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 …

Contaminant source identification in groundwater by means of artificial neural network

D Secci, L Molino, A Zanini - Journal of Hydrology, 2022 - Elsevier
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 …

Neural network based solutions for locating groundwater pollution sources

J Kumar, A Jain, R Srivastava - Hydrology Journal, 2006 - indianjournals.com
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 …

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 …

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 …

[PDF][PDF] Optimal monitoring network design for efficient identification of unknown groundwater pollution sources

O Prakash, B Datta - GEOMATE Journal, 2014 - geomatejournal.com
Application of linked simulation-optimization approach for solving groundwater identification
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 …

Deep autoregressive neural networks for high‐dimensional inverse problems in groundwater contaminant source identification

S Mo, N Zabaras, X Shi, J Wu - Water Resources Research, 2019 - Wiley Online Library
Identification of a groundwater contaminant source simultaneously with the hydraulic
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 …

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 …