Department of Water and Wastewater Engineering, School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China.
Key Laboratory of Water and Sediment Sciences of Ministry of Education, State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China.
Bioresour Technol. 2024 Oct;409:131215. doi: 10.1016/j.biortech.2024.131215. Epub 2024 Aug 3.
This study investigated the performance of microalgal-bacterial granular sludge (MBGS) in the restoration of Qingling Lake and Huangjia Lake, focusing on nitrogen removal under varying water quality conditions. Significant color changes in MBGS and differences in granule characteristics were observed, with Qingling Lake demonstrating superior removal efficiencies for ammonia nitrogen, nitrate nitrogen, and total nitrogen compared to Huangjia Lake. Stoichiometric analysis revealed that when the chemical oxygen demand (COD) and carbon-to-nitrogen (C/N) ratios were less than 20 mg/L and 20, respectively, assimilatory nitrate reduction was positively correlated with both, whereas denitrification was negatively correlated. Gene function analysis showed that Qingling Lake had a more active microbial community supporting efficient nitrogen metabolism. The findings highlighted the enormous potential of MBGS in lake restoration, demonstrating its ability to adapt to different COD concentrations and C/N ratios by altering its nitrogen removal pathways.
本研究以微藻-细菌颗粒污泥（MBGS）为研究对象，探讨其在青菱湖和黄家湖水体修复中的性能，重点关注不同水质条件下的脱氮效果。研究发现，MBGS 发生了明显的颜色变化，颗粒特征也存在差异，与黄家湖相比，青菱湖对氨氮、硝氮和总氮的去除效率更高。基于化学计量分析，当化学需氧量（COD）和碳氮比（C/N）分别低于 20 mg/L 和 20 时，同化硝酸盐还原与 COD 和 C/N 呈正相关，而反硝化作用则与二者呈负相关。基因功能分析表明，青菱湖具有更活跃的微生物群落，有利于高效的氮代谢。研究结果表明，MBGS 在湖泊修复中具有巨大的潜力，它可以通过改变脱氮途径来适应不同的 COD 浓度和 C/N 比值。
