Investigating and evaluating some of the characteristics of severity of climatic droughts in Kerman and Shiraz meteorological stations

Document Type : Research Article

Authors

1 Assistant Professor of hydroclimatology, Yazd University, Iran

2 Master graduated from Desert Management, Yazd University, Iran

3 Associate Professor of Agriculture, Yazd University, Iran

Abstract

Among the climatic phenomena that affect communities and the environment, climatic drought is one of the most complex ones. The purpose of this research is to express some of the characteristics of climate drought, especially their severity in arid and semi-arid regions of Iran. After providing hourly data on average, maximum and minimum temperature as well as average rainfall, of Kerman and Shiraz synoptic stations which are representative of arid and semi-arid regions of the country respectively, and converting them into daily and monthly scales, the severity of climate droughts was calculated based on four SPI, RDI, SPEI and EDI indicators during the statistical period of 1965-2015 and at 5 different time steps. The efficiency of each indicator was evaluated in determining the characteristics of climate drought. The results showed that the drought severity estimated by each of the indices at different time steps in Kerman and Shiraz has the same monthly changes and fluctuations. But in each region, based on the type of climate, the index that has the highest correlation with the others at different time steps is different. So, in Kerman, RDI6 (R2=0.64) and RDI9 (R2=0.70) in Shiraz had the highest correlation (higher coefficient of determination) with other indices, and have higher efficiency for Justifying the quantitative changes of other indices. In addition, at different time steps, the SPEI in Kerman and RDI in Shiraz have good performance in determining the number of dry months. Meanwhile, in terms of the frequency of occurrence of dry months in different drought severities, the class of mild dryness (0> I> -1) with a frequency of 65% and then the moderate dryness class (1> I> -1.5) had the highest percentage Frequency, and severe dry and severe drought (I>1.5) had the lowest percentage of abundance (15%) at both stations.

Keywords

References

References (in Persian):
Alijani, Bahlul, (1392). Climates of Iran, 11th Edition, Payame Noor Publication, Tehran, 35-36.
Alijani, Bohlol, Kaviani, Mohammad Reza (2001). Principles of Climatology, Gitashenasi Publications Tehran, PP371.
Alizadeh, Amin (1385). Principles of Applied Hydrology, 19th edition, Imam Reza University Press, Mashad, pp. 187.
Farajzadeh, Manoochehr, (2007), The Drought:  Concepts and Solutions, Publication of the Geographic Organization of Iran.
Fattahi, Abrahim, and Sedaghatkerdar, Abdollah (2007). Analysis of Curves of Severity, Duration, and Frequency of Drought, Case Study of Selected Stations in Southwest of Iran, Tehran, Geography and Development, No. 9, pp. 77-90.
Forecasting of Meteorological Droughts in arid and Semi-arid regions of Iran, Master's Thesis, Yazd University.
Heidari, Hasan, Alijani, Bohlul, (1999). Climatic Classification of Iran Using statistical multi-variable techniques, Geographical Research, No. 37, pp. 74-57.
Leshnizzand, Mehran (2004). Investigating the severity, duration, and frequency of climate droughts in six areas in the west and northwest of Iran, Isfahan University of Medical Sciences, Vol. 1, pp. 73-86.
Masoudian, Abolfazl, (1391). Climates of Iran, Isfahan University Press. Isfahan, first edition, 288 pages.
Moghadasi, Mahnoosh, Morid, Saeed, Ghaemi, Hooshang, Mohammad Valii Samani, (2005). Daily Drought Monitoring in Tehran Province. Volume 36, Number 1: Iranian Journal of Agricultural Science. 62-51.
Zare Abyaneh, Hamid, Mahbubi, Ali Asghar, Neyshabouri, Mohammad Reza (2004). Study of drought condition and its trend in Hamedan region based on statistical indicators of drought, Journal of Pajouhesh and Sazandegi in Agriculture and Gardening, 64. 7-3.
Zarei, Zahra (1395). Comparative Analysis of Four Drought Indices (RDI, SPI, SPEI, EDI) in order to Detection, Evaluation and
Zarrin, Azar, Ghaemi, Houshang and Khoshakhlagh, Faramarz (1392). Climatology of Arid Lands, Samt Publishing, Tehran. The second print, 434 pages.
 
