Abstract
Drought analysis has gained great importance owning to recent global warming and climate change. Because of the importance of the Khuzestan province in agriculture and economy of Iran, a semi-arid country, this research evaluates its meteorological drought severity. The data from 40 meteorological stations in the period of 1954 to 2016 were collected and used for this purpose. Standard Precipitation Index (SPI) has been used for assessing the 3-, 6-, 9-, and 12-month time scales meteorological droughts. For regional drought analysis, the linear momentum method is used and after selection of the best regional probability distribution, SPI was calculated at each meteorological station for different return periods and time scales. The results indicated that severe and extreme droughts may occur in west, east, and south of the Khuzestan province in the near future. Also, while the severity of drought is less in north of the Khuzestan province, the probability of occurrence of severe and extreme droughts in central zone of the Khuzestan province (e.g., Ahvaz) is less than other regions.
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References
Angelidis P, Maris F, Kotsovinos N, Hrissanthou V (2012) Computation of drought index SPI with alternative distribution functions. Water Resour Manag 26(9):2453–2473. https://doi.org/10.1007/s11269-012-0026-0
Arroyo Á, Herrero Á, Tricio V, Corchado E (2017) Analysis of meteorological conditions in Spain by means of clustering techniques. J Appl Logic 24(Part B):76–89. https://doi.org/10.1016/j.jal.2016.11.026
Belayneh A, Adamowski J, Khalil B (2016) Short-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet transforms and machine learning methods. Sustain Water Resour Manag 2(1):87–101. https://doi.org/10.1007/s40899-015-0040-5
Bonaccorso B, Cancelliere A, Rossi G (2015) Probabilistic forecasting of drought class transitions in Sicily (Italy) using Standardized Precipitation Index and North Atlantic Oscillation Index. J Hydrol 526:136–150. https://doi.org/10.1016/j.jhydrol.2015.01.070
Dabanlı İ, Mishra AK, Şen Z (2017) Long-term spatio-temporal drought variability in Turkey. J Hydrol 552:779–792. https://doi.org/10.1016/j.jhydrol.2017.07.038
Du J, Fang J, Xu W, Shi P (2013) Analysis of dry/wet conditions using the standardized precipitation index and its potential usefulness for drought/flood monitoring in Hunan Province, China. Stoch Env Res Risk A 27(2):377–387. https://doi.org/10.1007/s00477-012-0589-6
Edwards DC, McKee TB (1997) Characteristics of 20th century drought in the United States at multiple time scales. Atmospheric Science Paper No. 634, Climatology Report 97–2, Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado, 155 p
Gocic M, Trajkovic S (2014) Spatiotemporal characteristics of drought in Serbia. J Hydrol 510:110–123. https://doi.org/10.1016/j.jhydrol.2013.12.030
Golian S, Mazdiyasni O, Kouchak AA (2015) Trends in meteorological and agricultural droughts in Iran. Theor Appl Climatol 119(3–4):679–688. https://doi.org/10.1007/s00704-014-1139-6
Guttman NB (1999) Accepting the standardized precipitation index: a calculation algorithm. J Am Water Res Assoc 35(2):311–322. https://doi.org/10.1111/j.1752-1688.1999.tb03592.x
Homdee T, Pongput K, Kanae S (2016) A comparative performance analysis of three standardized climatic drought indices in the Chi River basin, Thailand. Agric Nat Resour 50(3):211–219. https://doi.org/10.1016/j.anres.2016.02.002
Hosking JRM (1990) L-moments: analysis and estimation of distributions using linear combinations of order statistics. J R Stat Soc B Met 52(1):105–124 http://www.jstor.org/stable/2345653
Hosking JRM, Wallis JR (1997) Regional frequency analysis: an approach based on L-moments. Cambridge University Press, New York 224 p
Iyigun C, Türkeş M, Batmaz İ, Yozgatligil C, Purutçuoğlu V, Koç EK, Öztürk MZ (2013) Clustering current climate regions of Turkey by using a multivariate statistical method. Theor Appl Climatol 114(1–2):95–106. https://doi.org/10.1007/s00704-012-0823-7
Katsanos D, Retalis A, Tymvios F, Michaelides S (2018) Study of extreme wet and dry periods in Cyprus using climatic indices. Atmos Res 208:88–93. https://doi.org/10.1016/j.atmosres.2017.09.002
Liang Y, Liu S, Guo Y, Hua H (2017) L-moment-based regional frequency analysis of annual extreme precipitation and its uncertainty analysis. Water Resour Manag 31(12):3899–3919. https://doi.org/10.1007/s11269-017-1715-5
