Analyzing the Temporal and Spatial Variability of Decade Droughts in Iran

Document Type : Original Article

Authors

1 Department of Geography, Faculty of Literature and Humanities University of Yasouj, Yasouj, Iran

2 Research Group of Biodiversity and Biosafety, Research Center for Environment and Sustainable Development (RCESD), Department of Environment, Tehran, Iran

Abstract
Introduction: Drought can occur in all climatic regions, that's why its characteristics are different in different regions. The concept of drought is a temporary disturbance and is different from with dry, because dry spells is limited to areas with little precepitation and is a permanent state of the climate of a region. Drought also occurs in dry and wet areas and is a natural state of climate. So far, not presentation exact and universal definition of the phenomenon of drought that is accepted by everyone. This phenomenon can occur in all climate and diffrent regions, that's why its characteristics are different in different regions. Researchers consider drought to be the result of a lack of rainfall over an extended period of time. In most definitions, a drought refers to a continuous and sustained period when the amount of water available in an area decreases significantly.
Materials and Methods: To conduct this research, several methods were used in several stages. in First step, daily precipitation data for the synoptic station (411-precipitation), rain gauge (3303-precipitation) and climatology (546-precipitation) have been extracted during a long-term period of 51 years, from 1970 to 2020. for interpolation we used Kriging method in time period of data. Also, 4260×18628 grid or matrix was selected for each daily precipitation map. In this way, 18,628 daily maps were formed with 30,459 cells. After forming a database, SPEI has been used to calculate the drought index. Finally, by calculating the SPEI index, a matrix with dimensions of 51*30459 was formed. After extracting this index, Mann-Kendall's method was used to investigate the trend of drought severity, and spectrum analysis was used to investigate fluctuations of drought. for analysis trend period we use Mann-Kendall model.
Results: According to the findings of this research during the first period, the drought areas of Iran are scattered in different parts of the country. During this period (1970-1990), there has been moderate and severe drought in the country. In the often of area in country has faced drought. During this period, 39% of the country experienced moderate and severe drought. In this period (1991-2010), moderate and severe drought and moderate and severe drought have prevailed in different regions of the country. The level of areas with drought in this period has increased by about 7% compared to the first period. In this period a large part of the country experienced drought and drought areas are seen scattered in the northwest, northeast, central and western regions. In the fourth period (2000-2010), against the third period, the drought has advanced to large parts of the country. The central parts of the country such as Isfahan, Yazd and Semnan occur wet condition. In Third period (2001-2020), a large part of the country is suffering from drought. against the previous period, in this period severe drought is also seen in many parts of the country.
Discussion: Drought and its degree of occurrence are not related to a specific area of the country and every part of the country will be exposed to this random phenomenon. Therefore, droughts have been increasing all over the country. The lowest increasing trend can be seen in part of center and desert areas, part of the southern coast, west, northwest and also small areas in the northeast. The highest increasing trend of droughts is also seen in the southwest of the country in Khuzestan province.

