Asghar Asghari Moghaddam
Asghar Asghari Moghaddam
Professor of Hydrogeology, Tabriz University
tabrizu.ac.ir의 이메일 확인됨 - 홈페이지
제목
인용
인용
연도
Assessment of groundwater quality and its suitability for drinking and agricultural uses in the Oshnavieh Area, Northwest of Iran
N Aghazadeh, AA Mogaddam
Journal of Environmental protection 1 (01), 30, 2010
2002010
An ANN‐based model for spatiotemporal groundwater level forecasting
V Nourani, AA Mogaddam, AO Nadiri
Hydrological Processes: An International Journal 22 (26), 5054-5066, 2008
1612008
Optimization of DRASTIC method by supervised committee machine artificial intelligence to assess groundwater vulnerability for Maragheh–Bonab plain aquifer, Iran
E Fijani, AA Nadiri, AA Moghaddam, FTC Tsai, B Dixon
Journal of hydrology 503, 89-100, 2013
1392013
Investigation of hydrochemical characteristics of groundwater in the Harzandat aquifer, Northwest of Iran
N Aghazadeh, AA Mogaddam
Environmental monitoring and assessment 176 (1), 183-195, 2011
1192011
Distribution of fluoride in groundwater of Maku area, northwest of Iran
AA Moghaddam, E Fijani
Environmental Geology 56 (2), 281-287, 2008
812008
Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models
R Barzegar, E Fijani, AA Moghaddam, E Tziritis
Science of the Total Environment 599, 20-31, 2017
762017
Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran
R Barzegar, J Adamowski, AA Moghaddam
Stochastic environmental research and risk assessment 30 (7), 1797-1819, 2016
742016
Groundwater vulnerability indices conditioned by supervised intelligence committee machine (SICM)
AA Nadiri, M Gharekhani, R Khatibi, S Sadeghfam, AA Moghaddam
Science of the Total Environment 574, 691-706, 2017
692017
Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms
R Barzegar, AA Moghaddam, R Deo, E Fijani, E Tziritis
Science of the total environment 621, 697-712, 2018
622018
Prediction of effluent quality parameters of a wastewater treatment plant using a supervised committee fuzzy logic model
AA Nadiri, S Shokri, FTC Tsai, AA Moghaddam
Journal of Cleaner Production 180, 539-549, 2018
582018
A supervised committee machine artificial intelligent for improving DRASTIC method to assess groundwater contamination risk: a case study from Tabriz plain aquifer, Iran
R Barzegar, AA Moghaddam, H Baghban
Stochastic environmental research and risk assessment 30 (3), 883-899, 2016
572016
Prediction and structural uncertainty analyses of artificial neural networks using hierarchical Bayesian model averaging
N Chitsazan, AA Nadiri, FTC Tsai
Journal of Hydrology 528, 52-62, 2015
552015
Supervised committee machine with artificial intelligence for prediction of fluoride concentration
AA Nadiri, E Fijani, FTC Tsai, A Asghari Moghaddam
Journal of Hydroinformatics 15 (4), 1474-1490, 2013
552013
Multi-step water quality forecasting using a boosting ensemble multi-wavelet extreme learning machine model
R Barzegar, AA Moghaddam, J Adamowski, B Ozga-Zielinski
Stochastic Environmental Research and Risk Assessment, 1-15, 2017
492017
Identification of hydrogeochemical processes and pollution sources of groundwater resources in the Marand plain, northwest of Iran
R Barzegar, AA Moghaddam, E Tziritis, MS Fakhri, S Soltani
Environmental Earth Sciences 76 (7), 1-16, 2017
472017
Bayesian artificial intelligence model averaging for hydraulic conductivity estimation
AA Nadiri, N Chitsazan, FTC Tsai, AA Moghaddam
Journal of Hydrologic Engineering 19 (3), 520-532, 2014
472014
Assessment of groundwater vulnerability using supervised committee to combine fuzzy logic models
AA Nadiri, M Gharekhani, R Khatibi, AA Moghaddam
Environmental Science and Pollution Research 24 (9), 8562-8577, 2017
462017
A fuzzy-logic based decision-making approach for identification of groundwater quality based on groundwater quality indices
M Vadiati, A Asghari-Moghaddam, M Nakhaei, J Adamowski, ...
Journal of environmental management 184, 255-270, 2016
452016
Combining the advantages of neural networks using the concept of committee machine in the groundwater salinity prediction
R Barzegar, AA Moghaddam
Modeling Earth Systems and Environment 2 (1), 26, 2016
442016
Supervised intelligent committee machine method for hydraulic conductivity estimation
G Tayfur, AA Nadiri, AA Moghaddam
Water resources management 28 (4), 1173-1184, 2014
432014
현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요.
학술자료 1–20