AIMC Topic: Soil Pollutants

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Machine learning-assisted source identification and probabilistic ecological-health risk assessment of heavy metal(loid)s in urban park soils.

Scientific reports May 20, 2025
The accumulation of heavy metal(loid)s (HMs) in the soils of urban parks in industrial cities has raised global concerns because of their environmental and health impacts. However, traditional deterministic assessments commonly overlook uncertainties...
Humans Machine Learning Soil Risk Assessment China Cities Environmental Monitoring Soil Pollutants Parks, Recreational Metals, Heavy Mining
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Hidden threats beneath: uncovering the bio-accessible hazards of chromite-asbestos mine waste and their impacts on rice components via multi-machine learning algorithm.

Environmental geochemistry and health May 17, 2025
The chromite-asbestos mining leaves behind tonnes of toxic waste, contaminating nearby agricultural fields with potentially toxic elements (PTEs). Over time, wind and water erosion spread these pollutants, severely impacting the ecosystem, food chain...
Humans Machine Learning Algorithms Risk Assessment Environmental Monitoring Food Contamination Soil Pollutants Chromium Oryza Industrial Waste Mining
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[Soil Cadmium Prediction and Health Risk Assessment of an Oasis on the Eastern Edge of the Tarim Basin Based on Feature Optimization and Machine Learning].

Huan jing ke xue= Huanjing kexue Aug 8, 2024
Soil heavy metal pollution poses a serious threat to food security, human health, and soil ecosystems. Based on 644 soil samples collected from a typical oasis located at the eastern margin of the Tarim Basin, a series of models, namely, multiple lin...
Humans Neural Networks, Computer Machine Learning Soil Ecosystem Risk Assessment China Environmental Monitoring Support Vector Machine Soil Pollutants Cadmium Linear Models
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