In order to investigate the composition and diversity of groundwater bacterial communities in typical industrial areas in Shanghai, the Illumina MiSeq high-throughput technology was adopted to explore the correlation and response mechanism of groundwater bacterial communities and environmental factors in typical industries, combined with the analysis of groundwater tri-nitrogen, heavy metals, organic matter, and other indicators. The results showed that the ammonia nitrogen in the groundwater of the petrochemical industry was 64.49%, 32.46%, and 113.91% higher than that of the textile industry, metal products industry, and other industries (P<0.05), respectively. The main detectable indicators of organic matter were total petroleum hydrocarbons (TPH) and volatile phenol. The mass concentration of volatile phenol in groundwater of the petrochemical industry was significantly higher than that of the textile industry, metal products industry, and other industries (P<0.05). The mass concentration of arsenic in the metal products industry was 49.26% and 50.59% higher than that in the petrochemical industry and other industries (P<0.05), respectively. Chloride, manganese, sulfate, etc., were significantly different in different industries (P<0.05). The Shannon index of groundwater in the textile industry was the highest at 3.14, whereas the Shannon index and Ace index of the groundwater in the metal products industry were as low as at 2.42 and 960.46, respectively. The dominant bacterial phylum in groundwater in the industrial area was Proteobacteria, accounting for 80.05%-86.18%. Arsenic, mercury, TPH, etc. were the main influencing factors in groundwater in industrial areas, whereas the nitrifying bacteria, denitrifying bacteria, and organic matter-degrading bacteria were mostly related to groundwater environmental factors. The results of this study can provide theoretical support for groundwater pollution risk management and microbial remediation in petrochemical and metal product industrial areas.
Keywords: bacterial community; environmental factors; high-throughput sequencing; industrial area; shallow groundwater.