A biofilm model for prediction of pollutant transformation in sewers.
This study developed a new sewer biofilm model to simulate the pollutant transformation and biofilm variation in sewers under aerobic, anoxic and anaerobic conditions. The biofilm model can describe the activities of heterotrophic, autotrophic, and sulfate-reducing bacteria (SRB) in the biofilm as well as the variations in biofilm thickness, the spatial profiles of SRB population and biofilm density. The model can describe dynamic biofilm growth, multiple biomass evolution and competitions among organic oxidation, denitrification, nitrification, sulfate reduction and sulfide oxidation in a heterogeneous biofilm growing in a sewer. The model has been extensively verified by three different approaches, including direct verification by measurement of the spatial concentration profiles of dissolved oxygen, nitrate, ammonia, and hydrogen sulfide in sewer biofilm. The spatial distribution profile of SRB in sewer biofilm was determined from the fluorescent in situ hybridization (FISH) images taken by a confocal laser scanning microscope (CLSM) and were predicted well by the model.
Jiang
Feng
F
School of Chemistry and Environment, South China Normal University, Guangzhou, China.
Leung
Derek Hoi-Wai
DH
Li
Shiyu
S
Chen
Guang-Hao
GH
Okabe
Satoshi
S
van Loosdrecht
Mark C M
MC
D052818:Autotrophic Processes; D001419:Bacteria / Q000378:metabolism*; D018441:Biofilms / Q000254:growth & development*; D018533:Biomass; D001711:Biotransformation; D002138:Calibration; D004323:Drainage, Sanitary; D052836:Heterotrophic Processes; D008954:Models, Biological; D013431:Sulfates / Q000378:metabolism; D014873:Water Pollutants / Q000032:analysis*
D013431:Sulfates; D014873:Water Pollutants