AIMC Topic: Soil Pollutants
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Unlocking the potential of Eudrilus eugeniae in mitigating the pollution risk of pesticides and heavy metals: Fostering machine learning tactics to optimize environmental health.
The Science of the total environment
Mar 8, 2025
Agro-industrial waste management remains a critical challenge in sustainable development, particularly due to contamination with heterogeneous micropollutants such as heavy metals (HMs), pesticides, and polyphenols. This study explores an innovative ...
Construction of multi-metal interspecies correlation estimation models based on typical soil scenarios.
Environmental research
Feb 28, 2025
The ecological risk assessment of metals in soils is essential for soil pollution management. However, regional soil heterogeneity and species diversity need to be considered when making these assessments. Therefore, an interspecies correlation estim...
Uncovering soil heavy metal pollution hotspots and influencing mechanisms through machine learning and spatial analysis.
Environmental pollution (Barking, Essex : 1987)
Feb 21, 2025
Soil heavy metal (HM) pollution is a significant and widespread environmental issue in China, highlighting the need to quantify influencing factors and identify priority concern areas for effective prevention and management. Based on published litera...
A novel graph convolutional neural network model for predicting soil Cd and As pollution: Identification of influencing factors and interpretability.
Ecotoxicology and environmental safety
Feb 19, 2025
Soil pollution caused by toxic metals poses serious threats to the ecological environment and human well-being. Accurately predicting toxic metal concentrations is critical for safeguarding soil environmental security. However, the distribution of so...
Development of a method for detecting and classifying hydrocarbon-contaminated soils via laser-induced breakdown spectroscopy and machine learning algorithms.
Environmental science and pollution research international
Feb 5, 2025
In recent years, there has been a significant increase in oil exploration and exploitation activities, resulting in spills that pose a severe threat to the environment and public health. The present work aims to develop a method to detect and classif...
A spatial interpolation method based on 3D-CNN for soil petroleum hydrocarbon pollution.
PloS one
Jan 24, 2025
Petroleum hydrocarbon pollution causes significant damage to soil, so accurate prediction and early intervention are crucial for sustainable soil management. However, traditional soil analysis methods often rely on statistical methods, which means th...
Using machine learning to predict selenium content in crops: Implications for soil health and agricultural land utilization in longevity regions.
The Science of the total environment
Jan 21, 2025
Selenium (Se) is an indispensable trace element to human health, yet its biological tolerance threshold is relatively narrow. The potential application of machine learning methods to indirectly predict the Se content in crops across regional areas, t...
Artificial neural networks to estimate the sorption and desorption of the herbicide linuron in Brazilian soils.
Environmental pollution (Barking, Essex : 1987)
Jan 15, 2025
Generally, herbicides used in Brazil follow manufacturer's recommendations, which often do not consider soil attributes. Statistical models that include the physicochemical properties of the soil involved in herbicide retention processes could enable...
Interpretable machine learning reveals transport of aged microplastics in porous media: Multiple factors co-effect.
Water research
Jan 12, 2025
Microplastics (MPs) easily migrate into deeper soil layers, posing potential risks to subterranean habitats and groundwater. However, the mechanisms governing the vertical migration of MPs in soil, particularly aged MPs, remain unclear. In this study...
Classification of soil contamination by heavy metals (Cr, Ni, Pb, Zn) in wildfire-affected areas using laser-induced breakdown spectroscopy and machine learning.
Environmental science and pollution research international
Jan 8, 2025
The assessment of soil contamination by heavy metals is of high importance due to its impact on the environment and human health. Standard high-sensitivity spectroscopic techniques for this task such as atomic absorption spectrometry (AAS) and induct...
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