Rahim Barzegar

Fakhri M., Moghaddam A.A., Nadiri A.A., Barzegar R., Cloutier V., 2024. Incorporating hydraulic gradient and pumping rate into GALDIT framework to assess groundwater vulnerability to salinity in coastal aquifers: a case study from Urmia Plain, Iran. Environmental Science and Pollution Research 31(38), 50576-50594.

Fang J., Yang L., Wen X., Yu H., Li W., Adamowski J.F., Barzegar R., 2024. Ensemble learning using multivariate variational mode decomposition based on the Transformer for multi-step-ahead streamflow forecasting. Journal of Hydrology 636, 131275.

Heydari S., Reza Nikoo M., Mohammadi A., Barzegar R., 2024. Two-stage meta-ensembe machine learning model for enhanced water quality forecasting. Journal of Hydrology 641, 131767.

Jafarzadeh F., Asghari Moghaddam A., Razzagh S., Barzegar R., Cloutier V., Rosa E., 2024. A meta-ensemble machine learning strategy to assess groundwater holistic vulnerability in coastal aquifers. Groundwater for Sustainable Development 26, 101296.

Karimi M., Maleki A., Besharati S., Barzegar R., 2024. Modeling and simulation of a root-zone heating in greenhouse using solar collectors. Environmental Resources Research 12(1), 131-146.

Nadiri A.A., Jabraili-Andaryan N., Nikoo M.R., Barzegar R., Senapathi V., Towfiqul Islam A.R.M., 2024. Multi-contamination groundwater risk assessment based on integrated OSPRC framework considering receptor and consequence components. Groundwater for Sustainable Development 27, 101321.

Sharafi M., Ghorbani M.A., Barzegar R., Samadianfard S., 2024. Coupling artificial neural network and sperm swarm optimization for soil temperature prediction at multiple depths. Environmental Science and Pollution Research 31(47), 57903-57919.

Yu H., Yang L., Feng Q., Barzegar R., Adamowski J.F., Wen X., 2024. Ensemble learning of decomposition-based machine learning models for multistep-ahead daily streamflow forecasting in northwest China. Hydrological Sciences Journal 69(11), 1501-1522.

Bagyaraj M., Senapathi V., Chung S.Y., Gopalakrishnan G., Xiao Y., Karthikeyan S., Nadiri A.A., Barzegar R., 2023. A geospatial approach for assessing urban flood risk zones in Chennai, Tamil Nadu, India. Environmental Science and Pollution Research 30(45), 100562-100575.

Çiner A., Khan M.F., Kallel A., Rodrigo-Comino J., Parise M., Barzegar R., Ergüler Z.A., Ali I., Khelifi N., 2023. Preface. Advances in Science, Technology and Innovation, v.

Daneshmand F., Adamowski J., Martel R., Barzegar R., Hatami S., 2023. Regional Groundwater Flow Modeling Using Improved Isogeometric Analysis: Application and Implications in Unconfined Aquifer Systems. Water Resources Management 37(14), 5807-5827.

Gharekhani M., Nadiri A.A., Khatibi R., Nikoo M.R., Barzegar R., Sadeghfam S., Moghaddam A.A., 2023. Quantifying the groundwater total contamination risk using an inclusive multi-level modelling strategy. Journal of Environmental Management 332, 117287.

Khosravi K., Golkarian A., Barzegar R., Aaalami M.T., Heddam S., Omidvar E., Keesstra S.D., Lopez-Vicente M., 2023. Multi-step ahead soil temperature forecasting at different depths based on meteorological data: Integrating resampling algorithms and machine learning models. Pedosphere 33(3), 479-495.

Nolin A.F., Girardin M.P., Adamowski J.F., Barzegar R., Boucher M.-A., Tardif J.C., Bergeron Y., 2023. Observed and projected trends in spring flood discharges for the Upper Harricana River, eastern boreal Canada. Journal of Hydrology: Regional Studies 48, 101462.

Zamani M.G., Nikoo M.R., Jahanshahi S., Barzegar R., Meydani A., 2023. Forecasting water quality variable using deep learning and weighted averaging ensemble models. Environmental science and pollution research international 30(59), 124316-124340.

