Research Projects

Project at a Glance

Project Status: complete

Report Published December 1981:

Title: Development and application of methods for estimating inhalable and fine particle concentrations from routine hi-vol data: final report

Principal Investigator / Author(s): Trijonis, John

Contract Number: A0-076-32

Research Program Area: Health & Exposure

Topic Areas: Health Effects of Air Pollution, Impacts


Formulae for translating Hi-Vol data into estimates of inhalable particles (IP) and fine particles (FP) are developed, evaluated, and applied. The equations are developed using simultaneous data from dichotomous samplers and Hi-Vol samplers at 75 locations nationwide, including 11 locations in California. The formulae are multivariate in the sense that they include the Hi-Vol parameters, TSP, 5į4' and Pb; the formulae are hybrid in the sense that the coefficients are partly physicochemical and partly statistical. Several sets of equations are presented with varying degrees of complexity. The Hi-Vol parameters are added in a stepwise fashion --TSP, then so; then Pb. Also, there are national aggregate equations (e.g. IP = 9.61 TSP or FP = 9.39 TSP) as well as equations desegregated by site-type, region, and region/season. Depending on the level of complexity, the predictive errors are as follows: 26 to 31% for individual daily values of IP, 13 to 16% for annual mean values of IP, 39 to 56% for individual daily values of FP, and 16 to 39% for annual mean values of FP. A major application study using 5 years of Hi-Vol data at 226 California sites allows us to investigate the statistical, geographical, and seasonal patterns of TSP, IP and FP throughout California. The most salient features of the application study involve the extremely high particulate concentrations in the Los Angeles area and the San Joaquin Valley. The predictive formulae for IP and FP can also be usefully applied to historical health effects studies based on Hi-Vol data.


For questions regarding this research project, including available data and progress status, contact: Heather Choi at (916) 322-3893

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