New project to improve London’s air quality forecasting

A two-year project to explore ways to improve how air quality is modelled in London has been launched. Mayor Sadiq Khan said the collaboration with the Alan Turing Institute aims […]

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By Priyanka Shrestha

A two-year project to explore ways to improve how air quality is modelled in London has been launched.

Mayor Sadiq Khan said the collaboration with the Alan Turing Institute aims to develop machine learning models that will enable better air quality forecasting and modelling – which could help reduce the levels of pollution in key areas.

There are currently around 100 large air quality monitoring stations in London that are active at any time, however the number and types of monitors and sensors are expected to increase.

The mayor aims to set standards and develop flexible ways to incorporate these new sources of data collection in City Hall’s air quality modelling and analysis work.

Recent research revealed around 7.9 million Londoners live in areas exceeding World Health Organisation’s air quality guidelines.

Mr Khan’s new £10 T-Charge, which will help remove older, more polluting vehicles from central London, came into effect yesterday.