Rahim Barzegar

Poste
Lieu de travail
Lieux
- Local :
- 6036
- Téléphone :
- 819 732-8809 poste 8028
- Sans frais :
- +1 866 798-8728 poste 8028
- Courriel :
- rahim.barzegar@uqat.ca
Formation
- Ph. D. en hydrogéologie (Université de Tabriz, 2019)
- M. Sc. en hydrogéologie (Université de Tabriz, 2014)
- B. Sc. géologie (Université de Tabriz, 2012)
Domaines d'expertise
- Modélisation hydro(géo)logique et des ressources en eau
- Apprentissage automatique/apprentissage profond
- Qualité de l'eau
- Vulnérabilité/risque des eaux souterraines
- Impact du changement climatique sur les ressources en eau
Publications
Source : ORCID(s'ouvre dans un nouvel onglet)
2026
Enhancing long-term water quality forecasting with a hybrid deep-learning approach integrating MODWT, CNN, and GRU
Article de journalHydrological Sciences Journal
2025
Unveiling air quality shifts during Diwali in Chennai using geospatial insights for pollution assessment
Article de journalDiscover Geoscience
Advancing Groundwater Vulnerability Assessment in Coastal Regions: Integrating Machine Learning and Traditional Frameworks
PrépublicationAdvanced Probabilistic Health Risk Assessment of Water Contamination: Evaluating PTE Exposure and Public Health Implications in Complex Hydrogeological Settings
Article de journalEarth Systems and Environment
An editorial point of view for the five-year anniversary
Article de journalCommunications Earth and Environment
Extending DRASTIC vulnerability method for groundwater salinity assessment in the urmia coastal aquifer, NW Iran
Article de journalSustainable Water Resources Management
Harnessing deep learning for fusion-based heavy metal contamination index prediction in groundwater
Article de journalJournal of Contaminant Hydrology
Learning from multiple frameworks for aquifer vulnerability mapping and multiple modelling practices in groundwater vulnerability mapping studies
Article de journalApplied Water Science
2024
A meta-ensemble machine learning strategy to assess groundwater holistic vulnerability in coastal aquifers
Article de journalGroundwater for Sustainable Development
Coupling artificial neural network and sperm swarm optimization for soil temperature prediction at multiple depths
Article de journalEnvironmental Science and Pollution Research
Ensemble learning of decomposition-based machine learning models for multistep-ahead daily streamflow forecasting in northwest China
Article de journalHydrological Sciences Journal
Ensemble learning using multivariate variational mode decomposition based on the Transformer for multi-step-ahead streamflow forecasting
Article de journalJournal of Hydrology
Incorporating Hydraulic Gradient and Pumping Rate into GALDIT Framework for Salinity Hazard Assessment in Coastal Aquifers: A Case Study of Urmia Plain, Iran
AutreResearch Square
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
Article de journalEnvironmental Science and Pollution Research
Modeling and simulation of a root-zone heating in greenhouse using solar collectors
Article de journalEnvironmental Resources Research
Multi-contamination groundwater risk assessment based on integrated OSPRC framework considering receptor and consequence components
Article de journalGroundwater for Sustainable Development
Two-stage meta-ensembe machine learning model for enhanced water quality forecasting
Article de journalJournal of Hydrology
2023
A geospatial approach for assessing urban flood risk zones in Chennai, Tamil Nadu, India
Article de journalEnvironmental Science and Pollution Research
Ensemble learning of decomposition-based machine learning and deep learning models for multi-time step ahead streamflow forecasting in an arid region
AutreResearch Square
Forecasting water quality variable using deep learning and weighted averaging ensemble models
Article de journalEnvironmental Science and Pollution Research International
Multi-step ahead soil temperature forecasting at different depths based on meteorological data: Integrating resampling algorithms and machine learning models
Article de journalPedosphere
Observed and projected trends in spring flood discharges for the Upper Harricana River, eastern boreal Canada
Article de journalJournal of Hydrology Regional Studies
Preface
LivreAdvances in Science Technology and Innovation
