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Appropriateness of Clustered Raingauge Stations for Spatio-Temporal Meteorological Drought Applications

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  • Arash Modaresi Rad
  • Davar Khalili

Abstract

Appropriateness of optimum clusters of raingauge stations (obtained from validated clustering techniques), is investigated for spatio-temporal meteorological drought applications. The study area is the semi-arid Karkheh watershed (western Iran), representing 16 raingauge stations with 41 years of data. The Kendall-tau and Mann-Kendall tests detected annual rainfall data dependency and significant temporal trend. A boxplot approach identified rainy months for SPI drought analysis (time scales of 3-, 6-, 9- and 12-month). Validity assessment of nine clustering techniques detected five clusters (all time scales) as being optimum. Validity indices detected combination of station geographical location/mean annual precipitation for data clustering as the best solution for 3-month SPI and combination of station geographical location/mean maximum SPI for longer time scales (the 3-month time scale indicating slightly different station combination). Cluster appropriateness for spatio-temporal drought applications was based on achievement of relative coherency, observed among SPI time series graphs of member stations. Coherency achievement required removal of at least one member from every cluster (all time scales). Non-coherent SPI time series behaviour was observed in one cluster with two members (time scales > 3-month). Few clusters had one member. According to results, clustered raingauge coherency should be considered prior to spatio-temporal meteorological drought applications. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Arash Modaresi Rad & Davar Khalili, 2015. "Appropriateness of Clustered Raingauge Stations for Spatio-Temporal Meteorological Drought Applications," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(11), pages 4157-4171, September.
    • Handle: RePEc:spr:waterr:v:29:y:2015:i:11:p:4157-4171
    DOI: 10.1007/s11269-015-1051-6
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    1. 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.
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    3. Seyed Banimahd & Davar Khalili, 2013. "Factors Influencing Markov Chains Predictability Characteristics, Utilizing SPI, RDI, EDI and SPEI 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. 27(11), pages 3911-3928, September.
    4. Ali Tabrizi & Davar Khalili & Ali Kamgar-Haghighi & Shahrokh Zand-Parsa, 2010. "Utilization of Time-Based Meteorological Droughts to Investigate Occurrence of Streamflow Droughts," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(15), pages 4287-4306, December.
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    8. Samane Saadat & Davar Khalili & Ali Kamgar-Haghighi & Shahrokh Zand-Parsa, 2013. "Investigation of spatio-temporal patterns of seasonal streamflow droughts in a semi-arid region," 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. 69(3), pages 1697-1720, December.
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    1. Srimanta Ghosh & K. Srinivasan, 2016. "Analysis of Spatio-temporal Characteristics and Regional Frequency of Droughts in the Southern Peninsula of India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(11), pages 3879-3898, September.
    2. Sara Hashempour Motlagh Shirazi & Davar Khalili & Shahrokh Zand-Parsa & Amin Shirvani, 2022. "Spatio-temporal variability of extreme precipitation characteristics under different climatic conditions in Fars province, Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 11348-11368, September.
    3. Arash Modaresi Rad & Davar Khalili & Ali Akbar Kamgar-Haghighi & Shahrokh Zand-Parsa & Seyed Adib Banimahd, 2016. "Assessment of seasonal characteristics of streamflow droughts under semiarid conditions," 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. 82(3), pages 1541-1564, July.

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