Publications

Fatemeh Kadkhodaie, Asghar Asghari Moghaddam, Rahim Barzegar: An interpretable random forest–enhanced DRASTIC framework for groundwater vulnerability mapping in the Meshginshahr Plain, northwestern Iran. Sustain. Water Resour. Manag. 12, 71 (2026).

Shadi Hatami, Masoud Zaerpour, André S. Ballarin, Rahim Barzegar, Simon Michael Papalexiou, Alain Pietroniro, Jan Franklin Adamowski (2026). Climate change both increases and decreases winter snowmelt across North America. Journal of Hydrology, 136410.

Amir Reza Niknam, Ali Barzkar, Rahim Barzegar: Integrating entropy-based water quality index and deep learning forecasting for uncertainty-aware assessment of the Dez Dam Reservoir, Iran. Earth Syst Environ (2026).

Rahim Barzegar, Ehsan Raei, Jan Adamowski: Explaining Great Lakes water level variability through interpretable ensemble machine learning. Science of The Total Environment 2026; 1013, 181302.

Vincent Cloutier, Raphaël Bondu, Eric Rosa, Magalie Roy, Christelle Guilhe-Batiot, Yohann Cousquer, Rahim Barzegar: Spatial distribution of geogenic contaminants in groundwater of the Abitibi region, Western Québec. Geoscience Canada 2025; 52(2).

Mirsajad Fakhri, Asghar Asghari Moghaddam, Ata Allah Nadiri, Vincent Cloutier, Rahim Barzegar: Extending DRASTIC vulnerability method for groundwater salinity assessment in the Urmia coastal aquifer, NW Iran. Sustainable Water Resources Management 2025; 11, 123.

Soheil Khosravi, Mohammad Reza Nikoo, Mohammad G. Zamani, Rahim Barzegar, Parsa Najafipour, Amir H. Gandomi: Enhancing long-term water quality forecasting with a hybrid deep learning approach integrating MODWT, CNN, and GRU. Hydrological Sciences Journal 2025.

Ali Asghar Rostami, Zahra Sedghi, Ata Allah Nadiri, Rahim Barzegar, Natasha Dimova, Venkatramanan Senapathi, Abu Reza Md. Towfiqul Islam: Harnessing deep learning for fusion-based heavy metal contamination index prediction in groundwater. Journal of Contaminant Hydrology 2025; 274, 104672.

Ata Allah Nadiri, Zeynab Abdollahi, Zahra Sedghi, Rahman Khatibi, Rahim Barzegar: Learning from multiple frameworks for aquifer vulnerability mapping and multiple modelling practices in groundwater vulnerability mapping studies. Applied Water Science 2025; 15, 225.

Venkatramanan Senapathi, Bagyaraj Murugesan, Gurugnanam Balasubramaniam, Bairavi Swaminathan, Sivakumar Karthikeyan, Rahim Barzegar, Ata Allah Nadiri: Unveiling air quality shifts during Diwali in Chennai using geospatial insights for pollution assessment. Discover Geoscience 2025; 3, 62.

Zahra Sedghi, Ata Allah Nadiri, Frank T.-C. Tsai, Rahim Barzegar, Venkatramanan Senapathi, Abu Reza Md. Towfiqul Islam: Advanced probabilistic health risk assessment of water contamination: Evaluating PTE exposure and public health implications in complex hydrogeological settings. Earth Systems and Environment 2025.

Milad Sharafi, Mohammad Ali Ghorbani, Rahim Barzegar, Saeed Samadianfard: Coupling artificial neural network and sperm swarm optimization for soil temperature prediction at multiple depths. Environmental Science and Pollution Research 2024; 32, 57903–57919.

Ata Allah Nadiri, Nasser Jabraili-Andaryan, Mohammad Reza Nikoo, Rahim Barzegar, Venkatramanan Senapathi, Abu Reza Md. Towfiqul Islam: Multi-contamination groundwater risk assessment based on integrated OSPRC framework considering receptor and consequence components. Groundwater for Sustainable Development 2024; 27, 101321.

Fatemeh Jafarzadeh, Asghar Asghari Moghaddam, Siamak Razzagh, Rahim Barzegar, Vincent Cloutier, Eric Rosa: A meta-ensemble machine learning strategy to assess groundwater holistic vulnerability in coastal aquifers. Groundwater for Sustainable Development 2024; 26, 101296.

Sepideh Heydari, Mohammad Reza Nikoo, Ali Mohammadi, Rahim Barzegar: Two-stage meta-ensembling machine learning model for enhanced water quality forecasting. Journal of Hydrology 2024; 641, 131767.

Jinjie Fang, Linshan Yang, Xiaohu Wen, Haijiao Lu, Weide Li, Jan Adamowski, Rahim Barzegar: Ensemble learning using multivariate variational mode decomposition based on the transformer for multistep-ahead streamflow forecasting. Journal of Hydrology 2024; 637, 131275.

Mirsajsd Fakhri, Asghar Asghari Moghaddam, Ata Allah Nadiri, Rahim Barzegar, Vincent Cloutier: 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 2024; 31, 50576–50594.

Haijiao Yu, Linshan Yang, Qi Feng, Rahim Barzegar, Jan Adamowski, Xiaohu Wen: Ensemble learning of decomposition-based machine learning models for multistep-ahead daily streamflow forecasting in northwest China. Hydrological Sciences Journal 2024; 69(11), 1501–1522.