Khosravi K., Ngo P.T.T., Barzegar R., Quilty J., Aalami M.T., Bui D.T., 2022. Comparing the Soil Conservation Service model with new machine learning algorithms for predicting cumulative infiltration in semi-arid regions. Pedosphere 32(5), 718-732.

Nadiri A.A., Aghdam F.S., Razzagh S., Barzegar R., Jabraili-Andaryan N., Senapathi V., 2022. Using a soft computing OSPRC risk framework to analyze multiple contaminants from multiple sources; a case study from Khoy Plain, NW Iran. Chemosphere 308, 136527.

Nadiri A.A., Barzegar R., Sadeghfam S., Rostami A.A., 2022. Developing a Data-Fused Water Quality Index Based on Artificial Intelligence Models to Mitigate Conflicts between GQI and GWQI. Water 14(19), 3185.

Nadiri A.A., Habibi I., Gharekhani M., Sadeghfam S., Barzegar R., Karimzadeh S., 2022. Introducing dynamic land subsidence index based on the ALPRIFT framework using artificial intelligence techniques. Earth Science Informatics 15(2), 1007-1021.

Nadiri A.A., Sedghi Z., Barzegar R., Nikoo M.R., 2022. Establishing a Data Fusion Water Resources Risk Map Based on Aggregating Drinking Water Quality and Human Health Risk Indices. Water 14(21), 3390.

Panahi M., Khosravi K., Golkarian A., Roostaei M., Barzegar R., Omidvar E., Rezaie F., Saco P.M., Sharifi A., Jun C., Bateni S.M., Lee C.-W., Lee S., 2022. A country-wide assessment of Iran's land subsidence susceptibility using satellite-based InSAR and machine learning. Geocarto International 37(26), 14065-14087.

Yang L., Feng Q., Wen X., Barzegar R., Adamowski J.F., Zhu M., Yin Z., 2022. Contributions of climate, elevated atmospheric CO2 concentration and land surface changes to variation in water use efficiency in Northwest China, 2022. Catena 213, 106220.

Zhao P., Sprenger M., Barzegar R., Tang X., Adamowski J., 2022. Withdrawn: Similar Isotopic Biases of Plant Stem Bulk Water From Different Water Sources by Cryogenic Vacuum Distillation Demonstrated Through Rehydration Experiments. Geophysical Research Letters 49(13), e2021GL096474.

Barzegar R., Aalami M.T., Adamowski J., 2021. Coupling a hybrid CNN-LSTM deep learning model with a Boundary Corrected Maximal Overlap Discrete Wavelet Transform for multiscale Lake water level forecasting. Journal of Hydrology 598, 126196.

Barzegar R., Razzagh S., Quilty J., Adamowski J., Kheyrollah Pour H., Booij M.J., 2021. Improving GALDIT-based groundwater vulnerability predictive mapping using coupled resampling algorithms and machine learning model. Journal of Hydrology 598, 126370.

Jahromi M.N., Gomeh Z., Busico G., Barzegar R., Samany N.N., Aalami M.T., Tedesco D., Mastrocicco M., Kazakis N., 2021. Developing a SINTACS-based method to map groundwater multi-pollutant vulnerability using evolutionary algorithms. Environmental Science and Pollution Research 28(7), 7854-7869.

Khosravi K., Golkarian A., Booij M.J., Barzegar R., Sun W., Yaseen Z.M., Mosavi A., 2021. Improving daily stochastic stream flow prediction: comparison of novel hybrid data-mining algorithms. Hydrological Sciences Journal 66(9), 1457-1474.

Khosravi K., Barzegar R., Golkarian A., Busico G., Cuoco E., Mastrocicco M., Colombani N., Tedesco D., Ntona M.M., Kazakis N., 2021. Predictive modeling of selected trace elements in groundwater using hybrid algorithms of iterative classifier optimizer. Journal of Contaminant Hydrology 242, 103849.

Liu W., Yang L., Zhu M., Adamowski J.F., Barzegar R., Wen X., Yin Z., 2021. Effect of elevation on variation in reference evapotranspiration under climate change in northwest China. Sustainability 13(18), 10151.

Nadiri A.A., Moazamnia M., Sadeghfam S., Barzegar R., 2021. Mapping risk to land subsidence: developing a two-level modeling strategy by combining multi-criteria decision-making and artificial intelligence techniques. Water 13(19), 2622.

