Record Display for the EPA National Library Catalog

RECORD NUMBER: 9 OF 9

OLS Field Name OLS Field Data
Main Title Stochastic Human Exposure and Dose Simulation for Particulate Matter (SHEDS-PM), User Guide.
Author Burke, J. ;
CORP Author Environmental Protection Agency, Research Triangle Park, NC. Human Exposure and Atmospheric Sciences Div.
Publisher Apr 2005
Year Published 2005
Report Number EPA-600/R-05/065;
Stock Number PB2006-102413
Additional Subjects Particulate matter ; Environmental exposure ; Doses ; User manuals(Computer programs) ; Computer hardware ; Computer software ; Graphical user interfaces ; Dose distributions ; SHEDS-PM model ; SHEDS-PM(Stochastic Human Exposure and Dose Simulation for Particulate Matter)
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB2006-102413 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 10/09/2006
Collation 108p
Abstract
The Stochastic Human Exposure and Dose Simulation for Particulate Matter (SHEDS-PM) is a population exposure and dose model for particulate matter developed by the US EPA's National Exposure Research Laboratory (NERL). SHEDS-PM uses a probabilistic approach to estimate distributions of PM exposure and dose for a specified population based on PM concentrations supplied as input to the model. SHEDS-PM is intended to be used for providing estimates of the range in exposure and dose across a population (variability), and the likelihood of exposures above a particular level. The stochastic basis for the model also allows for the uncertainty in any given percentile of the exposure or dose distribution to be estimated. SHEDS-PM is driven by a graphical user interface (GUI) that allows the user to specify most inputs needed by the model. At minimum, the user is expected to supply a database of ambient outdoor PM concentrations for the population of interest. Additional inputs required include distributions for the parameters of equations used to estimate microenvironmental PM concentrations based on the ambient outdoor PM concentration and smoking prevalence data (if exposure to environmental tobacco smoke is included in the model run scenario).