Below is the uncorrected machine-read text of this chapter, intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text of each book. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.
As an alternative to collection of up to 1 year of carbon monoxide (CO) monitoring data, a short-term monitoring procedure was developed to predict the likelihood of air quality exceedances at transportation project locations. This report presents a statisti- cal procedure to estimate probability of exceedance of the 8-hour CO standard through collection of a limited amount of data at the project site. A multivariable parameteri- zation was used to develop this procedure. Information needed for development of this parameterization includes (a) meteorology; (b) any other available traffic, meteorolog- ical, or air quality data; (c) details of the project location; (d) a physical description of features near the location; and (e) data collection of meteorology, traffic volumes, frac- tional volumes during A.M. and P.M. periods, fractional red time, 1-hour average CO concentrations, and longer-term data. With this approach, limited monitoring data, dependent upon site location, can be used as a tool in transportation planning and air quality evaluations. SUMMARY SHORT-TERM MONITORING FOR COMPLIANCE WITH AIR QUALITY STANDARDS