Risk assessment and early warning of soil heavy metal contamination based on the environmental capacity and Bayesian maximum entropy theory

Key Points

• Soil heavy metal contamination risk assessment provides crucial insights for environmental management.
• Key evidence shows that applying Bayesian maximum entropy theory can improve prediction accuracy significantly.
• Modeling utilizes environmental capacity principles to enhance the detection of contamination levels in soil samples.
• These findings highlight the importance of early warning systems to mitigate environmental health risks and inform community policy.