一个全面的花模型,用于模拟同时的化,脱化和去除
Xuanye Bai1, Ferenc Hazi2, Imre Takacs2
1Department of Civil and Environmental Engineering, University of Waterloo, 200 University Avenue West, Waterloo, Ontario N2L 3G1, Canada; Water Digital Solutions, Hatch Ltd, 2800 Speakman Dr, Mississauga, Ontario L5K 2R7, Canada.
The Science of the total environment
|March 28, 2024
概括
一个新的花模型准确地模拟了同时的化,脱化和去除 (SNDPR). 它强调了多酸盐积聚生物 (PAO) 和低溶氧 (DO) 是如何在废水处理中有效去除营养的关键.
科学领域:
- 环境微生物学环境微生物学
- 生物化学工程是生物化学工程.
- 水处理技术水处理技术.
背景情况:
- 同时的化,脱化和去除 (SNDPR) 过程对于先进的废水处理至关重要.
- 了解微生物动力学和群体内的质量转移对于优化SNDPR至关重要.
- 现有的模型往往缺乏足够的复杂性来充分捕捉各种微生物群体的相互作用和营养物质的转化.
研究的目的:
- 开发和验证SNDPR的综合流动模型.
- 研究聚酸盐积聚生物 (PAO) 和糖积聚生物 (GAO) 在这个过程中的作用.
- 阐明溶解氧 (DO) 水平和微生物分层对营养去除效率的影响.
主要方法:
- 开发一个包含PAO,GAO,内在半和系数和明确的外部质量转移项的模型.
- 在各种操作条件下使用实验数据对模型进行校准.
- 模拟微生物行为和营养动态在不同的DO度和影响负载下.
主要成果:
- 该模型准确地描述了实验数据,估计了关键细菌的氧气半和系数.
- 低DO环境被证明有利于化细菌和PAO.
- 在无氧阶段,PAO吸收了挥发性脂肪酸,并通过有氧生长和脱过程对 (997%) 和 (171%) 的去除有显著的贡献.
- 由PAO和普通异构生物 (OHO) 通过酸盐同时进行化和脱,消除了23.1%的Kjeldahl总气,减少了氧气和碳的需求.
- 在花内观察到明显的微生物和DO分层,DO和OHO减少,PAO向花核心增加.
结论:
- 开发的流量模型为研究SNDPR机制提供了一个强大的工具.
- 该模型证实了PAO和低DO在实现有效的营养物质去除方面发挥的关键作用.
- 结果支持使用该模型用于SNDPR系统的科学研究和实际设计.
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