Investigation and analysis of cycles and spatial correlation model of Iranian monthly rainfalls

The purpose of this study is to analyze and analyze Iran's precipitation over the past half-century(1967-2017). For this purpose, the average monthly rainfall of Iran during the statistical period of 50 years was extracted from Esfazari databases (Which is provided using data from 283 stations...

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Main Authors: rahmatollah shojaei moghadam, Mostafa karampoor, behroz nasiri, naser tahmasebipour
Format: Article
Language:fas
Published: Kharazmi University 2018-06-01
Series:تحقیقات کاربردی علوم جغرافیایی
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Online Access:http://jgs.khu.ac.ir/article-1-2936-en.pdf
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author rahmatollah shojaei moghadam
Mostafa karampoor
behroz nasiri
naser tahmasebipour
author_facet rahmatollah shojaei moghadam
Mostafa karampoor
behroz nasiri
naser tahmasebipour
author_sort rahmatollah shojaei moghadam
collection DOAJ
description The purpose of this study is to analyze and analyze Iran's precipitation over the past half-century(1967-2017). For this purpose, the average monthly rainfall of Iran during the statistical period of 50 years was extracted from Esfazari databases (Which is provided using data from 283 stations of Synoptic and Climatology). Regression analysis was used to analyze the trend and to analyze the annual and monthly rainfall cycles of Iran, spectral analysis was used. Investigation and analysis of monthly precipitation trend indicates that except for central Zagros (Lorestan and Chaharmahal va Bakhtiari and Gorgan areas, where rainfall in winter season has increased trend), in other parts of the country and in other seasons, the trend of decline Precipitation is prevalent. The study of Iranian rainfall cycles has been shown  that Most of Iran's rainfall cycles are 2 to 4 years old and have a short term course. Meanwhile, there are two middle-cycle 25-year cycles in January-July and two long-term 50-year cycles in March and December, indicating a trend in the March and December rainfall. The two months of February and October lacked a clear cycle. The analysis of the auto-correlation model of rainfall showed that the high spatial auto-correlation model in winter was consistent with the western, southwestern and coastal of the Caspian Sea and covered about 14% of the country's. The low spatial auto-correlation model is found in sparse spots in the southern, central and southeastern regions of the country in winter and spring, and covered about 7.5% of the country's. The results of this study indicate that the overall trend of Iran's rainfall is decreasing trend and only in winter, in the small regions of the country, the increase trend is observed.
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series تحقیقات کاربردی علوم جغرافیایی
spelling doaj-art-6f08f1fd023f43eaa70eba0534ba20ec2025-01-31T17:25:07ZfasKharazmi Universityتحقیقات کاربردی علوم جغرافیایی2228-77362588-51382018-06-011851235251Investigation and analysis of cycles and spatial correlation model of Iranian monthly rainfallsrahmatollah shojaei moghadam0Mostafa karampoor1behroz nasiri2naser tahmasebipour3 : Ph.D. student of Climatology, Lorestan University, Khorramabad, Iran. Assistant Professor of Natural Geography at Lorestan University, Khorramabad, Iran Assistant Professor of Natural Geography at Lorestan University, Khorramabad, Iran. Assistant Professor of Natural Resources Engineering, Rangeland and Watershed Management, Lorestan University, Khorramabad, Iran. The purpose of this study is to analyze and analyze Iran's precipitation over the past half-century(1967-2017). For this purpose, the average monthly rainfall of Iran during the statistical period of 50 years was extracted from Esfazari databases (Which is provided using data from 283 stations of Synoptic and Climatology). Regression analysis was used to analyze the trend and to analyze the annual and monthly rainfall cycles of Iran, spectral analysis was used. Investigation and analysis of monthly precipitation trend indicates that except for central Zagros (Lorestan and Chaharmahal va Bakhtiari and Gorgan areas, where rainfall in winter season has increased trend), in other parts of the country and in other seasons, the trend of decline Precipitation is prevalent. The study of Iranian rainfall cycles has been shown  that Most of Iran's rainfall cycles are 2 to 4 years old and have a short term course. Meanwhile, there are two middle-cycle 25-year cycles in January-July and two long-term 50-year cycles in March and December, indicating a trend in the March and December rainfall. The two months of February and October lacked a clear cycle. The analysis of the auto-correlation model of rainfall showed that the high spatial auto-correlation model in winter was consistent with the western, southwestern and coastal of the Caspian Sea and covered about 14% of the country's. The low spatial auto-correlation model is found in sparse spots in the southern, central and southeastern regions of the country in winter and spring, and covered about 7.5% of the country's. The results of this study indicate that the overall trend of Iran's rainfall is decreasing trend and only in winter, in the small regions of the country, the increase trend is observed.http://jgs.khu.ac.ir/article-1-2936-en.pdfprecipitationtrend analysisspectral analysisiran
spellingShingle rahmatollah shojaei moghadam
Mostafa karampoor
behroz nasiri
naser tahmasebipour
Investigation and analysis of cycles and spatial correlation model of Iranian monthly rainfalls
تحقیقات کاربردی علوم جغرافیایی
precipitation
trend analysis
spectral analysis
iran
title Investigation and analysis of cycles and spatial correlation model of Iranian monthly rainfalls
title_full Investigation and analysis of cycles and spatial correlation model of Iranian monthly rainfalls
title_fullStr Investigation and analysis of cycles and spatial correlation model of Iranian monthly rainfalls
title_full_unstemmed Investigation and analysis of cycles and spatial correlation model of Iranian monthly rainfalls
title_short Investigation and analysis of cycles and spatial correlation model of Iranian monthly rainfalls
title_sort investigation and analysis of cycles and spatial correlation model of iranian monthly rainfalls
topic precipitation
trend analysis
spectral analysis
iran
url http://jgs.khu.ac.ir/article-1-2936-en.pdf
work_keys_str_mv AT rahmatollahshojaeimoghadam investigationandanalysisofcyclesandspatialcorrelationmodelofiranianmonthlyrainfalls
AT mostafakarampoor investigationandanalysisofcyclesandspatialcorrelationmodelofiranianmonthlyrainfalls
AT behroznasiri investigationandanalysisofcyclesandspatialcorrelationmodelofiranianmonthlyrainfalls
AT nasertahmasebipour investigationandanalysisofcyclesandspatialcorrelationmodelofiranianmonthlyrainfalls