Speaker
Description
Many European cities experience substantial air pollution. In Norway, air pollution causes around 2.000 premature deaths every year and the external costs related to these health effects amounts to 8-13 billion Euros per year.
Municipalities need real-time environmental data at high spatial and temporal resolution in order to design effective plans, prioritize and monitor actions for tackling air quality. However, current systems based on expensive and scarce air quality monitoring stations are not capable to offer information at the level of detail municipalities need.
Air quality sensor technologies have significantly lower investment costs than traditional instrumentation, but the generated data are often of questionable quality. To take full advantage of these technology, we have developed a novel ICT infrastructure capable to handle large amounts of heterogeneous data, including sophisticated machine learning methods for real-time data quality assurance and data assimilation methods for merging sensor data with other already existing data to determine air quality at a particular location and time with high accuracy. The primary innovation of the sensor infrastructure is in enabling a seamless use of sensing and ICT technologies to increase sensor data quality and provide locally specific environmental data for the municipalities and for citizens.
The infrastructure has been successfully piloted in five municipalities: Bergen, Bærum, Drammen, Kristiansand and Oslo, where a variety of environmental sensors have been connected for supporting environmental management.
| GDPR complianced | Yes |
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| I am willing and able to travel to Norway unless Covid-19 restrictions prevent me from traveling to Stavanger. | YES |
