## 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 well‐known gen
Air quality monitoring using heterogeneous networks
✍ Scribed by Alessandro Fassò; Michela Cameletti; Orietta Nicolis
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 317 KB
- Volume
- 18
- Category
- Article
- ISSN
- 1180-4009
- DOI
- 10.1002/env.837
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✦ Synopsis
Abstract
In this paper, we consider some approaches to spatio‐temporal modeling of environmental data obtained from an heterogeneous network.
Besides discussing modeling details for spatio‐temporal dynamics and calibration of different instruments, we consider crossvalidation issues and extensions to the monitoring network assessment based on sensitivity analysis.
We then consider a case study based on the heterogeneous network related to fine particulate matter (PM~10~) coming from the Po Valley, North Italy. Copyright © 2007 John Wiley & Sons, Ltd.
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