Future Low-Cost Urban Air Quality Monitoring Networks: Lessons from the EU-UIA AirHeritage Project DOI Open Access
Saverio De Vito, Antonio Del Giudice, Gerardo D’Elia

и другие.

Опубликована: Авг. 6, 2024

The last decade has seen a significant growth in low-cost air quality monitoring systems (LCAQMS) adoption, mostly driven by the spatial density limitations of traditional regulatory grade networks which restrict their effectiveness several settings. EU's framework advise for deploying one unit per roughly 170,000 people or 15 square kilometers is insufficient capturing high spatio-temporal variance complex urban scenarios. Often these settings are characterized distributed emissions small roads subjected to intense cars traffic, house heating and frequently canyon effects. Air Heritage project Portici, funded Urban Innovative Actions (UIA) program, addressed challenges integrating sensors with engaging community pervasive measurement strategies. highlights importance individualized sensor calibration frequent recalibrations maintain accuracy. It also showcases benefits citizen science approaches, IoT infrastructures, AI components, geostatistical fusion algorithms mobile opportunistic measurements. This paper reports on lessons learned experiences from project, aiming guide future implementations similar contexts. By sharing insights along gathered datalake, we aim inform stakeholders, including researchers, public authorities, citizens, about effective strategies utilizing LCAQMS enhance awareness.

Язык: Английский

Future Low-Cost Urban Air Quality Monitoring Networks: Lessons from the EU-UIA AirHeritage Project DOI Open Access
Saverio De Vito, Antonio Del Giudice, Gerardo D’Elia

и другие.

Опубликована: Авг. 6, 2024

The last decade has seen a significant growth in low-cost air quality monitoring systems (LCAQMS) adoption, mostly driven by the spatial density limitations of traditional regulatory grade networks which restrict their effectiveness several settings. EU's framework advise for deploying one unit per roughly 170,000 people or 15 square kilometers is insufficient capturing high spatio-temporal variance complex urban scenarios. Often these settings are characterized distributed emissions small roads subjected to intense cars traffic, house heating and frequently canyon effects. Air Heritage project Portici, funded Urban Innovative Actions (UIA) program, addressed challenges integrating sensors with engaging community pervasive measurement strategies. highlights importance individualized sensor calibration frequent recalibrations maintain accuracy. It also showcases benefits citizen science approaches, IoT infrastructures, AI components, geostatistical fusion algorithms mobile opportunistic measurements. This paper reports on lessons learned experiences from project, aiming guide future implementations similar contexts. By sharing insights along gathered datalake, we aim inform stakeholders, including researchers, public authorities, citizens, about effective strategies utilizing LCAQMS enhance awareness.

Язык: Английский

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