【摘要】 文章通过构建人工湿地模拟系统，研究不同盐度条件下复合人工湿地对海水养殖废水的处理效果及其内部微生物群落结构变化。结果显示，随着盐度的升高，湿地系统对各污染物的去除效果先上升后下降，且在盐度25‰时去除效果最佳，TN、TP的去除率最高分别可达90.45%和99%,COD的去除率在此盐度下最高可达90.5%。高通量测序分析发现，随着盐度升高，微生物群落丰度显著降低。微生物群落组成分析表明，Proteobacteria的占比随着盐度的升高而减少，且Firmicutes逐渐成为优势菌门，在适当的盐胁迫下可以促进脱氮除磷相关微生物的生长。环境因子相关性分析表明，盐度与污染物浓度呈极显著正相关，与微生物群落的OTUs指数呈极显著负相关。微生物网络图分析表明盐度的提高会抑制微生物生态网络的复杂性和稳定性。该研究旨在通过探究人工湿地内部的微生物群落变化，为其在海水养殖废水处理中的应用提供参考。更多还原

【Abstract】 In this study, a bench scale artificial wetland system was set up, on which simulate seawater aquaculture wastewater was treated under varied salinity conditions, the treatment effectiveness and the changes of the internal microbial community structures in the wetland were investigated. As a result, the study presents that as salinity increases, the pollutant removal efficiency of the wetland system initially increases then decreases, while at a salinity of 25‰ the best removal effectiveness is obtained, with the removal rates of TN, TP, and COD reaching up to 90.45%, 99%, and 90.5%, respectively. The analysis of high-throughput sequencing found that as salinity increases, the microbial community abundance significantly decreases,and the proportion of proteobacteria decreases according to the analysis of community composition, with firmicutes gradually being the dominant phylum, which can promote the growth of denitrifying and phosphorus-removing microorganisms under appropriate salinity stress; the analysis of environmental factor correlation suggests that salinity is positively correlated with pollutants concentrations remarkably, and negatively correlated with the OTUs index of microbial communities significantly; and the analysis by microbial network diagram shows that an increase of salinity can suppress the complexity and stability of the microbial ecological network. In general, having explored the changes in the microbial community within artificial wetlands, this experimental study could provide a reference for the application to the treatment of seawater aquaculture wastewater.更多还原