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Environmental Science and Pollution Research

, Volume 25, Issue 31, pp 30772–30786 | Cite as

Drought analysis in the Eastern Nile basin using the standardized precipitation index

  • Mohamed Elkollaly
  • Mosaad Khadr
  • Bakenaz Zeidan
Environmental Pollution: Problems and Solutions

Abstract

Drought is considered by many researchers to be the most complex but least understood of all natural hazards, affecting more people than any other hazard. Drought affects many aspects of community and environment, and any future increases in the water demand will be most critical in periods of severe drought. Geospatial analysis of the historical drought events and their causes can be used to mitigate drought impacts and to develop preparedness plans. This study aimed to identify the changes in drought frequency, magnitude, duration, and intensity in the Eastern Nile basin during the period 1965–2000, using the standardized precipitation index (SPI). An SPI program based on C sharp language was developed to monitor drought in the study area. Twenty-eight meteorological stations distributed on the Eastern Nile basin were chosen to collect monthly precipitation data. For drought analysis, SPI series of 3-, 6-, 9-, 12-, and 24-month timescales have been calculated. Results showed that the study area received several drought events during the long rainy season (June to September) and the short rainy season (March to May) as well. Annual analysis of SPI time series indicated that the study area received several drought events, and the most severity event was during the year 1984.

Keywords

Meteorological drought Precipitation Eastern Nile basin Standardized precipitation index Geographical information system 

