This work was supported by the Natural Science and Engineering Research Council of Canada as well as by the Pacific Institute of the Mathematical Sciences.
An empirical assessment of Bayesian melding for mapping ozone pollution†
Article first published online: 28 FEB 2011
Copyright © 2011 John Wiley & Sons, Ltd.
Volume 22, Issue 3, pages 340–353, May 2011
How to Cite
Liu, Z., Le, N. D. and Zidek, J. V. (2011), An empirical assessment of Bayesian melding for mapping ozone pollution. Environmetrics, 22: 340–353. doi: 10.1002/env.1054
- Issue published online: 15 APR 2011
- Article first published online: 28 FEB 2011
- Manuscript Accepted: 13 MAY 2010
- Manuscript Received: 14 JAN 2010
- Bayesian melding;
- Bayesian hierarchical model;
- chemical transportation models;
- spatial mapping;
- ozone NAAQS;
- mismatched support
This paper reviews the Bayesian melding approach while a companion technical report cited in the paper gives technical details about the Gibbs sampling algorithm used to implement the model and software developed for the research reported in this paper and available online can enable the method's use in other applications. This paper critically assesses the use of melding for mapping ozone concentration fields for possible future use in setting regulatory standards. This assessment has two stages. First a simulation study validates the computer code and goes on to investigate properties of the melding approach in situation where the “truth” is known. Then it is critically tested on a ozone mapping application using ozone data from the air quality system (AQS) database and simulated data from the multiscale air quality simulation platform (MAQSIP) chemical transportation model for ozone. In all cases, the melding is testing against Kriging, a simpler and more traditional way of mapping spatial fields. Conclusions and recommendations for future work are provided. Copyright © 2011 John Wiley & Sons, Ltd.