Integrating artificial intelligence, machine learning, and deep learning approaches into remediation of contaminated sites: A review

JK Janga, KR Reddy, R Kvns - Chemosphere, 2023 - Elsevier
The growing number of contaminated sites across the world pose a considerable threat to
the environment and human health. Remediating such sites is a cumbersome process with …

Dynamic Groundwater Contamination Vulnerability Assessment Techniques: A Systematic Review

A Banerjee, L Creedon, N Jones, L Gill, S Gharbia - Hydrology, 2023 - mdpi.com
Assuring the quantity and quality of groundwater resources is essential for the well-being of
human and ecological health, society, and the economy. For the last few decades …

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 …

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 …

Prediction of groundwater contamination in an open landfill area using a novel hybrid clustering-based AI model

P Singh, V Mahor, N Lakshmaiya… - Environment …, 2024 - yadda.icm.edu.pl
Groundwater contamination is a serious environmental issue in many urban areas, posing a
significant threat to public health and the environment. Groundwater contamination …

Identifying groundwater contaminant sources based on a KELM surrogate model together with four heuristic optimization algorithms

Y Zhao, R Qu, Z Xing, W Lu - Advances in Water Resources, 2020 - Elsevier
Identifying groundwater contaminant sources involves a reverse determination of the source
characteristics by monitoring contaminant concentrations in a few observation wells …

New approach for point pollution source identification in rivers based on the backward probability method

J Wang, J Zhao, X Lei, H Wang - Environmental pollution, 2018 - Elsevier
Pollution risk from the discharge of industrial waste or accidental spills during transportation
poses a considerable threat to the security of rivers. The ability to quickly identify the …

Identification of groundwater contamination sources using meshfree RPCM simulation and particle swarm optimization

L Guneshwor, TI Eldho, A Vinod Kumar - Water Resources Management, 2018 - Springer
In this study, a simulation-optimization (SO) model is presented by coupling a meshfree
based simulator using radial point collocation method (RPCM) and particle swarm …

Groundwater system modeling for simultaneous identification of pollution sources and parameters with uncertainty characterization

D Srivastava, RM Singh - Water resources management, 2015 - Springer
Contamination of groundwater poses serious threat to the human health and environment. It
is difficult and expensive to clean up contaminated aquifers. Identification of unknown …

Comparative study of surrogate models for groundwater contamination source identification at DNAPL-contaminated sites.

Z Hou, W Lu - Hydrogeology Journal, 2018 - search.ebscohost.com
Abstract Knowledge of groundwater contamination sources is critical for effectively
protecting groundwater resources, estimating risks, mitigating disaster, and designing …