The pollutants removal and bacterial community dynamics relationship within a full-scale British Gas/Lurgi coal gasification wastewater treatment using a novel system. (January 2016)

• Record Type: Journal Article
• Authors: Jia, Shengyong; Han, Hongjun; Zhuang, Haifeng; Hou, Baolin
• Is Part Of: Bioresource technology. Volume 200(2016)
• Page Start: 103
• Page End: 110
• Publication Date: 2016-01
• Subjects: British Gas/Lurgi coal gasification wastewater -- Biological treatment -- High-throughput sequencing -- Bacterial community dynamics -- Pollutants removal; Biomass -- Periodicals; Biomass energy -- Periodicals; Bioremediation -- Periodicals; Agricultural wastes -- Periodicals; Factory and trade waste -- Periodicals; Organic wastes -- Periodicals; Bioénergie -- Périodiques; Déchets agricoles -- Périodiques; Déchets industriels -- Périodiques; Déchets organiques -- Périodiques; Déchets (Combustible) -- Périodiques; 662.88
• DOI: 10.1016/j.biortech.2015.10.005
• Languages: English
• ISSNs: 0960-8524

Abstract

Highlights: 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. Abstract: 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, 106 mg/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.