Cluster analysis of WIBS single-particle bioaerosol data
Cluster analysis of WIBS single-particle bioaerosol data
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DOI：
10.5194/amt-6-337-2013
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发表时间：
2012-09
影响因子：
3.8
通讯作者：
N. Robinson;J. Allan;J. A. Huffman;P. Kaye;Virginia Foot;M. Gallagher
中科院分区：
文献类型：
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作者：
N. Robinson;J. Allan;J. A. Huffman;P. Kaye;Virginia Foot;M. Gallagher
摘要。利用两个双宽带集成生物气溶胶传感器（WIBSs）收集的单粒子多空间数据集，包括光学直径、不对称性和三种不同的荧光测量值，进行了分层聚类分析。该技术在各种荧光和非荧光聚苯乙烯乳胶球（PSL）的测量上进行了演示，然后应用于美国科罗拉多州一个森林地点记录的两个独立的同期环境WIBS数据集，作为BEACHON-RoMBAS项目的一部分。两组数据的聚类分析结果一致。通过将浓度时间序列和聚类平均测量值与已发表的文献（其中缺乏）进行比较，初步解释聚类，以代表以下内容：非荧光积聚模式气溶胶；细菌聚集;还有真菌孢子。据我们所知，这是首次将聚类分析应用于长期在线初级生物气溶胶颗粒（PBAP）测量。这种聚类技术的新应用提供了一种方法，可以将WIBS数据常规地简化为更容易解释的离散浓度时间序列，而无需对预期的气溶胶类型进行任何先验假设。与更标准的分析方法相比，它可以降低主观性，后者通常是通过简单检查各种集成数据产品来执行的。它还具有潜在的优势，可以解决人口较少或细微不同的粒子类型。随着基于荧光的气溶胶仪器测量精度、动态范围和可用指标数量的提高，这项技术在未来可能会变得更加强大。
Abstract. Hierarchical agglomerative cluster analysis was performed on single-particle multi-spatial data sets comprising optical diameter, asymmetry and three different fluorescence measurements, gathered using two dual Wideband Integrated Bioaerosol Sensors (WIBSs). The technique is demonstrated on measurements of various fluorescent and non-fluorescent polystyrene latex spheres (PSL) before being applied to two separate contemporaneous ambient WIBS data sets recorded in a forest site in Colorado, USA, as part of the BEACHON-RoMBAS project. Cluster analysis results between both data sets are consistent. Clusters are tentatively interpreted by comparison of concentration time series and cluster average measurement values to the published literature (of which there is a paucity) to represent the following: non-fluorescent accumulation mode aerosol; bacterial agglomerates; and fungal spores. To our knowledge, this is the first time cluster analysis has been applied to long-term online primary biological aerosol particle (PBAP) measurements. The novel application of this clustering technique provides a means for routinely reducing WIBS data to discrete concentration time series which are more easily interpretable, without the need for any a priori assumptions concerning the expected aerosol types. It can reduce the level of subjectivity compared to the more standard analysis approaches, which are typically performed by simple inspection of various ensemble data products. It also has the advantage of potentially resolving less populous or subtly different particle types. This technique is likely to become more robust in the future as fluorescence-based aerosol instrumentation measurement precision, dynamic range and the number of available metrics are improved.