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Identifying drought- and flood-prone areas based on significant changes in daily precipitation over Iran

Author

Listed:
  • Mohammad Darand

    (University of Kurdistan)

  • Mohammad M. Sohrabi

    (University of California)

Abstract

Variations in frequency and intensity of extreme events have substantial impact on water resources and environment, which in turn are reflected on agriculture, society, and economy. We assessed spatiotemporal changes in pattern of daily precipitation to identify drought- and flood-prone areas of Iran. To do this, we generated gridded daily precipitation for the period of 1962–2013 over Iran using measured daily precipitation and the Kriging approach. We applied 11 precipitation indices that were stated by the Expert Team on Climate Change Detection and Indices (ETCCDI) to identify significant changes in frequency and intensity of extreme precipitation events. According to significant changes of these 11 precipitation indices, drought- and flood-prone areas of Iran were, then, detected. We observed significant changes in pattern of daily precipitation over more than half of the country. 40% of the country, which were located in the elevated regions of Iran, particularly along Zagros Mountain, was identified as flood-prone areas. As a result, in these regions, there is a need for flood risk management based on changes in stormwater events such as runoff generated from rain on snow and snowmelt events. In addition, we detected drought-prone areas in large portion of the northwest of Iran and in the low elevated regions of the country that have semiarid or arid climate. This suggests that it is necessary to prepare a long-term drought plan to mitigate impacts of severe drought events.

Suggested Citation

  • Mohammad Darand & Mohammad M. Sohrabi, 2018. "Identifying drought- and flood-prone areas based on significant changes in daily precipitation 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. 90(3), pages 1427-1446, February.
    • Handle: RePEc:spr:nathaz:v:90:y:2018:i:3:d:10.1007_s11069-017-3107-9
    DOI: 10.1007/s11069-017-3107-9
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    References listed on IDEAS

    as
    1. Jae Ryu & Mohammad Sohrabi & Anil Acharya, 2014. "Toward Mapping Gridded Drought Indices to Evaluate Local Drought in a Rapidly Changing Global Environment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3859-3869, September.
    2. Curriero, F.C. & Patz, J.A. & Rose, J.B. & Lele, S., 2001. "The association between extreme precipitation and waterborne disease outbreaks in the United States, 1948-1994," American Journal of Public Health, American Public Health Association, vol. 91(8), pages 1194-1199.
    3. Chad Cheng & Heather Auld & Qian Li & Guilong Li, 2012. "Possible impacts of climate change on extreme weather events at local scale in south–central Canada," Climatic Change, Springer, vol. 112(3), pages 963-979, June.
    4. Tayeb Raziei & Jamal Daryabari & Isabella Bordi & Reza Modarres & Luis Pereira, 2014. "Spatial patterns and temporal trends of daily precipitation indices in Iran," Climatic Change, Springer, vol. 124(1), pages 239-253, May.
    5. Mohammad Sohrabi & Jae Ryu & John Abatzoglou & John Tracy, 2013. "Climate extreme and its linkage to regional drought over Idaho, USA," 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. 65(1), pages 653-681, January.
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    Cited by:

    1. Mohammad Darand & Farshad Pazhoh, 2022. "Spatiotemporal changes in precipitation concentration over Iran during 1962–2019," Climatic Change, Springer, vol. 173(3), pages 1-22, August.

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