State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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.
Bioresour Technol. 2020 Dec;317:123985. doi: 10.1016/j.biortech.2020.123985. Epub 2020 Aug 8.
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.
开发了一种现场中试规模的被动处理系统,用于原位修复酸性矿山排水(AMD)。分析了微生物群落及其变化。数据证明,该系统可去除 93.7%的总可溶性铁和 99%的可溶性 Fe(II)。主坐标分析(PCoA)表明,系统内的低 pH 值和高铁浓度创造了一个独特的微生物群落,主要由嗜酸铁氧化菌和铁还原菌组成。典型相关分析(CCA)表明,pH 值、铁含量和总硫共同决定了微生物群落的组成。Ferrovum、Delftia、Acinetobacter、Metallibacterium、Acidibacter 和 Acidiphilium 等物种高度富集,促进了铁的去除。此外,研究结果还揭示了微生物群落与环境参数生物地球化学耦合的重要数据。这些发现有助于进一步将原位现场生物反应器应用于 AMD 的修复。