文献类型：期刊文献

英文题名：In-situ remediation of acid mine drainage from abandoned coal mine by filed pilot-scale passive treatment system: Performance and response of microbial communities to low pH and elevated Fe

作者：Chen, Haiyan Xiao, Tangfu Ning, Zengping Li, Qian Xiao, Enzong Liu, Yizhang Xiao, Qingxiang Lan, Xiaolong Ma, Liang Lu, Fanghai

第一作者：Chen, Haiyan

通信作者：Xiao, Tangfu

机构：[1] State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081, China; [2] Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, School of Environmental Science and Engineering, Guangzhou University, Guangzhou, 510006, China; [3] University of Chinese Academy of Sciences, Beijing, 100049, China; [4] School of Tourism Management, Guizhou University of Commerce, Guiyang, 550014, China; [5] School of Chemistry and Environmental Engineering, Hanshan Normal University, Chaozhou, 521041, China; [6] School of Materials and Metallurgical Engineering, Guizhou Institute of Technology, Guiyang, 550003, China

第一机构：State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081, China

通信机构：Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, School of Environmental Science and Engineering, Guangzhou University, Guangzhou, 510006, China

年份：2020

卷号：317

外文期刊名：Bioresource Technology

收录：EI(收录号：20203309059958);Scopus(收录号：2-s2.0-85089362172)

语种：英文

外文关键词：Bioremediation - Bacteria - Biotechnology - Drainage - Abandoned mines - Iron compounds

摘要：A field pilot-scale passive treatment system was developed for in-situ bioremediation of acid mine drainage (AMD). The microbial community and its variation were analyzed. The data proved that 93.7% of total soluble Fe and 99% of soluble Fe(II) could be removed by the system. Principal coordinates analysis (PCoA) showed that a low pH and an elevated Fe concentration within the system created a unique microbial community that was dominated by acidophilic iron-oxidizing bacteria and iron-reducing bacteria. Canonical correlation analysis (CCA) indicated that the pH, iron content and total sulfur jointly determined the composition of the microbial communities. Species of Ferrovum, Delftia, Acinetobacter, Metallibacterium, Acidibacter and Acidiphilium were highly enriched, which promoted the removal of iron. Furthermore, the results revealed important data for the biogeochemical coupling of microbial communities and environmental parameters. These findings are beneficial for further application of in-situ field bioreactors to remediate AMD. ? 2020 Elsevier Ltd