Estimating Drought Index Using Standardized Precipitation Index from 1901 to 2015, Turkey

Complete administration and decision making in the subject of water resources needs dependable forecast for drought region, duration and severity. The major objective of this study is to determine drought features which are significant for drought awareness and management using rainfall data for 115 years (1901-2015) by compute Standardized Precipitation Index (SPI) values in different time scales (1, 3, 6 and 12 months), where the SPI is used for Drought Early Warning. The drought index is founded on monthly precipitation, SPI calculated over the Turkey region 38.9637 °N and 35.2433° E, at time scales of 1, 3, 6 and 12 months for the period 1901–2015. Trends in SPI values denote that the ratio of Turkey experiencing extreme and/or severe drought provisions has different considerably through these years.

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  • Alston M, Kent J, (2004) Social impacts of drought: a report to NSW Agriculture. Centre for Rural Social Research. New South Wales (Australia): Charles Sturt University.
  • Angelidis P, Maris F, Kotsovinos N, Hrissanthou V, (2012) Computation of drought index SPI with alternative distribution functions. Water resources management, 26(9), 2453-2473.
  • Bandyopadhyay N, Bhuiyan C, Saha A, (2016) Heat waves, temperature extremes and their impacts on monsoon rainfall and meteorological drought in Gujarat, India. Natural Hazards, 82(1), 367-388.
  • Berhanu FA, JM, K.-O. (2013). Regional drought severity assessment at a basin scale in the Limpopo drainage system. Journal of Water Resource and Protection, 2013.
  • Bond NR, Lake P, Arthington, A. H. (2008). The impacts of drought on freshwater ecosystems: an Australian perspective. Hydrobiologia, 600(1), 3-16.
  • Ceylan A. (2009). Drought management plan for Ankara, Turkey. WMO's Newsletter: MeteoWorld.
  • DaMatta, F. M., & Ramalho, J. D. C. (2006). Impacts of drought and temperature stress on coffee physiology and production: a review. Brazilian Journal of Plant Physiology, 18(1), 55-81.
  • Emre, D., Turkish Inflation blow to PM Erdogan’s Santa Evita Myth, 2014, http://www.economonitor.com/emredeliveli/2014/02/09/turkish-inflation-blow-to-pm-erdogans-santa-evita-myth/
  • He B, Lü A, Wu J, Zhao L, Liu M, (2011) Drought hazard assessment and spatial characteristics analysis in China. Journal of Geographical Sciences, 21(2), 235-249.
  • http://www.world-grain.com/articles/news_home/World_Grain_News/2016/02/Turkeys_ drought_condition_affe.aspx?ID=%7B23E27926-3BDD-4334-8049-862FD99A3033%7D.
  • McKee TB, Doesken NJ, Kleist, J, (1993) The relationship of drought frequency and duration to time scales, Preprints, 8th Conference on Applied Climatology, Anaheim, CA, Amer. Meteor. Soc., 179–184.
  • Loukas A, Vasiliades L, (2004) Probabilistic analysis of drought spatiotemporal characteristics inThessaly region, Greece. Natural Hazards and Earth System Science, 4(5/6), 719-731.
  • Sivakumar, M. V., Stefanski, R., Bazza, M., Zelaya, S., Wilhite, D., & Magalhaes, A. R. (2014). High level meeting on national drought policy: summary and major outcomes. Weather and climate Extremes, 3, 126-132.
  • Tsakiris G, Loukas A, Pangalou D, Vangelis H, Tigkas D, Rossi G, Cancelliere A, (2007) Drought characterization. Drought management guidelines technical annex, 85-102.
  • Türkeş M, (2010). Klimatoloji ve meteoroloji: Kriter Yayınevi.
  • Wilhite, D. A. (2000). Drought as a natural hazard: concepts and definitions.
  • Wu H, Hayes MJ, Wilhite DA, Svoboda MD, (2005). The effect of the length of record on the standardized precipitation index calculation. Int. J. Climatology, 25, 505-520.
  • Wu H, Svoboda MD, Hayes MJ, Wilhite DA, Wen F, (2007) Appropriate application of the standardized precipitation index in arid locations and dry seasons. International Journal of Climatology, 27(1), 65-79.
  • Xu Y-P., Lin, S-J, Huang Y, Zhang Q-Q, Ran Q-H, (2011) Drought analysis using multi-scale standardized precipitation index in the Han River Basin, China. Journal of Zhejiang University-SCIENCE A, 12, 483-494.
  • Yusof F, Hui-Mean F, Suhaila J, Yusop Z, Ching-Yee K, (2014) Rainfall characterisation by application of standardised precipitation index (SPI) in Peninsular Malaysia. Theoretical and applied climatology, 115(3-4), 503-516.
  • Zhai J, Su, B, Krysanova V, Vetter T, Gao C, Jiang T, (2010) Spatial variation and trends in PDSI and SPI indices and their relation to streamflow in 10 large regions of China. J. Climate, 23, 649-663.