Inverse modeling of contaminant transport for pollution source identification in surface and groundwaters: a review
Fast and accurate identification of unknown pollution sources is a crucial and challenging
task in water resources management, in which the characteristics of unknown pollution …
task in water resources management, in which the characteristics of unknown pollution …
A linked simulation–optimization model for solving the unknown groundwater pollution source identification problems
MT Ayvaz - Journal of Contaminant Hydrology, 2010 - Elsevier
This study proposes a linked simulation–optimization model for solving the unknown
groundwater pollution source identification problems. In the proposed model, MODFLOW …
groundwater pollution source identification problems. In the proposed model, MODFLOW …
A hybrid simulation–optimization approach for solving the areal groundwater pollution source identification problems
MT Ayvaz - Journal of Hydrology, 2016 - Elsevier
In this study, a new simulation–optimization approach is proposed for solving the areal
groundwater pollution source identification problems which is an ill-posed inverse problem …
groundwater pollution source identification problems which is an ill-posed inverse problem …
A Kriging surrogate model coupled in simulation–optimization approach for identifying release history of groundwater sources
Y Zhao, W Lu, C Xiao - Journal of Contaminant Hydrology, 2016 - Elsevier
As the incidence frequency of groundwater pollution increases, many methods that identify
source characteristics of pollutants are being developed. In this study, a simulation …
source characteristics of pollutants are being developed. In this study, a simulation …
Contaminant source identification in aquifers: A critical view
JJ Gómez-Hernández, T Xu - Mathematical Geosciences, 2022 - Springer
Forty years and 157 papers later, research on contaminant source identification has grown
exponentially in number but seems to be stalled concerning advancement towards the …
exponentially in number but seems to be stalled concerning advancement towards the …
Application of a genetic algorithm to groundwater pollution source identification
K Han, R Zuo, P Ni, Z Xue, D Xu, J Wang, D Zhang - Journal of Hydrology, 2020 - Elsevier
The accurate identification of groundwater pollution sources is the key to site remediation
and management, which directly relates to the cost and effect of remediation during later …
and management, which directly relates to the cost and effect of remediation during later …
Identification of unknown groundwater pollution sources using classical optimization with linked simulation
Identification of unknown groundwater pollution sources still remains a challenging problem.
Some of the complexities include: sparse observation data, substantial variation in …
Some of the complexities include: sparse observation data, substantial variation in …
A comparison between ES-MDA and restart EnKF for the purpose of the simultaneous identification of a contaminant source and hydraulic conductivity
Understanding a contaminant source may help in a better management and risk assessment
of a polluted aquifer. However, contaminant source information may not be available when a …
of a polluted aquifer. However, contaminant source information may not be available when a …
Three-dimensional groundwater contamination source identification using adaptive simulated annealing
M Jha, B Datta - Journal of Hydrologic Engineering, 2013 - ascelibrary.org
Determination of groundwater contaminant source characteristics such as release histories
of unknown groundwater pollutant sources from concentration observation data is an …
of unknown groundwater pollutant sources from concentration observation data is an …
Joint identification of contaminant source and aquifer geometry in a sandbox experiment with the restart ensemble Kalman filter
Contaminant source identification is a key problem in handling groundwater pollution
events. The ensemble Kalman filter (EnKF) is used for the spatiotemporal identification of a …
events. The ensemble Kalman filter (EnKF) is used for the spatiotemporal identification of a …