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  • دکتری (1388)

    جغرافیای طبیعی - اقلیم شناسی

    دانشگاه اصفهان، ایران

  • کارشناسی‌ارشد (1381)

    جغرافیای طبیعی - اقلیم شناسی

    دانشگاه تبریز،

  • کارشناسی (1376)

    جغرافیای طبیعی

    دانشگاه تبریز،

  • پیوند از دور و تغییر اقلیم
  • سینوپتیک مخاطرات اقلیمی
  • مدلسازی اقلیمی

    یوسف قویدل رحیمی متولد سال 1352 در شهر تاریخی و تاریخ ساز تبریز است. وی کارشناسی خود را در رشته جغرافیای طبیعی با گرایش آب و هواشناسی و کارشناسی ارشد را در گرایش آب و هواشناسی در برنامه ریزی محیطی از دانشگاه تبریز اخذ نموده و در سال 1388 از دانشگاه اصفهان در دکتری رشته آب و هواشناسی فارغ التحصیل شده است. ایشان از اواخر سال 1388 به گروه جغرافیای تربیت مدرس پیوسته و هم اکنون استاد تمام گروه جغرافیای طبیعی می باشند.

    Spatio-temporal Analysis of Dry and Wet Periods in Iran by Using Global Precipitation Climatology Center - Drought Index (GPCC –DI)

    Manuchehr Farajzadeh Y. Ghavidel, Alireza Hosseini, Ali Mohammad Khorshiddoust
    Journal PapersTheoretical and Applied Climatology , Volume 143 , Issue 04-Mar, 2021 February 7, {Pages 1035–1045 }

    Abstract

    In this study, the temporal and spatial characteristics of droughts in Iran, including severity, duration, frequency, and extent, were studied using the GPCC-DI, in a 68-year period from 1952 to 2019. To display and analyze these features, time trend components, intensity, duration, and area diagrams, Mann-Kendall non-parametric test and Kriging geostatistical method were used. The result of plotting intensity-duration-frequency maps shows an increasing trend in regional drought severity and spread. It was also found that the most severe droughts occurred in the 12-and 24-month periods from 2000 onward. Mann-Kendall test results also show that significant increases in droughts occurred in the central desert basins of Hamoon basin and south

    The evaluation of climate change effects on wheat yield in Iran

    Manuchehr Farajzadeh, Yousef Ghavidel Rahimi, Behroz Asadzadeh
    Journal PapersClimate Change Research , 2021 January 20, {Pages }

    Abstract

    In this study 31 stations were selected according to climatic parameters such as temperature and precipitation. Climatic parameters such as rainfall Monthly and 5 temperature parameters during plant growth from October to June, for 25 years of statistical period from 1982 to 2006, as well as data on wheat yield in each station, a test run test for Data was randomized and then the reconstruction test was performed on missing and missing data. In each station, the correlation coefficient between wheat yield and climatic parameters was calculated and ultimately the model Regression for stations was used to identify effective climatic parameters in estimating wheat yield. In wheat, all stations except Gorgan station had a regression model. In w

    Historical reconstruction and statistical survey on long-term temporal changes in temperatures above 50° C in West Asia

    Z Hadi, G Yousef, F Manuchehr
    Journal Papers , , {Pages }

    Abstract

    Spatial Analysis of the Temporal Long-Term Variations in Frequency of Dust Storm Days in Iran

    P Baghbanan, Y Ghavidel, M Farajzadeh
    Journal Papers , , {Pages }

    Abstract

    Temporal variations in the frequency of thunderstorm days in Tabriz and its relationship with sunspots frequency and global atmospheric Co2 concentration

    Y Ghavidel, M Shojaei, M Farajzade
    Journal Papers , , {Pages }

    Abstract

    Characterization of drought dynamics in Iran by using S-TRACK method

    A Hosseini, Y Ghavidel, M Farajzadeh
    Journal Papers , , {Pages }

    Abstract

    Spatial Analysis of spring dust storms hazard in Iran

    Baghbanan Parasto, Ghavidel Yousef, Farajzadeh Manuchehr
    Journal PapersTheoretical and Applied Climatology , Volume 139 , Issue 04-Mar, 2020 January 30, {Pages 1447–1457 }

    Abstract

    Temporal long-term variations in the occurrence of dust storm days in Iran

    Parasto Baghbanan, Yousef Ghavidel, Manuchehr Farajzadeh
    Journal PapersMeteorology and Atmospheric Physics , 2020 February 7, {Pages 14-Jan }

