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Soluble substrate concentrations in leachate from field scale MSW test cells.
Bestamin Ozkaya1, Ahmet Demir, M Sinan Bilgili
1Yildiz Technical University, Environmental Engineering Department, 34349 Istanbul, Turkey. bozkaya@yildiz.edu.tr
Journal of Hazardous Materials
|January 3, 2006
Summary
Leachate recirculation in landfills impacts non-biodegradable soluble chemical oxygen demand (COD). Models predict leachate composition changes, aiding in better effluent quality for biological treatment.
Area of Science:
- Environmental Engineering
- Waste Management
- Water Treatment
Background:
- Landfill leachate contains non-biodegradable soluble chemical oxygen demand (COD).
- Leachate recirculation is a landfill operation strategy with potential impacts on leachate characteristics.
Purpose of the Study:
- To monitor and model the non-biodegradable soluble COD in landfill leachates.
- To compare leachate characteristics from cells operated with and without leachate recirculation.
- To evaluate the effectiveness of different mathematical models in predicting leachate composition changes.
Main Methods:
- Monitoring of non-biodegradable soluble COD in leachates from two landfill test cells (C1: no recirculation, C2: recirculation) over 1080 days.
- Fitting various mathematical models (Logistic, Gompertz) to experimental data using statistical evaluation (SSE, R-square, RMSE).
- Estimation and discussion of pollution loads and BOD/COD ratios based on fitted model parameters.
Main Results:
- The inert soluble COD fraction (f(non)) increased significantly in both cells, reaching a maximum of 0.4 by day 600 due to anaerobic conditions.
- The Logistic model provided the best fit for the control cell (C1), while the Gompertz model best described the recirculation cell (C2).
- Pollution loads and BOD/COD ratios differed between the two cells, with implications for treatment.
Conclusions:
- Leachate recirculation influences the evolution of non-biodegradable soluble COD in landfill leachates.
- Selected mathematical models can accurately predict leachate composition changes over time.
- The findings support the use of predictive models for optimizing leachate treatment processes and improving effluent quality.