Influence of sampling strategies on the estimated nitrous oxide emission from wastewater treatment plants

被引：71
|
作者：
Daelman, Matthijs R. J. [1 ,2 ]
De Baets, Bernard [3 ]
van Loosdrecht, Mark C. M. [2 ,4 ]
Volcke, Eveline I. P. [1 ]
机构：
[1] Univ Ghent, Dept Biosyst Engn, B-9000 Ghent, Belgium
[2] Delft Univ Technol, Dept Biotechnol, NL-2628 BC Delft, Netherlands
[3] Univ Ghent, Dept Math Modelling Stat & Bioinformat, B-9000 Ghent, Belgium
[4] KWR Watercycle Res Inst, NL-3433 PE Nieuwegein, Netherlands
来源：
WATER RESEARCH | 2013年 / 47卷 / 09期
关键词：
Greenhouse gas; Monitoring; Nitrous oxide; Sampling strategy; Wastewater treatment; ACTIVATED-SLUDGE; REMOVAL; N2O; GENERATION;
D O I：
10.1016/j.watres.2013.03.016
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
In the last few years, the emission of nitrous oxide from wastewater treatment plants has become a topic of increased interest, given its considerable impact on the overall climate footprint of wastewater treatment plants. Various sampling strategies to estimate nitrous oxide emission from wastewater treatment plants have been applied in different studies. The present study addresses the influence of sampling strategies on the estimated emission by analysing the variability of an extensive dataset of nitrous oxide emissions resulting from a long-term online monitoring campaign at a full-scale municipal wastewater treatment plant. It is shown that short-term sampling is inadequate to accurately estimate the average nitrous oxide emissions from a particular wastewater treatment plant, while online monitoring is indispensable to capture the short-term variability (diurnal dynamics). (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码：3120 / 3130
页数：11
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