Record Display for the EPA National Library Catalog
RECORD NUMBER: 29 OF 1156
|OLS Field Name||OLS Field Data|
|Main Title||An approach for the preliminary assessment of TSP concentrations.|
|Author||Pace, Thomas G.|
|CORP Author||Environmental Protection Agency, Research Triangle Park, NC. Monitoring and Data Analysis Div.|
|Publisher||U.S. Environmental Protection Agency,|
|Stock Number||PB-286 201|
|Additional Subjects||Particles ; Urban areas ; Monitoring ; Sampling ; Concentration(Composition) ; Sites ; Assessments ; Linear regression ; Numerical analysis ; Sources ; Statistical analysis ; Land use ; Tables(Data) ; Nitrogen oxides ; Industrial wastes ; Combustion products ; Sulfates ; Inorganic nitrates ; Sulfur oxides ; Air quality data ; Air pollution sampling ; Total suspended particulates|
|Collation||67 pages : graphs, charts ; 28 cm|
Air quality data for Total Suspended Particulate (TSP) in 13 U.S. urban areas was examined. The data from 142 monitoring sites were grouped so that residential and commercial sites in non- or light-industrial urban areas could be examined. A relationship between height and concentration was noted at the sites with nearby ground-level activity due to traffic, parking, etc., such that the concentration decreased exponentially with increasing height of the monitor above ground. No such relationship was found at sites with no ground-level activity. Commercial and industrial sites were found to be near ground-level activity in 90 percent of the cases examined while residential sites were virtually never located near such activity. The entire data base was then examined using a multiple regression procedure to estimate the relative impacts of non-industrial, general industrial, and steel mill influences on TSP levels. Non-industrial influences were found to account for over half of the total concentration estimate in all cases. Several potential applications of the linear regression technique are suggested. It can be used as a screening technique for examining TSP data to identify sites with unusual concentrations or to provide a preliminary estimate of sources of TSP. It can be used to interpret the variations in TSP data by estimating siting effects and it can help to identify the causes of discrepancies between predictions obtained with dispersion models and observations.
Appendices included. Includes bibliographical references. Microfiche.