The pollutants removal and bacterial community dynamics relationship within a full-scale British Gas/Lurgi coal gasification wastewater treatment using a novel system
•EBA system successfully treated British Gas/Lurgi coal gasification wastewater.•The effluent of EBA system met the reuse water requirements.•Wastewater characteristics and environmental variables affected bacteria community.•The pH, MLSS and total phenols loading were most three significant variabl...
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Published in | Bioresource technology Vol. 200; pp. 103 - 110 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
01.01.2016
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Subjects | |
Online Access | Get full text |
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Summary: | •EBA system successfully treated British Gas/Lurgi coal gasification wastewater.•The effluent of EBA system met the reuse water requirements.•Wastewater characteristics and environmental variables affected bacteria community.•The pH, MLSS and total phenols loading were most three significant variables.
The novel system of EBA (based on external circulation anaerobic (EC) process–biological enhanced (BE) process–anoxic/oxic (A/O) process) was applied to treat the British Gas/Lurgi coal gasification wastewater in Erdos, China. After a long time of commissioning, the EBA system represented a stable and highly efficient performance, particularly, the concentrations of COD, NH4+-N, total organic carbon, total nitrogen and volatile phenols in the final effluent reached 53, 0.3, 18, 106mg/L and not detected, respectively. Both the GC–MS and fluorescence excitation–emission matrix analyses revealed significant variations of organic compositions in the effluent of different process. The results of high-throughput sequencing represented the EBA system composed 34 main bacteria which were affiliated to 7 phyla. In addition, the canonical correspondence analysis indicated high coherence among community composition, wastewater characteristics and environmental variables, in which the pH, mixed liquid suspended solids and total phenols loading were the most three significant variables. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0960-8524 1873-2976 |
DOI: | 10.1016/j.biortech.2015.10.005 |