References

  1. Amer SE-D, Arsano Y, El-Battahani A, Hamad OE-T, Hefny MAE-M, Tamrat I, Mason SA (2005) Sustainable development and international cooperation in the eastern Nile Basin. Aquat Sci 67:3–14. doi: 10.1007/s00027-004-0764-z CrossRefGoogle Scholar
  2. Balint Z, Mutua F, Muchiri P, Omuto CT (2013) Chapter 23—monitoring drought with the combined drought index in Kenya. In: Paolo Paron DOO, Christian Thine O (eds) Developments in earth surface processes, vol Volume 16. Elsevier, pp 341–356. doi: 10.1016/B978-0-444-59559-1.00023-2 Google Scholar
  3. Bhalme HN, Mooley DA (1980) Large-scale droughts/floods and monsoon circulation. Mon Weather Rev 108:1197–1211. doi: 10.1175/1520-0493(1980)108<1197:LSDAMC>2.0.CO;2 CrossRefGoogle Scholar
  4. Brown CM, Magary C (1998) Extreme heat and drought. In: the disaster handbook: 1998 national edition. Volume 1. University of Florida. Cooperative Extension Service. Institute of Food and Agricultural Sciences, Gainesville, FLGoogle Scholar
  5. Camberlin P (2009) Nile Basin Climates. In: Dumont HJ (ed) The Nile: origin, environments, limnology and human use. Springer, Dordrecht, pp 307–333. doi: 10.1007/978-1-4020-9726-3_16 CrossRefGoogle Scholar
  6. El-Din M. (2013) Proposed climate change adaptation strategy for the ministry of water resources & irrigation in Egypt. UNESCO-Cairo OfficeGoogle Scholar
  7. Gibbs W, Maher JV (1967) Rainfall deciles as drought indicators. Bureau of Meteorology, MelbourneGoogle Scholar
  8. Hamouda M, Nour El-Din MM, Moursy FI (2009) Vulnerability assessment of water resources systems in the Eastern Nile Basin. Water Resour Manag 23:2697–2725. doi: 10.1007/s11269-009-9404-7 CrossRefGoogle Scholar
  9. Hayes M, Svoboda MD, Wilhite DA, Vanyarkho OV (1999) Monitoring the 1996 drought using the standardized precipitation index. Bull Am Meteorol Soc 80:429–438. doi: 10.1175/1520-0477(1999)080<0429:MTDUTS>2.0.CO;2 CrossRefGoogle Scholar
  10. Hilhorst B., Burke J, Hoogeveen J, Frenken K, Marc J, Gross G (2011) Information products for Nile Basin water resources management. Synthesis reportGoogle Scholar
  11. Hollinger S., Isard S., Welford M. (1993) A new soil moisture drought index for predicting crop yields. In: Preprints, Eighth Conference on Applied Climatology. pp 187–190Google Scholar
  12. Heim RR Jr (2002) A review of twentieth-century drought indices used in the United States. Bull Am Meteorol Soc 83:1149–1165. doi: 10.1175/1520-0477(2002)083<1149:AROTDI>2.3.CO;2 CrossRefGoogle Scholar
  13. Kasei R, Diekkrüger B, Leemhuis C (2009) Drought frequency in the Volta Basin of West Africa. Sustain Sci 5:89–97. doi: 10.1007/s11625-009-0101-5 CrossRefGoogle Scholar
  14. Khadr M, Morgenschweis G, Schlenkhoff A (2009) Analysis of meteorological drought in the Ruhr basin by using the standardized precipitation index. World Acad Sci Eng Technol 57:607–616Google Scholar
  15. Khadr M (2011) Water resources management in the context of drought: an application to the Ruhr River basin in Germany. Bericht - Lehr- Und Forschungsgebiet Wasserwirtschaft Und Wasserbau, WuppertalGoogle Scholar
  16. Khadr M., Schlenkhoff A (2015) Analysis of spatial and temporal variability of meteorological drought vulnerability in the Blue Nile river basin. In: E-proceedings of the 36th IAHR world congress, The Hague, the NetherlandsGoogle Scholar
  17. Khadr M (2016) Temporal and spatial analysis of meteorological drought characteristics in the upper Blue Nile river region. Hydrol Res. doi: 10.2166/nh.2016.194 CrossRefGoogle Scholar
  18. Lloyd-Hughes B, Saunders MA (2002) A drought climatology for Europe. Int J Climatol 22:1571–1592. doi: 10.1002/joc.846 CrossRefGoogle Scholar
  19. Masih I, Maskey S, Mussá FEF, Trambauer P (2014) A review of droughts on the African continent: a geospatial and long-term perspective. Hydrol Earth Syst Sci 18:3635–3649. doi: 10.5194/hess-18-3635-2014 CrossRefGoogle Scholar
  20. McKee T., Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration to timescales. In: Proceedings of the 8th Conference on Applied Climatology, vol 22. American Meteorological Society Boston, MA, USA, pp 179–183Google Scholar
  21. McKee, T., Doesken, NJ, Kleist, J (1995) Drought monitoring with multiple timescales. In: Proceedings of the 9th Conference on Applied Climatology. American Meteorological Society Dallas, Boston, MA, pp 233–236Google Scholar
