Integrating Earth observations, Internet of Things, and simulations to enhance air quality prediction across scales
Type: Virtual Paper
Day: 3/1/2022
Start Time: 9:40 AM
End Time: 11:00 AM
Theme:
Sponsor Group(s):
Geographic Information Science and Systems Specialty Group
, Remote Sensing Specialty Group
, Spatial Analysis and Modeling Specialty Group
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Organizer(s):
Manzhu Yu
, Lan Hai
, Qian Liu
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Chairs(s):
Manzhu Yu, Penn State
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Description:
Air quality has become one of the major global public health concerns, leading to more hospital and emergency room visits, missed school and work, and long-term health risks. The timely and precise production and dissemination of ground-level high-spatiotemporal resolution air quality information would be valuable for urban citizens to make daily activity decisions that protect their health and save their lives eventually. The increasingly available low-cost sensors, Internet of Things, and satellite observations became available in the past few years. These observation platforms can serve as important sources that can be integrated with simulations to enhance the reliability and accuracy of air quality prediction. This session is expected to discuss the following topics (but not limited to):
1. Explorations of new/emerging air quality observations from satellite, IoT, or new ground sensor networks
2. Simulations of high-resolution air quality within polluted areas
3. Integrations of heterogeneous observations for more accurate and frequent air quality information
4. Demonstrations of innovative Machine Learning (Deep Learning) methods or approaches for air quality estimation or prediction
5. Analysis of human exposure and the related justice issues of air pollution
Presentation(s), if applicable
Geoff Boeing, ; Local Inequities in the Relative Production of and Exposure to Vehicular Air Pollution in Los Angeles |
Charlie Zhang, University of Louisville - Louisville, KY; Exploring the spatial associations between air pollution and congenital anomalies in the U.S. |
Chandula Fernando, University of Toronto; Turbulence in UAV-based air quality measurements |
Non-Presenting Participants Agenda
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Integrating Earth observations, Internet of Things, and simulations to enhance air quality prediction across scales
Description
Virtual Paper
Contact the Primary Organizer
Manzhu Yu - mqy5198@psu.edu
Session Sponsored By
