Rahim Barzegar - Staff Member Profile

Rahim Barzegar

Professeur

Campus d'Amos

Room :: 6036
Phone :: 819 732-8809 ext 8028
Toll-free :: +1 877 870-8728 ext 8028

Email :: rahim.barzegar@uqat.ca

Education

Ph. D. en hydrogéologie (Université de Tabriz, 2019)
M. Sc. en hydrogéologie (Université de Tabriz, 2014)
B. Sc. géologie (Université de Tabriz, 2012)

Areas of 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(opens in a new tab)

2026

Enhancing long-term water quality forecasting with a hybrid deep-learning approach integrating MODWT, CNN, and GRU
Journal article
Hydrological Sciences Journal
DOI: 10.1080/02626667.2025.2581264(opens in a new tab)

2025

Unveiling air quality shifts during Diwali in Chennai using geospatial insights for pollution assessment
Journal article
Discover Geoscience
DOI: 10.1007/s44288-025-00174-x(opens in a new tab)
Advancing Groundwater Vulnerability Assessment in Coastal Regions: Integrating Machine Learning and Traditional Frameworks
Preprint
DOI: 10.5194/egusphere-egu24-20788(opens in a new tab)
Advanced Probabilistic Health Risk Assessment of Water Contamination: Evaluating PTE Exposure and Public Health Implications in Complex Hydrogeological Settings
Journal article
Earth Systems and Environment
DOI: 10.1007/s41748-025-00717-9(opens in a new tab)
An editorial point of view for the five-year anniversary
Journal article
Communications Earth and Environment
DOI: 10.1038/s43247-025-02737-9(opens in a new tab)
Extending DRASTIC vulnerability method for groundwater salinity assessment in the urmia coastal aquifer, NW Iran
Journal article
Sustainable Water Resources Management
DOI: 10.1007/s40899-025-01298-1(opens in a new tab)
Harnessing deep learning for fusion-based heavy metal contamination index prediction in groundwater
Journal article
Journal of Contaminant Hydrology
DOI: 10.1016/j.jconhyd.2025.104672(opens in a new tab)
Learning from multiple frameworks for aquifer vulnerability mapping and multiple modelling practices in groundwater vulnerability mapping studies
Journal article
Applied Water Science
DOI: 10.1007/s13201-025-02573-4(opens in a new tab)

2024

A meta-ensemble machine learning strategy to assess groundwater holistic vulnerability in coastal aquifers
Journal article
Groundwater for Sustainable Development
DOI: 10.1016/j.gsd.2024.101296(opens in a new tab)
Coupling artificial neural network and sperm swarm optimization for soil temperature prediction at multiple depths
Journal article
Environmental Science and Pollution Research
DOI: 10.1007/s11356-024-35002-1(opens in a new tab)
Ensemble learning of decomposition-based machine learning models for multistep-ahead daily streamflow forecasting in northwest China
Journal article
Hydrological Sciences Journal
DOI: 10.1080/02626667.2024.2374868(opens in a new tab)
Ensemble learning using multivariate variational mode decomposition based on the Transformer for multi-step-ahead streamflow forecasting
Journal article
Journal of Hydrology
DOI: 10.1016/j.jhydrol.2024.131275(opens in a new tab)
Incorporating Hydraulic Gradient and Pumping Rate into GALDIT Framework for Salinity Hazard Assessment in Coastal Aquifers: A Case Study of Urmia Plain, Iran
Other
Research Square
DOI: 10.21203/rs.3.rs-4186756/v1(opens in a new tab)
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
Journal article
Environmental Science and Pollution Research
DOI: 10.1007/s11356-024-34565-3(opens in a new tab)
Modeling and simulation of a root-zone heating in greenhouse using solar collectors
Journal article
Environmental Resources Research
DOI: 10.22069/ijerr.2024.22436.1436(opens in a new tab)
Multi-contamination groundwater risk assessment based on integrated OSPRC framework considering receptor and consequence components
Journal article
Groundwater for Sustainable Development
DOI: 10.1016/j.gsd.2024.101321(opens in a new tab)
Two-stage meta-ensembe machine learning model for enhanced water quality forecasting
Journal article
Journal of Hydrology
DOI: 10.1016/j.jhydrol.2024.131767(opens in a new tab)

