Παρακολούθηση
Ata Allah Nadiri
Ata Allah Nadiri
PhD in Hydrogeology, Professor at University of Tabriz
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα tabrizu.ac.ir
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
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
2482008
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
2042013
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
1532018
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
1312017
Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined …
MA Baghapour, A Fadaei Nobandegani, N Talebbeydokhti, ...
Journal of Environmental Health Science and Engineering 14, 1-16, 2016
1142016
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
972013
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
942019
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
942015
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, 8562-8577, 2017
922017
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
812019
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
792018
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
792017
Bayesian Artificial Intelligence Model Averaging for Hydraulic Conductivity Estimation
A Nadiri, A., Chitsazan, N., Tsai, F., and Moghaddam
J. Hydrol. Eng.,, 2013
78*2013
Supervised intelligent committee machine method for hydraulic conductivity estimation
G Tayfur, AA Nadiri, AA Moghaddam
Water resources management 28, 1173-1184, 2014
752014
Hydrogeochemical Analysis for Tasuj Plain Aquifer, Iran
AA Nadiri, AA Moghaddam, TCT Frank, E Fijani
732013
Localization of groundwater vulnerability assessment using catastrophe theory
S Sadeghfam, Y Hassanzadeh, AA Nadiri, M Zarghami
Water resources management 30, 4585-4601, 2016
682016
Groundwater DRASTIC vulnerability mapping by unsupervised and supervised techniques using a modelling strategy in two levels
AA Nadiri, H Norouzi, R Khatibi, M Gharekhani
Journal of hydrology 574, 744-759, 2019
582019
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, 1-19, 2016
572016
GIS and geostatistical techniques for groundwater science
S Venkatramanan, PM Viswanathan, SY Chung
Elsevier, 2019
552019
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, 8847-8857, 2014
542014
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