Comparison of NO2 diffusion tube measurement methods and related uncertainties
Year: 2025
Type: article
Abstract: Conventional Palmes Diffusion Tubes (PDTs) are extensively employed by UK Local Authorities for measuring NO 2 in air quality monitoring studies. These devices are known to suffer from biases due to from the effects of wind speed. Modified PDTs with wind protective filters have also been developed for deployment in the UK Urban NO 2 Network (UUNN) with an improved measurement accuracy and repeatability. We report the performance of the two designs and also when enclosed in additional shelters. The comparison was carried out against simultaneous reference measurements and was evaluated through a statistical and modelled uncertainty. The model incorporated the individual components of the measurement uncertainty to provide an estimate of the total measurement uncertainty and identified which elements could be reduced across mean values of multiple measurements. We found that conventional PDTs could be adversely affected by wind speed and that the incorporation of shelters delivered improved repeatability and better accuracy across multiple diffusion tube measurements. The UUNN style diffusive samplers were more accurate than the PDTs and had better repeatability. The additional use of shelters with UUNN style samplers made no discernible difference to the measurements. • Unsheltered, modified tubes perform better than conventional Palmes diffusion tubes. • Palmes diffusion tubes deliver better performance when deployed in shelters. • Palmes diffusion tube uncertainty is dominated by wind speed effects. • Uncertainty assessment identifies key uncertainty sources over different timescales.
Source: Atmospheric Environment
Authors: David Medland, Gabriel Garcia, Tom Gardiner, Nicholas A. Martin, Valerio Ferracci, Ashley Wilkins, David Fryer, Tom Holmes, Pete Edwards, Sebastian Diez, David Butterfield
Institutions: National Physical Laboratory, University of York
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $2,910
Funder: Bureau Veritas
OpenAlex ID: W4409160484
