Professors

Professors of the Faculty

Varshavian Vahid

Varshavian Vahid (FA Page)

Assistant Professor

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Articles

Vahid Varshavian,Nozar Ghahreman,Abdolmajid liaghat,Mohammad Javane nickhah ,Forecasting of Potato Early Blight Disease Using Different Sets of Meteorological Data ,Canadian Journal of Basic and Applied Sciences (2292-3381) , ,2015 ,pp. 59-66 ,
Vahid Varshavian, ,Evaluation of stochastic and artificial intelligence models in modeling and predicting of river daily flow time series ,STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT , ,2020 ,pp. 33-50 ,
,Özgür Kisi,Vahid Varshavian ,Multivariate Drought Forecasting in Short- and Long-Term Horizons Using MSPI and Data-Driven Approaches ,JOURNAL OF HYDROLOGIC ENGINEERING , ,2021 ,pp. 04021006-... ,
,Vahid Varshavian ,Forecasting Different Types of Droughts Simultaneously Using Multivariate Standardized Precipitation Index (MSPI), MLP Neural Network, and Imperialistic Competitive Algorithm (ICA) ,COMPLEXITY , ,2021 ,pp. 1-16 ,
,Vijay p Singh,Vahid Varshavian ,Time series prediction of seasonal precipitation in Iran, using data-driven models: a comparison under different climatic conditions ,Arabian Journal of Geosciences , ,2021 ,pp. 1-14 ,
,gholamali kamali,Amir hossain Meshkati,Vahid Varshavian ,Study on the impact of climate change on evapotranspiration in west of Iran ,Arabian Journal of Geosciences , ,2020 ,pp. 1-11 ,
,Vahid Varshavian,Hadigheh Bahrami-Pichaghchi ,Hydrological drought forecasting using multi-scalar streamflow drought index, stochastic models and machine learning approaches, in northern Iran ,STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT , ,2021 ,pp. 1615-1635 ,
,Vahid Varshavian,Hadigheh Bahrami-Pichaghchi ,Hydrological drought forecasting using multi-scalar streamflow drought index, stochastic models and machine learning approaches, in northern Iran ,STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT , ,2021 ,pp. 1615-1635 ,
Vahid Varshavian, ,Özgür Kisi ,Closure to “Multivariate Drought Forecasting in Short- and Long-Term Horizons Using MSPI and Data-Driven Approaches” by Pouya Aghelpour, Ozgur Kisi, and Vahid Varshavian ,JOURNAL OF HYDROLOGIC ENGINEERING , ,2022 ,pp. 07022008 ,
,gholamali kamali,Amir hossain Meshkati,Vahid Varshavian ,Performance analysis of LARS‑WG and SDSM downscaling models in simulating temperature and precipitation changes in the West of Iran ,Modeling Earth Systems and Environment , ,2022 ,pp. 4649-4659 ,
,Zahra Bagheri Khalili,Vahid Varshavian,Babak Mohammadi ,Evaluating Three Supervised Machine Learning Algorithms (LM, BR, and SCG) for Daily Pan Evaporation Estimation in a Semi-Arid Region ,Water , ,2022 ,pp. 3435 ,
,Vijay p Singh,Vahid Varshavian ,Time series prediction of seasonal precipitation in Iran, using data-driven models: a comparison under different climatic conditions ,Arabian Journal of Geosciences , ,2021 ,pp. 1-14 ,
Vahid Varshavian, ,Renata Graf,Hadigheh Bahrami-Pichaghchi,Mohammda Ali Gholami Sefidkouhi,Mojtaba Khoshravesh ,Evaluating the Impact of Large-Scale Climatic Indices as Inputs for Forecasting Monthly River Flow in Mazandaran Province, Iran ,PURE AND APPLIED GEOPHYSICS , ,2022 ,pp. 1309-1331 ,
Vahid Varshavian, ,Renata Graf,Hadigheh Bahrami-Pichaghchi,Mohammda Ali Gholami Sefidkouhi,Mojtaba Khoshravesh ,Evaluating the Impact of Large-Scale Climatic Indices as Inputs for Forecasting Monthly River Flow in Mazandaran Province, Iran ,PURE AND APPLIED GEOPHYSICS , ,2022 ,pp. 1309-1331 ,
mehraneh khodamoradpour,Vahid Varshavian, ,Zahra Hamedi ,Comparing three types of data‑driven models for monthly evapotranspiration prediction under heterogeneous climatic conditions ,Scientific Reports , ,2022 ,pp. 1-19 ,
,Hadigheh Bahrami-Pichaghchi,Vahid Varshavian, ,Evaluating the predictability of eight Atmospheric-Oceanic signals affecting Iran’s Droughts, employing intelligence based and stochastic methods ,ADVANCES IN SPACE RESEARCH , ,2023 ,pp. 2394-2415 ,
,Hadigheh Bahrami-Pichaghchi,Vahid Varshavian, ,Evaluating the predictability of eight Atmospheric-Oceanic signals affecting Iran’s Droughts, employing intelligence based and stochastic methods ,ADVANCES IN SPACE RESEARCH , ,2023 ,pp. 2394-2415 ,

