Rahim Barzegar

Hydro-Environment and Artificial Intelligence

Farhang Daneshmand, Jan Adamowski, Richard Martel, Rahim Barzegar. Water Flow Modeling Using Improved Isogeometric Analysis:Application and Implications in Unconfined Aquifer Systems. Water Resources Management 2023; 37, 5807–5827., https://doi.org/10.1007/s11269-023-03631-9

Murugesan Bagyaraj, Venkatramanan Senapathi, Sang Yong Chung, Gnanachandrasamy Gopalakrishnan, Yong Xiao, Sivakumar Karthikeyan, Ata Allah Nadiri, Rahim Barzegar: A geospatial approach for assessing urban flood risk zones in Chennai, Tamil Nadu, India. Environmental Science and Pollution Research 2023; 30, 100562–100575., https://doi.org/10.1007/s11356-023-29132-1

Mohammad Ghadir Zamani, MohammadRezaNikoo, Sina Jahanshahi, Rahim Barzegar, Amirreza Meydani: Forecasting water quality variable using deep learning and weighted averaging ensemble models. Environmental Science and Pollution Research 2023; 30(59), 124316-124340., https://doi.org/10.1007/s11356-023-30774-4

Alexander Florin Nolin, Martin P Girardin, Jan Franklin Adamowski, Rahim Barzegar, Marie-Amélie Boucher, Jacques Tardif, Yves Bergeron: Observed and projected trends in spring flood discharges for the Upper Harricana River, eastern boreal Canada. Journal of Hydrology: Regional Studies 2023; 48, 101462., https://doi.org/10.1016/j.jhydrol.2021.126084

Khabat Khosravi, Phuong T. T. Ngo, Rahim Barzegar, John Quilty, Mohammad Taghi Aalami, Dieu T. Bui: Comparing the Soil Conservation Service Model with New Machine Learning Algorithms for Predicting Cumulative Infiltration in Semi-arid Regions. Pedosphere 2023; 33 (3), 479-495., https://doi.org/10.1016/j.pedsph.2022.06.056

Maryam Gharekhani; Ata Allah Nadiri, Rahman Khatibi; Mohammad Reza Nikoo; Rahim Barzegar; Sina Sadeghfam: Quantifying the Groundwater Total Contamination Risk using a Multi-level Modelling Strategy. Journal of Environmental Management 2023; 332, 117287., https://doi.org/10.1016/j.jenvman.2023.117287

Ata Allah Nadiri, Fariba Sadeghi Aghdam, Siamak Razzagh, Rahim Barzegar, Nasser Jabraieli, Venkatramanan Senapathi: Using a soft computing OSPRC risk framework to analyze multiple contaminants from multiple sources; a case study from Khoy Plain, NW Iran. Chemosphere 2022; 308, 136527., https://doi.org/10.1016/j.chemosphere.2022.136527

Ata Allah Nadiri, Zahra Sedghi, Rahim Barzegar, Mohammadreza Nikoo: Establishing a data fusion water resources risk map based on aggregating drinking water quality and human health risk indices. Water 2022; 14(21), 3390; https://doi.org/10.3390/w14213390

Ata Allah Nadiri, Rahim Barzegar, Sina Sadeghfam, Ali Asghar Rostami: Developing a data fused water quality index based on artificial intelligence models to mitigate conflicts between GQI and GWQI. Water 2022; 14(19), 3185; https://doi.org/10.3390/w14193185

Linshan, Yang, Qi Feng, Rahim Barzegar, Jan Adamowski, Meng Zhu: Contributions of climate, elevated atmospheric CO2 and land surface changes to water use efficiency variation in Northwest China. CATENA 2022; 213, 106220., https://doi.org/10.1016/j.catena.2022.106220

Mahdi Panahi, Khabat Khosravi, Ali Golkarian, Mahsa Roostaei, Rahim Barzegar, Ebrahim Omidvar, Fatemeh Rezaei, Alireza Sharifi, Sayed M. Bateni, Essam Heggy, Patricia M. Saco, and Saro Lee: A country-wide assessment of Iran’s land subsidence susceptibility using satellite-based InSAR and machine learning. Geocarto International 2022; 37 (26), 14065-14087., https://doi.org/10.1080/10106049.2022.2086631