Quantifying the groundwater total contamination risk using an inclusive multi-level modelling strategy
Article de journalJournal of Environmental Management
Regional Groundwater Flow Modeling Using Improved Isogeometric Analysis: Application and Implications in Unconfined Aquifer Systems
Article de journalWater Resources Management
2022
A country-wide assessment of Iran's land subsidence susceptibility using satellite-based InSAR and machine learning
Article de journalGeocarto International
Comparing the Soil Conservation Service model with new machine learning algorithms for predicting cumulative infiltration in semi-arid regions
Article de journalPedosphere
Contributions of climate, elevated atmospheric CO2 concentration and land surface changes to variation in water use efficiency in Northwest China
Article de journalCatena
Developing a Data-Fused Water Quality Index Based on Artificial Intelligence Models to Mitigate Conflicts between GQI and GWQI
Article de journalWater Switzerland
Establishing a Data Fusion Water Resources Risk Map Based on Aggregating Drinking Water Quality and Human Health Risk Indices
Article de journalWater Switzerland
Introducing dynamic land subsidence index based on the ALPRIFT framework using artificial intelligence techniques
Article de journalEarth Science Informatics
Multi-step-ahead soil temperature forecasting at multiple-depth based on meteorological data: Integrating resampling algorithms and machine learning models
AutreResearch Square
Quantifying the Groundwater Total Contamination Risk Using a Multi-Level Modelling Strategy
AutreSsrn
Using a soft computing OSPRC risk framework to analyze multiple contaminants from multiple sources; a case study from Khoy Plain, NW Iran
Article de journalChemosphere
Withdrawn: Similar Isotopic Biases of Plant Stem Bulk Water From Different Water Sources by Cryogenic Vacuum Distillation Demonstrated Through Rehydration Experiments
Article de journalGeophysical Research Letters
2021
Improving Deep Learning hydrological time series modeling using Gaussian Filter preprocessing
AutreAdvanced Hybrid Machine Learning Algorithms for Multistep Lake Water Level Forecasting
AutreResearch Square
Coupling a hybrid CNN-LSTM deep learning model with a Boundary Corrected Maximal Overlap Discrete Wavelet Transform for multiscale Lake water level forecasting
Article de journalJournal of Hydrology
Developing a SINTACS-based method to map groundwater multi-pollutant vulnerability using evolutionary algorithms
Article de journalEnvironmental Science and Pollution Research
Effect of elevation on variation in reference evapotranspiration under climate change in northwest china
Article de journalSustainability Switzerland
Improving GALDIT-based groundwater vulnerability predictive mapping using coupled resampling algorithms and machine learning models
Article de journalJournal of Hydrology
Improving daily stochastic stream flow prediction: comparison of novel hybrid data-mining algorithms
Article de journalHydrological Sciences Journal
Mapping risk to land subsidence: developing a two-level modeling strategy by combining multi-criteria decision-making and artificial intelligence techniques
Article de journalWater Switzerland
Predictive modeling of selected trace elements in groundwater using hybrid algorithms of iterative classifier optimizer
Article de journalJournal of Contaminant Hydrology
2020
Using a boundary-corrected wavelet transform coupled with machine learning and hybrid deep learning approaches for multi-step water level forecasting in Lakes Michigan and Ontario
AutreAn ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks
Article de journalNEURAL COMPUTING & APPLICATIONS
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
Article de journalGeothermics
Modification of the DRASTIC Framework for Mapping Groundwater Vulnerability Zones
Article de journalGROUNDWATER
Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model
Article de journalStochastic Environmental Research and Risk Assessment
Stochastic Modeling of Groundwater Fluoride Contamination: Introducing Lazy Learners
Article de journalGroundwater
Using ensembles of adaptive neuro-fuzzy inference system and optimization algorithms to predict reference evapotranspiration in subtropical climatic zones
Article de journalJournal of Hydrology
2019