Keywords

Subjects


  1. Abramowitz, M. and Stegun., I.A., 1965.Handbook of Mathematical Functions. Dover Publications, New York.
  2. Akinremi, O.O., McGinn, S.M., and Barr, A.G., 1996. Evaluation of the Palmer drought index on the Canadian prairies. Journal of Climate, 9(5), 897-905.
  3. Ali, M., Gul, A., Hasan, H., Gul, S., Fareed, A., Nadeem, M., Jamil, M. 2020. Cellular mechanisms of drought tolerance in wheat. Climate change and food security with emphasis on wheat, 155-167.
  4. Alijani, B., and Babaei, S., 2007. Spatial analysis of short-term droughts in Iran, geography and regional planning. 4(5), pp.25-48.
  5. Alizade, Z. 2005. Selenium in lemon balm plants: Productivity, phytotoxicity and drought alleviation. Journal of Plant Nutrition, 40(11), 1557-1568.
  6. Allen, K.J., Ogden, J., Buckley, B.M., Cook, E.R. and Baker, P.J., 2011. The potential to reconstruct broadscale climate indices associated with southeast Australian droughts from Athrotaxis species, Tasmania. Climate Dynamics 37: 1799-1821.
  7. Asakere, H. and Razmi, R., 2018. Analysis of annual rainfall changes in northwest Iran, Journal of Geography and Environmental Planning, 47, 5-12. [in persian].
  8. Azadi, S., Soltani, S., Faramarzi, M. and Pourmanafi, S., 2017. Recalibration of Palmer drought index in Iran, Iranian water research journal, volume 12, 21-36. [in persian].
  9. Bahmanpour, H., Awhadi, S., Enjili, J., Eslamian, S. and Ostad-Ali-Askari, K., 2017. Optimizing AbsorbentBentonite and Evaluation of Contaminants Removal from Petrochemical Industries Wastewater.International Journal of Constructive Research in Civil Engineering (IJCRCE), 3(2): 34-42.
  10. Carrão, H., Naumann, G. and Barbosa, P., 2016. Mapping global patterns of drought risk: An empirical framework based on sub-national estimates of hazard, exposure and vulnerability. Global Environmental Change, 39, 108-124.
  11. Cortez, F., Monicelli, F., Cavalcante, H. and Becker, V., 2023. Effects of prolonged drought on water quality after drying of a semiarid tropical reservoir, Brazil. Limnologica, 93, 125959.
  12. Daneshmand, H. and Mahmoudi, P., 2015. Spectral analysis of droughts in Iran, Iran Geophysics Journal, 4, 23-34. (In Persian With Englisha Abstract).
  13. Daryabari, S., 2018. Zoning of Iran's droughts in the past fifty years, Daneshnameh (Geography),. 82, 10-22. (In Persian With Englisha Abstract).
  14. Dimitrova, A. 2021. Seasonal droughts and the risk of childhood undernutrition in Ethiopia. World Development, 141(3), pp. 105417.
  15. Dostan, R., 2018. an analysis of drought research in Iran, spatial analysis of environmental hazards, 6th year, number, 4, 12-18. (In Persian With Englisha Abstract).
  16. 2022. Food and Agriculture Organization of the United Nations: The State of Food Insecurity in the World report3.
  17. Fathizadeh, H., Gholaminia, A., Mobin, M.H. and Sodaizadeh, H., 2016. Investigating the relationship between meteorological drought and solar variables in some observational stations of Iran, Natural Environment Hazards, 12, 15-25. (In Persian With Englisha Abstract).
  18. Folger, P. F., & Cody, B. A. 2017. Drought in the United States: Causes and current understanding. Congressional Research.
  19. Ghorbani, K., Valizadeh, E., and Bararkhanpour, S., 2018, investigation of spatio-temporal change trend of bivariate SPEI meteorological drought index in Iran, Desert Management Journal, 11, pp. 25-38.
  20. Hao, Z., Hao, F., Singh, V. P., & Zhang, 2018. Changes in the severity of compound drought and hot extremes over global land areas.EnvironmentalResearch Letters, 13(12), p.109 - 124.
  21. Hardy, J., 2012. Climate change causes, effects and solutions, translated by Lili Khazandari, Mansoura Kohi, Shahzad Kandahari and Mehdi Asiai, Papli Publications, second edition. (In Persian With Englisha Abstract).
  22. Hareem, M., Danish, S., Obaid, S.A., Ansari, M.J. and Datta, R., 2024. Mitigation of drought stress in chili plants (Capsicum annuum L.) using mango fruit waste biochar, fulvic acid and cobalt. Scientific Reports, 14(1), 14-
  23. Hosking, J.R.M., 1986. The theory of probability weighted moments. Res. Rep. RC 12210 IBM Research Division, Yorktown Heights NY
  24. Hosking, J.R.M., 1990. L-Moments: Analysis and estimation of distributions using linear combinations of order statistics. Journal of Royal Statistical Society B, 52: 105-124.