Ata Allah Nadiri, Iraj Habibi, Maryam Gharekhani, Sina Sadeghfam, Rahim Bazegar, Sadra Karimzadeh: Introducing Dynamic Land Subsidence Index based on the ALPRIFT Framework using Artificial Intelligence Techniques. Earth Science Informatics. 15, 1007–1021., https://doi.org/10.1007/s12145-021-00760-w

Rahim Barzegar, Siamak Razzagh, John Quilty, Jan Adamowski, Homa Kheyrollah Pour, Martijn J. Booij: Improving GALDIT-based groundwater vulnerability predictive mapping using coupled resampling algorithms and machine learning models. Journal of Hydrology 2021; 598, 126370., https://doi.org/10.1016/j.jhydrol.2021.126370

Wei Liu, Linshan Yang, Meng Zhu, Jan Adamowski, Rahim Barzegar, Xiaohu Wen, Zhenliang Yin: Effect of Elevation on Variation in Reference Evapotranspiration under Climate Change in Northwest China. Sustainability 2021; 13(18), 10151., https://doi.org/10.3390/su131810151

Khabat Khosravi, Rahim Barzegar, Gianluigi Busico, Emilio Cuoco, Micol Mastrocicco, Nicolo Colombani, Dario Tedesco, Nerantzis Kazakis: Predictive modeling of selected trace elements in groundwater using hybrid algorithms of iterative classifier optimizer. Journal of Contaminant Hydrology 2021; 242, 103849., https://doi.org/10.1016/j.jconhyd.2021.103849

Rahim Barzegar, Mohammad Taghi Aalami, Jan Adamowski: 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 2021; 598, 126196., https://doi.org/10.1016/j.jhydrol.2021.126196

Khabat Khosravi, Ali Golkarian, Martijn J. Booij, Rahim Barzegar, Wei Sun, Zaher Yassen, Amir Mosavi: Improving daily stochastic streamflow prediction: Comparison of novel hybrid data mining algorithms. Hydrological Sciences Journal 2021; 66 (9) 1457–1474., https://doi.org/10.1080/02626667.2021.1928673

Dilip Kumar Roy, Rahim Barzegar, John Quilty, Jan Adamowski: Using ensembles of adaptive neuro-fuzzy inference system and optimization algorithms to predict reference evapotranspiration in subtropical climatic zones. Journal of Hydrology 2020; 591, 125509., https://doi.org/10.1016/j.jhydrol.2020.125509

Maryam Naghdizadegan Jahromi, Zinat Gomeh, Gianluigi Busico, Rahim Barzegar, Najmeh Neysani Samany, Mohammad Taghi Aalami, Dario Tedesco, Micol Mastrocicco, Nerantzis Kazakis: Developing a SINTACS-based method to map groundwater multi-pollutant vulnerability using evolutionary algorithms. Environmental Science and Pollution Research 2020; 28, 7854–7869., https://doi.org/10.1007/s11356-020-11089-0

Rahim Barzegar, Mohammad Taghi Aalami, Jan Adamowski: Short-Term Water Quality Variable Prediction Using the Hybrid CNN-LSTM Deep Learning Model. Stochastic Environmental Research and Risk Assessment 2020; 34, 415–433., https://doi.org/10.1007/s00477-020-01776-2

Rahim Barzegar, Asghar Asghari Mohaddam, Evangelos Tziritis, Jan Adamowski, Jessica Bou Nassar, Mohammad Noori, Naeimeh Kazemian: 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 2020; 85, 101815., https://doi.org/10.1016/j.geothermics.2020.101815

Khabat Khosravi, Rahim Barzegar, Shaghayegh Miraki, Jan Adamowski, Prasad Daggupati, Mohammadreza Alizadeh, Binh Thai Pham, Mohammad Taghi Alami: Stochastic Modeling of Groundwater Fluoride Contamination: Introducing Lazy Learners. Groundwater Journal 2020; 58 (5), 723-734., https://doi.org/10.1111/gwat.12963

Rahim Barzegar, Masoud Sattarpour, Ravinesh Deo, Elham Fijani, Jan Adamowski: An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks. Neural Computing and Applications 2020; 32, 9065–9080., https://doi.org/10.1007/s00521-019-04418-z