    Abstract

    In this research, monthly data on the Frequency of Dust Storm Days (FDSD) of 44 synoptic stations of Iran during a 50-year period from 1968–2017 were used. Temporal variations in Iran's dust storms were investigated using hierarchical cluster analysis, linear regression methods, and nonparametric test of Mann Kendall. According to the cluster analysis, five climatic zones were identified with similar trends in the frequency of occurrence of dust storms including:(1) Southeast,(2) South and Central regions,(3) Western regions,(4) Eastern and Central regions, and (5) the Northern part of the country. The results of the distribution of Iranian dust storms indicated that the highest frequency of the occurrence of this phenomenon was in July,

    Synoptic analysis of unexampled super-heavy rainfall on April 1, 2019, in west of Iran

    Yousef Ghavidel, Farzaneh Jafari Hombari
    Journal PapersNatural Hazards , 2020 August 24, {Pages 14-Jan }

    Abstract

    The aim of this study is to analyze the synoptic and analyzing the mechanisms of flood occurrence on April 1, 2019, in the western half of Iran. In order to statistically analyze super-heavy precipitation in western Iran, the daily meteorological data from April 2019 for 13 synoptic stations in Kermanshah, Hamadan, and Lorestan Provinces were received and used by the Meteorological Organization. The results show that on the peak day of precipitation in the western half of the country, most stations recorded more than 100 mm of precipitation, the highest of which, 127 mm, occurred at Nahavand station. The arrangement of sea level pressure patterns also indicates the existence of severe pressure gradients between the low pressure in northern

    Spatio-temporal analysis of dry and wet periods in Iran by using Global Precipitation Climatology Center-Drought Index (GPCC-DI)

    Alireza Hosseini, Yousef Ghavidel, Ali Mohammad Khorshiddoust, Manuchehr Farajzadeh
    Journal PapersTheoretical and Applied Climatology , 2020 November 24, {Pages 11-Jan }

    Abstract

    In this study, the temporal and spatial characteristics of droughts in Iran, including severity, duration, frequency, and extent, were studied using the GPCC-DI, in a 68-year period from 1952 to 2019. To display and analyze these features, time trend components, intensity, duration, and area diagrams, Mann-Kendall non-parametric test and Kriging geostatistical method were used. The result of plotting intensity-duration-frequency maps shows an increasing trend in regional drought severity and spread. It was also found that the most severe droughts occurred in the 12-and 24-month periods from 2000 onward. Mann-Kendall test results also show that significant increases in droughts occurred in the central desert basins of Hamoon basin and south

    A new approach in temporal-spatial reconstruction and synoptic analysis of cold waves in the northwest of Iran

    Manuchehr Farajzadeh Mehdi Aalijahan, Bromand Salahi, Yousef Ghavidel
    Journal PapersTheoretical and Applied Climatology , Volume 137 , 2019 July 10, {Pages 341–352 }

    Abstract

    The present paper intends to reconstruct temporal-spatial patterns of below − 15??C cold waves in the northwest of Iran and carry out a synoptic analysis of the patterns of these cold waves. Carrying out research on this topic can assist researchers and the state authorities in solving problems of different spheres of society, such as agriculture, economics, public health, etc., since cold waves can affect health problems in society and frosts can inflict severe damages to the agricultural crops and thereby lead to serious economic losses. For the purpose of this paper, a data corpus related to a period of 142?years from 1871 to 2012 was obtained from the relevant twentieth-century data banks of NOAA. Having sorted out th

    Identification of the Thresholds of Extreme Values and Synoptic Analysis of PM10 Pollution in the Atmosphere of Ahvaz

    Yousef Ghavidel, Ali Khorshiddoust, Manouchehr Farajzadeh, Hamideh Pourshahbaz
    Journal PapersPollution , Volume 3 , Issue 5, 2019 July , {Pages 611-621 }

    Abstract

    Ahvaz can be regarded as one of the most polluted cities in the world in terms of air pollution. Successive years of drought and weather conditions in recent years have resulted in particulate matter (PM10) concentration in Ahvaz. In this study, using probability distribution techniques, an appropriate threshold to identify the PM10 maximum extreme concentrations (MEC) has been detected. Based on log-logistics probability distribution, which has the best fit to the data of PM10 concentration in Ahvaz, the 0.99 percentile threshold which is specified by 1516 μg/m? is known as the primary PM10 concentrations in Ahvaz air. Based on the mentioned threshold, 24 days in which the PM10 concentration was equal to or more than the threshold were se

    Discrimination of aerosol types over the Tehran city using 5 years (2011–2015) of MODIS collection 6 aerosol products

    Mohammad Rezaei, Manuchehr Farajzadeh, Tero Mielonen, Yosef Ghavidel
    Journal PapersJournal of Environmental Health Science and Engineering , 2019 April 23, {Pages 12-Jan }

    Abstract

    Purpose Tehran, Iran, is an interesting location for aerosol studies because it is affected by anthropogenic pollution and desert dust aerosols. The aim of this study was to discriminate the aerosol types using satellite data over the city. Method The study was performed using Level-2 daily Aerosol Optical Depth (AOD) and ?ngstr?m Exponent (AE) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on board the Terra and Aqua satellites for the years 2011 to 2015. As the Deep Blue (DB) AE retrievals are more reliable than the Dark Target (DT) AE retrievals, the study was performed using DB data.