Barzegar R., Aalami M.T., Adamowski J., 2020. Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model. Stochastic Environmental Research and Risk Assessment 34(2), 415-433.

Barzegar R., Asghari Moghaddam A., Norallahi S., Inam A., Adamowski J., Alizadeh M.R., Bou Nassar J., 2020. Modification of the DRASTIC Framework for Mapping Groundwater Vulnerability Zones. Groundwater 58(3), 441-452.

Barzegar R., Asghari Moghaddam A., Tziritis E., Adamowski J., Bou Nassar J., Noori M., Aalami M.T., Kazemian N., 2020. Exploring the hydrogeochemical evolution of cold and thermal waters in the Sarein-Nir area, Iran using stable isotopes (δ18O and δD), geothermometry and multivariate statistical approaches. Geothermics 85, 101815.

Barzegar R., Sattarpour M., Deo R., Fijani E., Adamowski J., 2020. An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks. Neural Computing and Applications 32(13), 9065-9080.

Khosravi K., Barzegar R., Miraki S., Adamowski J., Daggupati P., Alizadeh M.R., Pham B.T., Alami M.T., 2020. Stochastic Modeling of Groundwater Fluoride Contamination: Introducing Lazy Learners. Groundwater 58(5), 723-734.

Roy D.K., Barzegar R., Quilty J., Adamowski J., 2020. Using ensembles of adaptive neuro-fuzzy inference system and optimization algorithms to predict reference evapotranspiration in subtropical climatic zones. Journal of Hydrology 591, 125509.

Barzegar R., Asghari Moghaddam A., Adamowski J., Nazemi A.H., 2019. Assessing the potential origins and human health risks of trace elements in groundwater: A case study in the Khoy plain, Iran. Environmental Geochemistry and Health 41(2), 981-1002.

Barzegar R., Asghari Moghaddam A., Adamowski J., Nazemi A.H., 2019. Delimitation of groundwater zones under contamination risk using a bagged ensemble of optimized DRASTIC frameworks. Environmental Science and Pollution Research 26(8), 8325-8339.

Barzegar R., Asghari Moghaddam A., Soltani S., Baomid N., Tziritis E., Adamowski J., Inam A., 2019. Natural and anthropogenic origins of selected trace elements in the surface waters of Tabriz area, Iran. Environmental Earth Sciences 78(8), 254.

Barzegar R., Asghari Moghaddam A., Soltani S., Fijani E., Tziritis E., Kazemian N., 2019. Heavy Metal(loid)s in the Groundwater of Shabestar Area (NW Iran): Source Identification and Health Risk Assessment. Exposure and Health 11(4), 251-265.

Barzegar R., Ghasri M., Qi Z., Quilty J., Adamowski J., 2019. Using bootstrap ELM and LSSVM models to estimate river ice thickness in the Mackenzie River Basin in the Northwest Territories, Canada. Journal of Hydrology 577, 123903.

Fijani E., Barzegar R., Deo R., Tziritis E., Konstantinos S., 2019. Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters. Science of the Total Environment 648, 839-853.

Kadkhodaie F., Asghari Moghaddam A., Barzegar R., Gharekhani M., Kadkhodaie A., 2019. Optimizing the DRASTIC vulnerability approach to overcome the subjectivity: a case study from Shabestar plain, Iran. Arabian Journal of Geosciences 12(16), 527.

Barzegar R., Asghari Moghaddam A., Adamowski J., Ozga-Zielinski B., 2018. Multi-step water quality forecasting using a boosting ensemble multi-wavelet extreme learning machine model. Stochastic Environmental Research and Risk Assessment 32(3), 799-813.

Barzegar R., Asghari Moghaddam A., Nazemi A.H., Adamowski J., 2018. Evidence for the occurrence of hydrogeochemical processes in the groundwater of Khoy plain, northwestern Iran, using ionic ratios and geochemical modeling. Environmental Earth Sciences 77(16), 597.

Barzegar R., Moghaddam A.A., Deo R., Fijani E., Tziritis E., 2018. Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms. Science of the Total Environment 621, 697-712.

