Comparison of Nine Meteorological Drought Indices Over Middle Euphrates Region During Period from 1988 To 2017

  • Authors

    • Imzahim A. Alwan
    • Abdul Razzak T. Ziboon
    • Alaa G. Khalaf
    2018-11-28
    https://doi.org/10.14419/ijet.v7i4.20.27400
  • DI, Drought indices, Gamma SPI, Middle Euphrates Region, RDI

  • Abstract

    The aim of this research is compare between nine drought indices and evaluate their performance with respect to predict and monitoring drought over Middle Euphrates region during period from 1988 to 2017.These indices are RDI, Normal SPI, Gamma SPI, Log SPI, CZI, MCZI, RAI, PN, and DI.Season and annual time scale were used to calculate all indices at Dewaniya, Hilla, Karbala, Najaf, and Semawa stations. The Pearson correlation coefficient between nine drought indices were analyzed. Annual and seasonal results illustrated that the maximum value of correlation between RDI and the other indices was noted with Gamma SPI and Log SPI at all stations. In annual time scale, the correlation coefficient reached to (0.99) at all stations except Hilla station, where it reached to (0.98), while in seasonal time scale the correlation coefficient reached to (0.98) at all stations. The RDI, Gamma SPI and Log SPI indices have similarity of classes and frequencies for drought. They also have similarity of frequencies for wet but there are minimum differences between wet classes compared to other indices. The RDI, Gamma SPI and Log SPI are good indices to predict and monitoring drought in study area in comparison to other indices which mentioned above.

     

     

  • References

    1. [1] Alami M M, Hayat E & Tayfur G," Proposing a Popular Method for Meteorological Drought Monitoring in the Kabul River Basin, Afghanistan", International Journal of Advanced Engineering Research and Science (IJAERS), Vol.4, Issue 6,(2017),pp.103-110.

      [2] Al-Enezy A W, (2012)" Relationship between surface and shallow groundwater in the eastern side of shatt Al -Hilla, Iraq", MSc thesis, College of Science, University of Baghdad, Iraq.

      [3] Babu C M," Critical Appraissal OF Meteorological Drought Indices: A Case Study on the Ananthapur District", International Journal of Advanced Research, Vol. 4, Issue 3, (2016), pp.1705-1717.

      [4] Barker L J, Hannaford J, Chiverton A & Svensson C," From Meteorological to Hydrological Drought Using Standardised Indicators", Hydrology and Earth System Sciences, Vol. 20, (2016), pp. 2483–2505.

      [5] Eshghabad S M, Omidvar E & Solaimani K," Efficiency of Some Meteorological Drought Indices in Different Time Scales (Case Study: Tajan Basin, Iran)", Ecopersia J. vol. 2, No 1, (2014), pp. 441-453.

      [6] Javan K, Azizzadeh M R & Yousefi S," An Investigation and Assessment of Meteorological Drought in Lake Urmia Basin Using Drought Indices and Probabilistic Methods", Natural Environment Change J., Vol. 2, No. 2, (2016),pp.153-164.

      [7] Khan M A & Gadiwala M S," A Study of Drought over Sindh (Pakistan) Using Standardized Precipitation Index (SPI) 1951 to 2010", Pakistan Journal of Meteorology, Vol. 9, Issue 18, (2013),pp.15-22.

      [8] Kumar R, Sagar A & Bist A S," Assessment of Nagina Area of Distt. Bijnor U.P. on the Basis of Standard Precipitation Index (SPI) for drought Intensity", international journal of engineering sciences & research Technology, Vol. 5, No.10, (2016), pp.18-26.

      [9] Mokarram M & Mahmoodi A R, (2015)" Using SPI and PN indices for determination of drought in the Fars Province", Journal of Applied Hydrology, Vol. 2, No. 1, (2015), pp.49-60.

      [10] Morid S, Smakhtin V & Moghaddasi M," Comparison of Seven Meteorological Indices for Drought Monitoring in Iran", International Journal of Climatology Vol. 26, (2006),pp.971-985.

      [11] Najjar M S & Ramandi R Y," Studying & Comparing the Efficiency of 7 Meteorological Drought Indices in Droughts Risk Management (Case Study: North West Regions)", Applied Mathematics in Engineering, Management and Technology, Vol.3, No. 1, (2015), pp.131-142.

      [12] Nohegar A, Mahmoodabadi S & Norouzi A," Comparison the Suitability of SPI, PNI and DI Drought Index in Kahurestan Watershed (Hormozgan Province/South of Iran)", Journal of Environment and Earth Science, Vol.5, No.8,(2015),pp.71-77.

      [13] Samaritan J F, Pan D, Fischer L, Orlowsky B, Hernández J G, Jordan F, Haemmig C, Zhang F & Xu J," Searching for the Optimal Drought Index and Timescale Combination to Detect Drought: a Case Study from the Lower Jinsha River basin, China", Hydrology and Earth System Sciences, Vol. 22, (2018), pp.889–910.

      [14] Shah R, Manekar V L, Christian R A & Mistry N J,"Estimation of Reconnaissance Drought Index (RDI) for Bhavnagar District, Gujarat, India", International Journal of Environmental and Ecological Engineering, Vol.7, No.7,(2013),pp.507-510.

      [15] Shahabfar A & Eitzinger J,†Spatio-Temporal Analysis of Droughts in Semi-Arid Regions by Using Meteorological Drought Indicesâ€, Atmosphere journal, Vol. 4, (2013), pp. 94-112.

      [16] Soleimani H, Ahmadi H & Zehtabian G,"Comparison of temporal and spatial trend of SPI, DI and CZI as important drought indices to map using IDW Method in Taleghan watershed", Annals of Biological Research, Vol. 4, No.6, (2013), pp.46-55.

      [17] Yacoub E & Tayfur G," Evaluation and Assessment of Meteorological Drought by Different Methods in Trarza Region, Mauritania", Water Resour Manage, Vol.31, (2017), pp.825–845.

  • Downloads

  • How to Cite

    A. Alwan, I., Razzak T. Ziboon, A., & G. Khalaf, A. (2018). Comparison of Nine Meteorological Drought Indices Over Middle Euphrates Region During Period from 1988 To 2017. International Journal of Engineering & Technology, 7(4.20), 602-607. https://doi.org/10.14419/ijet.v7i4.20.27400

    Received date: 2019-02-12

    Accepted date: 2019-02-12

    Published date: 2018-11-28