References (in English):
 Akhtari, R, Morid, S, Mahdian, M. H, and Smakhtin, V, (2009). Assessment of areal interpolation methods for spatial analysis of  SPI and EDI drought indices, International Journal of Climatology, Int. J. Climatol. 29: 135–145.
Byun H. R and Wilhite D. A. (1999). Objective quantification of drought severity and duration. International Journal of 
Climatology, Int. J. Climatol., Vol. 12: 2747-2756.
Sa'adati, Sara, and Soltani, Saeed (2006). Drought zoning in Isfahan Province Using Standard Precipitation Index, Journal of Watershed Management Sciences and Engineering, Volume 1. Number 2, Pages 64-67.
Deo, R., Byun, H.R., (2014). Quantifying the severity, duration, and intensity of drought in Australia using the effective drought 
index. J. Hydrol., 26 (2), 137-156.
Hong, WU, Hayes, M J, Welss, A, and Hu, Q, (2001). An evaluation the standardized precipitation index, the China-Z Index and
the statistical z-score, International Journal of Climatology, 21: 745-758.
Kalamaras, N., Michalopoulou, H., Byun, H.R., (2010). Detection of drought events in Greece using daily precipitation. Hydrol.
Res.41 (2), 126–133.
Khalili D, Farnoud T, Jamshidi H, Kamgar-Haghighi AA, Zand-Parsa S (2011). Comparability analyses of the SPI and RDI
meteorological drought indices in different climatic zones. Water Resour Manage 25:1737–1757.
Kim, D.W., Byun, H.R., (2009). Future pattern of Asian drought under a global warming scenario. Theor. Appl. Climatol. 98, 137–
150.
Lee, S.M., Byun, H.R., Tanaka, H.L., (2012). Spatiotemporal Characteristics of Drought Occurrences over Japan.J. Appl.
Meteorol. & Climatol. 51, 1087–1097.
 McKee, T.B, Doesken, NJ, Kleist, J (1993) The relationship of drought frequency and duration to time scales.In: Proc. 8th Conf
on ApplClimatol, 17–22 January, Am MeteorolSoc, Mass, 179–184.
McKee, TB, Doesken, NJ, and Kleist, J, (1995). Drought monitoring with multiple time scales, Ninth Conference on Applied
Climatology, American Meteorological Society, Jan 15-20, Dallas TX, pp. 233-236.
Morid S, Smakhtin VU, Moghadasi M. (2006). Comparison of seven meteorological indices for drought monitoring in Iran. Int J
Climatol 26:971–985.
Pandey, R.P., Dash, B.B., Mishra, S.K., Singh, R., (2008). Study of indices for drought characterization in KBKdistricts in Orissa
(India). Hydrol.Process. 22, 1895–1907.
Pashiardis, S, and Michaelides, S, (2008). Implementation of the standardized precipitation index (SPI) and the Reconnaissance
Drought Index (RDI) for Regional Drought Assessment: A case study for Cyprus, European water 23/24: 57-65.
Paulo, A. A & Pereira, L. S., (2008). Stochastic Prediction of Drought Class Transitions, Water Resour Manage 22:1277–1296.
Roudier, P., Mahe, G., (2010). Study of water stress and droughts with indicators using daily data on the Bani River (Niger
Basin, Mali). Int.J. Climatol. 30, 1689–1705.
Silva, V.P.R, (2003), On climate variability in northeast Brazil, Journal of Arid Environment, 54(2): 256-367.
Smakhtin, V.U., Hughes, D.A., (2004).  Review, Automated Estimation, and Analyses of Drought Indices in South Asia. Working
Paper 83, International Water Management Institute, Colombo, Sri Lanka.
Tsakiris, G, and Vangelis, H. (2005).  Establishing a drought index incorporating evapotranspiration, European water, 9-10: 3-11.
Vicente-Serrano S.M; Beguería S and López-Moreno J.I. (2010). A multi-scalar drought index sensitive to global warming: The
Standardized Precipitation Evapotranspiration Index–SPEI. J Climate 23:1696–1718.
Vinit K., Rajendra P, Manoj K, Byun H, (2015). Comparison of drought indices for appraisal of drought characteristics in the Ken
River Basin, Weather and Climate Extremes, journal homepage: www.elsevier.com/locate/wace, 1-11.
World Meteorological Organization (WMO) and Global Water Partnership (GWP), (2016): Handbook of Drought Indicators and
Indices (M. Svoboda and B.A. Fuchs). Integrated Drought Management Program (IDMP), Integrated Drought Management 
Tools and Guidelines Series 2. Geneva.

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History

  • Receive Date: 18 July 2017
  • Revise Date: 12 February 2018
  • Accept Date: 11 June 2018
  • First Publish Date: 21 March 2019
  • Publish Date: 21 March 2019

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