A comprehensive simulation approach for pollutant bio-transformation in the gravity sewer
Nan Zhao1, Huu Hao Ngo2, Yuyou Li3, Xiaochang Wang1, Lei Yang1, Pengkang Jin1(), Guangxi Sun4
1. School of Environmental and Municipal Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China 2. Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology, Sydney, NSW 2007, Australia 3. Department of Civil and Environmental Engineering, Tohoku University, Sendai, Miyagi 980-8579, Japan 4. Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
A comprehensive pollutant transformation model for sewer systems is established.
The model comprises fermentation, sulfate reduction and ammonification processes.
Biochemical reactions related to distinct carbon sources are depicted in the model.
Pollutant transformation is attributed to different biochemical reaction processes.
Presently, several activated sludge models (ASMs) have been developed to describe a few biochemical processes. However, the commonly used ASM neither clearly describe the migratory transformation characteristics of fermentation nor depict the relationship between the carbon source and biochemical reactions. In addition, these models also do not describe both ammonification and the integrated metabolic processes in sewage transportation. In view of these limitations, we developed a new and comprehensive model that introduces anaerobic fermentation into the ASM and simulates the process of sulfate reduction, ammonification, hydrolysis, acidogenesis and methanogenesis in a gravity sewer. The model correctly predicts the transformation of organics including proteins, lipids, polysaccharides, etc. The simulation results show that the degradation of organics easily generates acetic acid in the sewer system and the high yield of acetic acid is closely linked to methanogenic metabolism. Moreover, propionic acid is the crucial substrate for sulfate reduction and ammonification tends to be affected by the concentration of amino acids. Our model provides a promising tool for simulating and predicting outcomes in response to variations in wastewater quality in sewers.
Specific maximum uptake rate for carbon i in sulfate reduction
kg COD-substrate/(kg COD-carbon source·d)
km,substrate
Specific maximum uptake rate of substrate
kg COD-substrate/(kg COD-biomass·d)
km, homo
Specific maximum uptake rate in homoacetogenesis
kg COD-substrate/(kg COD-biomass·d)
ksubstrate
Half-saturation coefficient of substrate
kmol/m3
ks,homo
Half saturation coefficient in homoacetogenisis
kg COD/m3
kSO4,i
Half saturation coefficient of carbon i in sulfate reduction
kmol/m3
Lf
Biofilm thickness
m
rif
Concentration generation (consumption) rate for substrate
mg/(L·min)
PH2S
The hydrogen sulfide pressure
Pa
S
Concentration
mg/L
SCH4,substrate
Methane generated from substrate
mg/m3
Ssubstrate
Concentration of substrate
kg COD/m3
Si
Carbon content of component i
kg COD/m3
Sin
The influent concentration of the substrate
mg/L
Sout
The effluent concentration of the substrate
mg/L
Xalcohol
Ethanol consuming microorganism
copies/mL
Xhomo
Homoacetogenic bacteria
copies/mL
XSRB
SRB
copies/mL
Ysubstrate
Biomass yield on substrate
kg COD-biomass/kg COD-substrate
Yhomo
Biomass yield on homoacetogenesis process
kg COD-biomass/kg COD-substrate
hf,i
The effectiveness factor
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