| Literature DB >> 27669378 |
Xi-Jun Xu1, Chuan Chen2, Ai-Jie Wang1, Bing-Jie Ni3, Wan-Qian Guo1, Ye Yuan1, Cong Huang1, Xu Zhou1, Dong-Hai Wu1, Duu-Jong Lee4, Nan-Qi Ren5.
Abstract
A mathematical model of carbon, nitrogen and sulfur removal (C-N-S) from industrial wastewater was constructed considering the interactions of sulfate-reducing bacteria (SRB), sulfide-oxidizing bacteria (SOB), nitrate-reducing bacteria (NRB), facultative bacteria (FB), and methane producing archaea (MPA). For the kinetic network, the bioconversion of C-N by heterotrophic denitrifiers (NO3-→NO2-→N2), and that of C-S by SRB (SO42-→S2-) and SOB (S2-→S0) was proposed and calibrated based on batch experimental data. The model closely predicted the profiles of nitrate, nitrite, sulfate, sulfide, lactate, acetate, methane and oxygen under both anaerobic and micro-aerobic conditions. The best-fit kinetic parameters had small 95% confidence regions with mean values approximately at the center. The model was further validated using independent data sets generated under different operating conditions. This work was the first successful mathematical modeling of simultaneous C-N-S removal from industrial wastewater and more importantly, the proposed model was proven feasible to simulate other relevant processes, such as sulfate-reducing, sulfide-oxidizing process (SR-SO) and denitrifying sulfide removal (DSR) process. The model developed is expected to enhance our ability to predict the treatment of carbon-nitrogen-sulfur contaminated industrial wastewater.Entities:
Keywords: Carbon; Industrial wastewater treatment; Mathematical modeling; Nitrogen; Sulfur
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Year: 2016 PMID: 27669378 DOI: 10.1016/j.jhazmat.2016.08.074
Source DB: PubMed Journal: J Hazard Mater ISSN: 0304-3894 Impact factor: 10.588