One year ago, Cleantech platform Airly started installing air pollution sensors in schools across the UK in April 2021 to help school children and parents understand more about air pollution levels. Today. Airly reports on the air pollution levels in these communities.
The UK #LetSchoolsBreathe campaign initiative was started to help school children understand more about air pollution such as particulate matter (PM) and dangerous pollutant gases (like NO2, which is particularly harmful for children). The sensors monitored the air 24 hours a day in the immediate vicinity of the school and they were able to view this data for free on the Airly app or map (airly.org/map/en).
The analysis below is based on data from 36 schools based in 9 UK cities over the last 4 months:
- 35 out of 36 schools experience levels of PM2.5 pollution that exceed the safety norms set out by the World Health Organisation.
- St Anselm’s Primary School in London experienced the most polluted air, whereas Davidson’s Mains School in Edinburgh experienced the least polluted air, with a mean PM2.5 concentration below 5 ug/m3.
- In the first quarter of 2022, the safe annual norm for Nitrogen Dioxide (NO2) was exceeded at 21 (65%) of the schools
- Every school experienced exceedances of diurnal (daily) norms for NO2 and PM2.5. For 50% of schools, these diurnal norms were exceeded every other day.
- The remaining schools experienced diurnal PM2.5 exceedances every third day.
The chart illustrates the highest concentrations of NO2 occur during the morning and afternoon. This is strictly correlated to traffic patterns and is also at the times when pupils are entering and exiting the school. The highest concentrations of NO2 and PM2.5 occur in the vicinity of congested roads, in dense urban areas.
| Rank | City | School Type | PM2.5 | % days where Norm exceeded | Number of exceedances |
| 1 | Tooting | Primary School | 19.85 | 63% | 6 |
| 2 | Southampton | Primary School | 11.93 | 38% | 23 |
| 3 | Lambeth | Primary and Secondary School | 11.59 | 32% | 14 |
| … | |||||
| 30 | Birmingham | Primary School | 7.22 | 17% | 11 |
| 31 | Birmingham | Primary School | 7.05 | 16% | 4 |
| 32 | Edinburgh | Primary School | 4.23 | 9% | 8 |
“Pupils are exposed to high concentrations of NO2 and PM2.5 mainly during travel to school and in school playgrounds. Airly’s outdoor monitors have been positioned in such a way as to be able to determine what kind of air students breathe when they are near the school building. Thanks to the data we have collected, we know the situation is far from perfect, but the first step towards pollution-free schools has been made. This step is to make air pollution a topic for discussion among school communities, having the necessary knowledge and understanding of the causes of pollution and its impact on health, we give hope to the young generation into a world with cleaner and healthy air” commented Marcin Gnat, a spokesman at Airly.
About Airly
Using sensors, Airly provides accurate, ultra-local, predictive data for governments, media, and businesses to tackle the issue of air pollution head-on. Airly’s platform acts as a warning system for pollution at street level and in real-time with greater accuracy and at a lower cost for cities & enterprises.Local councils and municipalities can start by monitoring air quality in real-time on an ongoing basis, locating sources of pollution, and bringing forward policy that targets local pollution by reducing road traffic in the busiest, most polluted places.Similarly, people need to make lifestyle choices that will benefit their air quality and environment. Choosing carsharing, cycling or electric scooters instead of cars will make a significant impact.Airly provides actionable insights about air quality with its AI-driven algorithms that predict air pollution for the next 24 hours with verifiability of up to 95%. Airly gives customers across the globe an environmental intelligence platform by installing networks of sensors that track all the key pollution markers – particulate matter (PM1, PM2.5, PM10) and gases (NO2, O3, SO2, and CO).
