Publications by authors named "Bas Henzing"
Article Synopsis
- Atmospheric new particle formation (NPF) is the natural process of creating tiny particles (sub-10 nm) from gases, observed globally in various environments.
- Although these particles impact total and ultrafine particle concentrations, there is limited research on their health effects largely due to a lack of specific identifiers in existing data.
- This study introduces an automated machine learning algorithm that identifies NPF events from particle data across 65 global measurement sites from 1996 to 2023, facilitating future research on NPF.
Background: Climate change is expected to elevate exposure to several environmental health risk factors, including extreme environmental temperatures, air pollution and airborne allergenic pollen. Given their interconnected effects on respiratory and cardiovascular diseases, it is crucial to evaluate these exposures simultaneously. Yet, comprehensive efforts to do so remain limited.
View Article and Find Full Text PDFCloud condensation nuclei (CCN) number concentrations alongside with submicrometer particle number size distributions and particle chemical composition have been measured at atmospheric observatories of the Aerosols, Clouds, and Trace gases Research InfraStructure (ACTRIS) as well as other international sites over multiple years. Here, harmonized data records from 11 observatories are summarized, spanning 98,677 instrument hours for CCN data, 157,880 for particle number size distributions, and 70,817 for chemical composition data. The observatories represent nine different environments, e.
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