干旱区生态环境知识资源中心(Arid): Joint Modeling of Severe Dust Storm Events in Arid and Hyper Arid Regions Based on Copula Theory: A Case Study in the Yazd Province, Iran

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DOI	10.3390/cli8050064
	Joint Modeling of Severe Dust Storm Events in Arid and Hyper Arid Regions Based on Copula Theory: A Case Study in the Yazd Province, Iran
	Mesbahzadeh, Tayyebeh; Mirakbari, Maryam; Saravi, Mohsen Mohseni; Sardoo, Farshad Soleimani; Krakauer, Nir Y.
通讯作者	Krakauer, NY
来源期刊	CLIMATE
EISSN	2225-1154
出版年	2020
卷号	8 期号:5
英文摘要	Natural disasters such as dust storms are random phenomena created by complicated mechanisms involving many parameters. In this study, we used copula theory for bivariate modeling of dust storms. Copula theory is a suitable method for multivariate modeling of natural disasters. We identified 40 severe dust storms, as defined by the World Meteorological Organization, during 1982-2017 in Yazd province, central Iran. We used parameters at two spatial vertical levels (near-surface and upper atmosphere) that included surface maximum wind speed, and geopotential height and vertical velocity at 500, 850, and 1000 hPa. We compared two bivariate models based on the pairs of maximum wind speed-geopotential height and maximum wind speed-vertical velocity. We determined the bivariate return period using Student t and Gaussian copulas, which were considered as the most suitable functions for these variables. The results obtained for maximum wind speed-geopotential height indicated that the maximum return period was consistent with the observed frequency of severe dust storms. The bivariate modeling of dust storms based on maximum wind speed and geopotential height better described the conditions of severe dust storms than modeling based on maximum wind speed and vertical velocity. The finding of this study can be useful to improve risk management and mitigate the impacts of severe dust storms.
英文关键词	copula theory bivariate return period joint probability dust storms maximum wind speed geopotential height
类型	Article
语种	英语
开放获取类型	DOAJ Gold
收录类别	ESCI
WOS记录号	WOS:000540794900005
WOS关键词	RETURN PERIOD ANALYSIS ; NATURAL DISASTERS ; ASIAN DUST ; FREQUENCY-ANALYSIS ; CLIMATE-CHANGE ; MIDDLE-EAST ; CHINA ; IMPACT
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/334413
作者单位	[Mesbahzadeh, Tayyebeh; Mirakbari, Maryam; Saravi, Mohsen Mohseni; Sardoo, Farshad Soleimani] Univ Tehran, Fac Nat Resources, Dept Reclamat Arid & Mt Reg, Tehran 1417414418, Iran; [Sardoo, Farshad Soleimani] Univ Jiroft, Fac Nat Resources, Dept Nat Engn, Jiroft 7867161167, Iran; [Krakauer, Nir Y.] CUNY City Coll, Dept Civil Engn, New York, NY 10031 USA
推荐引用方式 GB/T 7714	Mesbahzadeh, Tayyebeh,Mirakbari, Maryam,Saravi, Mohsen Mohseni,et al. Joint Modeling of Severe Dust Storm Events in Arid and Hyper Arid Regions Based on Copula Theory: A Case Study in the Yazd Province, Iran[J],2020,8(5).
APA	Mesbahzadeh, Tayyebeh,Mirakbari, Maryam,Saravi, Mohsen Mohseni,Sardoo, Farshad Soleimani,&Krakauer, Nir Y..(2020).Joint Modeling of Severe Dust Storm Events in Arid and Hyper Arid Regions Based on Copula Theory: A Case Study in the Yazd Province, Iran.CLIMATE,8(5).
MLA	Mesbahzadeh, Tayyebeh,et al."Joint Modeling of Severe Dust Storm Events in Arid and Hyper Arid Regions Based on Copula Theory: A Case Study in the Yazd Province, Iran".CLIMATE 8.5(2020).