Publications by authors named "Meijuan Kuang"
Machine learning-assisted risk evaluation of heavy metals in the Hainan gold mining region, China.
Environ Monit Assess
October 2024
Article Synopsis
- - This study analyzed the effects of informal mining on heavy metal pollution in soils around gold mines in Hainan Province, China, using machine learning to assess pollutants like lead, cadmium, and mercury from 175 soil samples collected at various depths.
- - Findings showed that levels of several heavy metals in surface soils significantly surpassed China's background values, indicating severe pollution at informal mining sites, with strong correlations between metal concentrations in surface and deeper soils.
- - The research established predictive models for soil pollution indicators with high accuracy, highlighting how informal mining impacts soil quality and metal distribution, while demonstrating the effectiveness of machine learning in environmental assessments.
The surge in kitchen waste production is causing food-borne disease epidemics and is a public health threat worldwide. Additionally, the effectiveness of conventional treatment approaches may be hampered by KW's high moisture, salt, and oil content. Hydrothermal carbonization (HTC) is a promising new technology to convert waste biomass into environmentally beneficial derivatives.
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