Lilienthal J, Fried R, Schumann A (2018) Homogeneity testing for skewed and cross-correlated data in regional flood frequency analysis. J Hydrol 556:557–571. https://doi.org/10.1016/j.jhydrol.2017.10.056
Malekinezhad H, Zare-Garizi A (2014) Regional frequency analysis of daily rainfall extremes using L-moments approach. Atmósfera 27(4):411–427. https://doi.org/10.1016/S0187-6236(14)70039-6
Mathbout S, Lopez-Bustins JA, Martin-Vide J, Bech J, Rodrigo FS (2018) Spatial and temporal analysis of drought variability at several time scales in Syria during 1961–2012. Atmos Res 200:153–168. https://doi.org/10.1016/j.atmosres.2017.09.016
McKee TB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration to time scales. Proc., 8th Conf. Appl. Clim., American Meteorological Society, Boston: 179–184
Moreira EE (2016) SPI drought class prediction using log-linear models applied to wet and dry seasons. Phys Chem Earth Pts A/B/C 94:136–145. https://doi.org/10.1016/j.pce.2015.10.019
Ortega-Gómez T, Pérez-Martín MA, Estrela T (2018) Improvement of the drought indicators system in the Júcar River Basin, Spain. Sci Total Environ 610-611:276–290. https://doi.org/10.1016/j.scitotenv.2017.07.250
Paulo A, Martins D, Pereira LS (2016) Influence of precipitation changes on the SPI and related drought severity. An analysis using long-term data series. Water Resour Manag 30(15):5737–5757. https://doi.org/10.1007/s11269-016-1388-5
Pettitt AN (1979) A non-parametric approach to the change-point problem. J Roy Stat Soc C-App 28(2):126–135. https://doi.org/10.2307/2346729
Rad AM, Ghahraman B, Khalili D, Ghahremani Z, Ardakani SA (2017) Integrated meteorological and hydrological drought model: a management tool for proactive water resources planning of semi-arid regions. Adv Water Resour 107:336–353. https://doi.org/10.1016/j.advwatres.2017.07.007
Roodposhti MS, Safarrad T, Shahabi H (2017) Drought sensitivity mapping using two one-class support vector machine algorithms. Atmos Res 193:73–82. https://doi.org/10.1016/j.atmosres.2017.04.017
Shah R, Bharadiya N, Manekar V (2015) Drought index computation using standardized precipitation index (SPI) method for Surat District, Gujarat. Aquat Procedia 4:1243–1249. https://doi.org/10.1016/j.aqpro.2015.02.162
Shrestha NK, Qamer FM, Pedreros D, Murthy MSR, Wahid SM, Shrestha M (2017) Evaluating the accuracy of climate hazard group (CHG) satellite rainfall estimates for precipitation based drought monitoring in Koshi basin, Nepal. J Hydrol: Reg Stud 13:138–151. https://doi.org/10.1016/j.ejrh.2017.08.004
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(2):243–264. https://doi.org/10.1007/s11069-004-5704-7
Tongal H, Sivakumar B (2017) Cross-entropy clustering framework for catchment classification. J Hydrol 552:433–446. https://doi.org/10.1016/j.jhydrol.2017.07.005
Wang W, Zhu Y, Xu R, Liu J (2015) Drought severity change in China during 1961–2012 indicated by SPI and SPEI. Nat Hazards 75(3):2437–2451. https://doi.org/10.1007/s11069-014-1436-5
Yin Y, Chen H, Xu CY, Xu W, Chen C, Sun S (2016) Spatio-temporal characteristics of the extreme precipitation by L-moment-based index-flood method in the Yangtze River Delta region, China. Theor Appl Climatol 124(3–4):1005–1022. https://doi.org/10.1007/s00704-015-1478-y
Zhang Q, Xu CY, Zhang Z (2009) Observed changes of drought/wetness episodes in the Pearl River basin, China, using the standardized precipitation index and aridity index. Theor Appl Climatol 98(1–2):89–99. https://doi.org/10.1007/s00704-008-0095-4
Acknowledgements
The required data for this research has been provided by Dr. Reza Zamani, the Iranian Ministry of Energy, the Khuzestan Water & Power Authority (KWPA) and the Iran Meteorological Organization. The authors would like to thank for their contribution to this research.
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Adib, A., Marashi, S.S. Meteorological drought monitoring and preparation of long-term and short-term drought zoning maps using regional frequency analysis and L-moment in the Khuzestan province of Iran. Theor Appl Climatol 137, 77–87 (2019). https://doi.org/10.1007/s00704-018-2572-8
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DOI: https://doi.org/10.1007/s00704-018-2572-8