Interpolation of air pollution: a stochastic approach
In epidemiological studies of the effects of air pollution it is desirable to obtain estimates of the exposure to various pollutants of persons living throughout a geographical region under study. On the other hand, it is typically the case that pollution levels are measured at only a few locations. The problems of interpolating these values and of determining the accuracy of interpolation are amenable to analysis by way of spatial stochastic models. Such models can lead to an optimal interpolation technique, in a manner which is reviewed here. The method requires for its application knowledge of the spatial convariance structure of the pollutant to which it is applied. Some difficulties encountered in estimating this for oxidant levels in the San Francisco Bay Area are mentioned.
- Research Organization:
- Stanford Univ., CA (United States)
- DOE Contract Number:
- EY-76-S-02-2874
- OSTI ID:
- 7126240
- Report Number(s):
- COO-2874-11
- Country of Publication:
- United States
- Language:
- English
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