  25. Jahanbakhsh, S., Ashrafi, S. and Asakere, H., 2021. Investigating the decadal changes of rainfall systems affecting the Yellow River catchment, Geography and Planning,75, 1-12. (In Persian With Englisha Abstract).
  26. Javed, T., Li, Y., Rashid, S., Li, F., Hu, Q., Feng, H. and Pulatov, B., 2021. Performance and relationship of four different agricultural drought indices for drought monitoring in China's mainland using remote sensing data. Science of the total environment, 759, 143530.
  27. Jiang, R., Xie, J., He, H., Luo, J. and Zhu, J., 2015. Use of four drought indices for evaluating drought characteristics under climate change in Shaanxi, China: 1951–2012. Natural Hazards, 75(3), 2885-2903.
  28. , Xu, T., Xiao, J., Liu, S., Mao, K., Song, L., ... & Feng, H. 2024. Responses of water use efficiency to drought in southwest China. Remote Sensing, 12(1), 199.
  29. Karimi Nazar, M.; Moghadamnia, A., and Masaedi, A., 2005, "Investigation of climatic factors affecting the occurrence of drought (case study: Zabul region)", Water and Soil Conservation Research (Agricultural Sciences and Natural Resources), 17(1), p.145-
  30. Kazemzadeh, M., Nouri, Z., Moghadamnia, A. and Malekian, A., 2014. Classification and analysis of intensity and duration of surface water flow droughts (case study: Ilam), Watershed Management Research Journal, 12. 14-25. (In Persian With Englisha Abstract).
  31. Kebede, A., Kang, M.S. and Bekele, E., 2019. Advances in mechanisms of drought tolerance in crops, with emphasis on barley. Advances in Agronomy, 156, 265-314.
  32. Keshavarz, M., Karmi, E., & Zamani, G., 2011. Vulnerability of farmer households to drought: a case study, Journal of Agricultural Education and Extension Sciences of Iran, 6 (2), pp.15-33.
  33. Khan, H.M., Aslam, M.F., Waseem, M., Abbasi, H.K.J., Iftikhar, A. and Haq, F.U., 2024. Evaluating satellite-based precipitation products for spatiotemporal drought analysis. Journal of Arid Environments, 224, 105225.
  34. Lana, X., Martı ´nez, M.D., Serra, C. and Burguen˜o, A., 2005. Periodicities and irregularities of indices describing the daily pluviometric regime of the Fabra Observatory (NE Spain) for the years 1917–1999, Theor. Appl. Climatol. 82: 183–198.
  35. Maffakheri, A., Khalidi, S., Shamsipour, A., Fallahi, M. and Kermani, A., 2015. Drought analysis using NDVI index in Qorveh and Dehgolan Plains, Applied Research in Geographical Sciences, 41, 94 -77. (In Persian With Englisha Abstract).
  36. Mahmoudi, P., Rigi, A. and Kamak, M.M., 2019. A comparative study of precipitation-based drought indices with the aim of selecting the best index for drought monitoring in Iran. Theoretical and Applied Climatology;137(3):3123-38(In Persian With Englisha Abstract).
  37. Miryaghoubzadeh, M., Khosravi, S.A. and Zabihi, M., 2019. A Review of Drought Indices and their Performance. Journal of Water and Sustainable Development6(1), 103-112.
  38. Moezenzadeh, R., Arshad, S., Hero, B. and Davari, K., 2018. Dry spraying in non-aqueous tuber culture using remote sensing technology, Water and Irrigation Management Journal, 2, 39-52. [in persian].
  39. Montazeri, M., 2016. Identifying and analyzing the trend of climatic droughts under Zayandeh Rood basin in the last half century, Geographical Research, 22, 12-24. (In Persian With Englisha Abstract).
  40. Mosaedi, A. and Qabaei, S., 2013. Determining drought and drought events based on the multivariable scalogram model and examining the relationship between the most extreme events and the threshold values of precipitation, Iran Hydrological Research, 43,.4- (In Persian With Englisha Abstract).
  41. Nasaji Zavareh, M. and Heydari., H., 2000. The six-step process of reducing the effects of drought, Drought and Drought Quarterly of Agriculture, 3, 12-25. (In Persian With Englisha Abstract).
  42. Nasaji Zavareh, M., Khurshid Dost, A., Rasouli, A. and Selajgeh, A., 2015. Analysis of temperature and precipitation trends using homogeneous time series (case study of the Caspian region), Pasture and Watershed Journal Resources, Natural,21, 752-739. (In Persian With Englisha Abstract).
  43. Oladosu, Y., Rafii, M. Y., Samuel, C., Fatai, A., Magaji, U., Kareem, I., ... & Kolapo, K. 2019. Drought resistance in rice from conventional to molecular breeding: a review. International journal of molecular sciences, 20(14), 35-49.
  44. Panu, U.S. and Sharma, T.C., 2002. Challenges in drought research: some perspectives and future directions. Hydrological Sciences Journal, 47(S1), S19-S30.
