Analysis of the Spell of Rainy Days in Lake Urmia Basin using Markov Chain Model

In this study, the Frequency and the spell of rainy days was analyzed in Lake Uremia Basin using Markov chain model. For this purpose, the daily precipitation data of 7 synoptic stations in Lake Uremia basin were used for the period 1995- 2014. The daily precipitation data at each station were class...

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Main Author: Khadijeh Javan
Format: Article
Language:fas
Published: Kharazmi University 2016-12-01
Series:تحقیقات کاربردی علوم جغرافیایی
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Online Access:http://jgs.khu.ac.ir/article-1-2717-en.pdf
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author Khadijeh Javan
author_facet Khadijeh Javan
author_sort Khadijeh Javan
collection DOAJ
description In this study, the Frequency and the spell of rainy days was analyzed in Lake Uremia Basin using Markov chain model. For this purpose, the daily precipitation data of 7 synoptic stations in Lake Uremia basin were used for the period 1995- 2014. The daily precipitation data at each station were classified into the wet and dry state and the fitness of first order Markov chain on data series was examined using Chi-square test at a significance level of 0.01 and was approved. After computing transition probability matrix, the persistent probability, average spell of dry days and rainy days and weather cycle was calculated. By calculating the frequency of 1-10 rainy, the spell of this periods and 2-5-days return period were calculated. The results show that in this study period the average of rainy days is 25% and the probability of Pdd is more than other states (Pww ، Pdw و Pwd). The average spell of rainy days in the study area was estimated at about two days. Generally, in all stations the persistent probability of wet state is more than rainy state. Estimation of frequency and spell of rainy days and 2-5-days return period show that with increasing duration, the frequency of rainy days decreases. Also with increasing duration of rainy days, their spell is reduces and return period increases.
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institution Kabale University
issn 2228-7736
2588-5138
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publishDate 2016-12-01
publisher Kharazmi University
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series تحقیقات کاربردی علوم جغرافیایی
spelling doaj-art-58244bbfaecc46e7abe825a9f1d37e732025-01-31T17:23:25ZfasKharazmi Universityتحقیقات کاربردی علوم جغرافیایی2228-77362588-51382016-12-011643173193Analysis of the Spell of Rainy Days in Lake Urmia Basin using Markov Chain ModelKhadijeh Javan0 In this study, the Frequency and the spell of rainy days was analyzed in Lake Uremia Basin using Markov chain model. For this purpose, the daily precipitation data of 7 synoptic stations in Lake Uremia basin were used for the period 1995- 2014. The daily precipitation data at each station were classified into the wet and dry state and the fitness of first order Markov chain on data series was examined using Chi-square test at a significance level of 0.01 and was approved. After computing transition probability matrix, the persistent probability, average spell of dry days and rainy days and weather cycle was calculated. By calculating the frequency of 1-10 rainy, the spell of this periods and 2-5-days return period were calculated. The results show that in this study period the average of rainy days is 25% and the probability of Pdd is more than other states (Pww ، Pdw و Pwd). The average spell of rainy days in the study area was estimated at about two days. Generally, in all stations the persistent probability of wet state is more than rainy state. Estimation of frequency and spell of rainy days and 2-5-days return period show that with increasing duration, the frequency of rainy days decreases. Also with increasing duration of rainy days, their spell is reduces and return period increases.http://jgs.khu.ac.ir/article-1-2717-en.pdfrainy daysprobability of occurrencemarkov chain modellake urmia basin
spellingShingle Khadijeh Javan
Analysis of the Spell of Rainy Days in Lake Urmia Basin using Markov Chain Model
تحقیقات کاربردی علوم جغرافیایی
rainy days
probability of occurrence
markov chain model
lake urmia basin
title Analysis of the Spell of Rainy Days in Lake Urmia Basin using Markov Chain Model
title_full Analysis of the Spell of Rainy Days in Lake Urmia Basin using Markov Chain Model
title_fullStr Analysis of the Spell of Rainy Days in Lake Urmia Basin using Markov Chain Model
title_full_unstemmed Analysis of the Spell of Rainy Days in Lake Urmia Basin using Markov Chain Model
title_short Analysis of the Spell of Rainy Days in Lake Urmia Basin using Markov Chain Model
title_sort analysis of the spell of rainy days in lake urmia basin using markov chain model
topic rainy days
probability of occurrence
markov chain model
lake urmia basin
url http://jgs.khu.ac.ir/article-1-2717-en.pdf
work_keys_str_mv AT khadijehjavan analysisofthespellofrainydaysinlakeurmiabasinusingmarkovchainmodel