Ata Allah Nadiri
Ata Allah Nadiri
PhD in Hydrogeology, Associated Professor at University of Tabriz
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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
Optimization of DRASTIC method by supervised committee machine artificial intelligence to assess groundwater vulnerability for Maragheh–Bonab plain aquifer, Iran.
Elham Fijania, Ata Allah Nadiri, Asghar Asghari
Journal of Hydrology, 2013
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
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
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
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
Bayesian Artificial Intelligence Model Averaging for Hydraulic Conductivity Estimation
A Nadiri, A., Chitsazan, N., Tsai, F., and Moghaddam
J. Hydrol. Eng.,, 2013
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
Supervised intelligent committee machine method for hydraulic conductivity estimation
G Tayfur, AA Nadiri, AA Moghaddam
Water resources management 28 (4), 1173-1184, 2014
Hydrogeochemical Analysis for Tasuj Plain Aquifer, Iran
AA Nadiri, AA Moghaddam, TCT Frank, E Fijani
Localization of groundwater vulnerability assessment using catastrophe theory
S Sadeghfam, Y Hassanzadeh, AA Nadiri, M Zarghami
Water resources management 30 (13), 4585-4601, 2016
Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined …
MA Baghapour, AF Nobandegani, N Talebbeydokhti, S Bagherzadeh, ...
Journal of Environmental Health Science and Engineering 14 (1), 1-16, 2016
Mapping vulnerability of multiple aquifers using multiple models and fuzzy logic to objectively derive model structures
AA Nadiri, Z Sedghi, R Khatibi, M Gharekhani
Science of the Total Environment 593, 75-90, 2017
Modelling groundwater level variations by learning from multiple models using fuzzy logic
AA Nadiri, K Naderi, R Khatibi, M Gharekhani
Hydrological sciences journal 64 (2), 210-226, 2019
Mapping specific vulnerability of multiple confined and unconfined aquifers by using artificial intelligence to learn from multiple DRASTIC frameworks
AA Nadiri, Z Sedghi, R Khatibi, S Sadeghfam
Journal of environmental management 227, 415-428, 2018
Mapping groundwater potential field using catastrophe fuzzy membership functions and Jenks optimization method: a case study of Maragheh-Bonab plain, Iran
S Sadeghfam, Y Hassanzadeh, AA Nadiri, R Khatibi
Environmental Earth Sciences 75 (7), 545, 2016
Mapping aquifer vulnerability indices using artificial intelligence-running multiple frameworks (AIMF) with supervised and unsupervised learning
AA Nadiri, M Gharekhani, R Khatibi
Water Resources Management 32 (9), 3023-3040, 2018
Artificial intelligence modeling to evaluate field performance of photocatalytic asphalt pavement for ambient air purification
S Asadi, M Hassan, A Nadiri, H Dylla
Environmental Science and Pollution Research 21 (14), 8847-8857, 2014
Sequential treatment of paper and pulp industrial wastewater: Prediction of water quality parameters by Mamdani Fuzzy Logic model and phytotoxicity assessment
S Mazhar, A Ditta, L Bulgariu, I Ahmad, M Ahmed, AA Nadiri
Chemosphere 227, 256-268, 2019
Introducing a new framework for mapping subsidence vulnerability indices (SVIs): ALPRIFT
Nadiri, A.A., Taheri, Z., Khatibi, R., Barzegari, G., Dideban, K.
Science of The Total Environment 628, 1043–1057, 2018
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