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首页> 外文期刊>Environmental Science & Technology >Modeling of Nitrous Oxide Production by Autotrophic Ammonia-Oxidizing Bacteria with Multiple Production Pathways
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Modeling of Nitrous Oxide Production by Autotrophic Ammonia-Oxidizing Bacteria with Multiple Production Pathways

机译：具有多种生产途径的自养氨氧化细菌生产一氧化二氮的建模

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摘要

Autotrophic ammonia oxidizing bacteria (AOB) have been recognized as a major contributor to N_2O production in wastewater treatment systems. However, so far N_2O models have been proposed based on a single N_2O production pathway by AOB, and there is still a lack of effective approach for the integration of these models. In this work, an integrated mathematical model that considers multiple production pathways is developed to describe N_2O production by AOB. The pathways considered include the nitrifier denitrification pathway (N_2O as the final product of AOB denitrification with NO_2~- as the terminal electron acceptor) and the hydroxylamine (NH_2OH) pathway (N_2O as a byproduct of incomplete oxidation of NH_2OH to NO_2~-). In this model, the oxidation and reduction processes are modeled separately, with intracellular electron carriers introduced to link the two types of processes. The model is calibrated and validated using experimental data obtained with two independent nitrifying cultures. The model satisfactorily describes the N_2O data from both systems. The model also predicts shifts of the dominating pathway at various dissolved oxygen (DO) and nitrite levels, consistent with previous hypotheses. This unified model is expected to enhance our ability to predict N_2O production by AOB in wastewater treatment systems under varying operational conditions.
机译：自养氨氧化细菌（AOB）被认为是废水处理系统中N_2O产生的主要贡献者。但是，到目前为止，AOB已经基于单个N_2O生产路径提出了N_2O模型，但是仍然缺乏有效的方法来集成这些模型。在这项工作中，开发了一种综合的数学模型，该模型考虑了多种生产途径，以描述AOB生产的N_2O。所考虑的途径包括硝化器反硝化途径（N_2O是AOB脱氮的最终产物，NO_2〜-作为末端电子受体）和羟胺（NH_2OH）途径（N_2O是NH_2OH不完全氧化为NO_2〜-的副产物）。在该模型中，分别对氧化和还原过程进行建模，并引入细胞内电子载体以链接两种类型的过程。使用两个独立的硝化培养物获得的实验数据对模型进行校准和验证。该模型令人满意地描述了两个系统的N_2O数据。该模型还预测了在各种溶解氧（DO）和亚硝酸盐水平下主导途径的变化，与先前的假设一致。预期该统一模型将增强我们预测AOB在不同操作条件下废水处理系统中N_2O产生的能力。

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  • 来源
    《Environmental Science & Technology》 |2014年第7期|3916-3924|共9页
  • 作者

    Bing-Jie Ni; Lai Peng; Yingyu Law; Jianhua Guo; Zhiguo Yuan;

  • 作者单位

    Advanced Water Management Centre, The University of Queensland, St. Lucia, Brisbane, Queensland 4072, Australia;

    Advanced Water Management Centre, The University of Queensland, St. Lucia, Brisbane, Queensland 4072, Australia;

    Advanced Water Management Centre, The University of Queensland, St. Lucia, Brisbane, Queensland 4072, Australia;

    Advanced Water Management Centre, The University of Queensland, St. Lucia, Brisbane, Queensland 4072, Australia;

    Advanced Water Management Centre, The University of Queensland, St. Lucia, Brisbane, Queensland 4072, Australia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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  • 正文语种 eng
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