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Journal of Environmental Management
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July 30, 2020
An investigation into seasonal variations of groundwater nitrate by spatial modelling strategies at two levels by kriging and co-kriging models
Ali Asghar Rostami, Vahid Karimi, Rahman Khatibi, et al.
Journal of Environmental Management
|
June 15, 2021
An investigation into time-variant subsidence potentials using inclusive multiple modelling strategies
Maryam Gharekhani, Ata Allah Nadiri, Rahman Khatibi, et al.
The Science of the Total Environment
|
March 26, 2017
Mapping vulnerability of multiple aquifers using multiple models and fuzzy logic to objectively derive model structures
Ata Allah Nadiri, Zahra Sedghi, Rahman Khatibi, et al.
Journal of Environmental Management
|
September 16, 2018
Mapping specific vulnerability of multiple confined and unconfined aquifers by using artificial intelligence to learn from multiple DRASTIC frameworks
Ata Allah Nadiri, Zahra Sedghi, Rahman Khatibi, et al.
Environmental Science and Pollution Research International
|
February 15, 2017
Assessment of groundwater vulnerability using supervised committee to combine fuzzy logic models
Ata 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.
The Science of the Total Environment
|
September 23, 2017
The problem of identifying arsenic anomalies in the basin of Sahand dam through risk-based 'soft modelling'
Ata Allah Nadiri, Fariba Sadeghi Aghdam, Rahman Khatibi, et al.
Scientific Reports
|
May 18, 2022
Investigating meteorological/groundwater droughts by copula to study anthropogenic impacts
Sina Sadeghfam, Rasa Mirahmadi, Rahman Khatibi, et al.
The Science of the Total Environment
|
July 27, 2018
Introducing a new framework for mapping subsidence vulnerability indices (SVIs): ALPRIFT
Ata Allah Nadiri, Zeynab Taheri, 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.
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of 2
Search research articles
Search
Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
Journal of Environmental Management
|
July 30, 2020
An investigation into seasonal variations of groundwater nitrate by spatial modelling strategies at two levels by kriging and co-kriging models
Ali Asghar Rostami, Vahid Karimi, Rahman Khatibi, et al.
Journal of Environmental Management
|
June 15, 2021
An investigation into time-variant subsidence potentials using inclusive multiple modelling strategies
Maryam Gharekhani, Ata Allah Nadiri, Rahman Khatibi, et al.
The Science of the Total Environment
|
March 26, 2017
Mapping vulnerability of multiple aquifers using multiple models and fuzzy logic to objectively derive model structures
Ata Allah Nadiri, Zahra Sedghi, Rahman Khatibi, et al.
Journal of Environmental Management
|
September 16, 2018
Mapping specific vulnerability of multiple confined and unconfined aquifers by using artificial intelligence to learn from multiple DRASTIC frameworks
Ata Allah Nadiri, Zahra Sedghi, Rahman Khatibi, et al.
Environmental Science and Pollution Research International
|
February 15, 2017
Assessment of groundwater vulnerability using supervised committee to combine fuzzy logic models
Ata 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.
The Science of the Total Environment
|
September 23, 2017
The problem of identifying arsenic anomalies in the basin of Sahand dam through risk-based 'soft modelling'
Ata Allah Nadiri, Fariba Sadeghi Aghdam, Rahman Khatibi, et al.
Scientific Reports
|
May 18, 2022
Investigating meteorological/groundwater droughts by copula to study anthropogenic impacts
Sina Sadeghfam, Rasa Mirahmadi, Rahman Khatibi, et al.
The Science of the Total Environment
|
July 27, 2018
Introducing a new framework for mapping subsidence vulnerability indices (SVIs): ALPRIFT
Ata Allah Nadiri, Zeynab Taheri, 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.
Page
of 2