TY - JOUR
T1 - Towards a UK Airborne Bioaerosol Climatology
T2 - Real-Time Monitoring Strategies for High Time Resolution Bioaerosol Classification and Quantification
AU - Crawford, Ian
AU - Bower, Keith
AU - Topping, David
AU - Piazza, Simone Di
AU - Massabò, Dario
AU - Vernocchi, Virginia
AU - Gallagher, Martin
N1 - Funding Information:
We acknowledge Paolo Prati and Mirca Zotti, University of Genova, for providing access to ChAMBRe and fungal strains, and Marco Brunoldi and Elena Gatta, University of Genova, for the technical support during the experiments at ChAMBRe. The authors would like to acknowledge the Atmospheric Measurement and Observation Facility (AMOF), a Natural Environment Research Council (UKRI-NERC) funded facility, for providing access to the Weybourne Atmospheric Observatory and site meteorological data. We acknowledge Jeremy Price and James McGreggor for providing access to the Meteorological Research Unit, Cardington.
Funding Information:
This research was funded by the NERC BIOARC programme, grant number NE/S002049/1. The ChAMBRe laboratory studies are part of a project that is supported by the European Commission under the Horizon 2020—Research and Innovation Framework Programme, H2020-INFRAIA-2020-1, project: ATMO-ACCESS Grant Agreement number: 101008004.
Publisher Copyright:
© 2023 by the authors.
PY - 2023/8/1
Y1 - 2023/8/1
N2 - Biological particulate matter (BioPM) is a poorly constrained, ubiquitous, and diverse subset of atmospheric aerosols. They influence climate, air quality, and health via many mechanisms, spurring renewed interest in constraining their emissions to elucidate their impacts. In order to build the framework required to assess the role of BioPM in these multidisciplinary areas, it is necessary to develop robust, high time-resolution detection methodologies so that BioPM emissions can be understood and characterized. In this study, we present ambient results from intensive monitoring at UK peri-urban and coastal ground sites using high time-resolution real-time bioaerosol spectrometers. We demonstrate the utility of a new dimensional reduction-driven BioPM classification scheme, where laboratory sample training data collected at the ChAMBRe facility were used to generate broad taxonomic class time series data of key species of interest. We show the general trends of these representative classes, spanning spring, early summer, and autumn periods between 2019 and 2021. Diurnal behaviors and meteorological relationships were investigated and contextualized; a key result arising from this study was the demonstration of rainfall-induced enhancement of nighttime Penicillium-like aerosol, where rainfall crucially only acts to enhance the quantity emitted without significantly influencing the early morning timing of peak spore liberation.
AB - Biological particulate matter (BioPM) is a poorly constrained, ubiquitous, and diverse subset of atmospheric aerosols. They influence climate, air quality, and health via many mechanisms, spurring renewed interest in constraining their emissions to elucidate their impacts. In order to build the framework required to assess the role of BioPM in these multidisciplinary areas, it is necessary to develop robust, high time-resolution detection methodologies so that BioPM emissions can be understood and characterized. In this study, we present ambient results from intensive monitoring at UK peri-urban and coastal ground sites using high time-resolution real-time bioaerosol spectrometers. We demonstrate the utility of a new dimensional reduction-driven BioPM classification scheme, where laboratory sample training data collected at the ChAMBRe facility were used to generate broad taxonomic class time series data of key species of interest. We show the general trends of these representative classes, spanning spring, early summer, and autumn periods between 2019 and 2021. Diurnal behaviors and meteorological relationships were investigated and contextualized; a key result arising from this study was the demonstration of rainfall-induced enhancement of nighttime Penicillium-like aerosol, where rainfall crucially only acts to enhance the quantity emitted without significantly influencing the early morning timing of peak spore liberation.
KW - air quality
KW - bioaerosols
KW - machine learning
KW - real-time detection
KW - UV-LIF spectroscopy
UR - http://www.scopus.com/inward/record.url?scp=85168806449&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/26ad50be-0faa-3ce0-ba1c-3a02e12b782f/
U2 - 10.3390/atmos14081214
DO - 10.3390/atmos14081214
M3 - Article
SN - 2073-4433
VL - 14
JO - Atmosphere
JF - Atmosphere
IS - 8
M1 - 1214
ER -