https://pasteur.epa.gov/license/sciencehub-license.htmlhttps://pasteur.epa.gov/license/sciencehub-license.html
The DEARS represents a multipollutant spatial characterization of six neighborhoods and their residents in and around Detroit, Michigan. Personal, residential indoor, residential outdoor, and ambient monitoring was performed. Survey information was collected simultaneously with air quality monitoring to provide the means to examine a wide variety of exposure factors on personal exposure.
This dataset is associated with the following publication: Logue, J., M. Sherman, M. Lunden, N. Klepeis, R. Williams , C. Croghan , and B. Singer. Development and assessment of a physics-based simulation model to investigate residential PM2.5 infiltration across the US housing stock. BUILDING AND ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 94(1): 21-32, (2015).
The DEARS represents a multipollutant spatial characterization of six neighborhoods and their residents in and around Detroit, Michigan. Personal, residential indoor, residential outdoor, and ambient monitoring was performed. Survey information was collected simultaneously with air quality monitoring to provide the means to examine a wide variety of exposure factors on personal exposure. This dataset is associated with the following publication: Logue, J., M. Sherman, M. Lunden, N. Klepeis, R. Williams , C. Croghan , and B. Singer. Development and assessment of a physics-based simulation model to investigate residential PM2.5 infiltration across the US housing stock. BUILDING AND ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 94(1): 21-32, (2015).
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https://pasteur.epa.gov/license/sciencehub-license.htmlhttps://pasteur.epa.gov/license/sciencehub-license.html
The DEARS represents a multipollutant spatial characterization of six neighborhoods and their residents in and around Detroit, Michigan. Personal, residential indoor, residential outdoor, and ambient monitoring was performed. Survey information was collected simultaneously with air quality monitoring to provide the means to examine a wide variety of exposure factors on personal exposure.
This dataset is associated with the following publication: Logue, J., M. Sherman, M. Lunden, N. Klepeis, R. Williams , C. Croghan , and B. Singer. Development and assessment of a physics-based simulation model to investigate residential PM2.5 infiltration across the US housing stock. BUILDING AND ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 94(1): 21-32, (2015).