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R

Rahim Barzegar

university of quebec

36H指数
103论文数
3.9K被引数
收录论文 34
发表时间
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Explaining Great Lakes water level variability through interpretable ensemble machine learning通过可解释的集成机器学习方法解释大湖区水位变率
errScience of The Total Environment
IF8
err2026-01-03
err0
PREAI
errRahim Barzegar; Ehsan Raei; Jan Adamowski
err分享
err收藏
Enhancing long-term water quality forecasting with a hybrid deep-learning approach integrating MODWT, CNN, and GRU
errHYDROLOGICAL SCIENCES JOURNAL
IF2.5
err2025-12-01
err0
PREAI
errKhosravi, Soheil; Nikoo, Mohammad Reza; Zamani, Mohammad G.; Barzegar, Rahim; Najafipour, Parsa; Gandomi, Amir H.
err分享
err收藏
Extending DRASTIC vulnerability method for groundwater salinity assessment in the urmia coastal aquifer, NW Iran
errSustainable Water Resources Management
IF2.1
err2025-10-22
err0
PREAI
errFakhri, Mirsajad; Moghaddam, Asghar Asghari; Nadiri, Ata Allah; Cloutier, Vincent; Barzegar, Rahim
err分享
err收藏
Advanced Probabilistic Health Risk Assessment of Water Contamination: Evaluating PTE Exposure and Public Health Implications in Complex Hydrogeological Settings水污染高级概率性健康风险评估：评估PTE暴露及复杂水文地质环境下的公众健康影响
errEarth Systems and Environment
IF4.7
err2025-08-19
err0
PREAI
errZahra Sedghi; Ata Allah Nadiri; Frank T.-C. Tsai; Rahim Barzegar; Senapathi Venkatramanan; Abu Reza Md. Towfiqul Islam
err分享
err收藏
Learning from multiple frameworks for aquifer vulnerability mapping and multiple modelling practices in groundwater vulnerability mapping studies从多个含水层易损性制图框架和地下水易损性制图研究中的多种建模实践中学习
errApplied Water Science
IF5.7
err2025-08-05
err0
errOAAI
errAta Allah Nadiri; Zeynab Abdollahi; Zahra Sedghi; Rahman Khatibi; Rahim Barzegar
err分享
err收藏
Harnessing deep learning for fusion-based heavy metal contamination index prediction in groundwater利用深度学习进行基于融合的重金属污染指数在地下水中的预测
errJournal of Contaminant Hydrology
IF4.4
err2025-07-07
err0
PREAI
errAli Asghar Rostami; Zahra Sedghi; Ata Allah Nadiri; Rahim Barzegar; Natasha T. Dimova; Venkatramanan Senapathi; Abu Reza Md. Towfiqul Islam
err分享
err收藏
Two-stage meta-ensembling machine learning model for enhanced water quality forecasting
errJOURNAL OF HYDROLOGY
IF6.3
err2024-09-01
err3
PREAI
errHeydari, Sepideh; Nikoo, Mohammad Reza; Mohammadi, Ali; Barzegar, Rahim
err分享
err收藏
Ensemble learning using multivariate variational mode decomposition based on the Transformer for multi-step-ahead streamflow forecasting
errJOURNAL OF HYDROLOGY
IF6.3
err2024-06-01
err17
PREAI
errFang, Jinjie; Yang, Linshan; Wen, Xiaohu; Yu, Haijiao; Li, Weide; Adamowski, Jan F.; Barzegar, Rahim
err分享
err收藏
Regional Groundwater Flow Modeling Using Improved Isogeometric Analysis: Application and Implications in Unconfined Aquifer Systems使用改进的等几何分析进行区域地下水流建模: 在无限制含水层系统中的应用和意义
errWATER RESOURCES MANAGEMENT
IF4.7
err2023-10-26
err1
PREAI
errDaneshmand, Farhang; Adamowski, Jan; Martel, Richard; Barzegar, Rahim; Hatami, Shadi
err分享
err收藏
Multi-step ahead soil temperature forecasting at different depths based on meteorological data: Integrating resampling algorithms and machine learning models基于气象数据的多步超前不同深度土壤温度预报: 集成重采样算法和机器学习模型
errPEDOSPHERE
IF7.3
err2023-06-01
err6
PREAI
errKhosravi, Khabat; Golkarian, Ali; Barzegar, Rahim; Aalami, Mohammad T.; Heddam, Salim; Omidvar, Ebrahim; Keesstra, Saskia D.; Lopez-Vicente, Manuel
