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Maryam Gharekhani

Showing results (1-10 of 9) with videos related to

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The Science of the Total Environment|March 26, 2017
Mapping vulnerability of multiple aquifers using multiple models and fuzzy logic to objectively derive model structuresAta Allah Nadiri, Zahra Sedghi, Rahman Khatibi, et al.
Journal of Environmental Management|June 15, 2021
An investigation into time-variant subsidence potentials using inclusive multiple modelling strategiesMaryam Gharekhani, Ata Allah Nadiri, Rahman Khatibi, et al.
Environmental Science and Pollution Research International|February 15, 2017
Assessment of groundwater vulnerability using supervised committee to combine fuzzy logic modelsAta Allah Nadiri, Maryam Gharekhani, Rahman Khatibi, et al.
Journal of Environmental Management|April 14, 2018
Introducing the risk aggregation problem to aquifers exposed to impacts of anthropogenic and geogenic origins on a modular basis using 'risk cells'Ata Allah Nadiri, Sina Sadeghfam, Maryam Gharekhani, et al.
Environmental Science and Pollution Research International|January 23, 2025
Assessing uncertainties in modeling the risk of geogenic groundwater contaminationMaryam Gharekhani, Ata Allah Nadiri, Nasser Jabraili Andaryan, et al.
Journal of Environmental Management|December 11, 2021
A study of uncertainties in groundwater vulnerability modelling using Bayesian model averaging (BMA)Maryam Gharekhani, Ata Allah Nadiri, Rahman Khatibi, et al.
The Science of the Total Environment|September 25, 2016
Groundwater vulnerability indices conditioned by Supervised Intelligence Committee Machine (SICM)Ata Allah Nadiri, Maryam Gharekhani, Rahman Khatibi, et al.
Journal of Environmental Management|January 30, 2023
Quantifying the groundwater total contamination risk using an inclusive multi-level modelling strategyMaryam Gharekhani, Ata Allah Nadiri, Rahman Khatibi, et al.
Journal of Environmental Health Science & Engineering|August 11, 2016
Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined aquifer of Shiraz Plain, IranMohammad Ali Baghapour, Amir Fadaei Nobandegani, Nasser Talebbeydokhti, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
The Science of the Total Environment|March 26, 2017
Mapping vulnerability of multiple aquifers using multiple models and fuzzy logic to objectively derive model structuresAta Allah Nadiri, Zahra Sedghi, Rahman Khatibi, et al.
Journal of Environmental Management|June 15, 2021
An investigation into time-variant subsidence potentials using inclusive multiple modelling strategiesMaryam Gharekhani, Ata Allah Nadiri, Rahman Khatibi, et al.
Environmental Science and Pollution Research International|February 15, 2017
Assessment of groundwater vulnerability using supervised committee to combine fuzzy logic modelsAta Allah Nadiri, Maryam Gharekhani, Rahman Khatibi, et al.
Journal of Environmental Management|April 14, 2018
Introducing the risk aggregation problem to aquifers exposed to impacts of anthropogenic and geogenic origins on a modular basis using 'risk cells'Ata Allah Nadiri, Sina Sadeghfam, Maryam Gharekhani, et al.
Environmental Science and Pollution Research International|January 23, 2025
Assessing uncertainties in modeling the risk of geogenic groundwater contaminationMaryam Gharekhani, Ata Allah Nadiri, Nasser Jabraili Andaryan, et al.
Journal of Environmental Management|December 11, 2021
A study of uncertainties in groundwater vulnerability modelling using Bayesian model averaging (BMA)Maryam Gharekhani, Ata Allah Nadiri, Rahman Khatibi, et al.
The Science of the Total Environment|September 25, 2016
Groundwater vulnerability indices conditioned by Supervised Intelligence Committee Machine (SICM)Ata Allah Nadiri, Maryam Gharekhani, Rahman Khatibi, et al.
Journal of Environmental Management|January 30, 2023
Quantifying the groundwater total contamination risk using an inclusive multi-level modelling strategyMaryam Gharekhani, Ata Allah Nadiri, Rahman Khatibi, et al.
Journal of Environmental Health Science & Engineering|August 11, 2016
Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined aquifer of Shiraz Plain, IranMohammad Ali Baghapour, Amir Fadaei Nobandegani, Nasser Talebbeydokhti, et al.
Pageof 1