Project Name	Degree	download-thesis	def-date

مدلسازی اثر تغییر اقلیم بر عملکرد ذرت در اقلیم آینده همدان	M.S	Download	1400/11/30
برآورد عملکرد گندم آبی با شاخص های خشکسالی هواشناسی کشاورزی و سنجش از دور در اقلیم نیمه خشک سرد	M.S	Download	1401/07/30
ارزیابی مناطق مستعد کشت گیاه گشنیز در دوره حال و آینده استان همدان	M.S	Download	1401/07/11
ارزیابی برخی شاخص های هواشناسی مبتنی بر دما در شرایط اقلیمی حال و آینده ایران	M.S	Download	1401/06/28
ارزیابی اثر تغییر اقلیم بر عملکرد گندم در اقلیم آینده همدان با استفاده از مدل DSSAT	M.S	Download	1401/07/30
برآورد عملکرد گندم آبی با شاخص های خشکسالی هواشناسی کشاورزی و سنجش از دور در اقلیم نیمه خشک سرد	M.S	Download	1401/07/30
مدلسازی اثر تغییر اقلیم بر عملکرد ذرت در اقلیم آینده همدان	M.S	Download	1400/11/30
ارزیابی مناطق مستعد کشت گیاه گشنیز در دوره حال و آینده استان همدان	M.S	Download	1401/07/11
ارزیابی اثر تغییر اقلیم بر عملکرد گندم در اقلیم آینده همدان با استفاده از مدل DSSAT	M.S	Download	1401/07/30
ارزیابی برخی شاخص های هواشناسی مبتنی بر دما در شرایط اقلیمی حال و آینده ایران	M.S	Download	1401/06/28
ارزیابی املاح موجود در ریزش های جوی برخی ایستگاه های منتخب هواشناسی استان همدان	M.S	Download	1399/08/24
پیش بینی شاخص بارش استاندارد چندمتغیره (MSPI) با استفاده از مدلهای هوش مصنوعی در چند نمونه اقلیمی ایران	M.S	Download	1398/04/23
ارزﯾﺎﺑﯽ ﺳﺎزﮔﺎری و ﺗﻨﻮع اﮐﻮﺗﯿﭗﻫﺎی ﮐﯿﻨﻮا ( Chenopodium quinoa Willd) با اﺳﺘﻔﺎده از ﻧﺸﺎﻧﮕﺮﻫﺎی ﻣﻮرﻓﻮﻟﻮژﯾﮑﯽ و رﯾﺰﻣﺎﻫﻮاره (SSR) درﺷﺮاﯾﻂ ﻣﺨﺘﻠﻒ رﻃﻮﺑﺘﯽ	M.S		1397/04/12
تعیین نیاز آبی و ضریب گیاهی کینوا در اقلیم نیمه خشک سرد	M.S	Download	1398/09/30

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