优化低C/N污水处理系统的运行参数和微生物机制,该污水处理系统以铁依赖的自性脱为主
Lei Zheng1, Haoming Wu1, Aizhong Ding2
1College of Water Sciences, Beijing Normal University, Beijing, 100875, China.
Environmental research
|February 5, 2024
概括
铁通过优化Fe/N和TOC等关键参数来增强低碳废水中的自性脱. 这项研究确定了提高效率和微生物功能的最佳范围.
科学领域:
- 环境科学 环境科学
- 微生物学 微生物学
- 水处理工程水处理工程
背景情况:
- 铁 (Fe2+) 可以降低低C/N废水中脱的外部碳要求.
- 了解操作参数和微生物机制对于增强依赖铁的自无化 (FDAD) 是至关重要的.
研究的目的:
- 调查关键参数 (Fe/N,TOC,IC/N,SV) 对FDAD效率的影响.
- 在不同的FDAD条件下探索微生物社区结构和功能.
主要方法:
- 使用响应表面方法 (RSM) 来分析参数效应.
- 高通量测序用于功能预测和微生物群落的分子生态网络分析.
主要成果:
- Fe/N比率和TOC被确定为影响FDAD效率的主要因素.
- 最佳条件改善了脱,但可能会降低关键微生物生物标志物的重要性.
- 高Fe/N比率 (>4) 导致了显著的效率波动,并减少了脱和铁运输基因的丰富性.
结论:
- 优化参数范围 (Fe/N: 3.5-4; TOC/N: 0.36-0.42; IC/N: 3.5-4; SV: ~35%) 是一个高效的FDAD建议.
- 平衡电子捐赠者和微生物群体的稳定性是有效的低C/N废水处理的关键.
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