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PANDORA database: A compilation of indoor air pollutant emissions

机译:PANDORA数据库:室内空气污染物排放量的汇总

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Modeling indoor air quality (IAQ) in real buildings still remains difficult because of the limited data regarding the pollutant outdoor concentrations and indoor sources. The characterization of indoor sources is currently problematic, as most of studies have focused solely on measuring indoor concentration levels instead of determining the source emission rates that are required to model the indoor concentration changes with time. The present work aims at compiling the available data regarding the emission rates of both gaseous and particulate pollutants in a systematic way into a unique database called PANDORA (a comPUAtioN of inDOor aiR pollutAnt emissions) to provide useful information for IAQ modelers. In addition to the presentation of PANDORA, the elaboration of a target volatile organic compounds (VOC) list based on the emission rates implemented in the database is also described. Results show that the obtained target VOC list is similar to those based on actual indoor VOC concentration measurements, demonstrating that PANDORA alone can be used to produce such a list and that, considering the data integrated in the database, formaldehyde, acetaldehyde, and benzene are the three VOC that should be carefully accounted for in IAQ analysis.
机译:由于有关室外污染物浓度和室内污染源的数据有限,因此在真实建筑物中对室内空气质量(IAQ)进行建模仍然很困难。室内源的表征目前存在问题,因为大多数研究仅集中于测量室内浓度水平,而不是确定模拟室内浓度随时间变化所需的源排放率。本工作旨在以系统的方式将有关气态和颗粒物污染物排放速率的可用数据汇总到一个称为PANDORA(室内所有污染物排放的计算机)的独特数据库中,以为IAQ建模人员提供有用的信息。除了介绍PANDORA之外,还描述了基于数据库中实现的排放速率制定目标挥发性有机化合物(VOC)清单的过程。结果表明,获得的目标VOC清单与基于实际室内VOC浓度测量结果的清单相似,表明单独使用PANDORA可以生成此类清单,并且考虑到数据库中集成的数据,甲醛,乙醛和苯为在室内空气质量分析中应仔细考虑的三个挥发性有机化合物。

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