Zhong Li-Yan, Hao Rui-Xia, Wang Wei-Dong, Wan Jing-Jing, Zhu Xiao-Xia
Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, College of Architectural Engineering, Beijing University of Technology, Beijing 100124, China.
Huizhou City Huayu Water Resources and Hydropower Engineering Survey and Design Co., Ltd., Huizhou 516003, China.
Huan Jing Ke Xue. 2018 Jan 8;39(1):247-255. doi: 10.13227/j.hjkx.201706070.
To improve the quality of the tailings water from a wastewater treatment plant (WWTP), a denitrification biofilter (DNBF) with a composite filler composed of a new slow-release organic-carbon source (SOC-F), sponge iron, and activated carbon was tested. Studies were conducted in the combined process of DNBF-O-GAC to explore the efficiency of the advanced removal of nitrogen, phosphorus, and microbial metabolite by using synthetic effluent made from running water and chemicals. Corresponding comparative studies were conducted by using the secondary effluent from the WWTP. The microbial population structure in the biofilm of the denitrification biofilter was analyzed by adopting MiSeq high-throughput sequencing technologies. The results indicated that the combination process achieved high efficiency removal of nitrogen, phosphorus, and microbial metabolite. The average removal rate of NO-N in the simulated and actual water period reached 88.87% and 79.99%, respectively; the average removal rate of TP reached 87.67% and 65.51%, respectively; and the average removal rate of UV reached 45.51% and 49.23%, respectively. Each processing unit had different functions. The changes in NO-N, TN, TP, and TFe mainly occurred in the denitrification biofilter, and the removal of UV and the change in the three-dimensional fluorescence intensity mainly occurred in the ozone-activated carbon reactor. The cluster analysis at the genus level indicated that the denitrification system had sulfur autotrophic denitrifying bacteria and heterotrophic denitrifying bacteria. Sulfur autotrophic denitrification increased obviously in the actual water period when relatively lack of carbon sources, and the proportion of increased from 7.44% to 29.62%. The complementary effect of sulfur autotrophic denitrification and heterotrophic denitrification had extended the use of the new slow-release carbon source.
为提高某污水处理厂尾水水质，对一种由新型缓释有机碳源（SOC-F）、海绵铁和活性炭组成复合填料的反硝化生物滤池（DNBF）进行了测试。开展了DNBF-O-GAC联合工艺研究，以探索利用自来水和化学药剂配制的合成废水深度去除氮、磷及微生物代谢产物的效率。同时采用该污水处理厂的二级出水进行了相应对比研究。采用MiSeq高通量测序技术分析了反硝化生物滤池生物膜中的微生物种群结构。结果表明，联合工艺对氮、磷及微生物代谢产物具有高效去除效果。模拟水期和实际水期NO-N的平均去除率分别达到88.87%和79.99%；TP的平均去除率分别达到87.67%和65.51%；UV的平均去除率分别达到45.51%和49.23%。各处理单元功能不同。NO-N、TN、TP和TFe的变化主要发生在反硝化生物滤池中，UV的去除及三维荧光强度的变化主要发生在臭氧-活性炭反应器中。属水平聚类分析表明，反硝化系统存在硫自养反硝化菌和异养反硝化菌。在实际水期碳源相对缺乏时，硫自养反硝化作用明显增强，其比例从7.44%增至29.62%。硫自养反硝化与异养反硝化协同作用，延长了新型缓释碳源的利用时间。