2023

A geospatial approach for assessing urban flood risk zones in Chennai, Tamil Nadu, India
Journal article
Environmental Science and Pollution Research
DOI: 10.1007/s11356-023-29132-1(opens in a new tab)
Ensemble learning of decomposition-based machine learning and deep learning models for multi-time step ahead streamflow forecasting in an arid region
Other
Research Square
DOI: 10.21203/rs.3.rs-2770415/v1(opens in a new tab)
Forecasting water quality variable using deep learning and weighted averaging ensemble models
Journal article
Environmental Science and Pollution Research International
DOI: 10.1007/s11356-023-30774-4(opens in a new tab)
Multi-step ahead soil temperature forecasting at different depths based on meteorological data: Integrating resampling algorithms and machine learning models
Journal article
Pedosphere
DOI: 10.1016/j.pedsph.2022.06.056(opens in a new tab)
Observed and projected trends in spring flood discharges for the Upper Harricana River, eastern boreal Canada
Journal article
Journal of Hydrology Regional Studies
DOI: 10.1016/j.ejrh.2023.101462(opens in a new tab)
Preface
Book
Advances in Science Technology and Innovation
See publication(opens in a new tab)
Quantifying the groundwater total contamination risk using an inclusive multi-level modelling strategy
Journal article
Journal of Environmental Management
DOI: 10.1016/j.jenvman.2023.117287(opens in a new tab)
Regional Groundwater Flow Modeling Using Improved Isogeometric Analysis: Application and Implications in Unconfined Aquifer Systems
Journal article
Water Resources Management
DOI: 10.1007/s11269-023-03631-9(opens in a new tab)

2022

A country-wide assessment of Iran's land subsidence susceptibility using satellite-based InSAR and machine learning
Journal article
Geocarto International
DOI: 10.1080/10106049.2022.2086631(opens in a new tab)
Comparing the Soil Conservation Service model with new machine learning algorithms for predicting cumulative infiltration in semi-arid regions
Journal article
Pedosphere
DOI: 10.1016/j.pedsph.2022.06.009(opens in a new tab)
Contributions of climate, elevated atmospheric CO2 concentration and land surface changes to variation in water use efficiency in Northwest China
Journal article
Catena
DOI: 10.1016/j.catena.2022.106220(opens in a new tab)
Developing a Data-Fused Water Quality Index Based on Artificial Intelligence Models to Mitigate Conflicts between GQI and GWQI
Journal article
Water Switzerland
DOI: 10.3390/w14193185(opens in a new tab)
Establishing a Data Fusion Water Resources Risk Map Based on Aggregating Drinking Water Quality and Human Health Risk Indices
Journal article
Water Switzerland
DOI: 10.3390/w14213390(opens in a new tab)
Introducing dynamic land subsidence index based on the ALPRIFT framework using artificial intelligence techniques
Journal article
Earth Science Informatics
DOI: 10.1007/s12145-021-00760-w(opens in a new tab)
Multi-step-ahead soil temperature forecasting at multiple-depth based on meteorological data: Integrating resampling algorithms and machine learning models
Other
Research Square
DOI: 10.21203/rs.3.rs-1526396/v1(opens in a new tab)
Quantifying the Groundwater Total Contamination Risk Using a Multi-Level Modelling Strategy
Other
Ssrn
DOI: 10.2139/ssrn.4170585(opens in a new tab)
Using a soft computing OSPRC risk framework to analyze multiple contaminants from multiple sources; a case study from Khoy Plain, NW Iran
Journal article
Chemosphere
DOI: 10.1016/j.chemosphere.2022.136527(opens in a new tab)
Withdrawn: Similar Isotopic Biases of Plant Stem Bulk Water From Different Water Sources by Cryogenic Vacuum Distillation Demonstrated Through Rehydration Experiments
Journal article
Geophysical Research Letters
DOI: 10.1029/2021GL096474(opens in a new tab)