Assessing the potential origins and human health risks of trace elements in groundwater: A case study in the Khoy plain, Iran
Article de journalENVIRONMENTAL GEOCHEMISTRY AND HEALTH
Delimitation of groundwater zones under contamination risk using abagged ensemble of optimized DRASTIC frameworks
Article de journalENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
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
Article de journalSCIENCE OF THE TOTAL ENVIRONMENT
Heavy Metal(loid)s in the Groundwater of Shabestar Area (NW Iran): Source Identification and Health Risk Assessment
Article de journalEXPOSURE AND HEALTH
Natural and anthropogenic origins of selected trace elements in the surface waters of Tabriz area, Iran
Article de journalENVIRONMENTAL EARTH SCIENCES
Optimizing the DRASTIC vulnerability approach to overcome the subjectivity: a case study from Shabestar plain, Iran
Article de journalARABIAN JOURNAL OF GEOSCIENCES
Using bootstrap ELM and LSSVM models to estimate river ice thickness in the Mackenzie River Basin in the Northwest Territories, Canada
Article de journalJOURNAL OF HYDROLOGY
2018
Evidence for the occurrence of hydrogeochemical processes in the groundwater of Khoy plain, northwestern Iran, using ionic ratios and geochemical modeling
Article de journalENVIRONMENTAL EARTH SCIENCES
Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms
Article de journalSCIENCE OF THE TOTAL ENVIRONMENT
Multi-step water quality forecasting using a boosting ensemble multi-wavelet extreme learning machine model
Article de journalSTOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
Multivariate statistics and hydrogeochemical modeling for source identification of major elements and heavy metals in the groundwater of Qareh-Ziaeddin plain, NW Iran
Article de journalARABIAN JOURNAL OF GEOSCIENCES
Risk assessment and ranking of heavy metals concentration in Iran's Rayen groundwater basin using linear assignment method
Article de journalSTOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
2017
Assessing the hydrogeochemistry and water quality of the Aji-Chay River, northwest of Iran (vol 75, 1486, 2016)
Article de journalENVIRONMENTAL EARTH SCIENCES
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
Article de journalAQUATIC GEOCHEMISTRY
Comparison of machine learning models for predicting fluoride contamination in groundwater
Article de journalSTOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models
Article de journalSCIENCE OF THE TOTAL ENVIRONMENT
Hydrogeochemical features of groundwater resources in Tabriz plain, northwest of Iran
Article de journalApplied Water Science
Hydrogeochemistry and water quality of the Kordkandi-Duzduzan plain, NW Iran: application of multivariate statistical analysis and PoS index
Article de journalENVIRONMENTAL MONITORING AND ASSESSMENT
Identification of hydrogeochemical processes and pollution sources of groundwater resources in the Marand plain, northwest of Iran
Article de journalENVIRONMENTAL EARTH SCIENCES
2016
A supervised committee machine artificial intelligent for improving DRASTIC method to assess groundwater contamination risk: a case study from Tabriz plain aquifer, Iran
Article de journalSTOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran
Article de journalSTOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
Assessing the hydrogeochemistry and water quality of the Aji-Chay River, northwest of Iran
Article de journalENVIRONMENTAL EARTH SCIENCES
Characterization of hydrogeologic properties of the Tabriz plain multilayer aquifer system, NW Iran
Article de journalARABIAN JOURNAL OF GEOSCIENCES
Combining the advantages of neural networks using the concept of committee machine in the groundwater salinity prediction
Article de journalModeling Earth Systems and Environment
Comparative evaluation of artificial intelligence models for prediction of uniaxial compressive strength of travertine rocks, Case study: Azarshahr area, NW Iran
Article de journalModeling Earth Systems and Environment
2015
Assessment of heavy metals concentrations with emphasis on arsenic in the Tabriz plain aquifers, Iran
Article de journalENVIRONMENTAL EARTH SCIENCES
Investigation on nitrate concentrations in groundwater resources of marand plain and groundwater vulnerability assessment using Avi and gods methods
Article de journalJournal of Environmental Studies