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Trend Detection of Drought in Arid and Semi-Arid Regions of Iran Based on Implementation of Reconnaissance Drought Index (RDI) and Application of Non-Parametrical Statistical Method

Author

Listed:
  • Mohammad Kousari
  • Mohammad Dastorani
  • Yaghoub Niazi
  • Esmaeel Soheili
  • Mehdi Hayatzadeh
  • Javad Chezgi

Abstract

Drought is known as one of the main natural hazards especially in arid and semi-arid regions where there are considerable issues in regard to water resources management. Also, climate changes has been introduced as a global concern and therefore, under conditions of climate change and global warming, the investigation of drought severity trend in regions such as Iran which is mainly covered by arid and semi-arid climate conditions is in the primary of importance. Therefore, in this study, based on the application of Reconnaissance Drought Index (RDI) for assessment drought severities, and also the implementation of non-parametric Mann- Kendall statistics and Sen’s slope estimator, the trends in different time series of RDI (3, 6, 9, 12, 18 and 24 monthly time series) were investigated. Results indicated the frequent decreasing trends in RDI time series particularly for long term time series (12, 18 and 24 monthly time series) than short term ones. Decreasing trend in RDI time series means the increasing trend in drought severities. Since the water resources especially ground water in most cases are affected by long term droughts, therefore, increasing trend in drought intensities in long term ones can be a threat for water resources management in surveyed areas. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Mohammad Kousari & Mohammad Dastorani & Yaghoub Niazi & Esmaeel Soheili & Mehdi Hayatzadeh & Javad Chezgi, 2014. "Trend Detection of Drought in Arid and Semi-Arid Regions of Iran Based on Implementation of Reconnaissance Drought Index (RDI) and Application of Non-Parametrical Statistical Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(7), pages 1857-1872, May.
    • Handle: RePEc:spr:waterr:v:28:y:2014:i:7:p:1857-1872
    DOI: 10.1007/s11269-014-0558-6
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    References listed on IDEAS

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    1. Saeed Soltani & R. Saboohi & L. Yaghmaei, 2012. "Rainfall and rainy days trend in Iran," Climatic Change, Springer, vol. 110(1), pages 187-213, January.
    2. G. Tsakiris & I. Nalbantis & H. Vangelis & B. Verbeiren & M. Huysmans & B. Tychon & I. Jacquemin & F. Canters & S. Vanderhaegen & G. Engelen & L. Poelmans & P. Becker & O. Batelaan, 2013. "A System-based Paradigm of Drought Analysis for Operational Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(15), pages 5281-5297, December.
    3. Davar Khalili & Tohid Farnoud & Hamed Jamshidi & Ali Kamgar-Haghighi & Shahrokh Zand-Parsa, 2011. "Comparability Analyses of the SPI and RDI Meteorological Drought Indices in Different Climatic Zones," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(6), pages 1737-1757, April.
    4. Mohammad Asadi Zarch & Hossein Malekinezhad & Mohammad Mobin & Mohammad Dastorani & Mohammad Kousari, 2011. "Drought Monitoring by Reconnaissance Drought Index (RDI) in Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(13), pages 3485-3504, October.
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    Cited by:

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    2. Babak Amirataee & Majid Montaseri, 2017. "The performance of SPI and PNPI in analyzing the spatial and temporal trend of dry and wet periods over Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(1), pages 89-106, March.
    3. Javad Bazrafshan & Somayeh Hejabi, 2018. "A Non-Stationary Reconnaissance Drought Index (NRDI) for Drought Monitoring in a Changing Climate," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(8), pages 2611-2624, June.
    4. Bahaa Khali & Jan Adamowski, 2014. "Evaluation of the Performance of Eight Record-Extension Techniques Under Different Levels of Association, Presence of Outliers and Different Sizes of Concurrent Records: A Monte Carlo Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(14), pages 5139-5155, November.
    5. Abdelaaziz Merabti & Diogo S. Martins & Mohamed Meddi & Luis S. Pereira, 2018. "Spatial and Time Variability of Drought Based on SPI and RDI with Various Time Scales," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(3), pages 1087-1100, February.
    6. Javad Bazrafshan, 2017. "Effect of Air Temperature on Historical Trend of Long-Term Droughts in Different Climates of Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(14), pages 4683-4698, November.
    7. George Tsakiris & Nikos Kordalis & Dimitris Tigkas & Vasileios Tsakiris & Harris Vangelis, 2016. "Analysing Drought Severity and Areal Extent by 2D Archimedean Copulas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(15), pages 5723-5735, December.

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