Maryam Gharekhani
Maryam Gharekhani
Ph.D Candidate in Hydrogeology, University of Tabriz
Verified email at ms.tabrizu.ac.ir
Title
Cited by
Cited by
Year
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
802017
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
502017
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
422017
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
392016
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
312019
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
302018
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
182019
Introducing the risk aggregation problem to aquifers exposed to impacts of anthropogenic and geogenic origins on a modular basis using ‘risk cells’
AA Nadiri, S Sadeghfam, M Gharekhani, R Khatibi, E Akbari
Journal of environmental management 217, 654-667, 2018
182018
Optimizing the DRASTIC vulnerability approach to overcome the subjectivity: a case study from Shabestar plain, Iran
F Kadkhodaie, AA Moghaddam, R Barzegar, M Gharekhani, ...
Arabian Journal of Geosciences 12 (16), 1-13, 2019
42019
Evaluation of intrinsic vulnerability of Ardabil plain using DRASTIC, SINTACS and SI methods
A Asghari Moghaddam, M Gharekhani, AA Nadiri, M Khord, E Fijani
Geography and Planning 21 (61), 57-74, 2017
32017
Optimization of DRASTIC Model by Support Vector Machine and Artificial Neural Network for Evaluating of Intrinsic Vulnerability of Ardabil Plain Aquifer
M Gharekhani, AA Nadiri, A Asghari Moghaddam, F Sadeghi Aghdam
Iranian journal of Ecohydrology 2 (3), 311-324, 2015
32015
Optimization of the DRASTIC and SINTACS Models in Assessing the Vulnerability of the Shabestar Plain Aquifer
F Kadkhodaie, A Asghari Moghaddam, R Barzegar, M Gharekhani
Iranian journal of Ecohydrology 6 (1), 77-88, 2019
12019
Comparison of Neural Network and Neuro-Fuzzy Techniques to Improve the DRASTIC Frame Work (Case Study: Shabestar plain Aquifer)
A Asghari Moghaddam, F Kadkhodaie, R Barzegar, M Gharekhani
Water and Soil Science 30 (4), 2020
2020
Assessment of Khoy Aquifer Vulnerability Using a Combined Method
AA Nadiri, E Akbari, E Abbas Novinpour, M Gharekhani
Water and Irrigation Management 9 (2), 251-262, 2020
2020
Comparison of different combination methods ability on groundwater vulnerability assessment in Qorveh-Dehgolan palin aquifer
AA Nadiri, N Jabraili, M Gharekhani
Iranian journal of Ecohydrology 6 (3), 821-836, 2019
2019
Estimation of Subsidence Potential Index Using the PCSM Method and Fuzzy Model in Ardabil Plain Aquifer
P Khalifi, AA Nadiri, E Abbas Novinpour, M Gharekhani
Iranian Journal of Watershed Management Science and Engineering 13 (45), 44-53, 2019
2019
USING SUPERVISED COMMITTEE MACHINE ARTIFICIAL INTELLIGENT MODEL FOR IMPROVING DRASTIC MODEL (CASE STUDY: ARDABIL PLAIN AQUIFER)
M GHAREKHANI, AA NADIRI, MA ASGHARI
GEOSCIENCES 26 (1040055), 113-124, 2017
2017
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Articles 1–17