  22. Meyer SJ (1990) The development of a crop specific drought index for corn Dissertation Abstracts International B, Sciences and Engineering 51Google Scholar
  23. Mishra AK, Singh VP (2010) A review of drought concepts. J Hydrol 391:202–216. doi: 10.1016/j.jhydrol.2010.07.012 CrossRefGoogle Scholar
  24. Mussá FEF, Zhou Y, Maskey S, Masih I, Uhlenbrook S (2015) Groundwater as an emergency source for drought mitigation in the Crocodile River catchment. South Africa Hydrol Earth Syst Sci 19:1093–1106. doi: 10.5194/hess-19-1093-2015 CrossRefGoogle Scholar
  25. Naresh Kumar M, Murthy CS, Sesha Sai MVR, Roy PS (2009) On the use of standardized precipitation index (SPI) for drought intensity assessment. Meteorol Appl 16:381–389. doi: 10.1002/met.136 CrossRefGoogle Scholar
  26. Palmer WC (1965) Meteorological drought vol 30. US Department of Commerce, Weather Bureau, WashingtonGoogle Scholar
  27. Palmer WC (1968) Keeping track of crop moisture conditions. Nationwide: The New Crop Moisture Index Weatherwise 21:156–161. doi: 10.1080/00431672.1968.9932814 CrossRefGoogle Scholar
  28. Rouault M, Richard Y (2005) Intensity and spatial extent of droughts in southern Africa. Geophys Res Lett 32:n/a-n/a doi: 10.1029/2005GL022436
  29. Santos JF, Pulido-Calvo I, Portela MM (2010) Spatial and temporal variability of droughts in Portugal Water Resour Res 46:n/a-n/a doi: 10.1029/2009WR008071
  30. Shafer BA, Dezman LE (1982) Development of a surface water supply index (SWSI) to assess the severity of drought conditions in snowpack runoff areas. Western Snow Conference, Reno, NevadaGoogle Scholar
  31. Sigdel M, Ikeda M (2011) Spatial and temporal analysis of drought in Nepal using standardized precipitation index and its relationship with climate indices. Journal of Hydrology and Meteorology 7:16. doi: 10.3126/jhm.v7i1.5617 CrossRefGoogle Scholar
  32. Sönmez FK, Kömüscü AÜ, Erkan A, Turgu E (2005) An analysis of spatial and temporal dimension of drought vulnerability in Turkey using the standardized precipitation index. Nat Hazards 35:243–264. doi: 10.1007/s11069-004-5704-7 CrossRefGoogle Scholar
  33. Trambauer P, Maskey S, Werner M, Pappenberger F, van Beek LPH, Uhlenbrook S (2014) Identification and simulation of space–time variability of past hydrological drought events in the Limpopo River basin, southern Africa. Hydrol Earth Syst Sci 18:2925–2942. doi: 10.5194/hess-18-2925-2014 CrossRefGoogle Scholar
  34. Tsakiris G, Vangelis H (2005) Establishing a drought index incorporating evapotranspiration. European Water 9:3–11Google Scholar
  35. Van Rooy M (1965) A rainfall anomaly index independent of time and space. Notos 14:6Google Scholar
  36. Vicente-Serrano SM, Beguería S, López-Moreno JI (2010) A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. J Clim 23:1696–1718. doi: 10.1175/2009JCLI2909.1 CrossRefGoogle Scholar
  37. Wang W, Chen X, Shi P, Gelder V, PHAJM (2008) Detecting changes in extreme precipitation and extreme streamflow in the Dongjiang River basin in southern China. Hydrol Earth Syst Sci Discuss 12:207–221CrossRefGoogle Scholar
  38. Wu H, Hayes MJ, Weiss A, Hu Q (2001) An evaluation of the standardized precipitation index, the China-Z index and the statistical Z-score. Int J Climatol 21:745–758. doi: 10.1002/joc.658 CrossRefGoogle Scholar
  39. Wu H, Hayes MJ, Wilhite DA, Svoboda MD (2005) The effect of the length of record on the standardized precipitation index calculation. Int J Climatol 25:505–520. doi: 10.1002/joc.1142 CrossRefGoogle Scholar
  40. Zargar A, Sadiq R, Naser B, Khan FI (2011) A review of drought indices. Environ Rev 19:333–349. doi: 10.1139/a11-013 CrossRefGoogle Scholar
  41. Zhang Q, Xu C-y, Gemmer M, Chen YD, Liu C (2009a) Changing properties of precipitation concentration in the Pearl River basin. China Stochastic Environmental Research and Risk Assessment 23:377–385. doi: 10.1007/s00477-008-0225-7 CrossRefGoogle Scholar
  42. Zhang Q, Xu C-Y, Zhang Z (2009b) Observed changes of drought/wetness episodes in the Pearl River basin, China, using the standardized precipitation index and aridity index. Theor Appl Climatol 98:89–99. doi: 10.1007/s00704-008-0095-4 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Mohamed Elkollaly
    • 1
  • Mosaad Khadr
    • 1
  • Bakenaz Zeidan
    • 1
  1. 1.Hydraulics and Irrigation Engineering Department, Faculty of EngineeringTanta UniversityTantaEgypt

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