Characterizing bacterial communities is of great significance for targeted control of bacteria-induced clogging during geothermal water recharge. Based on a series of laboratory-scale percolation experiments, the variations in bacterial community diversity, composition, and structure were investigated during simulated geothermal water recharge using high-throughput sequencing technology. The Chao, Shannon, and Evenness indexes were used to quantify the richness, diversity, and evenness of the bacterial community, respectively. The results show that the richness of the bacterial community initially increased and then decreased in the sand columns during the experiments of geothermal water recharge, while the changes in bacterial diversity and evenness were not apparent. A variety of bacterial phyla were found, among which Proteobacteria was predominant (88.31%), followed by Actinobacteria, Bacteroidetes, and Firmicutes (4.23%, 3.44%, and 2.49%). For the non-Proteobacterial phyla, Actinobacteria gradually disappeared while Bacteroidetes and Firmicutes were detected during the percolation experiments. This study implies that, despite the variations in the bacterial community, a core group of bacteria persists during geothermal water recharge, and thus a targeted control of bacteria-induced clogging during geothermal water recharge should be feasible.
Keywords: Sandstone reservoir; geothermal plant; high-throughput sequencing; saturated hydraulic conductivity.