Mathematical modeling of simultaneous carbon-nitrogen-sulfur removal from industrial wastewater

Xi-Jun Xu; Chuan Chen; Ai-Jie Wang; Bing-Jie Ni; Wan-Qian Guo; Ye Yuan; Cong Huang; Xu Zhou; Dong-Hai Wu; Duu-Jong Lee; Nan-Qi Ren

doi:10.1016/j.jhazmat.2016.08.074

Mathematical modeling of simultaneous carbon-nitrogen-sulfur removal from industrial wastewater

Xi-Jun Xu
, Chuan Chen^*
, Ai-Jie Wang
, Bing-Jie Ni
, Wan-Qian Guo
, Ye Yuan
, Cong Huang
, Xu Zhou
, Dong-Hai Wu
, Duu-Jong Lee
, Nan-Qi Ren

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

27 Citations (Scopus)

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 (SO₄ ²⁻ → 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.

Original language	English
Pages (from-to)	371-381
Journal	Journal of Hazardous Materials
Volume	321
DOIs	https://doi.org/10.1016/j.jhazmat.2016.08.074
Publication status	Published - 5 Jan 2017
Externally published	Yes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 6 Clean Water and Sanitation
SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

Carbon
Industrial wastewater treatment
Mathematical modeling
Nitrogen
Sulfur

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10.1016/j.jhazmat.2016.08.074

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title = "Mathematical modeling of simultaneous carbon-nitrogen-sulfur removal from industrial wastewater",

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 (SO4 2− → 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.",

keywords = "Carbon, Industrial wastewater treatment, Mathematical modeling, Nitrogen, Sulfur",

author = "Xi-Jun Xu and Chuan Chen and Ai-Jie Wang and Bing-Jie Ni and Wan-Qian Guo and Ye Yuan and Cong Huang and Xu Zhou and Dong-Hai Wu and Duu-Jong Lee and Nan-Qi Ren",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected]. ",

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doi = "10.1016/j.jhazmat.2016.08.074",

language = "English",

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TY - JOUR

T1 - Mathematical modeling of simultaneous carbon-nitrogen-sulfur removal from industrial wastewater

AU - Xu, Xi-Jun

AU - Chen, Chuan

AU - Wang, Ai-Jie

AU - Ni, Bing-Jie

AU - Guo, Wan-Qian

AU - Yuan, Ye

AU - Huang, Cong

AU - Zhou, Xu

AU - Wu, Dong-Hai

AU - Lee, Duu-Jong

AU - Ren, Nan-Qi

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2017/1/5

Y1 - 2017/1/5

N2 - 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 (SO4 2− → 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.

AB - 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 (SO4 2− → 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.

KW - Carbon

KW - Industrial wastewater treatment

KW - Mathematical modeling

KW - Nitrogen

KW - Sulfur

UR - https://www.scopus.com/pages/publications/84988672525

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84988672525&origin=recordpage

U2 - 10.1016/j.jhazmat.2016.08.074

DO - 10.1016/j.jhazmat.2016.08.074

M3 - RGC 21 - Publication in refereed journal

C2 - 27669378

SN - 0304-3894

VL - 321

SP - 371

EP - 381

JO - Journal of Hazardous Materials

JF - Journal of Hazardous Materials

ER -

Mathematical modeling of simultaneous carbon-nitrogen-sulfur removal from industrial wastewater

Abstract

Bibliographical note

UN SDGs

Research Keywords

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