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Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions
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Using infrared geostationary remote sensing to determine particulate matter ground-level composition and
Air Quality, Atmosphere, & Health
|August 2, 2021
Summary
New geostationary infrared sensing offers continuous, day-and-night monitoring of ground-level aerosol concentrations. This method improves spatiotemporal resolution for better air quality event assessment and health impact mitigation.
Area of Science:
- Atmospheric science
- Remote sensing
- Environmental monitoring
Background:
- Surface-based aerosol monitoring is limited globally.
- Existing remote sensing methods lack sufficient spatiotemporal resolution and accuracy for aerosol type, size, and vertical profile.
- Current polar-orbiting satellite data are restricted to daytime observations.
Purpose of the Study:
- To identify requirements for using geostationary infrared data for continuous aerosol concentration estimation.
- To enhance temporal resolution and spectral analysis for improved aerosol characterization.
- To assess the potential of infrared radiance observations for air quality event monitoring.
Main Methods:
- Utilizing geostationary infrared radiance observations for day-and-night monitoring.
- Employing all available infrared channels to maximize spectral differences related to aerosol composition.
- Applying a high-pass filter (brightness temperature differences) to detect compositional variability.
- Testing a preliminary calibration methodology against dust storms, wildfire smoke, and ozone smog events.
Main Results:
- Geostationary remote sensing provides near-continuous data with temporal resolution comparable to ground monitoring.
- Spatial resolution of approximately 4 km² is adequate for large sources but coarse for localized ones.
- Brightness temperature differences show potential for qualifying aerosol composition and estimating concentration magnitude.
- The method demonstrated ability to determine atmospheric stability, clouds, and particle size during case studies.
Conclusions:
- Geostationary infrared remote sensing offers a viable solution for continuous air quality event monitoring.
- This approach can determine the timing, duration, and spatial extent of air quality events.
- Further research is needed to address limitations in spectral sensitivity and spatial resolution for localized sources.
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