Biodegradable organic matter removal in biological filters: evaluation of the CHABROL model

摘要: The implementation of biological filtration on granular activated carbon under various operating conditions has revealed that biodegradable organic matter (BOM) removal performance is not easily predicted. In this context, the statistical analysis differences between experimental data and calculated by a deterministic model may provide insight into source prediction errors. CHABROL model, developed Billen et al., (1992), relates BOM consumption to biomass densities in order predict profiles filters (BAC) rapid sand filters. This work presents results testing using large database from pilot full-scale located two Canadian cities: Laval Montreal. includes different water sources three configurations (direct filtration, first-stage dual-medium sand-BAC second-stage mono-medium BAC filters). Since nearly half all were obtained at very low temperatures (≤1°C), impact prolonged acclimation cold was investigated ensure accurate model. Experimental have shown modifications be made account for temperature prevent estimations BDOC removals. show overall satisfactory ability removals types filters, except sampling campaigns completed just prior backwash. comparison shows interest predictive dynamically operated which used design operation.