    THE TEMPORAL ANALYSIS OF DUST STORMS IN KHORAMABAD SYNOPTIC STATION

    RAHIMI YOUSEF GHAVIDEL, MANOUCHEHR FARAJZADEH, ZAND ESMAEIL LASHANI
    Journal Papers , Volume 18 , Issue 5100415, 2019 January 1, {Pages 87-102 }

    Abstract

    In this study, the changes in the Khorramabad storm in the period of 1952 to 2015 have been investigated. For this purpose, data from meteorological codes 06 and 07 were received from the Meteorological Organization of the country, and after identifying the days of winding with dust storms and calculating their monthly frequency, monthly, seasonal and annual time series were analyzed. In this study, descriptive statistics, cluster analysis, linear and polynomial trend analysis, and nonparametric Mann-Kendal test were used to study the frequency variation of dust storms in Khorramabad station. The results of the research showed that the monthly frequency of dust storms in Khorramabad station in the middle of May, July and June is May and Jul

    The application of Extreme value analysis method in heat wave hazard climatology; case study in Mid-Southern Iran

    Yousef Ghavidel, Manouchehr Farajzadeh, Bashir Ghahramani
    Journal PapersJournal of Spatial Analysis Environmental hazarts , Volume 6 , Issue 2, 2019 September 10, {Pages 17-Jan }

    Abstract

    Greenhouse warming poses the main cause of atmospheric hazards’ exacerbation and emergence in recent years. Earth planet has been witnessing frequent and severe natural hazards from the distant past; however, global warming has strongly influenced the occurrence of some atmospheric hazards, especially the ones induced by temperature and has increased the frequency and severity of those risks. Such extreme risks arising from temperature element and being affected by global warming could be referred to hot days and their frequency more than one day which undergo heat waves. Of the studies conducted worldwide in conjunction with the phenomenon of heat waves, the following can be pointed out; Sch?r (2015) has focused his studies on the Persia

    Analysis of spatio-temporal dust aerosol frequency over Iran based on satellite data

    Yousef Ghavidel Mohammad Rezaei, Manouchehr Farajzadeh, Tero Mielonen
    Journal PapersAtmospheric Pollution Research , Volume 10 , Issue 2, 2019 March 12, {Pages 508-519 }

    Abstract

    Iran is located in the dust-belt region and so dust is a main environmental issue over the country. The main purpose of this study is to better understand of the spatial and temporal properties of the Dust Aerosol Frequency (DAF) over Iran using satellite data. Daily Moderate Resolution Imaging Spectroradiometer (MODIS) deep blue Aerosol Optical Depth (AOD), Angstrom Exponent (AE) (both Terra and Aqua, Level 3, Collection 6.1) and Ozone Monitoring Instrument (OMI) Absorption Aerosol Index (AAI) were obtained at 1? ? 1? spatial resolution over Iran for the 10 years from 2006 to 2015. In this study observations with AOD higher than 0.3, AE < 0.75 and AAI >0.7 are considered to be dust aerosols. Results showed that the maximum areas with h

    Validating MODIS cloud mask using a regional cloud mask based on AVHRR data

    ELHAM GHASEMIFAR, Manochehr Farajzadeh, RAHIMI YOUSEF GHAVIDEL, AKBARI BIDOKHTI ABBASALI ALI
    Journal Papers , Volume 51 , Issue 300727, 2019 January 1, {Pages 447-468 }

    Abstract

    Introduction Cloud has an important role in the study of radiation balance and greenhouse gases due to water vapor existing in the greenhouse gases of atmosphere. Clouds can reflect sun radiate in the top of atmosphere based on their thickness and density. Iran country has different regions in regards to cloudiness. For example the north of Iran has a cloudy sky over most days of year, while cloudy conditions is low in the central regions of Iran. One of the most important datasets in order to cloud detection is satellite data. The two main of sensors that can be used in meteorology are Moderate Resolution Imaging Spectroradiometer (MODIS) sensor aboard Terra and Aqua Platforms and Advanced Very High Resolution Radiometer (AVHRR) aboard Nat

