当前位置：
X-MOL 学术
›
Water Res.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
A novel metabolic-ASM model for full-scale biological nutrient removal systems.
Water Research ( IF 11.4 ) Pub Date : 2019-12-08 , DOI: 10.1016/j.watres.2019.115373 Jorge M M Santos 1 , Leiv Rieger 2 , Ana B Lanham 1 , Mónica Carvalheira 1 , Maria A M Reis 1 , Adrian Oehmen 1
Water Research ( IF 11.4 ) Pub Date : 2019-12-08 , DOI: 10.1016/j.watres.2019.115373 Jorge M M Santos 1 , Leiv Rieger 2 , Ana B Lanham 1 , Mónica Carvalheira 1 , Maria A M Reis 1 , Adrian Oehmen 1
Affiliation
|
This study demonstrates that META-ASM, a new integrated metabolic activated sludge model, provides an overall platform to describe the activity of the key organisms and processes relevant to biological nutrient removal (BNR) systems with a robust single-set of default parameters. This model overcomes various shortcomings of existing enhanced biological phosphorous removal (EBPR) models studied over the last twenty years. The model has been tested against 34 data sets from enriched lab polyphosphate accumulating organism (PAO)-glycogen accumulating organism (GAO) cultures and experiments with full-scale sludge from five water resource recovery facilities (WRRFs) with two different process configurations: three stage Phoredox (A2/O) and adapted Biodenitro™ combined with a return sludge sidestream hydrolysis tank (RSS). Special attention is given to the operational conditions affecting the competition between PAOs and GAOs, capability of PAOs and GAOs to denitrify, metabolic shifts as a function of storage polymer concentrations, as well as the role of these polymers in endogenous processes and fermentation. The overall good correlations obtained between the predicted versus measured EBPR profiles from different data sets support that this new model, which is based on in-depth understanding of EBPR, reduces calibration efforts. On the other hand, the performance comparison between META-ASM and literature models demonstrates that existing literature models require extensive parameter changes and have limited predictive power, especially in the prediction of long-term EBPR performance. The development of such a model able to describe in detail the microbial and chemical transformations of BNR systems with minimal adjustment to parameters suggests that the META-ASM model is a powerful tool to predict and mitigate EBPR upsets, optimise EBPR performance and to evaluate new process designs.
中文翻译：
用于大规模生物营养去除系统的新型代谢ASM模型。
这项研究表明，META-ASM是一种新的集成的代谢活化污泥模型，它提供了一个完整的平台，可使用一组可靠的默认参数来描述与生物营养去除（BNR）系统相关的关键生物的活动和过程。该模型克服了过去二十年来研究的现有增强生物除磷（EBPR）模型的各种缺点。该模型已针对来自富集实验室多磷酸盐累积生物（PAO）-糖原累积生物（GAO）培养物的34个数据集进行了测试，并利用来自五个水资源回收设施（WRRF）的全尺寸污泥进行了实验，并采用两种不同的工艺配置：三阶段Phoredox（A2 / O）和经过改造的Biodenitro™与回流污泥侧流水解罐（RSS）相结合。特别注意影响PAO和GAO之间竞争的操作条件，PAO和GAO进行反硝化的能力，作为储存聚合物浓度的函数的代谢变化，以及这些聚合物在内源性过程和发酵中的作用。从不同数据集获得的预测和测量的EBPR曲线之间获得的总体良好相关性支持这种基于对EBPR的深入了解的新模型减少了校准工作。另一方面，META-ASM与文献模型之间的性能比较表明，现有文献模型需要大量的参数更改并且具有有限的预测能力，尤其是在长期EBPR性能的预测中。
更新日期：2019-12-09
中文翻译：
用于大规模生物营养去除系统的新型代谢ASM模型。
这项研究表明，META-ASM是一种新的集成的代谢活化污泥模型，它提供了一个完整的平台，可使用一组可靠的默认参数来描述与生物营养去除（BNR）系统相关的关键生物的活动和过程。该模型克服了过去二十年来研究的现有增强生物除磷（EBPR）模型的各种缺点。该模型已针对来自富集实验室多磷酸盐累积生物（PAO）-糖原累积生物（GAO）培养物的34个数据集进行了测试，并利用来自五个水资源回收设施（WRRF）的全尺寸污泥进行了实验，并采用两种不同的工艺配置：三阶段Phoredox（A2 / O）和经过改造的Biodenitro™与回流污泥侧流水解罐（RSS）相结合。特别注意影响PAO和GAO之间竞争的操作条件，PAO和GAO进行反硝化的能力，作为储存聚合物浓度的函数的代谢变化，以及这些聚合物在内源性过程和发酵中的作用。从不同数据集获得的预测和测量的EBPR曲线之间获得的总体良好相关性支持这种基于对EBPR的深入了解的新模型减少了校准工作。另一方面，META-ASM与文献模型之间的性能比较表明，现有文献模型需要大量的参数更改并且具有有限的预测能力，尤其是在长期EBPR性能的预测中。
京公网安备 11010802027423号