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整合甲氧化与anammox以增强去除:性能,机制和机器学习分析

Xueqin Lu¹, Mengting Xia², Yingxiang Tang²

¹School of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200241, PR China; Chongqing Institute of East China Normal University, Chongqing, 401120, PR China; Shanghai Engineering Research Center of Biotransformation of Organic Solid Waste, Shanghai, 200241, PR China.

Journal of environmental management

|October 25, 2025

概括

甲通过促进废水处理中的脱细菌和无氧氨氧化细菌来增强的去除. 这种综合系统实现了93%的总去除,提供了一个新的生物修复策略.

科学领域:

环境微生物学环境微生物学
生物技术是生物技术.
废水处理废水处理

背景情况:

无氧氨氧化 (anammox) 对于去除是有效的,但受到酸盐积累的限制.
甲 (CH4) 可能会增强去除过程.
将脱和anammox集成为高效的管理提供了一个有希望的方法.

研究的目的:

开发和评估一种以甲为驱动的系统,将脱和anammox集成在一起,以加强去除.
研究甲对微生物群落结构和去除功能的影响.
确定影响开发系统中去除效率的关键因素.

主要方法:

长期运行甲上游无氧污泥毯 (UASB) 反应堆.
监测去除效率,液压保留时间 (HRT) 和流入度.
使用分子技术和随机森林建模分析微生物社区组成.

主要成果:

在6小时的HRT和450毫克N L-1影响下达到93%的总去除效率.
甲刺激了脱细菌 (如 Pseudomonas) 和无氧氨氧化细菌 (AnAOB) 的生长,从0.5%增加到18.6%.
确定了ANAOB活动,废水NH4+和NO3-作为影响清除效率的关键因素.

结论:

甲驱动的脱加上anammox显著提高了废水中去除效率.
这种方法可以促进有益的微生物生长,而不需要无氧甲类古生物或DAMO细菌.
该研究提出了一种用于生物修复中的甲利用的新策略,以有效管理气.

关键词:

亚纳姆莫克斯 (Anammox) 是一个脱化甲氧化过程中的甲.机器学习机器学习移除的方法移除的方法

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