A new academic year starts with fresh hopes but some lingering problems persist. Chiefly, high air pollution levels around schools. Airly conducted a study based on available air pollution monitoring sources which shows NO2 levels were greater than WHO acceptable levels around 41% of UK schools.
What is NO2 or nitrogen dioxide? It is a pollutant gas which increases the risk of asthma and exacerbates the symptoms of asthma in children, reduces lung function and increases the likelihood of inflammation of the airways. The main sources of NO2 are road traffic (fuel combustion) and heavy industry.
During pandemic-related lockdowns, air quality around schools improved but over the last 12 months, it has returned to the excessive ‘normal’. The charts below illustrate the problem by timeline. Notably, NO2 levels around schools in London have the highest levels across the UK.
41% of British schools exceeded the acceptable levels of NO2 in 2021. This is an improvement from 2019 when 49% of schools across the country had exceeded the norms. The significant drop in NO2 levels during the lockdown in spring 2020 and during the following summer vacation shows the extent to which human activity can impact NO2 levels.
Pollutants such as NO2 and PM10 affect not only health but also learning ability. Several studies from recent years prove that air pollution can harm cognitive intelligence, while other studies have proven that reducing air pollution can significantly increase the memory of young people.
Another finding from the Airly study shows that children living in the poorest parts of the UK are more exposed to higher levels of air pollution. The analysis of the mean PM10 pollution (the most common pollutant measured) around schools in the United Kingdom showed that there is a relation between the PM10 concentrations and the IMD Score of the neighbourhood. This graph presents the relationship between IMD Score and air pollution around schools, grouped in boroughs. Selected boroughs are highlighted.
These socially deprived areas have a greater presence of air pollution for a number of factors including the concentration of older cars, dense housing populations, the lack of green urban areas, part of the industrial revolution legacy and have worse aero sanitary conditions.
What can schools do to improve the situation? In order to reduce air pollution near schools, it is first and foremost necessary to know what level of pollution there is in the vicinity of the school. To measure this, it is necessary to monitor the air quality outside, to measure the air quality in the vicinity of the facility on an ongoing basis and to analyze the pollution peaks in order to effectively influence their flattening. Airly launched the #LetSchoolsBreathe campaign earlier this year, the aim of which was to provide 50 air quality sensors to schools in the UK so that they could monitor the air quality in their surroundings on an ongoing basis. After six months, each school is to receive a report analyzing the concentrations of No2 and PM at schools and suggestions on what steps to take to improve the situation.
The next step may be to reduce car traffic near the school, rearrange the paths to the school to minimize the risk of contamination for students, or also increase the amount of green space near the schools both at the front and backyard.
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Founded in 2016 is a cleantech startup that provides ultra-local, accurate, predictive air quality data to help tackle air pollution globally. Airly enables governments, companies and individuals to reduce air pollution globally. Airly’s customers comprise over 600 local governments and cities including Hong Kong, Jakarta, Oslo, Granada, corporates such as Philips, Virgin, Innogy, PwC, Veolia and Skanska.
Airly provides actionable insights about air quality with its AI-driven algorithms that predict air pollution for the next 24 hours with a 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).
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