Parameter-efficient bioclogging model: calibration and comparison with laboratory data

Abstract

A parameter-efficient bioclogging model coupled with hydrodynamics was developed with a stepwise numerical calculation. Column lab tests were carried out to calibrate and verify the bioclogging model developed in this paper. The results showed that the experimental data fit well with the simulation data, which indicated that the developed model was reasonable. According to the sensitivity analysis of the parameters, the BOD (biochemical oxygen demand) loading rate and deposition coefficient are the key parameters for bioclogging. The results illustrate how the clogging is impacted by changing the BOD loading rate and can predict the biofilm accumulation within the substrate, the microbial saturation along the substrate profile over time, and the biofilter longevity based on the biomass growth. The model could dynamically describe the entire process of biological clogging and could quantitatively predict the amount of biofilm accumulated in the pores with the increasing operation time, which provides a basis for the prediction of biological clogging.

Graphical abstract

from Energy Ecology Environment Ambio via Terpsi Hori on Inoreader https://ift.tt/2Gb0MbL