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Relationship between sources and patterns of VOCs in indoor air

机译:室内空气中VOC的来源与模式之间的关系

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People spend most of their daytime in indoor environments. Their activities influence the composition of the indoor air by emitting volatile organic compounds (VOCs). The increasing number of different VOCs became the focus of attention in recent years as the question arises from the relationship between exposure to air pollutants and diseases. The present study of flats in Leipzig (Germany) is based on measurements of 60 different VOCs and is unique in the field of indoor air quality due to its enormous size of samples (n = 2 242) and questionnaire data. The main purpose of our analysis was to identify the sources and patterns that characterize airborne VOCs in occupied flats. We combined two methods, principal components analysis (PCA) and non–negative matrix factorization (NMF), to assign compounds to their origin and to understand the coinstantaneous existence of several VOCs. PCA clustering provided a source apportionment and yielded 10 principal components (PCs) with an explained variance of 72%. However, real indoor air quality is often affected by combined sources. NMF reveals characteristic compositions of VOCs in indoor environments and emphasizes that constantly recurring structures are not single sources, but rather fusions of them, so called patterns. Interpreting these sources, we realized that homes were strongly influenced by ventilation, human activities, furnishings, natural processes (such as solar radiation) or their combinations. The very large set of samples and the combination with questionnaires applied on this comprehensive assessment of VOCs allows generalizing the results to homes in middle–scale cities with minor industrial pollution. As a conclusion, single VOC–dose–response relationships are inopportune for situations when indoor sources occur in combination. Further studies are necessary to assess associated health risks.
机译:人们大部分时间都在室内环境中度过。它们的活动通过释放挥发性有机化合物(VOC)影响室内空气的成分。近年来,越来越多的VOC成为人们关注的焦点,这是由于暴露于空气污染物与疾病之间的关系引起的。当前对莱比锡(德国)的公寓的研究基于对60种不同VOC的测量,并且由于其巨大的样本量(n = 2242)和问卷数据而在室内空气质量领域中是独一无二的。我们分析的主要目的是确定造成居住公寓中机载挥发性有机化合物特征的来源和模式。我们结合了主成分分析(PCA)和非负矩阵分解(NMF)这两种方法,将化合物分配给它们的来源并了解几种VOC的同时存在。 PCA聚类提供了源分配,并产生了10个主成分(PC),其解释方差为72%。但是,实际的室内空气质量通常受多种来源的影响。 NMF揭示了室内环境中VOC的特征成分,并强调不断重复出现的结构不是单一来源,而是它们的融合,即所谓的模式。解释这些来源后,我们意识到房屋受到通风,人类活动,家具,自然过程(例如太阳辐射)或其组合的强烈影响。对这一挥发性有机化合物进行全面评估的样本量非常大,再加上与调查表的结合,可以将结果推广到工业污染较小的中型城市的房屋中。结论是,当室内源混合出现时,单一的VOC-剂量-反应关系是不合适的。有必要进行进一步的研究以评估相关的健康风险。

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