LancasterAQ: A High Resolution Street Level Dataset of Ultrafine Particles

This is a Preprint and has not been peer reviewed. This is version 2 of this Preprint.

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Authors

Matt Amos, Douglas Booker, Rachael Duncan, Lily Gouldsbrough, Thomas Pinder, Paul J Young, Jeremy Daniel Carter

Abstract

We present a mobile dataset of ultrafine particles (UFPs) in Lancaster, UK, with measurements taken by car and bike over 5 days in May 2022. UFPs are a constituent of air pollution and comprise of particulate matter (PM) less than 0.1μm in diameter. UFPs are unregulated and less measured than larger constituents of PM, despite being harmful to health and an important part of the atmospheric and meteorological system. By making mobile UFP measurements, we have produced a street level dataset that captures the high spatial variability of UFPs at the scale an individual experiences it. The dataset is accessible through the LancasterAQ Python package and lends itself to modelling spatially or on a network. This dataset's potential use cases include route planning under constraints of air pollutant exposure, identifying processes that affect air pollution at street level, and investigating the causal relationship between human activity and UFPs.

DOI

https://doi.org/10.31223/X5664V

Subjects

Other Earth Sciences

Keywords

air quality, Ultrafine particles, Dataset, Lancaster

Dates

Published: 2022-10-03 11:01

Last Updated: 2022-10-31 13:03

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License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None

Data Availability (Reason not available):
https://github.com/lgouldsbrough/LancasterAQ

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