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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 …
Identification of contaminant source characteristics and monitoring network design in groundwater aquifers: an overview
M Amirabdollahian, B Datta - Journal of …, 2013 - researchonline.jcu.edu.au
The groundwater system is often polluted by different sources of contamination where the
sources are difficult to detect. The presence of contamination in groundwater poses …
sources are difficult to detect. The presence of contamination in groundwater poses …
Machine learning for groundwater pollution source identification and monitoring network optimization
The identification of the source in groundwater pollution is the only way to drastically deal
with resulting environmental problems. This can only be achieved by an appropriate …
with resulting environmental problems. This can only be achieved by an appropriate …
Optimal characterization of pollutant sources in contaminated aquifers by integrating sequential-monitoring-network design and source identification: methodology …
Often, when pollution is rst detected in groundwater, very few spatiotemporal pollutant
concentration measurements are available. The contaminant concentration measurement …
concentration measurements are available. The contaminant concentration measurement …
Identification of clandestine groundwater pollution sources using heuristics optimization algorithms: a comparison between simulated annealing and particle swarm …
Groundwater pollution is the biggest threat to sustainability of groundwater resources and
even more difficult to detect in case of clandestine sources. At the time when pollution is first …
even more difficult to detect in case of clandestine sources. At the time when pollution is first …
Optimal remediation design of unconfined contaminated aquifers based on the finite element method and a modified firefly algorithm
Remediation of contaminated sites requires an optimal decision making system to develop
remediation techniques in a cost-effective and efficient manner. A coupled simulation …
remediation techniques in a cost-effective and efficient manner. A coupled simulation …
[HTML][HTML] Adjoint subordination to calculate backward travel time probability of pollutants in water with various velocity resolutions
Backward probabilities, such as the backward travel time probability density function for
pollutants in natural aquifers/rivers, have been used by hydrologists for decades in water …
pollutants in natural aquifers/rivers, have been used by hydrologists for decades in water …
Linked simulation-optimization based dedicated monitoring network design for unknown pollutant source identification using dynamic time war** distance
MK Jha, B Datta - Water resources management, 2014 - Springer
Implementation of monitoring strategy for increasing the efficiency of groundwater pollutant
source characterization is often necessary, especially when only inadequate and arbitrary …
source characterization is often necessary, especially when only inadequate and arbitrary …
Detection of pollutant source in groundwater using hybrid optimization model
Detection of groundwater pollution source is an inverse problem. To solve this inverse
problem, it has been posed into an optimization problem. In this study, a hybrid optimization …
problem, it has been posed into an optimization problem. In this study, a hybrid optimization …
Fractal singularity–based multiobjective monitoring networks for reactive species contaminant source characterization
The first step in effective design of contaminated aquifer site remediation is the accurate
characterization of contaminant sources, which requires a large amount of concentration …
characterization of contaminant sources, which requires a large amount of concentration …