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酸性矿山废水与选矿废水协同生化处理研究 被引量:7

The Co-Treatment of Acid Mine Drainage and Mineral Processing Wastewater by Biological Remediation
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摘要 通过批式实验和连续流实验对酸性矿山废水(AMD)与选矿废水(MPW)的协同生化处理效果进行了研究。AMD和MPW按照1:2进行混合后,废水中Cu、Fe、Zn以及Mn的浓度分别降低了78.55%、82.91%、63.42%和71.66%(与AMD相比)。批式实验结果表明,硫酸盐还原菌(SRB)能够利用MPW中的溶解有机碳进行自身代谢。当进水pH=5.00,停留时间(HRT)为18 h时,硫酸盐还原率达到46.10%,Cu、Zn和Fe的去除率达到99.46%、99.68%和96.40%。连续流实验中,随着进水重金属浓度的升高,生物修复效果有所下降。微生物群落分析表明,随着进水重金属浓度的升高,反应器内微生物的丰富度降低。AMD与MPW共处理反应器中,共存的发酵细菌与SRB表现出协同作用,且发酵细菌对水质的波动更为敏感。 Batch and continuous-flow experiments were conducted to exam the efficiency of bioremediation for the co-treatment of acid mine drainage(AMD)and mineral processing wastewater(MPW).Previous to feeding into the bioreactor,the reduced concentration of Cu,Fe,Zn and Mn reached78.55%,82.91%,63.42%and 71.66%as the AMD and MPW were mixed at the ratio of 1:2.Batch experiments revealed that the organic carbon in MPW could sustain the bioactivity of sulfate reducing bacteria(SRB).When the pH of influent and hydraulic retention time(HRT)were 5.00 and 18 h,the sulfate removal reached 46.10%,whereas the removal of Cu,Zn and Fe reached 99.46%,99.68%and 96.40%.In continuous-flow reactor,the concentration of heavy metals in influent had a negative influence on the performance of bioremediation.Microbial community analysis of the sludge showed the bioreactor contained less bacterial richness and evenness at higher heavy metal concentration in influent.The co-treatment system of AMD and MPW showed the synergism between the SRB and fermentative bacteria.The fermentative bacteria are more sensitive to the fluctuation of influent water qualities.
作者 张杰 龙琦 李彦成 刘彦禧 黄瑞敏 ZHANG Jie;LONG Qi;LI Yancheng;LIU Yanxi;HUANG Ruimin(College of Environment and Energy,South China University of Technology,Guangzhou 510006,China)
出处 《水处理技术》 CAS CSCD 北大核心 2020年第7期94-98,102,共6页 Technology of Water Treatment
基金 广东省重点领域研发计划项目(2019B110207001)。
关键词 酸性矿山废水(AMD) 选矿废水(MPW) 生物修复 硫酸盐还原菌(SRB) 微生物群落分析 Acid mine drainage(AMD) Mineral processing wastewater(MPW) Bioremediation Sulfate reducing bacteria(SRB) Bacterial community analysis
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