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Numerical model for traffic volume and weekly cycles of total suspended particulates

Thesis/Dissertation ·
OSTI ID:6852146

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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