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Urban Airshed Monitoring: New Tools for Aerosol Characterization at Meso-Scale Spatial Resolution

The design and development of next generation of “Smart Cities” and “Green Buildings” must be made in conjunction with the knowledge of the interaction of air pollution with the personal environment. In urban areas, the broad range of sources with varying emission profiles combined with the local meteorology results in a complex, heterogeneous distribution of pollutants. The existing discrete ground-based monitoring sites do not capture the temporal and spatial variations in pollutant concentrations. Advanced numerical modeling tools can provide the capability to predict and track the fate and transport of particles in an urban airshed. However, these simulations are complicated as they require the solution of integrated fluid and chemical processes. Wide-spread use of these models is only possible after thorough validation with data from full-scale experiments and real-world meteorological conditions. Such data can only be obtained from measurements in a real urban environment. Here, we propose to develop a compact, instrumented unmanned aerial vehicle for realtime air quality characterization in urban airsheds. This innovative system will enable unprecedented real-time monitoring that will help in future development and implementation of i-EQS for urban buildings.

PhD Student: Meilu He
Investigators: Suresh Dhaniyala, Pier Marzocca
Sponsor: US EPA, COLLABORATIVE ACTIVITIES FOR RESEARCH & TECHNOLOGY INNOVATION (CARTI) SYR COE
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