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Drought Monitoring by Reconnaissance Drought Index (RDI) in Iran

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Abstract

Drought is one of the most important natural hazards in Iran and frequently affects a large number of people, causing tremendous economic losses, environmental damages and social hardships. Especially, drought has a strong impact on water resources in Iran. This situation has made more considerations toward the study and management of drought. The present study is focused on two important indices; SPI and RDI, for 3, 6, 9, 12, 18 and 24 months time scales in 40 meteorological synoptic stations in Iran. In the case of RDI computation, potential evapotranspiration was an important factor toward drought monitoring. So, evapotranspiration was calculated by Penman-Monteith equation. The correlation of RDI and SPI was also surveyed. Drought severity maps for SPI and RDI were also presented in the driest year (1999–2000). The present results have shown that the correlation of SPI and RDI was more considerable in the 3, 6 and 9 months than longer time scales. Furthermore, drought severity maps have shown that during 1999–2000, the central, eastern and south-eastern parts of Iran faced extremely dry conditions. While, according to SPI and RDI trends, other parts of the country suffered from severe drought. The SPI and RDI methods showed approximately similar results for the effect of drought on different regions of Iran. Since, RDI resolved more climatic parameters, such as evapotranspiration, into account which had an important role in water resource losses in the Iranian basins, it was worthwhile to consider RDI in drought monitoring in Iran, too.

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References

  • Abramowitz M, Stegun IA (1965) Handbook of mathematical functions: with formulas, graphs, and mathematical tables. Applied Mathematics Series - 55, Washington D.C

  • Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration, FAO Irrigation and Drainage Paper 56. Food and Agriculture Organization, Rome

    Google Scholar 

  • Badripour H (2007) Role of drought monitoring and management in NAP implementation. In: Mannava et al (eds) Climate and land degradation. Springer, The Netherlands

    Google Scholar 

  • CRDE (2003) The Centre for Research on the Epidemiology of Disasters. Disasters Database. http://www.cred.be/emdat/intro.htm. Universite Catholique de Louvain – Brussels – Belgium

  • Dinpashoh Y, Fakheri-Fard A, Moghaddam M, Jahanbakhsh S, Mirnia M (2004) Selection of variables for the purpose of regionalization of Iran’s precipitation climate using multivariate methods. J Hydrol 297:109–123

    Article  Google Scholar 

  • Doorenbos J, Kassam AH (1986) Yield response to water. Yield response to water, Irrigation and Drainage Paper 33. Food and Agriculture Organisation, Rome

    Google Scholar 

  • Doorenbos J, Pruitt OW (1977) Crop water requirements. FAO Irrigation and Drainage Paper 24. Food and Agriculture Organisation, Rome

    Google Scholar 

  • Dracup JA, Lee KS, Paulson EG (1980) On the statistical characteristics of drought events. Water Resour Res 16:289–296

    Article  Google Scholar 

  • Droogers P, Allen RG (2002) Estimating reference evapotranspiration under inaccurate data conditions. Irrig Drain Syst 16:33–45

    Article  Google Scholar 

  • Edwards DC, McKee TB (1997) Characteristics of 20th century droughts in the United States at multiple time scales. Climatology Report, 97–2, Department of Atmospheric Sciences. Colorado State University, Fort Collins, p 155

    Google Scholar 

  • Environmental System Research Institute (2004) ArcMap 9.1. Environmental Systems Research Institute, Redlands

  • Fischer G, Van Velthuizen H, Nachtergaele (2000) Global agro-ecological zones assessment. International Institute for Applied Systems Analysis, Laxenburg

    Google Scholar 

  • Guttmann NB (1998) Comparing the Palmer drought index and the standardized precipitation index. J Am Water Resour Assoc 34:113–121

    Article  Google Scholar 

  • Hargreaves GL, Samani ZA (1982) Estimating potential evapotranspiration. J Irrig Drain EngASCE 108(3):225–230

    Google Scholar 

  • Hayes MJ (2000) Revisiting the SPI: clarifying the process. Drought Network News, A Newsletter of the International Drought Information Center and the National Drought Mitigation Center 12/1 (Winter 1999–Spring 2000), 13–15

  • Isaaks HE, Srivastava RM (1989) An introduction to applied geostatisitics. Oxford University Press, New York

    Google Scholar 

  • Jensen ME, Burman RD, Allen RG (1990) Evaporation and irrigation water requirements. ASCE Manuals and Reports on Engineering Practices, New York

    Google Scholar 

  • Journel AG, Huijbregts CJ (1981) Mining geostatistics. Academic, New York

    Google Scholar 

  • Kim T, Valdes JB, Aparicio J (2002) Frequency and spatial characteristics of droughts in the Conchos River Basin, Mexico. Water Int 27(3):420–430

    Article  Google Scholar 

  • Loukas A, Vasiliades L (2004) Probabilistic analysis of drought spatiotemporal characteristics in Thessaly Region, Greece. Nat Hazards Earth Syst Sci 4:719–731

    Article  Google Scholar 

  • McKee TB, Doeskin NJ, Kleist J (1993) The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference on Applied Climatology, Anaheim, CA, January 17–23, 1993. American Meteorological Society. Boston, MA, pp 179–184

  • McKee TB, Doeskin NJ, Kleist J (1995) Drought monitoring with multiple time scales, January 15–20, 1995. American Meteorological Society, Proceeding of The 9th Conference on Applied Climatology, Boston, pp 233–236