Mohammad Ghadir Zamani, Mohammad Reza Nikoo, 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, 124316–124340.

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.

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.

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.

Farhang Daneshmand, Jan Adamowski, Richard Martel, Rahim Barzegar, Shadi Hatami: Regional groundwater flow modeling using improved isogeometric analysis: Application and implications in unconfined aquifer systems. Water Resources Management 2023; 37, 5807–5827.

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.

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.

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.

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.

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.

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.

Ata Allah Nadiri, Iraj Habibi, Maryam Gharekhani, Sina Sadeghfam, Rahim Barzegar, Sadra Karimzadeh: Introducing Dynamic Land Subsidence Index based on the ALPRIFT Framework using Artificial Intelligence Techniques. Earth Science Informatics 2022; 15, 1007–1021.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Asghar Asghari Moghaddam, Fatemeh Kadkhodaie, Rahim Barzegar, Maryam Gharekhani: Comparison of Neural Network and Neuro-Fuzzy Techniques to Improve the DRASTIC Framework (Case Study: Shabestar plain Aquifer). Water and Soil Science 2020; 30 (1), 1-14. (In Persian).

Shahrokh Norallahi, Asghar Asghari Moghaddam, Fijani Elham, Rahim Barzegar: Assessing the effective factors on groundwater quality of Meshgin-Shahr plain aquifer (Ardebil province) with emphasis on possible origin of some heavy metals. Journal of Geosciences 2020; 29 (4), 143-152. (In Persian).

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.

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.

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.

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.

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.

Rahim Barzegar, Asghar Asghari Moghaddam, Elham Fijani: Forecasting Monthly Water Level Fluctuations of Lake Urmia Using Supervised Committee Machine Artificial Intelligence Model. Water and Soil Science 2019; 29 (1), 151-163. (ISC, In Persian).

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.

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.

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.

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).

Rahim Barzegar, Asghar Asghari Moghaddam, Shahla Soltani: Modeling of daily water level fluctuations of the Urmia Lake using extreme learning machine model. Iranian Journal of Watershed Management Science and Engineering 2018; Accepted (In Persian).

Somayeh Esmaeili, Asghar Asghari Moghaddam, Rahim Barzegar, Naeimeh Kazemian: The effective factors on groundwater chemical quality of Qareh-Ziaeddin plain, West Azarbaijan province. Journal of Geosciences 2018; (In Persian).

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.

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.

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.

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).

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.

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.

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.

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.

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.

Shahla Soltani, Asghar Asghari Moghaddam, Rahim Barzegar, Naeimeh Kazemian: Evaluation of nitrate concentration and vulnerability of the groundwater by GODS and AVI methods (case study: Kordkandi-Duzduzan Plain, East Azarbaijan province). Ecohydrology 2017; 4: 517-531. (In Persian).

Shahla Soltani, Asghar Asghari Moghaddam, Rahim Barzegar, Naeimeh Kazemian: Identifying Effective Processes on Groundwater Chemistry of the Kordkandi-Duzduzan Plain Aquifer. Water and Soil Science 2017; 27(2): 77-89. (In Persian).

Shahla Soltani, Asghar Asghari Moghaddam, Rahim Barzegar, Naeimeh Kazemian: Vulnerability assessment of Kordkandi- Duzduzan Plain groundwater using calibrated DRASTIC model. Iran-Water Resources Research 2017; Accepted (In Persian).

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).

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.

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).

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).

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.

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).

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).

Rahim Barzegar, Asghar Asghari Moghaddam, Mortaza Najib, Naeimeh Kazemian: Investigation of hydrogeochemical characteristics of the Tabriz Plain aquifer using hydrochemical models and statistical methods. Iranian Journal of Watershed Management Science and Engineering 2016; 10(32): 39-50. (In Persian).

Sajad Fakhri, Asghar Asghari Moghaddam, Rahim Barzegar, Naeimeh Kazemian, Morteza Najib: Investigating the Origin of Some Heavy Metals in Groundwater of Marand Plain Using Multivariate Statistical Methods. Water and Soil Science 2016; 2(2): 237-253. (In Persian).

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.

Mir Sajad Fakhri, Asghar Asghari Moghaddam, Naeimeh Kazemian, Morteza Najib, Rahim Barzegar: Investigation of nitrate concentrations in groundwater resources of Marand plain and groundwater vulnerability assessment using AVI and GODS methods. Journal of Environmental Studies 2015; 41(73): 1-12. (In Persian).

Rahim Barzegar, Asghar Asghari Moghaddam, Ata Allah Nadiri, Elham Fijani: Using different fuzzy logic methods to optimize DRASTIC models, case study: Tabriz Plain Aquifer. Geosciences 2015; 24(95): 211-222. (In Persian).

Asghar Asghari Moghaddam, Rahim Barzegar: Considering factors affecting high Arsenic concentration in groundwater resources of Tabriz Plain aquifers. Geosciences 2015; 24(95): 177-190. (In Persian).

Rahim Barzegar, Asghar Asghari Moghaddam: Investigation of Nitrate Concentration Anomaly Source and Vulnerability of Groundwater Resources of Tabriz Plain Using AVI and GOD Methods. 2014; Water and Soil Science (In Persian).