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评估用于测量全规模污水处理系统中 N2O 排放的在线监测策略。

Assessment of online monitoring strategies for measuring N2O emissions from full-scale wastewater treatment systems.

机构信息

UCIBIO, REQUIMTE, Departamento de Química, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Campus de Caparica, 2829-516 Caparica, Portugal; ICRA, Institut Català de Recerca de l'Aigua, Parc Científic i Tecnològic de la Universitat de Girona, 17003 Girona, Spain.

ICRA, Institut Català de Recerca de l'Aigua, Parc Científic i Tecnològic de la Universitat de Girona, 17003 Girona, Spain.

出版信息

Water Res. 2016 Aug 1;99:171-179. doi: 10.1016/j.watres.2016.04.052. Epub 2016 Apr 22.

Abstract

Clark-Type nitrous oxide (N2O) sensors are routinely used to measure dissolved N2O concentrations in wastewater treatment plants (WWTPs), but have never before been applied to assess gas-phase N2O emissions in full-scale WWTPs. In this study, a full-scale N2O gas sensor was tested and validated for online gas measurements, and assessed with respect to its linearity, temperature dependence, signal saturation and drift prior to full-scale application. The sensor was linear at the concentrations tested (0-422.3, 0-50 and 0-10 ppmv N2O) and had a linear response up to 2750 ppmv N2O. An exponential correlation between temperature and sensor signal was described and predicted using a double exponential equation while the drift did not have a significant influence on the signal. The N2O gas sensor was used for online N2O monitoring in a full-scale sequencing batch reactor (SBR) treating domestic wastewater and results were compared with those obtained by a commercial online gas analyser. Emissions were successfully described by the sensor, being even more accurate than the values given by the commercial analyser at N2O concentrations above 500 ppmv. Data from this gas N2O sensor was also used to validate two models to predict N2O emissions from dissolved N2O measurements, one based on oxygen transfer rate and the other based on superficial velocity of the gas bubble. Using the first model, predictions for N2O emissions agreed by 98.7% with the measured by the gas sensor, while 87.0% similarity was obtained with the second model. This is the first study showing a reliable estimation of gas emissions based on dissolved N2O online data in a full-scale wastewater treatment facility.

摘要

克拉克型一氧化二氮(N2O)传感器常用于测量废水处理厂(WWTP)中溶解的 N2O 浓度,但从未用于评估全规模 WWTP 中的气相 N2O 排放。在这项研究中,对一种全规模 N2O 气体传感器进行了测试和验证,用于在线气体测量,并在全规模应用之前评估了其线性度、温度依赖性、信号饱和和漂移。该传感器在所测试的浓度(0-422.3、0-50 和 0-10 ppmv N2O)下呈线性,并且在 2750 ppmv N2O 下具有线性响应。描述了温度和传感器信号之间的指数相关性,并使用双指数方程进行了预测,而漂移对信号没有显著影响。该 N2O 气体传感器用于在线监测全规模序批式反应器(SBR)中处理生活污水中的 N2O,结果与商业在线气体分析仪获得的结果进行了比较。该传感器成功地描述了排放情况,在 N2O 浓度高于 500 ppmv 时,甚至比商业分析仪给出的值更准确。该气体 N2O 传感器的数据还用于验证两种模型来预测溶解 N2O 测量中的 N2O 排放,一种基于氧转移率,另一种基于气泡的表面速度。使用第一个模型,N2O 排放的预测值与气体传感器测量值的一致性达到 98.7%,而使用第二个模型的一致性达到 87.0%。这是第一项研究,表明可以基于全规模废水处理设施中的溶解 N2O 在线数据可靠地估算气体排放。

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