Meteorological drought monitoring using several drought indices (case study: Salt Lake Basin in Iran)

Authors

  • A. Kouroshniya Desert Management Dept., International Desert Research Center (IDRC), University of Tehran , Tehran, Iran
  • A. Molaei Atani Faculty of Agricultural Economics and Development, University of Tehran, Karaj, Iran
  • Azam AbolhasaniZarjo Desert Management Dept., International Desert Research Center (IDRC), University of Tehran , Tehran, Iran
  • Behnaz Asefjah Desert Management Dept., International Desert Research Center (IDRC), University of Tehran , Tehran, Iran
  • F. Salehi Desert Management Dept., International Desert Research Center (IDRC), University of Tehran , Tehran, Iran
  • Faezeh Fanian Desert Management Dept., International Desert Research Center (IDRC), University of Tehran , Tehran, Iran
  • Hadi Paktinat R.S. and G.I.S. Dept., Faculty of Geography, University of Tehran, Tehran, Iran
  • M. Asadollahi Desert Management Dept., International Desert Research Center (IDRC), University of Tehran , Tehran, Iran
  • M. Babakhani Desert Management Dept., International Desert Research Center (IDRC), University of Tehran , Tehran, Iran
  • Mohsen TaghiNaghilou Desert Management Dept., International Desert Research Center (IDRC), University of Tehran , Tehran, Iran
  • Zahra Feizi Desert Management Dept., International Desert Research Center (IDRC), University of Tehran , Tehran, Iran
Abstract:

Drought detecting is a necessary aspect of drought risk management. It is generally performed usingdifferent drought indices that are effectively continuous functions of rainfall and other hydro- meteorologicalvariables. A number of drought indices have been introduced and used in various countries to date. In thecurrent research, four meteorological drought indices including the standardized precipitation index (SPI),China-Z index (CZI), modified CZI (MCZI) and Z-Score (Z) are compared and evaluated for monitoringdroughts in Salt Lake Basin in Iran. The comparison of indices was carried out based on drought classes thatwere monitored in the study area using 40 years of data. The results indicated that SPI, CZI and Z-Scoreperformed similarly with regard to drought identification and responded slowly to drought onset. DI appearedto be very sensitive to precipitation rates, but had unsteady spatial and temporal variation. Additionally, byconsidering the advantages and disadvantages of the mentioned drought predictors in Iran, the CZI and ZScorecould be used as good meteorological drought predictors.

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Journal title

volume 19  issue 2

pages  155- 165

publication date 2014-07-01

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