  • Mendicino G, Senatore A, Versace P (2008) A Groundwater Resource Index (GRI) for drought monitoring and forecasting in a mediterranean climate. J Hydrol 357:282–302

    Article  Google Scholar 

  • Mishra AK, Desai VR (2005) Drought forecasting using stochastic models. Stochast Environ Res Risk Assess 19:326–339

    Article  Google Scholar 

  • Monteith JL (1965) Evaporation and the environment. The state and movement of water in living organisms. Cambridge University Press, Swansea, pp 205–234

    Google Scholar 

  • Nicholson SE, Davenport ML, Malo AR (1990) A comparison of the vegetation response to rainfall in the Sahel and east Africa, using normalized difference vegetation index from NOAA-AVHRR. Clim Change 17(2–3):209–241

    Article  Google Scholar 

  • Obasi GOP (1994) WMO’s role in the international decade for natural disaster reduction. Bull Amer Meteor Soc 75:1655–1661

    Article  Google Scholar 

  • Oliver MA, Webster R (1990) Kriging: a method of interpolation for geographical information system. Int J Geogr Inf Syst 4(3):313–332

    Article  Google Scholar 

  • Pickup G (1998) Desertification and climate change—the Australian perspective. Clim Res 11:51–63

    Article  Google Scholar 

  • Raziei T, Saghafian B, Paulo AA, Pereira LS, Bordi I (2009) Spatial patterns and temporal variability of drought in western Iran. Water Resour Manag 23:439–455

    Article  Google Scholar 

  • Rossi G (2000) Drought mitigation measures: a comprehensive framework. In: Voght JV, Somma F (eds) Drought and drought mitigation in Europe. Kluwer, Dordrecht

    Google Scholar 

  • Shahabfar A, Eitzinger J (2008) Spatial and temporal analysis of drought in Iran by using drought indices, European Meteorological Society (EMS),7th European Conference on Applied Climatology (ECAC)(EMS2008), Amsterdam, The Netherlands, SEP 29th–OCT 3rd, 2008

  • Smith M (1992) Expert consultation on revision of FAO methodologies for crop water requirements. Land and Water Development Division, Food and Agriculture Organisation, Rome

    Google Scholar 

  • 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

    Article  Google Scholar 

  • Tsakiris G, Vangelis H (2004) Towards a Drought Watch System based on spatial SPI. Water Resour Manag 18(1):1–12

    Article  Google Scholar 

  • Tsakiris G, Vangelis H (2005) Establishing a Drought Index incorporating evapotranspiration. European Water 9/10:3–11

    Google Scholar 

  • Tsakiris G, Pangalou D, Tigkas D, Vangelis H (2007a) Assessing the areal extent of drought. Water resources management: new approaches and technologies, european water resources association, Chania, Crete - Greece, 14–16 June

  • Tsakiris G, Pangalou D, Vangelis H (2007b) Regional drought assessment based on the Reconnaissance Drought Index (RDI). Water Resour Manag 21(5):821–833

    Article  Google Scholar 

  • Tsakiris G, Nalbantis I, Pangalou D, Tigkas D, Vangelis H (2008) Drought meteorological monitoring network design for the Reconnaissance Drought Index (RDI), 1st International Conference “Drought Management: Scientific and Technological Innovations”, Zaragoza – Spain

  • UNEP (1992) World Atlas of desertification. Edward Arnold, London

    Google Scholar 

  • UNESCO (1979) Map of the world distribution of arid regions. Explanatory note. Man and Biosphere (MAB)

  • van Beers WCM, Kleijnen JPC (2004) Kriging interpolation in simulation: a survey. In: Ingalls RG, Rossetti

  • Wilhite D (2000) Drought preparedness in the U.S. In: Vogt JV, Somma F (eds) Drought and drought mitigation in Europe. Kluwer, The Netherlands, pp 119–132

    Google Scholar 

  • Wilhite DA, Glantz MH (1985) Understanding the drought phenomenon: the role of definations. Water Int 10:111–120

    Article  Google Scholar 

  • Wilhite DA, Hayes MJ, Svodoba MD (2000) Drought monitoring and assessment in the U.S. In: Voght JV, Somma F (eds) Drought and drought mitigation in Europe. Kluwers, Dordrecht

    Google Scholar 

  • Xu CY, Singh VP (2001) Evaluation and generalization of temperature based methods for calculating evaporation. Hydrol Process 15:305–319

    Article  Google Scholar 

  • Zimmerman D, Pavlik C, Ruggles A, Armstrong MP (1999) An experimental comparison of ordinary and universal kriging and inverse distance weighting. Math Geol 31(4):375–390

    Article  Google Scholar 

Download references

Acknowledgements

The authors greatly acknowledge the financial supports of Yazd University, provided for running the present project. Furthermore, authors greatly appreciate the technical support of Management Center for Strategic Projects in Fars Organization Centre of Jahad-Agriculture of Iran.

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Correspondence to Mohammad Amin Asadi Zarch.

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Asadi Zarch, M.A., Malekinezhad, H., Mobin, M.H. et al. Drought Monitoring by Reconnaissance Drought Index (RDI) in Iran. Water Resour Manage 25, 3485–3504 (2011). https://doi.org/10.1007/s11269-011-9867-1

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