Implications of the proposed 24-hour primary PM/sub 10/ standard
Journal Article
·
· J. Air Pollut. Control Assoc.; (United States)
This paper describes the influence of sampling frequency on the probability of attaining the proposed 24-hour primary PM/sub 10/ standard and illustrates a method to compare the stringency of the proposed PM/sub 10/ statistical standard and the existing total suspended particulate (TSP) 24-hour primary deterministic standard. Assuming that attaining or exceeding a standard on a given day is a binomal event, equations are presented to describe the attainment probability for TSP and PM/sub 10/. It is shown that the PM/sub 10/ sampling frequency leading to the highest attainment probability depends on the level of pollution at the site being considered. Curves are presented that show the PM/sub 10/ and TSP expected exceedances that result in equivalent attainment probability. To illustrate the procedure for comparing stringency, the frequency distributions for PM/sub 10/ and TSP at five selected urban sites are presented and the nonattainment probabilities are compared.
- Research Organization:
- Tennessee Valley Authority, Muscle Shoals, AL
- OSTI ID:
- 5946394
- Journal Information:
- J. Air Pollut. Control Assoc.; (United States), Journal Name: J. Air Pollut. Control Assoc.; (United States) Vol. 35:10; ISSN JPCAA
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
29 ENERGY PLANNING, POLICY, AND ECONOMY
290300 -- Energy Planning & Policy-- Environment
Health
& Safety
500200* -- Environment
Atmospheric-- Chemicals Monitoring & Transport-- (-1989)
54 ENVIRONMENTAL SCIENCES
AIR POLLUTION MONITORING
COMPLIANCE
DESIGN
MATHEMATICAL MODELS
MATHEMATICS
PARTICLES
PARTICULATES
PROBABILITY
SAMPLING
STANDARDS
STATISTICAL MODELS
STATISTICS
290300 -- Energy Planning & Policy-- Environment
Health
& Safety
500200* -- Environment
Atmospheric-- Chemicals Monitoring & Transport-- (-1989)
54 ENVIRONMENTAL SCIENCES
AIR POLLUTION MONITORING
COMPLIANCE
DESIGN
MATHEMATICAL MODELS
MATHEMATICS
PARTICLES
PARTICULATES
PROBABILITY
SAMPLING
STANDARDS
STATISTICAL MODELS
STATISTICS