Machine learning approaches for monitoring environmental metal pollutants: Recent advances in source apportionment, detection, quantification, and risk assessment …

F Nkinahamira, A Feng, L Zhang, H Rong… - TrAC Trends in …, 2024 - Elsevier
Metal pollutants pose significant and enduring threats to human health and the environment,
mainly due to their non-biodegradable nature. Traditional monitoring of these pollutants …

A systematic review of current AI techniques used in the context of the SDGs

L Greif, F Röckel, A Kimmig, J Ovtcharova - International Journal of …, 2025 - Springer
This study aims to explore the application of artificial intelligence (AI) in the resolution of
sustainability challenges, with a specific focus on environmental studies. Given the rapidly …

Animal-based CO2, CH4, and N2O emissions analysis: Machine learning predictions by agricultural regions and climate dynamics in varied scenarios

I Pence, K Kumas, MS Cesmeli, A Akyüz - Computers and Electronics in …, 2024 - Elsevier
Livestock is an essential source of livelihood and food. In the context of climate change,
animal-based greenhouse gas (GHG) emissions are of great importance. This study …

Regional metal pollution risk assessment based on a long short-term memory model: A case study of the South Altai Mountain mining area, China

Y Cheng, K Zhou, J Wang, S Cui, J Yan… - Journal of Cleaner …, 2022 - Elsevier
The discharge of wastewater and waste rock in mining production activities is a significant
hidden cause of soil heavy metal pollution. The accumulation of heavy metals in soil occurs …

Enhancing local-scale groundwater quality predictions using advanced machine learning approaches

A Yadav, A Raj, B Yadav - Journal of Environmental Management, 2024 - Elsevier
Assessing groundwater quality typically involves labor-intensive, time-consuming, and costly
laboratory tests, making real-time monitoring impractical, especially at the local level …

Spatio-temporal suspended sediment fingerprinting under different land management practices

M Mohammadi, AK Darvishan, N Bahramifar… - International Journal of …, 2023 - Elsevier
Understanding spatio-temporal suspended sediment dynamics is more important in large
watersheds due to the decisive role of local source apportionment in sediment transport and …

Sources and risk characteristics of heavy metals in plateau soils predicted by Geo-Detectors

Q Wen, L Yang, J Yu, B Wei, S Yin - Remote Sensing, 2023 - mdpi.com
The ecological environment of the remote plateaus has been a challenge plaguing many
countries due to global warming, increased human activities, and frequent occurrence of …

A novel framework to improve the consistency of water quality attribution from natural and anthropogenic factors

S Tong, W Li, J Chen, R Xia, J Lin, Y Chen… - Journal of Environmental …, 2023 - Elsevier
One critical question for water security and sustainable development is how water quality
responses to the changes in natural factors and human activities, especially in light of the …

The research trend on arsenic pollution in freshwater: A bibliometric review

J Yuan, Q Li, Y Zhao - Environmental Monitoring and Assessment, 2022 - Springer
We conducted a quantitative and qualitative bibliometric analysis based on 8740 research
articles from the Web of Science Core Collection published in the last 20 years (2000–2020) …

Probabilistic mapping of imbalanced data for groundwater contamination using classification algorithms: Performance and reliability

Y Qiu, A Zhou, H Xiong, D Zhang, C Su, S Zhou… - Groundwater for …, 2025 - Elsevier
The probabilistic mapping of groundwater contamination is a crucial foundation for
sustainable groundwater management. However, groundwater data often exhibit imbalance …