A machine learning framework bridging heavy metal contamination and human health risks in agricultural soils of the Yangtze River Delta (2001–2030) | Synapse
March 3, 2026
A machine learning framework bridging heavy metal contamination and human health risks in agricultural soils of the Yangtze River Delta (2001–2030)
Puntos clave
Heavy metal contamination in agricultural soils negatively affects human health risks across the Yangtze River Delta.
The analysis indicates that higher heavy metal levels correlate with increased health issues, underscoring environmental concerns.
Assessment using a machine learning framework reveals patterns linking soil contamination to health outcomes in 2001-2030.
This study highlights the urgent need for monitoring heavy metals in soils to mitigate health risks related to contamination.