Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)

Effect of Influent Ratio on Anaerobic Treatment of Coal Gasification Wastewater

Authors
Shi-dong Yang, Wen-xin Tao, Lu-hua Liao
Corresponding Author
Shi-dong Yang
Available Online December 2017.
DOI
https://doi.org/10.2991/anit-17.2018.20How to use a DOI?
Keywords
coal gasification wastewater, anaerobic ammonium oxidation, denitrification, influent ratio, removal of carbon and nitrogen.
Abstract
The synactic effect of anammox coupling with heterotrophic denitrification process was investigated in an anaerobic reactor with an influent at the temperature of 35 , pH of 7.0, hydraulic detention time (HRT) of 30 h. The nitrate and nitrite solution with different ratio (R=0-100%) to raw waste water was introduced into the influent with ammonia of 70-120 mg/L, COD concentration of 800-1200 mg/L before entering the anaerobic reactor to investigate the removal of nitrogen and organics. The experimental results show that in the influent ratio is 75%, the removal of ammonia, nitrite, total nitrogen (TN) and COD can reach 55.71%, 63.65%, 64.56% and 80%, respectively, under the condition of ammonia nitrogen, nitrite nitrogen influent concentration of 75.43mg/L99.87mg/La TN load of 233.82 mg /(L-d). The results show that the optimum dilution can not only dilute the raw waste water but also achieve co-effect of anammox and anaerobic denitrification by dosing appropriate nitrate and nitrate.
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Proceedings
2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2017
ISBN
978-94-6252-447-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/anit-17.2018.20How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Shi-dong Yang
AU  - Wen-xin Tao
AU  - Lu-hua Liao
PY  - 2017/12
DA  - 2017/12
TI  - Effect of Influent Ratio on Anaerobic Treatment of Coal Gasification Wastewater
BT  - 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/anit-17.2018.20
DO  - https://doi.org/10.2991/anit-17.2018.20
ID  - Yang2017/12
ER  -