Publications by authors named "Ruhua Lu"
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 investigation of ecosystem respiration (RE) and its vital influential factors along with the timely and accurate detection of spatiotemporal variations in RE are essential for guiding agricultural production planning. RE observation in the plot region is primarily based on the laborious chamber method. However, upscaling the spatial-temporal estimates of RE at the canopy scale is still challenging.
View Article and Find Full Text PDF