Air pollutant exposure evidence review
A review of existing data on pollutant concentrations and demographic features, used to understand the strength of the evidence base on how the Scottish population is being exposed to outdoor concentrations of NO2, PM10, and PM2.5.
Footnotes
1 Cleaner Air for Scotland 2 – Towards a Better Place for Everyone.
4 Barnes J, Walker B, Bray I, Hayes E. (2023). Review and Assessment of the Evidence on Health Impacts of Low-Level Pollution in Countries with Levels of Ambient Air Pollution Comparable to Scotland, Bristol: Air Quality Management Resource Centre (AQMRC) and Centre for Public Health and Wellbeing (CPHWB), University of the West of England for the Scottish Government.
5 Air quality in Scotland data
6 Air quality in Scotland - Local air quality management
9 Environment Agency - Monitoring emission to air, land and water (MCERTS)
10 Air Quality Expert Group (2023) New Opportunities for Particulate Measurements.
11 The UK National Atmospheric Emissions Inventory (NAEI)
12 Defra national Pollution Climate Mapping (PCM) modelled background concentrations
13 UK Centre for Ecology & Hydrology - EMEP4UK
14 see ‘Evaluation of the effect of PM2.5 due to domestic solid fuel burning on health outcomes in Scotland’ for Scottish Government.
15 United States Environment Protection Agency - The Integrated Source Apportionment Method (CMAQ-ISAM)
18 Liška, T., Heal, M.R., Lin, C., Vieno, M., Carnell, E.J., Tomlinson, S., Loh, M., and Reis, S.: The effect of workplace mobility on air pollution exposure inequality — a case study in the Central Belt of Scotland. Environmental Research: Health, 2(2), 025006, 2024.
19 E.g. Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty
20 Scottish Pollutant Release Inventory
22 UK gridded population at 1 km resolution for 2021 based on Census 2021/2022 and Land Cover Map 2021
23 Scottish Government - Scottish Index of Multiple Deprivation: data and resources
24 Scottish Government Urban Rural Classification 2022
27 UK-Air - Defra - Population exposure reduction target
28 Lang et al (2019) A trend analysis approach for air quality network data. Atmospheric Environment.
31 An explanation of the 6-fold Urban Rural classification
32 ‘average exposure territorial unit’ means a part of the territory of a Member State designated by that Member State for the purposes of determining the average exposure indicator,
33 The Environmental Targets (Fine Particulate Matter) (England) Regulations 2023
35 Barnes J, Walker B, Bray I, Hayes E. (2023). Review and Assessment of the Evidence on Health Impacts of Low-Level Pollution in Countries with Levels of Ambient Air Pollution Comparable to Scotland, Bristol: Air Quality Management Resource Centre (AQMRC) and Centre for Public Health and Wellbeing (CPHWB), University of the West of England for the Scottish Government.
39 Scottish Government - Scottish House Condition Survey: key findings and analysis
40 Defra (2024) Domestic Burning Practices in the UK. Burning in UK homes and gardens.
41 2011 census used because the 2022 census uses different data zones which are not directly comparable with the SIMD
42 Continuous or daily sampling used for compliance assessment such as chemiluminescence samplers for NO2 and a variety of reference-equivalent instruments for PM.
43 For example, most types of NO2 diffusion tubes and low-cost sensors.
44 Measurement Uncertainty for PM2.5 in the Context of the UK National
45 Expanded uncertainty quantifies both systematic bias (the average difference between the method and the reference method) and random error (the variability in the relationship). It is calculated as the square root of the combined square of the bias component and the square of the random component, divided by the limit value, multiplied by 100 to express as a percentage, and then multiplied by a coverage factor of 2 to provide 95% confidence (EN 16450:2017).
47 Berkson error arises when an observed value (like a group average) is fixed, but the true individual values vary randomly around that fixed point. In this scenario, the measurement error is independent of the observed value but correlated with the true value, which prevents the "attenuation bias" usually seen in other types of measurement error.
48 While Berkson error is traditionally considered not to introduce bias, this is often not true for air quality, because monitor siting constraints can cause bias (for example, if only background monitors are used then near-source exposure is under-counted).
49 AQEG (2012) Fine Particulate Matter (PM2.5) in the United Kingdom.
50 WHO global air quality guidelines.
51 Air Quality Expert Group - Modelling of future PM2.5 in support of the Defra air quality