This is a Preprint and has not been peer reviewed. This is version 2 of this Preprint.
This is a Preprint and has not been peer reviewed. This is version 2 of this Preprint.
Air pollution remains a key environmental problem in an increasingly urbanized world. To quantify health impacts and support informed policies, the population exposure needs to be accurately monitored. However, the inherent spatial variability of air quality poses a tenacious challenge to this. While concentrations of traffic-related pollutants like nitrogen dioxide (NO2) are known to vary over short distances, official monitoring networks remain inherently sparse, as reference stations are costly to construct and operate. Here we show that citizen science provides an cost-effective way to collect large, spatially distributed datasets that critically complement official monitoring.
https://doi.org/10.31223/osf.io/bryje
Environmental Monitoring, Environmental Sciences, Physical Sciences and Mathematics
air quality, citizen science, monitoring, nitrogen dioxide, passive samplers, public exposure
Published: 2020-08-18 18:11
GNU Lesser General Public License (LGPL) 2.1
Data Availability (Reason not available):
Data are available after signing a data sharing agreement (contact: filip.meysman@uantwerpen.be)
There are no comments or no comments have been made public for this article.