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 inBioresource technology Vol. 200; pp. 103 - 110
Main Authors Jia, Shengyong, Han, Hongjun, Zhuang, Haifeng, Hou, Baolin
Format Journal Article
LanguageEnglish
Published England Elsevier Ltd 01.01.2016
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Abstract •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.
AbstractList 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.
•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.
Author Han, Hongjun
Hou, Baolin
Jia, Shengyong
Zhuang, Haifeng
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/26476170$$D View this record in MEDLINE/PubMed
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Keywords Pollutants removal
British Gas/Lurgi coal gasification wastewater
Biological treatment
High-throughput sequencing
Bacterial community dynamics
Language English
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Snippet •EBA system successfully treated British Gas/Lurgi coal gasification wastewater.•The effluent of EBA system met the reuse water requirements.•Wastewater...
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...
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SubjectTerms Anaerobiosis
Bacteria - genetics
Bacterial community dynamics
Biological Oxygen Demand Analysis
Biological treatment
Bioreactors - microbiology
British Gas/Lurgi coal gasification wastewater
Carbon - metabolism
China
Coal
Fluorescence
Gas Chromatography-Mass Spectrometry
High-throughput sequencing
Microbial Consortia - genetics
Microbial Consortia - physiology
Nitrates - chemistry
Nitrates - metabolism
Nitrogen - metabolism
Phenols - chemistry
Phenols - metabolism
Pollutants removal
Waste Disposal, Fluid - instrumentation
Waste Disposal, Fluid - methods
Waste Water - chemistry
Water Pollutants, Chemical - chemistry
Water Pollutants, Chemical - isolation & purification
Water Pollutants, Chemical - metabolism
Title The pollutants removal and bacterial community dynamics relationship within a full-scale British Gas/Lurgi coal gasification wastewater treatment using a novel system
URI https://dx.doi.org/10.1016/j.biortech.2015.10.005
https://www.ncbi.nlm.nih.gov/pubmed/26476170
https://search.proquest.com/docview/1738482830
Volume 200
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