Record Display for the EPA National Library Catalog


Main Title A mathematical model for relating air quality measurements to air quality standards
Author Larsen, Ralph I.
CORP Author Environmental Protection Agency, Research Triangle Park, N. C. Office of Air Programs.
Publisher Environmental Protection Agency, Office of Air Programs; for sale by the Supt. of Docs., U.S. Govt. Print. Off., Washington,
Year Published 1971
Report Number EPA AP-89
Stock Number PB 205 277
OCLC Number 00309137
Subjects Air quality--Standards--United States ; Air quality--Statistical methods
Additional Subjects ( Air pollution ; Statistical analysis) ; ( Atmospheric composition ; Statistical analysis) ; Mathematical models ; Statistical distributions ; Monitors ; Standards ; Carbon monoxide ; Hydrocarbons ; Nitrogen oxides ; Oxidizers ; Sulfur dioxide ; Particles ; Tables(Data) ; Urban areas ; Air quality data ; Air pollution sampling ; Air pollution standards
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
EJAD  EPA AP-89 Region 3 Library/Philadelphia, PA 09/20/1991
EJBD  EPA AP-89 c.1 Headquarters Library/Washington,DC 03/11/2014
EJBM  TD883.1.L37 Headquarters Library/Washington,DC 03/22/2010
EKBD  EPA-AP-89 Research Triangle Park Library/RTP, NC 08/11/2000
ELBD ARCHIVE EPA AP-89 Received from HQ AWBERC Library/Cincinnati,OH 10/04/2023
ERAD  EPA AP-89 Region 9 Library/San Francisco,CA 09/26/2008 DISPERSAL
ESAD  AP-89 Region 10 Library/Seattle,WA 03/23/2010
NTIS  PB-205 277 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation vii, 56 p. illus. 26 cm.
Analyses of air pollution data indicate that air quality measurements tend to fit a general mathematical model having specific characteristics. These characteristics have been used to develop equations that may be employed to calculate the geometric mean, standard geometric deviation, maximum concentration, and various percentile concentrations of air pollutants. To illustrate the predictive, as well as the interpretive value of the model, parameters have been first calculated for one averaging time from actual data and then calculated for other averaging times by means of the model. Maximum concentrations with the model are compared with measured values for seven gaseous pollutants obtained during continuous sampling for up to 7 years in eight cities. The resulting information can be used in developing implementation plans and emission standards. All the equations needed for performing the calculations are listed.
Includes bibliographical references.