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Bivariate analysis of return period of dust storm based on Copula theory in Yazd province
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Maryam Mirakbari   , Tayebeh Mesbahzadeh * , Mohsen Mohseni saravi |
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Abstract: (6805 Views) |
| Dust storm is the stochastical event that depends on several parametrs therefore multivariate analysis of this event is really important. In this study is discussed about importance and shortage of multivariate analysis of natural disasters such as dust storm. For this purpose copula theory is used for bivariate analysis of dust storm. Copulas function are useful tools for multivariate frequency analsis of natural disasters. One of the main advantages of copula theory is that there is no limit to select of the type of marginal distribution. In order to bivariate analysis of dust storm, sever dust storm was selected based on defInition of WMO from 1982 to 2014 in Yazd province. 34 dust storm events were extracted and maximum wind speed and geopotential heights were determined corresponding to stormy days. Finally, the bivariate return period was calculated based on maximum wind speed and geopotential height using the t-student copula as the best function. Also univariate return period of dst storm was calculated based on maximum wind speed and and geopotential height separately for comparison with bivariate return period. The results showed bivariate analysis of return period of dust storm is more accurate than univariate return period. |
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| Keywords: dust storm, copula function, bivariate return period, geopotential height, maximum wind speed, Yazd province |
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Full-Text [PDF 686 kb]
(2176 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2018/01/26 | Accepted: 2018/02/16 | Published: 2018/03/14
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