    Evaluation of estimator variables in air temperature estimation in January and June based on land cover

    Chenour Mohammadi, Manuchehr Farajzadeh, Yousef Ghavidel Rahimi, Abbas Ali Aliakbari-Bidokhti
    Journal PapersJournal of the Earth and Space Physics , Volume 45 , Issue 1, 2019 March 21, {Pages 129-147 }

    Abstract

    The near-surface temperature, Ts measured by ground stations provides limited information on the spatial distribution of Ta pattern. A correct estimation of Ta distribution pattern is necessary for a wide range of applications such as hydrology, ecology, meteorology (Wenbin et al., 2013) and biology of vector-borne diseases. In this study, near-surface air temperatures (Ta) using environmental parameters including land surface temperature (LST), altitude, slope, vegetation, latitude, albedo, and mean sea level pressure (MSLP), were estimated for January and July in the period 2001-2015 for Iran. In this study, due to the use of different data sources with different spatial resolutions, all maps were converted to the same spatial resolution

    Validating MODIS Cloud Mask Based on a Regional Cloud Mask of AVHRR

    E Ghasemifar, M Farajzadeh Asl, Y Ghavidel Rahimi, ...
    Journal Papers , , {Pages }

    Abstract

    Spatio-temporal variability of aerosol characteristics in Iran using remotely sensed datasets

    Mohammad Rezaei, Manuchehr Farajzadeh, Yousef Ghavidel, Khan Alam
    Journal PapersPollution , Volume 4 , Issue 1, 2018 January 1, {Pages 53-67 }

    Abstract

    The present study is the first attempt to examine temporal and spatial characteristics of aerosol properties and classify their modes over Iran. The data used in this study include the records of Aerosol Optical Depth (AOD) and Angstrom Exponent (AE) from MODerate Resolution Imaging Spectroradiometer (MODIS) and Aerosol Index (AI) from the Ozone Monitoring Instrument (OMI), obtained from 2005 to 2015. The high concentration of AOD and AI values (representing high-high cluster) have been observed in the southwest and east regions, while their low concentrations (representing low-low cluster) have been found in the high mountainous areas. Based on AE values, Iran has been divided into three distinct regions, including fine, mixture, and coars

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    دروس نیمسال جاری

    • دكتري
      تحليل سينوپتيكي مخاطرات محيطي ( واحد)
      دانشکده علوم انسانی، گروه جغرافياي طبيعي
    • دكتري
      انسان، سياست و آب و هوا ( واحد)
    • كارشناسي ارشد
      مباني نظري و علمي تغيير آب و هوا ( واحد)
    • كارشناسي ارشد
      مدل ها و سناريوهاي تغيير آب و هوا ( واحد)
    • كارشناسي ارشد
      مدل ها و سناريوهاي تغيير آب و هوا ( واحد)

    دروس نیمسال قبل

    • كارشناسي ارشد
      نظريه ها و روشهاي تحقيق در آب و هواشناسي ( واحد)
      دانشکده علوم انسانی، گروه جغرافياي طبيعي
    • كارشناسي ارشد
      روش هاي آب و هواشناسي سينوپتيك ( واحد)
    • كارشناسي ارشد
      روش هاي آب و هواشناسي سينوپتيك ( واحد)
    • دكتري
      رابطه آب و هوايي اتمسفر و اقيانوس ( واحد)
    • دكتري
      افقهاي جديد در آب و هوا شناسي ( واحد)
    • 1397
      فنايي نجف ابادي, راضيه
      تحليل روند زماني 185 ساله دماي ايران و ارتباط آن با فعاليت هاي خورشيدي و گازهاي گلخانه اي
    • 1398
      كارزاني, مرضيه
    • 1399
      صالحي پاك, تهمينه
    • 1399
      مهدي زاده سولا, جواد
    • رئیس مرکز مطالعات آفریقا
    • مدیر مرکز مطالعات آفریقا
    • مدیر امور فرهنگی
    • مدیر گروه آموزشی جغرافیای طبیعی
    • استاد نمونه تلاشگر دانشگاه در سال 1401
    • پژوهشگر نمونه دانشکده در سال 1401
    • کسب مقام سوم مسابقات فوتسال لیگ دانشگاه تربیت مدرس با تیم دانشکده علوم انسانی در سال 1398
    • نایب قهرمان مسابقات انفرادی تنیس روی میز کارکنان دولت در سال 1397
    • نایب قهرمانی مسابقات تنیس روی میز کارکنان دولت (تیمی) در سال 1397
    • نایب قهرمانی مسابقات فوتبال اساتید دانشگاه های تهران با تیم فوتسال اساتید دانشگاه تربیت مدرس در سال 1397

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