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利用 wibs-4+进行生物气溶胶的光谱探测:人为和气象影响。

Spectroscopic detection of bioaerosols with the wibs-4+: Anthropogenic and meteorological impacts.

机构信息

School of Chemical Sciences, Dublin City University, D09 E432 Dublin, Ireland.

Laboratoire des Sciences du Climat et de l'Environnement (LSCE), CNRS-CEA-UVSQ, 91191 Saint-Aubin, France.

出版信息

Sci Total Environ. 2024 Sep 15;943:173649. doi: 10.1016/j.scitotenv.2024.173649. Epub 2024 Jun 8.

DOI:10.1016/j.scitotenv.2024.173649
PMID:38852865
Abstract

This research builds upon a previous study that explored the potential of the modified WIBS-4+ to selectively differentiate and detect different bioaerosol classes. The current work evaluates the influence of meteorological and air quality parameters on bioaerosol concentrations, specifically pollen and fungal spore dynamics. Temperature was found to be the most influential parameter in terms of pollen production and release, showing a strong positive correlation. Wind data analysis provided insights into the potential geographic origins of pollen and fungal spore concentrations. Fungal spores were primarily shown to originate from a westerly direction, corresponding to agricultural land use, whereas pollen largely originated from a North-easterly direction, corresponding to several forests. The influence of air quality was also analysed to understand its potential impact on the WIBS fluorescent parameters investigated. Most parameters had a negative association with fungal spore concentrations, whereas several anthropogenic influences showed notable positive correlations with daily pollen concentrations. This is attributed to similar driving forces (meteorological parameters) and geographical origins. In addition, the WIBS showed a significant correlation with anthropogenic pollutants originating from combustion sources, suggesting the potential for such modified spectroscopic instruments to be utilized as air quality monitors. By combining all meteorological and pollution data along with WIBS-4+ channel data, a set of Multiple Linear Regression (MLR) analyses were completed. Successful results with R values ranging from 0.6 to 0.8 were recorded. The inclusion of meteorological parameters was dependent on the spore or pollen type being examined.

摘要

这项研究是在前一项研究的基础上进行的,该研究探讨了改良的 WIBS-4+ 选择性区分和检测不同生物气溶胶类别的潜力。目前的工作评估了气象和空气质量参数对生物气溶胶浓度的影响,特别是花粉和真菌孢子的动态。研究发现,温度是影响花粉产生和释放的最主要参数,表现出强烈的正相关关系。风向数据分析提供了花粉和真菌孢子浓度潜在地理来源的见解。真菌孢子主要来自西方,对应农业土地利用,而花粉则主要来自东北,对应几个森林。还分析了空气质量的影响,以了解其对所研究的 WIBS 荧光参数的潜在影响。大多数参数与真菌孢子浓度呈负相关,而几个人为因素与每日花粉浓度呈显著正相关。这归因于相似的驱动力(气象参数)和地理来源。此外,WIBS 与来自燃烧源的人为污染物显示出显著的相关性,表明此类改良的光谱仪器有可能被用作空气质量监测器。通过结合所有气象和污染数据以及 WIBS-4+ 通道数据,完成了一组多元线性回归(MLR)分析。记录到 R 值在 0.6 到 0.8 之间的成功结果。气象参数的纳入取决于正在研究的孢子或花粉类型。

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