Application of machine learning in groundwater quality modeling-A comprehensive review
Groundwater is a crucial resource across agricultural, civil, and industrial sectors. The
prediction of groundwater pollution due to various chemical components is vital for planning …
prediction of groundwater pollution due to various chemical components is vital for planning …
Integrating artificial intelligence, machine learning, and deep learning approaches into remediation of contaminated sites: A review
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 …
the environment and human health. Remediating such sites is a cumbersome process with …
Environmental source tracking of per-and polyfluoroalkyl substances within a forensic context: current and future techniques
The source tracking of per-and polyfluoroalkyl substances (PFASs) is a new and
increasingly necessary subfield within environmental forensics. We define PFAS source …
increasingly necessary subfield within environmental forensics. We define PFAS source …
Can machine learning accelerate process understanding and decision‐relevant predictions of river water quality?
The global decline of water quality in rivers and streams has resulted in a pressing need to
design new watershed management strategies. Water quality can be affected by multiple …
design new watershed management strategies. Water quality can be affected by multiple …
Microbial dark matter: from discovery to applications
With the rapid increase of the microbiome samples and sequencing data, more and more
knowledge about microbial communities has been gained. However, there is still much more …
knowledge about microbial communities has been gained. However, there is still much more …
Unsupervised phase map** of X-ray diffraction data by nonnegative matrix factorization integrated with custom clustering
Analyzing large X-ray diffraction (XRD) datasets is a key step in high-throughput map** of
the compositional phase diagrams of combinatorial materials libraries. Optimizing and …
the compositional phase diagrams of combinatorial materials libraries. Optimizing and …
Contaminant source identification in aquifers: A critical view
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 …
Distribution, source identification and health risk assessment of PFASs in groundwater from Jiangxi Province, China
There is an urgent need to investigate on the distribution and fate of short-chain analogues
and emerging per-and polyfluoroalkyl substances (PFASs) in groundwater, and little …
and emerging per-and polyfluoroalkyl substances (PFASs) in groundwater, and little …
Machine-learning predictions of the shale wells' performance
The ultra-low permeability nature of shale reservoirs leads to an extended linear flow and
necessitates horizontal wells with multi-stage engineered fractures to efficiently extract …
necessitates horizontal wells with multi-stage engineered fractures to efficiently extract …
A novel hybrid random forest linear model approach for forecasting groundwater fluoride contamination
MB Nafouanti, J Li, EE Nyakilla… - … Science and Pollution …, 2023 - Springer
Groundwater quality in the Datong basin is threatened by high fluoride contamination.
Laboratory analysis is a standard method for estimating groundwater quality parameters …
Laboratory analysis is a standard method for estimating groundwater quality parameters …