Machine learning for groundwater pollution source identification and monitoring network optimization
YN Kontos, T Kassandros, K Perifanos… - Neural Computing and …, 2022 - Springer
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 …
Contaminant source identification in groundwater by means of artificial neural network
In a desired environmental protection system, groundwater may not be excluded. In addition
to the problem of over-exploitation, in total disagreement with the concept of sustainable …
to the problem of over-exploitation, in total disagreement with the concept of sustainable …
Neural network based solutions for locating groundwater pollution sources
The identification of pollution sources in aquifers is an important area of research for
hydrologists and governmental agencies. It may be possible to locate the polluting industry …
hydrologists and governmental agencies. It may be possible to locate the polluting industry …
ANN-based approach for the estimation of aquifer pollutant source behaviour
ML Foddis, P Ackerer, A Montisci… - Water Science and …, 2015 - iwaponline.com
The problem of identifying an unknown pollution source in polluted aquifers, based on
known contaminant concentration measurements, is part of the broader group of issues …
known contaminant concentration measurements, is part of the broader group of issues …
Optimal monitoring network and ground-water–pollution source identification
PS Mahar, B Datta - Journal of water resources planning and …, 1997 - ascelibrary.org
A methodology combining an optimal ground-water–quality monitoring network design and
an optimal source-identification model is presented. In the first step of the three-step …
an optimal source-identification model is presented. In the first step of the three-step …
[PDF][PDF] Optimal monitoring network design for efficient identification of unknown groundwater pollution sources
Application of linked simulation-optimization approach for solving groundwater identification
problems is well established. Pollutant concentration measurements from different sets of …
problems is well established. Pollutant concentration measurements from different sets of …
Simultaneous identification of groundwater pollution source spatial–temporal characteristics and hydraulic parameters based on deep regularization neural network …
Z Pan, W Lu, Z Chang - Journal of Hydrology, 2021 - Elsevier
The prerequisites for groundwater pollution remediation include providing accurate
identification of hydraulic parameters of the contaminated site and retrospecting pollution …
identification of hydraulic parameters of the contaminated site and retrospecting pollution …
Deep autoregressive neural networks for high‐dimensional inverse problems in groundwater contaminant source identification
Identification of a groundwater contaminant source simultaneously with the hydraulic
conductivity in highly heterogeneous media often results in a high‐dimensional inverse …
conductivity in highly heterogeneous media often results in a high‐dimensional inverse …
Coupling of logistic regression analysis and local search methods for characterization of water distribution system contaminant source
L Liu, EM Zechman, G Mahinthakumar… - … Applications of Artificial …, 2012 - Elsevier
Accidental or intentional drinking water contamination has long been and remains a major
threat to water security throughout the world. An inverse problem can be constructed, given …
threat to water security throughout the world. An inverse problem can be constructed, given …
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 …