  45. Ramezani Gourabi, B., 2014. investigation of the drought phenomenon using the normal percentage of rainfall index in the central areas of Gilan, Biyaban, period 10, number 2.
  46. Raposo, V.D.M.B., Costa, V.A.F. and Rodrigues, A.F., 2023. A review of recent developments on drought characterization, propagation, and influential factors. Science of the Total Environment, 165550.
  47. Reddy, G.S., Prabhu, C.N., Kamepalli, L.B. and Jagadeesh, S., 2021. Effect of Drought on Development of Children: Field Observations from the Drought-Prone District of Deccan Plateau of Southern India. In Economic Effects of Natural Disasters (pp. 359-372). Academic Press.
  48. Salehvand, A., Montazeri, M. and Momeni, M., 2014. Drought zoning with SPI, PNI, DI, CZI indicators of the cities of Khuzestan province in the GIS environment", Zagros Geographical Quarterly, 17, 35-52. (In Persian With Englisha Abstract). (In Persian With Englisha Abstract).
  49. Salimi, H., Asadi, E. and Darbandi, S., 2021. Meteorological and hydrological drought monitoring using several drought indices. Applied Water Science, 11, 1-10. (In Persian With Englisha Abstract).
  50. Salimi, H., Asadi, E. and Darbandi, S., 2021. Meteorological and hydrological drought monitoring using several drought indices. Applied Water Science, 11, 1-10. [in persian].
  51. Salvia, M., Sanchez, N., Piles, M., Ruscica, R., Gonzalez-Zamora, A., Roitberg, E. and Martinez-Fernandez, J., 2021 The added-value of remotely-sensed soil moisture data for agricultural drought detection in Argentina. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
  52. Shah, D. and Mishra, V., 2020. Integrated Drought Index (IDI) for drought monitoring and assessment in India. Water Resources Research, 56(2), e2019WR026284.
  53. Shashikanth, K., Madhusoodhanan C.G., Subimal, T., Eldho, K., Rajendran, Raghu., 2014. Comparing statistically downscaled simulations of indian monsoon at different spatial resolution journal of hydrology 51(2). Pp. 3163–3177.
  54. Singh, V.P. and Guo., F.X.Y., 1993. Parameter estimation for 3-parameter log-logistic distribution (LLD3) by Pome. Stochastic Hydrology and Hydraulics 7, 163-177.
  55. Smakhtin, V.U. and Hughes, D.A., 2004. Review, automated estimation and analyses of drought indices in South Asia.
  56. TajBakhsh, S., Khani, I., Kazemi, A., 2015. Evaluation of meteorological drought in Iran using standardized precipitation and evapotranspiration index (SPEI), Earth and Space Physics, 41(2), 21.
  57. Thornthwaite, C.W., 1948. An approach toward a rational classification of climate. Geographical Review 38, 55-94.
  58. UNEP at the climate COP28. 2024. The COP28 UN Climate Change Conference in Dubai, section 3, pp.42-65.
  59. Verhoeven, E., Wardle, G.M., Roth, G.W. and Greenville, A.C., 2022. Characterising the spatiotemporal dynamics of drought and wet events in Australia. Science of The Total Environment Volume 846.
  60. Vicente-Serrano, S.M., Begueria, S., Gimeno, L., Eklundh, L. and Giuliani, G., 2012. Challenges for drought mitigation in Africa: The potential use of geospatial data and drought information systems. Applied Geography, 34(3). 471-486.
  61. Wang, Q., Zhang, R. and Qi, J., 2022. An improved daily standardized precipitation index 609 dataset for mainland China from 1961 to 2018[J]. Scientific Data, 9(1): 610 124.
  62. Wen, Q., Hu, Y., Song, J., Liu, Y., Cao, Z. and Liang, Z., 2024. Drought Risk in Water Source and Receiving Regions of the Middle Route Project of South-to-North Water Diversion In China from Drought Duration at Different Drought Levels. Available at SSRN 4851168.
  63. West, H., Quinn, N. and Horswell, M., 2019. Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities. Remote Sensing of Environment, 232, 111291.
  64. Wilhite, D.A. and Glantz, M.H., 1985. Understanding: the drought phenomenon: the role of definitions. Water international, 10(3), 111-120.
  65. Wu, Y., Li, L. and Liu, Z., 2021. Real-time control of the middle route of south-to-north 619 water diversion project[J]. Water, 2021, 13(1): 97.
  66. Zare Abianeh, H., 2013. Investigating the role of climate and drought factors on the yield variability of four rainfed crops in Mashhad and Birjand, water and soil science, 23, 32-41. (In Persian With Englisha Abstract).
  67. Zare Abyaneh, H., 2013. Evaluating roles of drought and climatic factors on variability of four dry farming yields in Mashhad and Birjand. Water and Soil Science, 23(1), 39-56.