2025 : 6 : 7
فارسی
Vahid Varshavian

Vahid Varshavian

Academic rank: Assistant Professor
ORCID:
Education: PhD.
ScopusId:
HIndex:
Faculty: Faculty of Agriculture
Address:
Phone: 08134425895
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Research activities

Journal Papers
One to twelve‑month‑ahead forecasting of MODIS‑derived Qinghai Lake area, using neuro‑fuzzy system hybridized by firefly optimization . ., Hadigheh Bahrami-Pichaghchi, Vahid Varshavian, (2024) ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH: 31; 22900–22916
Evaluating the predictability of eight Atmospheric-Oceanic signals affecting Iran’s Droughts, employing intelligence based and stochastic methods . ., Hadigheh Bahrami-Pichaghchi, Vahid Varshavian, (2023) ADVANCES IN SPACE RESEARCH: 71; 2394-2415
Performance analysis of LARS‑WG and SDSM downscaling models in simulating temperature and precipitation changes in the West of Iran , gholamali kamali, Amir hossain Meshkati, Vahid Varshavian (2022) Modeling Earth Systems and Environment: 8(4); 4649-4659
Evaluating Three Supervised Machine Learning Algorithms (LM, BR, and SCG) for Daily Pan Evaporation Estimation in a Semi-Arid Region . ., Zahra Bagheri Khalili, Vahid Varshavian, Babak Mohammadi (2022) Water: 14(21); 3435
Comparing three types of data‑driven models for monthly evapotranspiration prediction under heterogeneous climatic conditions . ., Vahid Varshavian, mehraneh khodamoradpour, Zahra Hamedi (2022) Scientific Reports: 12; 1-19
Evaluating the Impact of Large-Scale Climatic Indices as Inputs for Forecasting Monthly River Flow in Mazandaran Province, Iran . ., Hadigheh Bahrami-Pichaghchi, Vahid Varshavian, Renata Graf, Mohammda Ali Gholami Sefidkouhi, Mojtaba Khoshravesh (2022) PURE AND APPLIED GEOPHYSICS: 179(4); 1309-1331
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 . ., Özgür Kisi, Vahid Varshavian (2022) JOURNAL OF HYDROLOGIC ENGINEERING: 21(11); 07022008
Hydrological drought forecasting using multi-scalar streamflow drought index, stochastic models and machine learning approaches, in northern Iran . ., Hadigheh Bahrami-Pichaghchi, Vahid Varshavian (2021) STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT: 35; 1615-1635
Multivariate Drought Forecasting in Short- and Long-Term Horizons Using MSPI and Data-Driven Approaches . ., Özgür Kisi, Vahid Varshavian (2021) JOURNAL OF HYDROLOGIC ENGINEERING: 26; 04021006-...
Time series prediction of seasonal precipitation in Iran, using data-driven models: a comparison under different climatic conditions . ., Vijay P Singh, Vahid Varshavian (2021) Arabian Journal of Geosciences: 14(551); 1-14
Forecasting Different Types of Droughts Simultaneously Using Multivariate Standardized Precipitation Index (MSPI), MLP Neural Network, and Imperialistic Competitive Algorithm (ICA) . ., Vahid Varshavian (2021) COMPLEXITY: 2021; 1-16
Study on the impact of climate change on evapotranspiration in west of Iran , gholamali kamali, Amir hossain Meshkati, Vahid Varshavian (2020) Arabian Journal of Geosciences: 13:722; 1-11
Evaluation of stochastic and artificial intelligence models in modeling and predicting of river daily flow time series . ., Vahid Varshavian (2020) STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT: 34; 33-50
Forecasting of Potato Early Blight Disease Using Different Sets of Meteorological Data Nozar Ghahreman, Vahid Varshavian, Mohammad Javane nickhah, Abdolmajid liaghat (2015) Canadian Journal of Basic and Applied Sciences (2292-3381): Vol. 03(02); 59-66
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