利用初级污水和甘油驱动部分反硝化厌氧氨氧化在中试三级进料移动床生物膜反应器中处理高速率活性污泥系统出水

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Yewei Sun , Mojtaba Farrokh Shad , Bruce Mansell , Michael Liu , Patricia Hsia , Ariana Coracero , Raymond Tsai , Bryce Danker , Yian Sun , Zhangtong Liao , Zhi-Wu Wang , Wendell O. Khunjar , Paul Pitt , Ron Latimer
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引用次数: 0

摘要

本研究探讨了利用一次出水(PE)碳作为内部碳源驱动三级部分反硝化-厌氧氨氧化(PdNA)处理高速率活性污泥(HRAS)系统出水的可能性,以抵消甘油等外部碳的消耗。该中试研究在三级阶梯进料移动床生物膜反应器(MBBR)中进行了478天,使用全尺寸HRAS二级出水作为进水。与大多数PdNA应用依赖于昂贵的补充碳(如甲醇或甘油)不同,本研究首次证明PE碳可以作为废水中天然可用的碳源来驱动PdNA。通过利用这种自由的内部碳源来驱动PdNA, PE碳消耗节省63%至74%,甘油消耗抵消约36%。此外,甘油驱动的PdNA进一步降低了70%和18%的补充碳和曝气能量需求。原位和非原位批量测试的机理分析表明,厌氧氨氧化驱动的亚硝酸盐汇促进了pe驱动的PdNA,这是一种新的观察结果,可以在没有亚硝酸盐积累的情况下实现稳定的PdNA性能。此外,批量试验表明内源性呼吸可以支持PdNA。这些发现突出了pe驱动的PdNA在全规模设施中的应用潜力,因为PdNA不再依赖于昂贵的外部加碳,因此开启了厌氧氨氧化在废水处理中的主流应用的新时代。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Leveraging primary effluent- and glycerol-driven partial denitrification-anammox within a pilot-scale tertiary step-feed moving bed biofilm reactor treating high-rate activated sludge systems effluent

Leveraging primary effluent- and glycerol-driven partial denitrification-anammox within a pilot-scale tertiary step-feed moving bed biofilm reactor treating high-rate activated sludge systems effluent

Leveraging primary effluent- and glycerol-driven partial denitrification-anammox within a pilot-scale tertiary step-feed moving bed biofilm reactor treating high-rate activated sludge systems effluent
This study investigated the possibility of utilizing primary effluent (PE) carbon as an internal carbon source to drive tertiary partial denitrification-anammox (PdNA) for treating high-rate activated sludge (HRAS) system effluent, so as to offset the consumption of external carbon such as glycerol. This pilot study was conducted in a tertiary step-feed moving bed biofilm reactor (MBBR) over 478 days, using full-scale HRAS secondary effluent as the influent. Unlike most PdNA applications that rely on the expensive supplemental carbon like methanol or glycerol, this study is the first to demonstrate that PE carbon can be utilized as a naturally available carbon source within wastewater to drive PdNA. By taking advantage of this free internal carbon source to driven PdNA, 63% to 74% savings in PE carbon consumption and ∼36% offset in glycerol consumption were achieved. Additionally, glycerol-driven PdNA further reduced both supplemental carbon and aeration energy demands by 70% and 18%. Mechanistic insights from in-situ and ex-situ batch tests revealed that the PE-driven PdNA was facilitated by an anammox-driven nitrite sink, a novel observation that allowed stable PdNA performance without nitrite accumulation. Furthermore, batch tests indicated that endogenous respiration could support PdNA. These findings highlight the potential of applying PE-driven PdNA in full-scale facilities, ushering in a new era of mainstream anammox applications in wastewater treatment, as PdNA is no longer reliant on costly external carbon addition.
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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