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Water Resources Management

, Volume 31, Issue 15, pp 4957–4969 | Cite as

A Novel Multi-Scalar Drought Index for Monitoring Drought: the Standardized Precipitation Temperature Index

  • Zuliqar Ali
  • Ijaz Hussain
  • Muhammad Faisal
  • Hafiza Mamona Nazir
  • Mitwali Abd-el Moemen
  • Tajammal Hussain
  • Sadaf Shamsuddin
Article

Abstract

Nowadays human beings are facing many environmental challenges because of frequently occurring drought hazards. Several adverse impacts of drought hazard are continued in many parts of the world. Drought has a substantial influence on water resources and irrigation. It may effect on the country’s environment, communities, and industries. Therefore, it is important to improve drought monitoring system. In this paper, we proposed a novel method – Standardized Precipitation Temperature Index (SPTI) for drought monitoring that utilize the regional tempreature. We compared the performance of our proposed drought index – SPTI with commonly used drought indices (i.e., Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI)) for 17 meteorological stations of Khyber Pakhtunkhwa (KPK) province (Pakistan) that have both extreme (arid and humid) climatic environment. We found that SPTI is strongly correlated with SPI and performed better than SPEI in low temperature regions for drought monitoring. In summary, SPTI is recommended for detecting and monitoring the drought conditions over different time scales.

Keywords

Drought hazard Probability distributions Estimation SPI SPEI Khyber Pakhtunkhwa 

Notes

Acknowledgements

The Authors are grateful to Alaa Mohamd Shoukry, Muhammad Yousaf Shad, and Showkat Gani for their valuable comments to improve the manuscript. The authors are thankful to the Deanship of Scientific Research, King Saud University, Riyadh Saudi Arabia for funding research through research group project RGP-280.

