Summary
"Poor air quality in cities around the world is a major societal and economic issue, causing more than 5.5 million premature deaths and resulting in €4.3 trillion in welfare losses. Preserving and improving the public health requires effective monitoring of air pollutants from their sources to their transport within the city web, however existing air quality monitoring networks have either very low spatial resolution or low accuracy to serve this purpose. Building on the technology solutions developed within the D-TECT ERC CoG, our project aims to cover this gap by commercializing the ""PM-scanner"", a remote sensing instrument which will monitor particulate matter (PM) concentration over large areas with unprecedented accuracy and high spatial and temporal resolution. Briefly, the instrument will emit laser pulses and observe the intensity and polarization state of the backscatter light as it travels in the atmosphere; these data will be analysed using dedicated Artificial Intelligence (AI) algorithms to provide PM2.5 and PM10 concentration at multiple locations above a city. We envision that the PM-scanner will be a powerful tool to regional governments, environmental protection agencies and polluting industries, allowing effective real-time monitoring of pollution agents and supporting data-driven air quality policies and actions. Within the proposed PoC project, we aim to verify the innovation potential of the PM-scanner idea by establishing a defensible IP position, building a realistic demonstrator of the PM data products based on the D-TECT Wall-E lidar prototype, and validating our approach by interacting with stakeholders in the envisaged value chain."
Unfold all
/
Fold all
More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/966837 |
| Start date: | 01-04-2021 |
| End date: | 30-09-2022 |
| Total budget - Public funding: | - 150 000,00 Euro |
Cordis data
Original description
"Poor air quality in cities around the world is a major societal and economic issue, causing more than 5.5 million premature deaths and resulting in €4.3 trillion in welfare losses. Preserving and improving the public health requires effective monitoring of air pollutants from their sources to their transport within the city web, however existing air quality monitoring networks have either very low spatial resolution or low accuracy to serve this purpose. Building on the technology solutions developed within the D-TECT ERC CoG, our project aims to cover this gap by commercializing the ""PM-scanner"", a remote sensing instrument which will monitor particulate matter (PM) concentration over large areas with unprecedented accuracy and high spatial and temporal resolution. Briefly, the instrument will emit laser pulses and observe the intensity and polarization state of the backscatter light as it travels in the atmosphere; these data will be analysed using dedicated Artificial Intelligence (AI) algorithms to provide PM2.5 and PM10 concentration at multiple locations above a city. We envision that the PM-scanner will be a powerful tool to regional governments, environmental protection agencies and polluting industries, allowing effective real-time monitoring of pollution agents and supporting data-driven air quality policies and actions. Within the proposed PoC project, we aim to verify the innovation potential of the PM-scanner idea by establishing a defensible IP position, building a realistic demonstrator of the PM data products based on the D-TECT Wall-E lidar prototype, and validating our approach by interacting with stakeholders in the envisaged value chain."Status
CLOSEDCall topic
ERC-2020-POCUpdate Date
27-04-2024
Images
No images available.
Geographical location(s)
