Inferring the Attainment of National Ambient Air Quality Standards using Missing Value Time Series Techniques
Data records from ambient air quality monitors commonly contain a substantial fraction of missing values. We discuss the problem of inferring whether air quality standards have been attained based on an incomplete record, and suggest how current missing value time series techniques might be applied to the problem.
KeywordsConditional Distribution Pollutant Concentration Total Suspended Particulate Temporal Independence Indicator Series
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- Curran, T. C. (1979), “Guideline for the Interpretation of Ozone Air Quality Standards,” EPA-450/4-79-003, U. S. Environmental Protection Agency, Research Triangle Park, NC.Google Scholar
- Switzer, P. (1981), “Stochastic Processes in the Analysis of Environmental Data,” in Environmetrics 81: Selected Papers, Society for Industrial and Applied Mathematics, Philadelphia, PA.Google Scholar
- Thrall, A. D., and C. S. Burton (1983), “The Probability of NAAQS Nonattainment When Exceedance Outcomes Constitute a Two-State Markov Process,” paper in preparation for the Journal of the Air Pollution Control Association, Systems Applications, Inc., San Rafael, CA.Google Scholar