2021

Improving Deep Learning hydrological time series modeling using Gaussian Filter preprocessing
Other
DOI: 10.5194/egusphere-egu21-1644(opens in a new tab)
Advanced Hybrid Machine Learning Algorithms for Multistep Lake Water Level Forecasting
Other
Research Square
DOI: 10.21203/rs.3.rs-912383/v1(opens in a new tab)
Coupling a hybrid CNN-LSTM deep learning model with a Boundary Corrected Maximal Overlap Discrete Wavelet Transform for multiscale Lake water level forecasting
Journal article
Journal of Hydrology
DOI: 10.1016/j.jhydrol.2021.126196(opens in a new tab)
Developing a SINTACS-based method to map groundwater multi-pollutant vulnerability using evolutionary algorithms
Journal article
Environmental Science and Pollution Research
DOI: 10.1007/s11356-020-11089-0(opens in a new tab)
Effect of elevation on variation in reference evapotranspiration under climate change in northwest china
Journal article
Sustainability Switzerland
DOI: 10.3390/su131810151(opens in a new tab)
Improving GALDIT-based groundwater vulnerability predictive mapping using coupled resampling algorithms and machine learning models
Journal article
Journal of Hydrology
DOI: 10.1016/j.jhydrol.2021.126370(opens in a new tab)
Improving daily stochastic stream flow prediction: comparison of novel hybrid data-mining algorithms
Journal article
Hydrological Sciences Journal
DOI: 10.1080/02626667.2021.1928673(opens in a new tab)
Mapping risk to land subsidence: developing a two-level modeling strategy by combining multi-criteria decision-making and artificial intelligence techniques
Journal article
Water Switzerland
DOI: 10.3390/w13192622(opens in a new tab)
Predictive modeling of selected trace elements in groundwater using hybrid algorithms of iterative classifier optimizer
Journal article
Journal of Contaminant Hydrology
DOI: 10.1016/j.jconhyd.2021.103849(opens in a new tab)

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
Other
DOI: 10.5194/egusphere-egu2020-4233(opens in a new tab)
An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks
Journal article
NEURAL COMPUTING & APPLICATIONS
DOI: 10.1007/S00521-019-04418-Z(opens in a new tab)
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
Journal article
Geothermics
DOI: 10.1016/j.geothermics.2020.101815(opens in a new tab)
Modification of the DRASTIC Framework for Mapping Groundwater Vulnerability Zones
Journal article
GROUNDWATER
DOI: 10.1111/GWAT.12919(opens in a new tab)
Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model
Journal article
Stochastic Environmental Research and Risk Assessment
DOI: 10.1007/s00477-020-01776-2(opens in a new tab)
Stochastic Modeling of Groundwater Fluoride Contamination: Introducing Lazy Learners
Journal article
Groundwater
DOI: 10.1111/gwat.12963(opens in a new tab)
Using ensembles of adaptive neuro-fuzzy inference system and optimization algorithms to predict reference evapotranspiration in subtropical climatic zones
Journal article
Journal of Hydrology
DOI: 10.1016/j.jhydrol.2020.125509(opens in a new tab)

2019

Assessing the potential origins and human health risks of trace elements in groundwater: A case study in the Khoy plain, Iran
Journal article
ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
DOI: 10.1007/S10653-018-0194-9(opens in a new tab)
Delimitation of groundwater zones under contamination risk using abagged ensemble of optimized DRASTIC frameworks
Journal article
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
DOI: 10.1007/S11356-019-04252-9(opens in a new tab)
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
Journal article
SCIENCE OF THE TOTAL ENVIRONMENT
DOI: 10.1016/J.SCITOTENV.2018.08.221(opens in a new tab)
Heavy Metal(loid)s in the Groundwater of Shabestar Area (NW Iran): Source Identification and Health Risk Assessment
Journal article
EXPOSURE AND HEALTH
DOI: 10.1007/S12403-017-0267-5(opens in a new tab)
Natural and anthropogenic origins of selected trace elements in the surface waters of Tabriz area, Iran
Journal article
ENVIRONMENTAL EARTH SCIENCES
DOI: 10.1007/S12665-019-8250-Z(opens in a new tab)
Optimizing the DRASTIC vulnerability approach to overcome the subjectivity: a case study from Shabestar plain, Iran
Journal article
ARABIAN JOURNAL OF GEOSCIENCES
DOI: 10.1007/S12517-019-4647-Y(opens in a new tab)
Using bootstrap ELM and LSSVM models to estimate river ice thickness in the Mackenzie River Basin in the Northwest Territories, Canada
Journal article
JOURNAL OF HYDROLOGY
DOI: 10.1016/J.JHYDROL.2019.06.075(opens in a new tab)

