Citation

Benson PE. Transp. Res. Rec. 1984; 963: 7-14.

Copyright

(Copyright © 1984, Transportation Research Board, National Research Council, National Academy of Sciences USA, Publisher SAGE Publishing)

DOI

unavailable

PMID

unavailable

Abstract

Several current methods for estimating worst-case ambient carbon monoxide levels are critically reviewed. The distributions by month, day, and hour of seasonal maximum ambient levels measured at 12 California stations are presented. These distributions are used to develop an observed maximum method for estimating the second annual maximum concentration from limited field measurements. The method is based on the combined use of the binomial distribution and combinatorial analysis. The binomial distribution is used to generate the expected number of occurrences of ambient concentrations within the top six ranks of the seasonal statistics given scheduling and duration of sampling. Combinatorial analysis is used to predict the distribution of seasonal maximums among these top six ranks. The resulting models are verified both separately and together by using the California data. A table is produced that can be used to design sampling plans that will yield observed maximum concentrations equal to or close to the second annual maximum.

Language: en

Keywords

SAMPLING; AIR POLLUTION; CARBON MONOXIDE