References

  1. Abramowitz M, Stegun IA (2012) Handbook of mathematical functions: with formulas, graphs, and mathematical tables. Courier Dover Publications, New YorkGoogle Scholar
  2. Anderson TW, Darling DA (1952) Asymptotic theory of certain" goodness of fit" criteria based on stochastic processes. Ann Math Stat 23:193–212CrossRefGoogle Scholar
  3. Aswathanarayana U (2001) Water resources management and the environment, CRC PressGoogle Scholar
  4. Awan SA (2002) The climate and flood risk potential of northern areas of Pakistan. Science Vision 7(3–4):100–109Google Scholar
  5. Beguera S, Vicente-Serrano SM, Reig F, Latorre B (2014) Standardized precipitation evapotranspiration index (SPEI) revisited: parameter fitting, evapotranspiration models, tools, datasets and drought monitoring. Int J Climatol 34(10):3001–3023CrossRefGoogle Scholar
  6. Bhalme HN, Mooley DA (1980) Large-scale droughts/floods and monsoon circulation. Mon Weather Rev 108(8):1197–1211CrossRefGoogle Scholar
  7. De Martonne E (1926) L’indice d’aridité. Bulletin de l’Association de géographes français 3(9):3–5Google Scholar
  8. Donald AW (1994) Preparing for drought: a guidebook for developing countries. Diane Books Publishing Company, Pennsylvania, p 7–8Google Scholar
  9. Dracup JA, Lee KS, Paulson EG (1980) On the definition of droughts. Water Resour Res 16(2):297–302CrossRefGoogle Scholar
  10. Gibbs WJ (1967) Rainfall deciles as drought indicators. Bureau of Meteorology, AustraliaGoogle Scholar
  11. Hao Z, Agha Kouchak A (2014) A nonparametric multivariate multi-index drought monitoring framework. J Hydrometeorol 15(1):89–101CrossRefGoogle Scholar
  12. Hao Z, Singh VP (2015) Drought characterization from a multivariate perspective: a review. J Hydrol 527:668–678CrossRefGoogle Scholar
  13. Jensen ME, Burman RD, Allen RG (1990) Evapotranspiration and irrigation water requirements. American Society of Civil Engineers, New YorkGoogle Scholar
  14. Joetzjer E, Douville H, Delire C, Ciais P, Decharme B, Tyteca S (2013) Hydrologic benchmarking of meteorological drought indices at interannual to climate change timescales: a case study over the amazon and mississippi river basins. Hydrol Earth Syst Sci 17(12):4885–4895CrossRefGoogle Scholar
  15. Justel A, Peña D, Zamar R (1997) A multivariate kolmogorov-smirnov test of goodness of fit. Statistics & Probability Letters 35(3):251–259CrossRefGoogle Scholar
  16. Kao S-C, Govindaraju RS (2010) A copula-based joint deficit index for droughts. J Hydrol 380(1):121–134CrossRefGoogle Scholar
  17. Karamouz M, Rasouli K, Nazif S (2009) Development of a hybrid index for drought prediction: case study. J Hydrol Eng 14(6):617–627CrossRefGoogle Scholar
  18. Keyantash JA, Dracup JA (2004) An aggregate drought index: assessing drought severity based on fluctuations in the hydrologic cycle and surface water storage. Water Resour Res 40(9):W0930CrossRefGoogle Scholar
  19. Koleva E, Alexandrov V (2008) Drought in the bulgarian low regions during the 20th century. Theor Appl Climatol 92(1–2):113–120CrossRefGoogle Scholar
  20. Li B, Liang Z, Zhang J, Wang G (2016) A revised drought index based on precipitation and pan evaporation. Int J Climatol. doi: 10.1002/joc.4740
  21. McKee TB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration to time scales. In: Proceedings of the 8th conference on applied climatology, volume 17. American Meteorological Society Boston, MA, pp 179–183Google Scholar
  22. Mishra A, Desai V (2006) Drought forecasting using feed-forward recursive neural network. Ecol Model 198(1):127–138CrossRefGoogle Scholar
  23. Niemeyer S et al (2008) New drought indices. Water Manage 80:267–274Google Scholar
  24. Palmer WC (1965) Meteorological drought. US Department of Commerce, Weather Bureau Washington, DC, USAGoogle Scholar
  25. Palmer WC (1968) Keeping track of crop moisture conditions, nationwide: the new crop moisture index. Weatherwise 21:156–161Google Scholar
  26. Papadopoulou E, Varanou E, Baltas E, Dassaklis A, Mimikou M (2003) Estimating potential evapotranspiration and its spatial distribution in greece using empirical methods. In Proc,. 8th Int. Conf. on Environmental Science and Technology, pages 650–658Google Scholar
  27. Schittkowski K (2002) Easy-fit: a software system for data fitting in dynamical systems. Struct Multidiscip Optim 23(2):153–169CrossRefGoogle Scholar
  28. Schneider SH, Root TL, Mastrandrea MD (2011) Encyclopedia of climate and weather, volume 1. Oxford University Press, OxfordCrossRefGoogle Scholar
