Session on Bioaerosols at EGU General Assembly 2023 (23rd-28th April 2023, Vienna)

Abstract submission for a session on Bioaerosols: detection, measurements, modelling and impacts is open now.

The EGU General Assembly 2023 brings together geoscientists from all over the world to one meeting covering all disciplines of the Earth, planetary, and space sciences. The EGU aims to provide a forum where scientists, especially early career researchers, can present their work and discuss their ideas with experts in all fields of geoscience.

Session: Bioaerosols: detection, measurements, modelling and impacts

Convener: Ian Crawford

Co-conveners: Emma Marczylo, Norman Van Rhijn, Paolo Prati

Session details: Primary biological aerosol particles span a wide range of sizes from tens of nanometers to up to 100µm. While these particles make a small contribution to the total aerosol number they contribute significantly to the total mass, with biological aerosol accounting for 15-25% of the total aerosol mass burden. The detection and classification of bioaerosol remains a significant technical challenge, where real-time methods capable of high temporal resolution are often limited by their discriminative capabilities, and offline methods which provide detailed speciation suffer from poor time resolution and difficulties in producing atmospheric concentrations. As such, accurately quantifying bioaerosol and understanding their impacts is of importance to an increasingly diverse range of research communities as they pose scientific questions relating to their influence on climate via cloud-aerosol interactions; the effects of allergenic species on public health and air quality and how this may be impacted by changes introduced by net zero policy; the agricultural health security impacts of pathogenic species; and the efficacy of early warning capabilities for national security and defence.

The aim of this session is to bring together expertise from a wide range of disciplines broadly studying bioaerosols. We welcome presentations covering topics on real-time detection methods and machine learning data processing techniques, technique validation, laboratory studies, indoor and outdoor ambient observations, the application and development of models, forecasting and nowcasting, exposure assessment and associated health impacts.

Abstract submission:

Deadline: 10 Jan 2023, 13:00 CET