Hydrol 391:77–89CrossRefGoogle Scholar
  9. Gonzalez J, Valdes J (2003) Bivariate drought analysis using tree ring reconstruction. J Hydrol Eng 8(4):247–257CrossRefGoogle Scholar
  10. Halwatura D, Lechner A, Arnold S (2015) Drought severity–duration–frequency curves: a foundation for risk assessment and planning tool for ecosystem establishment in post-mining landscapes. Hydrol Earth Syst Sci 19:1069–1091CrossRefGoogle Scholar
  11. van Huijgevoot M, van Lanen H, Teuling A, Uijlenhoet R (2014) Identification of changes in hydrological drought characteristics from a multi-GCM driven ensemble constrained by observed discharge. J Hydrol 512:421–434CrossRefGoogle Scholar
  12. Lee T, Modarres R, Ouarda T (2013) Data-based analysis of bivariate copula tail dependence for drought duration and severity. Hydrol Process 27:1454–1463CrossRefGoogle Scholar
  13. Loaiciga H, Michaelsen J, Garver S, Haston L, Leipnik R (1992) Droughts in river basins of the Western United States. Geophys Res Lett 19(20):2051–2054CrossRefGoogle Scholar
  14. Mishra A, Singh V, Desai V (2009) Drought characterization: a probabilistic approach. Stoch Env Res Risk A 23:41–55CrossRefGoogle Scholar
  15. Murthy C, Singh J, Kumar P, Sesha Sai M (2016) Meteorological drought analysis over India using analytical framework on CPC rainfall time series. Nat Hazards 81:573–587CrossRefGoogle Scholar
  16. Nalbantis I, Tsakiris G (2009) Assessment of hydrological drought revisited. Water Resour Manag 23:881–897CrossRefGoogle Scholar
  17. Rossi G, Cancelliere A (2003) At-site and regional drought identification by REDIM model. In: Rossi G et al (eds) Tools for drought mitigation in Mediterranean regions. Kluwer Academic Publishers, The NetherlandsGoogle Scholar
  18. Rossi G, Cancelliere A (2013) Managing drought risk in water supply systems in Europe: a review. Int J Water Resour Dev 29(2):272–289CrossRefGoogle Scholar
  19. Salas J, Fu C, Cancelliere A, Dustin D, Bode D, Pineda A, Vincent E (2005) Characterizing the severity and risk of drought in the Poudre River, Colorado. J Water Resour Plan Manag 131(5):383–393CrossRefGoogle Scholar
  20. Schwager J (1983) Run probabilities in sequences of Markov-dependent trials. J Am Stat Assoc 78(381):168–175CrossRefGoogle Scholar
  21. Serinaldi F, Bonaccorso B, Cancelliere A, Grimaldi S (2009) Probabilistic characterization of drought properties through copulas. Phys Chem Earth 34(10–12):596–605CrossRefGoogle Scholar
  22. Sharma T, Panu U (2013) Predicting drought magnitudes: a parsimonious model for Canadian hydrological droughts. Water Resour Manag 27(3):649–664CrossRefGoogle Scholar
  23. Shiau J (2006) Fitting drought duration and severity with two-dimensional copulas. Water Resour Manag 20(5):795–815CrossRefGoogle Scholar
  24. Shiau J, Shen H (2001) Recurrence analysis of hydrologic droughts of different severity. J Water Resour Plan Manag 127(1):30–40CrossRefGoogle Scholar
  25. Tabari H, Zamani R, Rahmati H, Willems P (2015) Markov chains of different orders for streamflow drought analysis. Water Resour Manag 29(9):3441–3457CrossRefGoogle Scholar
  26. Tarawneh Z (2011) Water supply in Jordan under drought conditions. Water Policy 13(6):863–876CrossRefGoogle Scholar
  27. Tigkas D, Tsakiris G (2015) Early estimation of drought impacts on rainfed wheat yield in Mediterranean climate. Environmental Processes 2:97–114CrossRefGoogle Scholar
  28. Tigkas D, Vangelis H, Tsakiris G (2017) An enhanced effective reconnaissance drought index for the characterisation of agricultural drought. Environmental Processes. doi:10.1007/s40710-017-0219-x
  29. Tsakiris G, Loukas A, Pangalou D, Vangelis H, Tigkas D, Rossi G, Cancelliere A (2007) Drought characterization [Part 1. Components of drought planning. 1. 3. Methodological component]. In: Iglesias A, Moneo M, López-Francos A (eds) Drought management guidelines technical annex. Zaragoza : CIHEAM / EC MEDA Water, 2 007. p 85–1 02 (Options Méditerranéennes, Series B, No. 58)Google Scholar
  30. Tsakiris G, Nalbantis I, Vangelis H, Verbeiren B, Huysmans M, Tychon B, Jacquemin I, Canters F, Vanderhaegen S, Engelen G, Poelmans L, De Becker P, Batelaan O (2013) A system-based paradigm of drought analysis for operational management. Water Resour Manag 27:5281–5297CrossRefGoogle Scholar
  31. Wong G, van Lanen H, Torfs P (2013) Probabilistic analysis of hydrological drought characteristics using meteorological drought. Hydrol Sci J 58(2):253–270CrossRefGoogle Scholar
  32. Woodhouse C (2003) A 431-yr reconstruction of western Colorado snowpack from tree rings. J Clim 16:1551–1561CrossRefGoogle Scholar
  33. Yevjevich V (1967) An objective approach to definitions and investigations of continental hydrologic droughts. Hydrology paper 23, Colorado State University, Fort Collins, ColoradoGoogle Scholar

Copyright information

© Springer International Publishing AG Switzerland 2017

Authors and Affiliations

  1. 1.Department of Civil EngineeringHashemite UniversityZarqaJordan

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