Quality of digital images as means of ambient fine PM assessment
Yacobi, T., Etzion, Y., Jayaratne, Rohan, Rahman, Md Mahmudur, Morawska, Lidia, & Fishbain, Barak (2016) Quality of digital images as means of ambient fine PM assessment. In 22nd European Aerosol Conference, 4-9 September 2016, Tours, France. (In Press)
Continuous monitoring of airborne fine particulate matter (fine PM) is fundamental for exposure assessment and management of environmental and public health risks. Traditionally, local continuous sampling is conducted only by sparsely distributed air quality monitoring stations (AQMS) to provide the mass fraction of particles < 2.5 µm (PM2.5). This research aims at establishing a low-cost and flexible remote sensing methodology, based on generic digital cameras, that exploits image quality measures in order to estimate fine PM loadings in the open path between the camera sensor and the imaged scene. Differing from traditional aerosol remote sensing, the proposed method is based on indirect effects of light scattering by particles and aims to monitor horizontal near ground atmosphere layers, thus seek to better resolve spatial variations in ambient PM concentrations.
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|Item Type:||Conference Item (Poster)|
|Subjects:||Australian and New Zealand Standard Research Classification > EARTH SCIENCES (040000) > ATMOSPHERIC SCIENCES (040100) > Atmospheric Aerosols (040101)
Australian and New Zealand Standard Research Classification > ENVIRONMENTAL SCIENCES (050000) > ENVIRONMENTAL SCIENCE AND MANAGEMENT (050200) > Environmental Monitoring (050206)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ENVIRONMENTAL ENGINEERING (090700) > Environmental Engineering not elsewhere classified (090799)
|Divisions:||Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > Institutes > Institute of Health and Biomedical Innovation
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2016 [please consult the authors]|
|Deposited On:||28 Jun 2016 02:40|
|Last Modified:||16 Sep 2016 23:41|
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