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Showing 1 to 8 of 8 for “"receptor modeling"”.

  1. Temporally Correlated Dirichlet Processes in Pollution Receptor Modeling

    … of pollution those sources emit. Multivariate receptor modeling seeks to estimate pollution source profiles and pollution emissions from concentrations of pollutants such as particulate matter (PM) in the air. Previous approaches to multivariate receptor modeling make the following two key …

    byu Repository record for Temporally Correlated Dirichlet Processes in Pollution Receptor Modeling (opens in a new tab)

  2. Organic Tracer Analyses and Receptor Modeling of PM2.5 in Fairbanks, Alaska

    Ambient particulate matter (PM) levels are of great importance to many areas around the world for both environmental and health concerns. It is well known that many sources of PM are anthropogenic in nature, including sources such as the combustion of petroleum products and wood. As per the Clean …

    montana-tech Repository record for Organic Tracer Analyses and Receptor Modeling of PM2.5 in Fairbanks, Alaska (opens in a new tab)

  3. Organic Tracer Analyses and Receptor Modeling of PM2.5 in Fairbanks, Alaska

    Ambient particulate matter (PM) levels are of great importance to many areas around the world for both environmental and health concerns. It is well known that many sources of PM are anthropogenic in nature, including sources such as the combustion of petroleum products and wood. As per the Clean …

    montana Repository record for Organic Tracer Analyses and Receptor Modeling of PM2.5 in Fairbanks, Alaska (opens in a new tab)

  4. Source receptor modeling of airborne particles collected over the Great Lakes

    High-volume air samplers were used to collect aerosol samples on Whatman 41 air filters at the Canadian air sampling stations Burnt Island, Egbert and Point Petre. Once collected, the samples were analyzed for trace elements by neutron activation analysis. Air concentrations of over thirty trace …

    uiuc Repository record for Source receptor modeling of airborne particles collected over the Great Lakes (opens in a new tab)

  5. Particle Class Balance for Apportioning Aerosol Mass

    … time. To exploit CCSEM as a source apportionment receptor modeling technique, it is important to define the membership of each particle in a well defined particle class. Various clustering methods were examined to obtain possible members of homogeneous particle classes. An expert system was then …

    uiuc Repository record for Particle Class Balance for Apportioning Aerosol Mass (opens in a new tab)

  6. The natural and industrial cycling of indium in the environment

    … of indium to other metals in these samples, and receptor modeling suggest that the highest indium concentrations come from nonferrous smelters in the north, while lower concentrations are seen in air traveling from the midwestern US. Fluxes of indium to Thoreau's Bog in Concord, MA, began …

    mit Repository record for The natural and industrial cycling of indium in the environment (opens in a new tab)

  7. Air Quality in Mexico City: Spatial and Temporal Variations of Particulate Polycyclic Aromatic Hydrocarbons and Source Apportionment of Gasoline-Versus-Diesel Vehicle Emissions

    … MCMA using positive matrix factorization (PMF) receptor modeling. The Aerodyne Mobile Laboratory drove throughout the MCMA in March 2006 and measured on-road concentrations of a large suite of gaseous and particulate pollutants, including carbon dioxide, carbon monoxide (CO), nitric oxide (NO), …

    vt Repository record for Air Quality in Mexico City: Spatial and Temporal Variations of Particulate Polycyclic Aromatic Hydrocarbons and Source Apportionment of Gasoline-Versus-Diesel Vehicle Emissions (opens in a new tab)