Predicting Last Spring Freezing Day in West and Northwest of Iran

In this paper we try to predict last freezing day of spring for 17 meteorological stations in west and northwest of Iran by Artificial Neural Networks. The method used to do so was the back propagation method. Climatologic data included first day of freezing, minimum absolute temperature in the last...

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Main Authors: Hasan Zolfaghari, Gholamreza Zahedi, Tayebe Sajjadifar
Format: Article
Language:fas
Published: Razi University 2012-11-01
Series:جغرافیا و پایداری محیط
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Online Access:https://ges.razi.ac.ir/article_179_784908a0003a6fa4d37e328400a0ed89.pdf?lang=en
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author Hasan Zolfaghari
Gholamreza Zahedi
Tayebe Sajjadifar
author_facet Hasan Zolfaghari
Gholamreza Zahedi
Tayebe Sajjadifar
author_sort Hasan Zolfaghari
collection DOAJ
description In this paper we try to predict last freezing day of spring for 17 meteorological stations in west and northwest of Iran by Artificial Neural Networks. The method used to do so was the back propagation method. Climatologic data included first day of freezing, minimum absolute temperature in the last day of freezing, humidity at 3 o’clock (GMT) in the last day of freezing, average relative humidity in the last day, average pressure in the day before last day and cloudiness in the last day of freezing input the network, and the last day of freezing was output. Artificial neural networks could predict the last day of freezing for all 17 stations with an accepted error. Biggest errors in this work belong to Arak station with 1.1142 % and smallest errors belong to Mahabad station with 0.254 %. It was concluded that zonation of the religion based on accomplished prediction exposed effects of the both height and topography.
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institution Kabale University
issn 2322-3197
2676-5683
language fas
publishDate 2012-11-01
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record_format Article
series جغرافیا و پایداری محیط
spelling doaj-art-59fb3c99d49a4f71a0dd6cc2e1fe49542025-02-03T13:39:48ZfasRazi Universityجغرافیا و پایداری محیط2322-31972676-56832012-11-01235974Predicting Last Spring Freezing Day in West and Northwest of IranHasan Zolfaghari Gholamreza Zahedi Tayebe SajjadifarIn this paper we try to predict last freezing day of spring for 17 meteorological stations in west and northwest of Iran by Artificial Neural Networks. The method used to do so was the back propagation method. Climatologic data included first day of freezing, minimum absolute temperature in the last day of freezing, humidity at 3 o’clock (GMT) in the last day of freezing, average relative humidity in the last day, average pressure in the day before last day and cloudiness in the last day of freezing input the network, and the last day of freezing was output. Artificial neural networks could predict the last day of freezing for all 17 stations with an accepted error. Biggest errors in this work belong to Arak station with 1.1142 % and smallest errors belong to Mahabad station with 0.254 %. It was concluded that zonation of the religion based on accomplished prediction exposed effects of the both height and topography.https://ges.razi.ac.ir/article_179_784908a0003a6fa4d37e328400a0ed89.pdf?lang=enartificial neural networkslast freezing daypredictionwest and northwest of iran
spellingShingle Hasan Zolfaghari
Gholamreza Zahedi
Tayebe Sajjadifar
Predicting Last Spring Freezing Day in West and Northwest of Iran
جغرافیا و پایداری محیط
artificial neural networks
last freezing day
prediction
west and northwest of iran
title Predicting Last Spring Freezing Day in West and Northwest of Iran
title_full Predicting Last Spring Freezing Day in West and Northwest of Iran
title_fullStr Predicting Last Spring Freezing Day in West and Northwest of Iran
title_full_unstemmed Predicting Last Spring Freezing Day in West and Northwest of Iran
title_short Predicting Last Spring Freezing Day in West and Northwest of Iran
title_sort predicting last spring freezing day in west and northwest of iran
topic artificial neural networks
last freezing day
prediction
west and northwest of iran
url https://ges.razi.ac.ir/article_179_784908a0003a6fa4d37e328400a0ed89.pdf?lang=en
work_keys_str_mv AT hasanzolfaghari predictinglastspringfreezingdayinwestandnorthwestofiran
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AT tayebesajjadifar predictinglastspringfreezingdayinwestandnorthwestofiran