Quantify the environmental factors interaction affecting soil Cd/As accumulation in farmland using collaborative...

Area of Science:

• Environmental Science
• Soil Science
• Geochemistry

Background:

• Farmland soil systems are complex, making it challenging to understand environmental factors influencing heavy metal accumulation.
• Previous research primarily offered qualitative insights into these interactions, lacking in-depth quantitative analysis.

Purpose of the Study:

• To develop and apply a novel quantitative model for analyzing environmental factor interactions affecting soil cadmium (Cd) and arsenic (As) concentrations in farmland.
• To provide a deeper understanding of the synergistic and dynamic relationships between environmental variables and heavy metal accumulation.

Main Methods:

• A new interaction effects quantization model was designed, integrating collaborative filtering with global spatial and local property graphs.
• The model was used to analyze the quantitative impacts of environmental factors on soil Cd/As concentrations.

Main Results:

• Precipitation and river density exhibited nonlinear synergistic relationships with Cd/As accumulation (R²=0.64 and 0.73).
• Environmental factor contributions varied dynamically: precipitation was key at moderate levels, while river density dominated at higher levels.
• Interaction effects for soil Cd lacked spatial variation, but soil As interactions were strongly location-dependent.

Conclusions:

• The study provides a robust quantitative framework for analyzing complex environmental interactions in farmland soils.
• Findings highlight the nuanced, non-linear, and spatially variable influences of environmental factors on heavy metal contamination.
• This research offers critical insights for refined risk assessment and management strategies for soil heavy metals.