Numerical model for traffic volume and weekly cycles of total suspended particulates
This study examined daily concentrations of total suspended particulates (TSP) for 1973-1977 at five sites in New Jersey. The primary purpose of the study was to examine the relationship between TSP and traffic volume; however, sulfur dioxide, temperature, wind speed carbon monoxide, and other variables were included as controls. The weekly cycle of TSP, with low weekend values and high weekday values, was of particular interest. Statistical techniques included descriptive statistics. Pearson correlations, factor analysis, and regression analysis. The final results were five models that show the relationship of key variables to TSP at each site. Variables that emerged as explanators of TSP in the five equations are traffic volume, precipitation, sulfur dioxide, average wind speed, and a variable representing maximum temperature. Both arithmetic and semi-logarithmic models were developed, but the arithmetic models were dropped due to heteroscedastic residual patterns. No quantifiable industrial emissions variables were available for inclusion in the data set. Since industrial variables were available for inclusion in the data set. Since industrial emissions, like traffic volume, may show a weekly cycle, TSP cannot be conclusively tied to traffic volume. Recommendations for a program to gather additional data are presented.
- Research Organization:
- Rutgers--the State Univ., New Brunswick, NJ (USA)
- OSTI ID:
- 6852146
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
Atmospheric-- Chemicals Monitoring & Transport-- (-1989)
54 ENVIRONMENTAL SCIENCES
AIR POLLUTION
AIR POLLUTION MONITORING
AUTOMOBILES
DAILY VARIATIONS
ECOLOGICAL CONCENTRATION
EXHAUST GASES
FEDERAL REGION II
FLUIDS
GASEOUS WASTES
GASES
MATHEMATICAL MODELS
MATHEMATICS
NEW JERSEY
NORTH AMERICA
PARTICLES
PARTICULATES
POLLUTION
REGRESSION ANALYSIS
STATISTICS
USA
VARIATIONS
VEHICLES
WASTES