Arid
DOI10.1007/s11069-017-3107-9
Identifying drought- and flood-prone areas based on significant changes in daily precipitation over Iran
Darand, Mohammad1; Sohrabi, Mohammad M.2
通讯作者Darand, Mohammad
来源期刊NATURAL HAZARDS
ISSN0921-030X
EISSN1573-0840
出版年2018
卷号90期号:3页码:1427-1446
英文摘要

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.


英文关键词Extreme precipitation events Flood-prone areas Drought-prone areas Mann-Kendall test Iran ETCCDI
类型Article
语种英语
国家Iran ; USA
收录类别SCI-E ; SSCI
WOS记录号WOS:000422661600018
WOS关键词CLIMATE-CHANGE ; EXTREME PRECIPITATION ; TEMPORAL TRENDS ; TEMPERATURE EXTREMES ; UNITED-STATES ; RIVER-BASIN ; RAINFALL ; INDEXES ; VARIABILITY ; CHINA
WOS类目Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS研究方向Geology ; Meteorology & Atmospheric Sciences ; Water Resources
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/211760
作者单位1.Univ Kurdistan, Fac Nat Recourses, Dept Climatol, Sanandaj, Iran;
2.Univ Calif, Sierra Nevada Res Inst, Merced, CA USA
推荐引用方式
GB/T 7714
Darand, Mohammad,Sohrabi, Mohammad M.. Identifying drought- and flood-prone areas based on significant changes in daily precipitation over Iran[J],2018,90(3):1427-1446.
APA Darand, Mohammad,&Sohrabi, Mohammad M..(2018).Identifying drought- and flood-prone areas based on significant changes in daily precipitation over Iran.NATURAL HAZARDS,90(3),1427-1446.
MLA Darand, Mohammad,et al."Identifying drought- and flood-prone areas based on significant changes in daily precipitation over Iran".NATURAL HAZARDS 90.3(2018):1427-1446.
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