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Comparative assessment of modeling and experimental data of ammonia removal from pre-digested chicken manure.
Journal of Environmental Science and Health, Part A ( IF 2.1 ) Pub Date : 2020-07-20 , DOI: 10.1080/10934529.2020.1794206
Goksen Pekyavas 1 , R Kaan Dereli 1, 2 , Cigdem Yangin-Gomec 1
Affiliation  

Abstract

The aim of this study was to interpret the development of Anammox activity by a mathematical model in an UASB reactor -originally inoculated with methanogenic granules- at which Anammox progress has been also experimentally observed while treating chicken manure digestate. Since ammonium is derived from anaerobic degradation of nitrogenous compounds in chicken manure similar to any other nitrogen-rich organic wastes; the reactor was operated intentionally at favorable conditions [i.e.; with external nitrite source for NH4 +:NO2 -≅1.0] in order to make Anammox process to prevail as operation continued. Results indicated significant ammonia removals (60% on average) although influent concentration was gradually increased up to 200 mg L-1. A modeling exercise has been undertaken to investigate the performance of the laboratory scale UASB reactor. In this scope, the experimental results were modeled by using Mantis2 model within GPS-X 6.5 simulation software that included several built in libraries. Accordingly, effluent chemical oxygen demand (COD) and total ammonia nitrogen (TAN) concentrations could be predicted with reasonably good accuracy demonstrating successful calibration. The regression coefficient (R2 ) and mean relative absolute error (MRAE) parameters were found as 0.66 and 16% and 0.70 and 19%, respectively.



中文翻译:

从预先消化的鸡粪中去除氨气的模型和实验数据的比较评估。

摘要

这项研究的目的是通过一个UASB反应器(最初接种产甲烷颗粒)中的数学模型来解释Anammox活性的发展,在该反应器中,在处理鸡粪消化物时,还通过实验观察到了Anammox的进展。由于铵来自鸡粪中含氮化合物的厌氧降解,这与任何其他富氮有机废物相似;反应器在有利的条件下有意运行[即;(使用外部亚硝酸盐源提供NH 4 +:NO 2 - ≅1.0),以确保随着操作的继续进行Anammox工艺。结果表明,尽管进水浓度逐渐增加到200 mg L- 1,氨的去除量仍然很高(平均60%)。。已经进行了建模练习以研究实验室规模的UASB反应器的性能。在此范围内,通过使用GPS-X 6.5仿真软件(包含多个内置库)中的Mantis2模型对实验结果进行建模。因此,可以合理合理地预测废水化学需氧量(COD)和总氨氮(TAN)的浓度,这表明校准成功。回归系数(R 2 )和平均相对绝对误差(MRAE)参数分别为0.66和16%,0.70和19%。

更新日期:2020-07-20
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