err分享
err收藏
Quantifying the groundwater total contamination risk using an inclusive multi-level modelling strategy
errJOURNAL OF ENVIRONMENTAL MANAGEMENT
IF8.4
err2023-04-01
err10
PREAI
errGharekhani, Maryam; Nadiri, Ata Allah; Khatibi, Rahman; Nikoo, Mohammad Reza; Barzegar, Rahim; Sadeghfam, Sina; Moghaddam, Asghar Asghari
err分享
err收藏
Establishing a Data Fusion Water Resources Risk Map Based on Aggregating Drinking Water Quality and Human Health Risk Indices
errWATER
IF3
err2022-10-26
err4
errOAAI
errNadiri, Ata Allah; Sedghi, Zahra; Barzegar, Rahim; Nikoo, Mohammad Reza
err分享
err收藏
Developing a Data-Fused Water Quality Index Based on Artificial Intelligence Models to Mitigate Conflicts between GQI and GWQI开发基于人工智能模型的数据融合水质指数，以缓解GQI和GWQI之间的冲突
errWATER
IF3
err2022-10-10
err9
errOAAI
errNadiri, Ata Allah; Barzegar, Rahim; Sadeghfam, Sina; Rostami, Ali Asghar
err分享
err收藏
Comparing the Soil Conservation Service model with new machine learning algorithms for predicting cumulative infiltration in semi-arid regions
errPEDOSPHERE
IF7.3
err2022-10-01
err2
PREAI
errKhosravi, Khabat; Ngo, Phuong T. T.; Barzegar, Rahim; Quilty, John; Aalami, Mohammad T.; Bui, Dieu T.
err分享
err收藏
A country-wide assessment of Iran's land subsidence susceptibility using satellite-based InSAR and machine learning使用基于卫星的InSAR和机器学习在全国范围内评估伊朗的地面沉降敏感性
errGEOCARTO INTERNATIONAL
IF3.5
err2022-06-16
err14
PREAI
errPanahi, Mahdi; Khosravi, Khabat; Golkarian, Ali; Roostaei, Mahsa; Barzegar, Rahim; Omidvar, Ebrahim; Rezaie, Fatemeh; Saco, Patricia M.; Sharifi, Alireza; Jun, Changhyun; Bateni, Sayed M.; Lee, Chang-Wook; Lee, Saro
err分享
err收藏
Contributions of climate, elevated atmospheric CO2 concentration and land surface changes to variation in water use efficiency in Northwest China
errCATENA
IF5.7
err2022-06-01
err53
PREAI
errYang, Linshan; Feng, Qi; Wen, Xiaohu; Barzegar, Rahim; Adamowski, Jan F.; Zhu, Meng; Yin, Zhenliang
err分享
err收藏
Predictive modeling of selected trace elements in groundwater using hybrid algorithms of iterative classifier optimizer
errJOURNAL OF CONTAMINANT HYDROLOGY
IF4.4
err2021-10-01
err19
PREAI
errKhosravi, Khabat; Barzegar, Rahim; Golkarian, Ali; Busico, Gianluigi; Cuoco, Emilio; Mastrocicco, Micol; Colombani, Nicolo; Tedesco, Dario; Ntona, Maria Margarita; Kazakis, Nerantzis
err分享
err收藏
Mapping Risk to Land Subsidence: Developing a Two-Level Modeling Strategy by Combining Multi-Criteria Decision-Making and Artificial Intelligence Techniques
errWATER
IF3
err2021-09-23
err11
errOAAI
errNadiri, Ata Allah; Moazamnia, Marjan; Sadeghfam, Sina; Barzegar, Rahim
err分享
err收藏
Effect of Elevation on Variation in Reference Evapotranspiration under Climate Change in Northwest China
errSUSTAINABILITY
IF3.3
err2021-09-10
err19
errOAAI
errLiu, Wei; Yang, Linshan; Zhu, Meng; Adamowski, Jan F.; Barzegar, Rahim; Wen, Xiaohu; Yin, Zhenliang
err分享
err收藏
Coupling a hybrid CNN-LSTM deep learning model with a Boundary Corrected Maximal Overlap Discrete Wavelet Transform for multiscale Lake water level forecasting将cnn-lstm混合深度学习模型与边界校正的最大重叠离散小波变换耦合用于多尺度湖泊水位预测
errJOURNAL OF HYDROLOGY
IF6.3
err2021-07-01
err128
PREAI
errBarzegar, Rahim; Aalami, Mohammad Taghi; Adamowski, Jan
err分享
err收藏

研究方向

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