2018

Evidence for the occurrence of hydrogeochemical processes in the groundwater of Khoy plain, northwestern Iran, using ionic ratios and geochemical modeling
Journal article
ENVIRONMENTAL EARTH SCIENCES
DOI: 10.1007/S12665-018-7782-Y(opens in a new tab)
Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms
Journal article
SCIENCE OF THE TOTAL ENVIRONMENT
DOI: 10.1016/J.SCITOTENV.2017.11.185(opens in a new tab)
Multi-step water quality forecasting using a boosting ensemble multi-wavelet extreme learning machine model
Journal article
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
DOI: 10.1007/S00477-017-1394-Z(opens in a new tab)
Multivariate statistics and hydrogeochemical modeling for source identification of major elements and heavy metals in the groundwater of Qareh-Ziaeddin plain, NW Iran
Journal article
ARABIAN JOURNAL OF GEOSCIENCES
DOI: 10.1007/S12517-017-3317-1(opens in a new tab)
Risk assessment and ranking of heavy metals concentration in Iran's Rayen groundwater basin using linear assignment method
Journal article
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
DOI: 10.1007/S00477-017-1477-X(opens in a new tab)

2017

Assessing the hydrogeochemistry and water quality of the Aji-Chay River, northwest of Iran (vol 75, 1486, 2016)
Journal article
ENVIRONMENTAL EARTH SCIENCES
DOI: 10.1007/S12665-017-6837-9(opens in a new tab)
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
Journal article
AQUATIC GEOCHEMISTRY
DOI: 10.1007/S10498-017-9322-X(opens in a new tab)
Comparison of machine learning models for predicting fluoride contamination in groundwater
Journal article
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
DOI: 10.1007/S00477-016-1338-Z(opens in a new tab)
Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models
Journal article
SCIENCE OF THE TOTAL ENVIRONMENT
DOI: 10.1016/J.SCITOTENV.2017.04.189(opens in a new tab)
Hydrogeochemical features of groundwater resources in Tabriz plain, northwest of Iran
Journal article
Applied Water Science
DOI: 10.1007/s13201-017-0550-4(opens in a new tab)
Hydrogeochemistry and water quality of the Kordkandi-Duzduzan plain, NW Iran: application of multivariate statistical analysis and PoS index
Journal article
ENVIRONMENTAL MONITORING AND ASSESSMENT
DOI: 10.1007/S10661-017-6171-4(opens in a new tab)
Identification of hydrogeochemical processes and pollution sources of groundwater resources in the Marand plain, northwest of Iran
Journal article
ENVIRONMENTAL EARTH SCIENCES
DOI: 10.1007/S12665-017-6612-Y(opens in a new tab)

2016

A supervised committee machine artificial intelligent for improving DRASTIC method to assess groundwater contamination risk: a case study from Tabriz plain aquifer, Iran
Journal article
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
DOI: 10.1007/S00477-015-1088-3(opens in a new tab)
Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran
Journal article
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
DOI: 10.1007/S00477-016-1213-Y(opens in a new tab)
Assessing the hydrogeochemistry and water quality of the Aji-Chay River, northwest of Iran
Journal article
ENVIRONMENTAL EARTH SCIENCES
DOI: 10.1007/S12665-016-6302-1(opens in a new tab)
Characterization of hydrogeologic properties of the Tabriz plain multilayer aquifer system, NW Iran
Journal article
ARABIAN JOURNAL OF GEOSCIENCES
DOI: 10.1007/S12517-015-2229-1(opens in a new tab)
Combining the advantages of neural networks using the concept of committee machine in the groundwater salinity prediction
Journal article
Modeling Earth Systems and Environment
DOI: 10.1007/s40808-015-0072-8(opens in a new tab)
Comparative evaluation of artificial intelligence models for prediction of uniaxial compressive strength of travertine rocks, Case study: Azarshahr area, NW Iran
Journal article
Modeling Earth Systems and Environment
DOI: 10.1007/s40808-016-0132-8(opens in a new tab)

