Siemens predicts air pollution

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Air pollution in cities isn’t just an inconvenience - it’s a major killer. The World Health Organization reported in May 2015 that almost 90% of the world's urban population breathes in air containing pollutants at well above recommended levels. Around seven million people die each year from the effects of air pollution.

Accurate predictions of pollution levels can help authorities take measures to alleviate the effects and can inform individuals and businesses to plan their activity more effectively and healthily.

Siemens has now developed forecasting models based on neural networks, which can accurately predict levels of air pollution in cities several days in advance. Neural networks are computer models that operate like the human brain -  learning to recognize patterns and relationships, and therefore make predictions.

A pilot project in London proved successful, and Siemens says the system could be rolled out to any city that monitors its air.

Sustainly says

Accurate forecasting is vital to help tackle the effects of air pollution - enabling cities to take pre-emptive action such as closing roads or incentivizing public transport on certain days.