| 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 |
|
| Holdings |
| Library |
Call Number |
Additional Info |
Location |
Last
Modified |
Checkout
Status |
| 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. |
| Abstract |
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. |
| Notes |
Includes bibliographical references. |