Rahim Barzegar, Asghar Asghari Moghaddam, Shahrokh Norallahi, Azhar Inam, Jan Adamowski, Mohammadreza Alizadeh, Jessica Bou Nassar: Modification of the DRASTIC Framework for Mapping Groundwater Vulnerability Zones. Groundwater Journal. 2020, 58 (3), 441-452., https://doi.org/10.1111/gwat.12919

Rahim Barzegar, Mahsa Ghasri, Zhimimg Qi, John Quilty, Jan Adamowski: Using bootstrap ELM and LSSVM models to estimate river ice thickness in the Mackenzie River Basin in the Northwest Territories, Canada. Journal of Hydrology 2019; 577:123903., https://doi.org/10.1016/j.jhydrol.2019.06.075

Fatemeh Kadkhodaie, Asghar Asghari Moghaddam, Rahim Barzegar, Maryam Gharekhani, Ali Kadkhodaie: Optimizing the DRASTIC vulnerability approach to overcome the subjectivity: a case study from Shabestar plain, Iran. Arabian Journal of Geosciences 2019, 12:527., https://doi.org/10.1007/s12517-019-4647-y

Rahim Barzegar, Asghar Asghari Moghaddam, Shahla Soltani, Narges Baomid, Evangelos Tziritis, Jan Adamowski, Azhar Inam: Natural and anthropogenic origins of selected trace elements in the surface waters of Tabriz area, Iran. Environmental Earth Sciences 2019; 78:254., https://doi.org/10.1007/s12665-019-8250-z

Rahim Barzegar, Asghar Asghari Moghaddam, Jan Adamowski, Amir Hossein Nazemi: 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 2018; 1-22., https://doi.org/10.1007/s10653-018-0194-9

Rahim Barzegar, Asghar Asghari Moghaddam, Jan Adamowski, Amir Hossein Nazemi: Delimitation of groundwater zones under contamination risk using a bagged ensemble of optimized DRASTIC frameworks. Environmental Science and Pollution Research 2019; 26, 8325–8339., https://doi.org/10.1007/s11356-019-04252-9

Rahim Barzegar, Asghar Asghari Moghaddam, AmirHossein Nazemi, Jan Adamowski: Evidence for the occurrence of hydrogeochemical processes in the groundwater of Khoy plain, northwestern Iran, using ionic ratios and geochemical modeling. Environmental Earth Sciences 2018; 77, 597., https://doi.org/10.1007/s12665-018-7782-y

Elham Fijani, Rahim Barzegar, Ravinesh Deo, Evangelos Tziritis, Scordas Konstantinos: 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 2019; 648, 839-853., https://doi.org/ 10.1016/j.scitotenv.2018.08.221

Rahim Barzegar, Asghar Asghari Moghaddam, Ravinesh Deo, Elham Fijani, Evangelos Tziritis: Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms. Science of The Total Environment 2018; 621C:697–712., https://doi.org/10.1016/j.scitotenv.2017.11.185

Somayeh Esmaeili, Asghar Asghari Moghaddam, Rahim Barzegar, Evangelos Tziritis: 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 2018; 11(5)., https://doi.org/10.1007/s12517-017-3317-1

Rahim Barzegar, Asghar Asghari Moghaddam, Shahla Soltani, Elham Fijani, Evangelos Tziritis, Naeimeh Kazemian: Heavy Metal(loid)s in the Groundwater of Shabestar Area (NW Iran): Source Identification and Health Risk Assessment. Water Quality Exposure and Health 2017; 11, 251–265., https://doi.org/10.1007/s12403-017-0267-5

Ali Rezaei, Hossein Hassani, Mohammad Hayati, Nima Jabbari, Rahim Barzegar: Risk assessment and ranking of heavy metals concentration in Iran’s Rayen groundwater basin using linear assignment method. Stochastic Environmental Research and Risk Assessment 2017; 32, 1317–1336., https://doi.org/10.1007/s00477-017-1477-x

Evangelos P. Tziritis, Partha S. Datta, Rahim Barzegar: 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 2017; 23, 271–298., https://doi.org/10.1007/s10498-017-9322-x

