Empirical approach to predict leached nutrients from landfill site

Area of Science:

• Environmental Science
• Geotechnical Engineering
• Soil Science

Background:

• Landfill effluents pose risks due to leached nutrients like sodium (Na), calcium (Ca), and potassium (K).
• Understanding nutrient leaching is crucial for effective landfill design and environmental protection.

Purpose of the Study:

• To empirically predict leached concentrations of Na, Ca, and K from landfill soil columns.
• To investigate the influence of geometrical parameters, ponding depth, and inflow rates on nutrient leaching.

Main Methods:

• Experimental columns with landfill refuse and local soil layers were subjected to controlled water infiltration.
• Nutrient concentrations in leachates were measured using a flame photometer.
• Nonlinear least squares regression analysis was used to develop empirical prediction models.

Main Results:

• Observed mixed leaching and trapping of nutrients within the soil layers.
• Higher ponding depths and inflow rates correlated with increased nutrient leaching.
• Exponential equations provided the best empirical fit for predicting leached nutrient concentrations.

Conclusions:

• Empirical models were successfully developed to predict Na, Ca, and K leaching.
• The models demonstrate high predictive accuracy, supported by strong correlation coefficients.
• Findings provide valuable insights for managing leachate composition in landfill sites.