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:: Volume 20, Issue 69 (5-2020) ::
جغرافیایی 2020, 20(69): 17-37 Back to browse issues page
Best Probability Model and Generalized Linear Mixed Model of wet and Dry Spells of the Southern Coast of the Caspian Sea
Mahmoud Roshani1, Mohammad Saligheh2, Bohlol Alijani2, Zahra Begum Hejazi Zade *2
1- Eslamic Azad university of Rasht
2- Kharazmi University
Abstract:   (989 Views)
 Probability distributions and different mixed regression models are used to study of wet and dry spells. In this study, eight stations on the southern coast of the Caspian Sea were used for 55 years (1960 to 2015). One and two day wet spells are the most frequent in the area. Also, four and higher days wet spells in the western region is more than the east. The best probability distributions of wet spells are two-parameter gamma, two parameter normal log, two parameter logistic log, four-parameter generalized gamma, generalized three parameters gamma, two-parameter gamma, three-parameter gamma and a three-parameter logistic log. Also, the dry spells of the region are better fitted with generalized Parto, generalized logistics and generalized extreme value distributions. Due to the random behavior of the annual wet and dry spells, the best generalized linear mixed model for wet spells is the negative binomial log, Log Poisson, log normal and gamma logarithmic, also the Log Poisson, log normal and the negative binomial distribution was determined for the annual dry spells.
Keywords: wet and dry spells, probability model, generalized linear mixed model, southern coast of Caspian Sea.
Full-Text [PDF 1369 kb]   (188 Downloads)    
Type of Study: Research | Subject: Special
Received: 2018/04/23 | Accepted: 2018/08/27 | Published: 2020/05/30
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Roshani M, Saligheh M, Alijani B, Begum Hejazi Zade Z. Best Probability Model and Generalized Linear Mixed Model of wet and Dry Spells of the Southern Coast of the Caspian Sea. جغرافیایی. 2020; 20 (69) :17-37
URL: http://geographical-space.iau-ahar.ac.ir/article-1-3218-en.html


Volume 20, Issue 69 (5-2020) Back to browse issues page
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