Esmaeili S., Asghari Moghaddam A., Barzegar R., Tziritis E., 2018. Multivariate statistics and hydrogeochemical modeling for source identification of major elements and heavy metals in the groundwater of Qareh-Ziaeddin plain, NW Iran. Arabian Journal of Geosciences 11(1), 5.

Rezaei A., Hassani H., Hayati M., Jabbari N., Barzegar R., 2018. Risk assessment and ranking of heavy metals concentration in Iran’s Rayen groundwater basin using linear assignment method. Stochastic Environmental Research and Risk Assessment 32(5), 1317-1336.

Barzegar R., Asghari Moghaddam A., Adamowski J., Fijani E., 2017. Comparison of machine learning models for predicting fluoride contamination in groundwater. Stochastic Environmental Research and Risk Assessment 31(10), 2705-2718.

Barzegar R., Asghari Moghaddam A., Tziritis E., 2017. Erratum to: Assessing the hydrogeochemistry and water quality of the Aji-Chay River, northwest of Iran (Environmental Earth Sciences, (2016), 75, 23, (1486), 10.1007/s12665-016-6302-1). Environmental Earth Sciences 76(15), 544.

Barzegar R., Asghari Moghaddam A., Tziritis E., 2017. Hydrogeochemical features of groundwater resources in Tabriz plain, northwest of Iran. Applied Water Science 7(7), 3997-4011.

Barzegar R., Fijani E., Asghari Moghaddam A., Tziritis E., 2017. Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models. Science of the Total Environment 599-600, 20-31.

Barzegar R., Moghaddam A.A., Tziritis E., Fakhri M.S., Soltani S., 2017. Identification of hydrogeochemical processes and pollution sources of groundwater resources in the Marand plain, northwest of Iran. Environmental Earth Sciences 76(7), 297.

Soltani S., Asghari Moghaddam A., Barzegar R., Kazemian N., Tziritis E., 2017. Hydrogeochemistry and water quality of the Kordkandi-Duzduzan plain, NW Iran: application of multivariate statistical analysis and PoS index. Environmental Monitoring and Assessment 189(9), 455.

Tziritis E.P., Datta P.S., Barzegar R., 2017. Characterization and Assessment of Groundwater Resources in a Complex Hydrological Basin of Central Greece (Kopaida basin) with the Joint Use of Hydrogeochemical Analysis, Multivariate Statistics and Stable Isotopes. Aquatic Geochemistry 23(4), 271-298.

Barzegar R., Adamowski J., Moghaddam A.A., 2016. Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran. Stochastic Environmental Research and Risk Assessment 30(7), 1797-1819.

Barzegar R., Asghari Moghaddam A., 2016. Combining the advantages of neural networks using the concept of committee machine in the groundwater salinity prediction. Modeling Earth Systems and Environment 2(1), 26.

Barzegar R., Asghari Moghaddam A., Najib M., Kazemian N., Adamowski J., 2016. Characterization of hydrogeologic properties of the Tabriz plain multilayer aquifer system, NW Iran. Arabian Journal of Geosciences 9(2), 147.

Barzegar R., Asghari Moghaddam A., Tziritis E., 2016. Assessing the hydrogeochemistry and water quality of the Aji-Chay River, northwest of Iran. Environmental Earth Sciences 75(23), 1486.

Barzegar R., Moghaddam A.A., Baghban H., 2016. A supervised committee machine artificial intelligent for improving DRASTIC method to assess groundwater contamination risk: a case study from Tabriz plain aquifer, Iran. Stochastic Environmental Research and Risk Assessment 30(3), 883-899.

Barzegar R., Sattarpour M., Nikudel M.R., Moghaddam A.A., 2016. Comparative evaluation of artificial intelligence models for prediction of uniaxial compressive strength of travertine rocks, Case study: Azarshahr area, NW Iran. Modeling Earth Systems and Environment 2(2), 76.

Barzegar R., Asghari Moghaddam A., Kazemian N., 2015. Assessment of heavy metals concentrations with emphasis on arsenic in the Tabriz plain aquifers, Iran. Environmental Earth Sciences 74(1), 297-313.

Fakhri M.S., Moghaddam A.A., Najib M., Barzegar R., 2015. Investigation on nitrate concentrations in groundwater resources of marand plain and groundwater vulnerability assessment using Avi and gods methods. Journal of Environmental Studies 41(1), 49-66.