Rahim Barzegar, Asghar Asghari Moghaddam, Evangelos Tziritis: Erratum to: Assessing the hydrogeochemistry and water quality of the Aji-Chay River, northwest of Iran. Environmental Earth Sciences 2017; 76(544)., https://doi.org/10.1007/s12665-017-6837-9

Shahla Soltani, Asghar Asghari Moghaddam, Rahim Barzegar, Naeimeh Kazemian, Evangelos Tziritis: Hydrogeochemistry and water quality of the Kordkandi-Duzduzan plain, NW Iran: application of multivariate statistical analysis and PoS index. Environmental Monitoring and Assessment 2017; 189(9):455., https://doi.org/10.1007/s10661-017-6171-4

Rahim Barzegar, Elham Fijani, Asghar Asghari Moghaddam, Evangelos Tziritis: Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models. Science of The Total Environment 2017; 599(600C):20-31. https://doi.org/10.1016/j.scitotenv.2017.04.189

Rahim Barzegar, Asghar Asghari Moghaddam, Evangelos Tziritis, Mir Sajjad Fakhri, Shahla Soltani: Identification of hydrogeochemical processes and pollution sources of groundwater resources in the Marand plain, northwest of Iran. Environmental Earth Sciences 2017; 76(7):296., https://doi.org/10.1007/s12665-017-6612-y

Rahim Barzegar, Asghar Asghari Moghaddam, Evangelos Tziritis: Hydrogeochemical features of groundwater resources in Tabriz plain, northwest of Iran. Applied Water Science 2017; 7, 3997–4011., https://doi.org/10.1007/s13201-017-0550-4

Rahim Barzegar, Asghar Asghari Moghaddam, Jan Adamowski, Bogdan Ozga-Zielinski: Multi-step water quality forecasting using a boosting ensemble multi-wavelet extreme learning machine model. Stochastic Environmental Research and Risk Assessment 2017; 32, 799–813., https://doi.org/10.1007/s00477-017-1394-z

Rahim Barzegar, Asghar Asghari Moghaddam, Evangelos Tziritis: Assessing the hydrogeochemistry and water quality of the Aji–Chay River, northwest of Iran. Environmental Earth Sciences 2016; 75(23)., https://doi.org/10.1007/s12665-016-6302-1

Rahim Barzegar, Asghar Asghari Moghaddam, Jan Adamowski, Elham Fijani: Comparison of machine learning models for predicting fluoride contamination in groundwater. Stochastic Environmental Research and Risk Assessment 2016; https://doi.org/10.1007/s00477-016-1338-z

Rahim Barzegar, Masoud Sattarpour, Mohammad Reza Nikudel, Asghar Asghari Moghaddam: Comparative evaluation of artificial intelligence models for prediction of uniaxial compressive strength of travertine rocks, Case study: Azarshahr area, NW Iran. 2016; 2(2)., https://doi.org/10.1007/s40808-016-0132-8

Rahim Barzegar, Asghar Asghari Moghaddam: Combining the advantages of neural networks using the concept of committee machine in the groundwater salinity prediction. Modeling Earth Systems and Environment 2016; 2(1)., https://doi.org/10.1007/s40808-015-0072-8

Rahim Barzegar, Asghar Asghari Moghaddam, Hamed Baghban: 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 2016; 30(3):883-899., https://doi.org/10.1007/s00477-015-1088-3

Rahim Barzegar, Asghar Asghari Moghaddam, Mortaza Najib, Naeimeh Kazemian, Jan Adamowski: Characterization of hydrogeologic properties of the Tabriz plain multi-layer aquifer system, NW Iran. Arabian Journal of Geosciences 2016; 9(2)., https://doi.org/10.1007/s12517-015-2229-1

Rahim Barzegar, Jan Adamowski, Asghar Asghari Moghaddam: 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 2016; 30(7)., https://doi.org/10.1007/s00477-016-1213-y

Rahim Barzegar, Asghar Asghari Moghaddam, Naeimeh Kazemian: Assessment of heavy metals concentrations with emphasis on arsenic in the Tabriz plain aquifers, Iran. Environmental Earth Sciences 2015; 74:297–313., https://doi.org/10.1007/s12665-015-4123-2