## Abstract We develop a statistical model for the bias resulting from designing an air quality monitoring network with the aim of finding large values, and then using the data obtained in studies of health effects of air quality. Appropriate conditional distributions are shown to be wellโknown gen
โฆ LIBER โฆ
The design of cost-effective air quality monitoring networks
โ Scribed by E. E. Pickett; R. G. Whiting
- Publisher
- Springer
- Year
- 1981
- Tongue
- English
- Weight
- 847 KB
- Volume
- 1
- Category
- Article
- ISSN
- 0167-6369
No coin nor oath required. For personal study only.
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The methodologies presented in Parts I and II (refer Modak and Lohani, 1984a and b) are essentially for deciding the best number and configuration for a single pollutant monitor. In practical situations however, Air Quality Monitoring Networks (AQMN) are expected to measure more than one pollutant a