2015

Assessment of heavy metals concentrations with emphasis on arsenic in the Tabriz plain aquifers, Iran
Journal article
ENVIRONMENTAL EARTH SCIENCES
DOI: 10.1007/S12665-015-4123-2(opens in a new tab)
Investigation on nitrate concentrations in groundwater resources of marand plain and groundwater vulnerability assessment using Avi and gods methods
Journal article
Journal of Environmental Studies
See publication(opens in a new tab)

Position

Professeur

Workplace

Locations

Education

Areas of expertise

Publications

Enhancing long-term water quality forecasting with a hybrid deep-learning approach integrating MODWT, CNN, and GRU

Unveiling air quality shifts during Diwali in Chennai using geospatial insights for pollution assessment

Advancing Groundwater Vulnerability Assessment in Coastal Regions: Integrating Machine Learning and Traditional Frameworks

Advanced Probabilistic Health Risk Assessment of Water Contamination: Evaluating PTE Exposure and Public Health Implications in Complex Hydrogeological Settings

An editorial point of view for the five-year anniversary

Extending DRASTIC vulnerability method for groundwater salinity assessment in the urmia coastal aquifer, NW Iran

Harnessing deep learning for fusion-based heavy metal contamination index prediction in groundwater

Learning from multiple frameworks for aquifer vulnerability mapping and multiple modelling practices in groundwater vulnerability mapping studies

A meta-ensemble machine learning strategy to assess groundwater holistic vulnerability in coastal aquifers

Coupling artificial neural network and sperm swarm optimization for soil temperature prediction at multiple depths

Ensemble learning of decomposition-based machine learning models for multistep-ahead daily streamflow forecasting in northwest China

Ensemble learning using multivariate variational mode decomposition based on the Transformer for multi-step-ahead streamflow forecasting

Incorporating Hydraulic Gradient and Pumping Rate into GALDIT Framework for Salinity Hazard Assessment in Coastal Aquifers: A Case Study of Urmia Plain, Iran

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

Modeling and simulation of a root-zone heating in greenhouse using solar collectors

Multi-contamination groundwater risk assessment based on integrated OSPRC framework considering receptor and consequence components

Two-stage meta-ensembe machine learning model for enhanced water quality forecasting

A geospatial approach for assessing urban flood risk zones in Chennai, Tamil Nadu, India

Ensemble learning of decomposition-based machine learning and deep learning models for multi-time step ahead streamflow forecasting in an arid region

Forecasting water quality variable using deep learning and weighted averaging ensemble models

Multi-step ahead soil temperature forecasting at different depths based on meteorological data: Integrating resampling algorithms and machine learning models

Observed and projected trends in spring flood discharges for the Upper Harricana River, eastern boreal Canada

Preface

Quantifying the groundwater total contamination risk using an inclusive multi-level modelling strategy

Regional Groundwater Flow Modeling Using Improved Isogeometric Analysis: Application and Implications in Unconfined Aquifer Systems

A country-wide assessment of Iran's land subsidence susceptibility using satellite-based InSAR and machine learning

Comparing the Soil Conservation Service model with new machine learning algorithms for predicting cumulative infiltration in semi-arid regions

Contributions of climate, elevated atmospheric CO2 concentration and land surface changes to variation in water use efficiency in Northwest China

Developing a Data-Fused Water Quality Index Based on Artificial Intelligence Models to Mitigate Conflicts between GQI and GWQI