  29. Seneviratne SI, Nicholls N, Easterling D, Goodess CM, Kanae S, Kossin J, Luo Y, Marengo J, McInnes K, Rahimi M et al (2012) Changes in climate extremes and their impacts on the natural physical environment. Managing the risks of extreme events and disasters to advance climate change adaptation, pages 109–230Google Scholar
  30. Shafer B, Dezman L (1982) Development of a surface water supply index (swsi) to assess the severity of drought conditions in snowpack runoff areas. In proceedings of the western snow conference, volume 50, pages 164–175Google Scholar
  31. Sheffield J, Wood EF, Roderick ML (2012) Little change in global drought over the past 60 years. Nature 491(7424):435–438CrossRefGoogle Scholar
  32. Smakhtin VU, Schipper ELF (2008) Droughts: the impact of semantics and perceptions. Water Policy 10(2):131–143CrossRefGoogle Scholar
  33. Sohrabi MM, Ryu JH, Abatzoglou J, Tracy J (2015) Development of soil moisture drought index to characterize droughts. J Hydrol Eng 20(11):04015025Google Scholar
  34. Stagge JH, Tallaksen LM, Xu CY, Van Lanen HAJ (2014) Standardized precipitation-evapotranspiration index (SPEI): sensitivity to potential evapotranspiration model and parameters. Proceedings of FRIEND-Water, 367–373Google Scholar
  35. Svoboda M, LeComte D, Hayes M, Heim R, Gleason K, Angel J, Rippey B, Tinker R, Palecki M, Stooksbury D et al (2002) The drought monitor. Bull Am Meteorol Soc 83(8):1181–1190CrossRefGoogle Scholar
  36. Svoboda MD, Fuchs BA, Poulsen CC, Nothwehr JR (2015) The drought risk atlas: enhancing decision support for drought risk management in the united states. J Hydrol 526:274–286CrossRefGoogle Scholar
  37. Tsakiris G, Loukas A, Pangalou D, Vangelis H, Tigkas D, Rossi G, Cancelliere A (2007) Drought characterization. Drought management guidelines technical annex, Chapter 7. Options Méditérr 58:85–102Google Scholar
  38. Van der Schrier G, Jones PD, Briffa KR (2011) The sensitivity of the pdsi to the thornthwaite and Penman-Monteith parameterizations for potential evapotranspiration. J Geophys Res-Atmos 116(D3). doi: 10.1029/2010JD015001
  39. Van Rooy M (1965) A rainfall anomaly index independent of time and space. Notos 14:43–48Google Scholar
  40. Van Wijk W, De Vries D (1954) Evapotranspiration. Neth J 2:105–119Google Scholar
  41. Vicente-Serrano SM, López-Moreno JI, Van der Hurk B (2005) Hydrological response to different time scales of climatological drought: an evaluation of the standardized precipitation index in a mountainous mediterranean basin. Hydrol Earth Syst Sci 9(5):523–533CrossRefGoogle Scholar
  42. Vicente-Serrano SM, Beguera S, López-Moreno JI (2010) A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. J Clim 23(7):1696–1718CrossRefGoogle Scholar
  43. Vicente-Serrano SM, Van der Schrier G, Beguera S, Azorin-Molina C, Lopez-Moreno J-I (2015) Contribution of precipitation and reference evapotranspiration to drought indices under different climates. J Hydrol 526:42–54CrossRefGoogle Scholar
  44. Watkins A (2003) Planning for drought. In New Mexico water planning conference proceedings. New Mexico water resources research institute report, number 326Google Scholar
  45. Wilhite DA (2000) Drought as a natural hazard: concepts and definitions. Drought, a Global Assessment 1:3–18Google Scholar
  46. Wilhite DA, Glantz MH (1985) Understanding: the drought phenomenon: the role of definitions. Water Int 10(3):111–120CrossRefGoogle Scholar
  47. Yates D, Strzepek K (1994) Potential evapotranspiration methods and their impact on the assessment of river basin runoff under climate change. WP-94-46. International Institute for Applied Systems Analysis (IIASA), Laxenburg, pp 28Google Scholar
  48. Zargar A, Sadiq R, Naser B, Khan FI (2011) A review of drought indices. Environ Rev 19(NA):333–349CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2017

Authors and Affiliations

  1. 1.Department of Statistics, Quaid-i-Azam UniversityIslamabadPakistan
  2. 2.Faculty of Health StudiesUniversity of BradfordBradfordUK
  3. 3.Bradford Institute for Health ResearchBradford Teaching Hospitals NHS Foundation TrustBradfordUK
  4. 4.College of Law and Political ScienceKing Saud UniversityRiyadhSaudi Arabia
  5. 5.Department of StatisticsCOMSATS Institute of Information TechnologyLahorePakistan
  6. 6.College of Business AdministrationKing Saud UniversityRiyadhSaudi Arabia

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