研究报告

  • 于晓龙,张明,郑宇雷,文湘华,周成.好氧-厌氧污泥耦合白腐真菌单元对焦化废水的处理[J].环境科学学报,2016,36(4):1273-1278

  • 好氧-厌氧污泥耦合白腐真菌单元对焦化废水的处理
  • Combining aerobic-anaerobic activated sludge with white-rot fungi to treat coking wastewater
  • 基金项目:云南省自然科学基金(No.2010ZC023);国家自然科学基金项目(No.20677033)
  • 作者
  • 单位
  • 于晓龙
  • 昆明理工大学环境科学与工程学院, 昆明 650500
  • 张明
  • 昆明理工大学环境科学与工程学院, 昆明 650500
  • 郑宇雷
  • 昆明理工大学环境科学与工程学院, 昆明 650500
  • 文湘华
  • 清华大学环境科学与工程系, 环境模拟与污染控制国家重点实验室, 北京 100084
  • 周成
  • 昆明理工大学环境科学与工程学院, 昆明 650500
  • 摘要:白腐真菌因能分泌胞外木质素降解酶降解难降解有机污染物,而在难降解有机废水处理中具有巨大应用潜力.其研究常采用白腐真菌直接处理废水,很少关注常规生物法耦合白腐真菌的处理方式.基于此,分别采用白腐真菌和好氧-厌氧污泥耦合Phanerochaete Chrysosporium处理焦化废水以考察后者的可行性.在好氧-厌氧污泥耦合P. chrysosporium的处理中,仅采用3d的处理时间,好氧-厌氧污泥可将6097mg·L-1的COD和351mg·L-1的氨氮分别降至1634~1684mg·L-1和102~117mg·L-1;进而固定化P. chrysosporium将COD和氨氮再次分别降至1322~1372mg·L-1和16~62mg·L-1.最终COD和氨氮的去除率分别达77%~78%和82%~95%,这表明:好氧-厌氧污泥耦合P. chrysosporium处理焦化废水可在更短的处理周期完成比直接采用白腐真菌处理更好的处理效果,此思路合理可行.
  • Abstract:White-rot fungi can secrete extracellular lignin-degrading enzymes to degrade a wide variety of recalcitrant organic compounds and then have potential application in treating wastewater containing those compounds. The degradation of coking wastewater by using white-rot fungi directly and combining aerobic-anaerobic activated sludge with P. chrysosporium, were investigated. The results show that, within 3 d of hydraulic residence time, COD decreased from 6097 mg·L-1 to 1634~1684 mg·L-1, while ammonia nitrogen was decreased from 351 mg·L-1 to 102~117 mg·L-1 by aerobic-anaerobic activated sludge treatment process. By adding the immobilized P. chrysosporium, COD and ammonia nitrogen could be further reduced to 1322~1372 mg·L-1and 16~62 mg·L-1, respectively. The removal efficiencies of COD and ammonia nitrogen were 77%~78% and 82%~95% respectively, which are higher than those of the treatment by using white-rot fungi directly. It can be concluded that combining aerobic-anaerobic activated sludge with P. chrysosporium is more reasonable and feasible for the treatment of coking wastewater in a shorter treatment cycle.

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