Establishing a Data Fusion Water Resources Risk Map Based on Aggregating Drinking Water Quality and Human Health Risk Indices

Introducing dynamic land subsidence index based on the ALPRIFT framework using artificial intelligence techniques

Multi-step-ahead soil temperature forecasting at multiple-depth based on meteorological data: Integrating resampling algorithms and machine learning models

Quantifying the Groundwater Total Contamination Risk Using a Multi-Level Modelling Strategy

Using a soft computing OSPRC risk framework to analyze multiple contaminants from multiple sources; a case study from Khoy Plain, NW Iran

Withdrawn: Similar Isotopic Biases of Plant Stem Bulk Water From Different Water Sources by Cryogenic Vacuum Distillation Demonstrated Through Rehydration Experiments

Improving Deep Learning hydrological time series modeling using Gaussian Filter preprocessing

Advanced Hybrid Machine Learning Algorithms for Multistep Lake Water Level Forecasting

Coupling a hybrid CNN-LSTM deep learning model with a Boundary Corrected Maximal Overlap Discrete Wavelet Transform for multiscale Lake water level forecasting

Developing a SINTACS-based method to map groundwater multi-pollutant vulnerability using evolutionary algorithms

Effect of elevation on variation in reference evapotranspiration under climate change in northwest china

Improving GALDIT-based groundwater vulnerability predictive mapping using coupled resampling algorithms and machine learning models

Improving daily stochastic stream flow prediction: comparison of novel hybrid data-mining algorithms

Mapping risk to land subsidence: developing a two-level modeling strategy by combining multi-criteria decision-making and artificial intelligence techniques

Predictive modeling of selected trace elements in groundwater using hybrid algorithms of iterative classifier optimizer

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

An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks

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

Modification of the DRASTIC Framework for Mapping Groundwater Vulnerability Zones

Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model

Stochastic Modeling of Groundwater Fluoride Contamination: Introducing Lazy Learners

Using ensembles of adaptive neuro-fuzzy inference system and optimization algorithms to predict reference evapotranspiration in subtropical climatic zones

Assessing the potential origins and human health risks of trace elements in groundwater: A case study in the Khoy plain, Iran

Delimitation of groundwater zones under contamination risk using abagged ensemble of optimized DRASTIC frameworks

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

Heavy Metal(loid)s in the Groundwater of Shabestar Area (NW Iran): Source Identification and Health Risk Assessment

Natural and anthropogenic origins of selected trace elements in the surface waters of Tabriz area, Iran

Optimizing the DRASTIC vulnerability approach to overcome the subjectivity: a case study from Shabestar plain, Iran

Using bootstrap ELM and LSSVM models to estimate river ice thickness in the Mackenzie River Basin in the Northwest Territories, Canada

Evidence for the occurrence of hydrogeochemical processes in the groundwater of Khoy plain, northwestern Iran, using ionic ratios and geochemical modeling

Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms

Multi-step water quality forecasting using a boosting ensemble multi-wavelet extreme learning machine model

Multivariate statistics and hydrogeochemical modeling for source identification of major elements and heavy metals in the groundwater of Qareh-Ziaeddin plain, NW Iran

Risk assessment and ranking of heavy metals concentration in Iran's Rayen groundwater basin using linear assignment method

Assessing the hydrogeochemistry and water quality of the Aji-Chay River, northwest of Iran (vol 75, 1486, 2016)

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

Comparison of machine learning models for predicting fluoride contamination in groundwater

Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models

Hydrogeochemical features of groundwater resources in Tabriz plain, northwest of Iran

Hydrogeochemistry and water quality of the Kordkandi-Duzduzan plain, NW Iran: application of multivariate statistical analysis and PoS index

Identification of hydrogeochemical processes and pollution sources of groundwater resources in the Marand plain, northwest of Iran

A supervised committee machine artificial intelligent for improving DRASTIC method to assess groundwater contamination risk: a case study from Tabriz plain aquifer, Iran

Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran

Assessing the hydrogeochemistry and water quality of the Aji-Chay River, northwest of Iran