Journal article
On the Spatio-Temporal Relationship Between MODIS AOD and PM2.5 Particulate Matter Measurements
Journal of data science, Vol.12(2), pp.255-275
03/09/2021
DOI: 10.6339/JDS.201404_12(2).0003
Abstract
Particulate matter smaller than 2.5 microns (PM2.5) is a com monly measured parameter in ground-based sampling networks designed to assess short and long-term air quality. The measurement techniques for ground based PM2.5 are relatively accurate and precise, but monitoring lo cations are spatially too sparse for many applications. Aerosol Optical Depth (AOD) is a satellite based air quality measurement that can be computed for more spatial locations, but measures light attenuation by particulates throughout in entire air column, not just near the ground. The goal of this paper is to better characterize the spatio-temporal relationship between the two measurements. An informative relationship will aid in imputing PM2.5 values for health studies in a way that accounts for the variability in both sets of measurements, something physics based models cannot do. We use a data set of Chicago air quality measurements taken during 2007 and 2008 to construct a weekly hierarchical model. We also demonstrate that AOD measurements and a latent spatio-temporal process aggregated weekly can be used to aid in the prediction of PM2.5measurements.
Details
- Title: Subtitle
- On the Spatio-Temporal Relationship Between MODIS AOD and PM2.5 Particulate Matter Measurements
- Creators
- Aaron T PorterJacob J OlesonCharles O Stanier
- Resource Type
- Journal article
- Publication Details
- Journal of data science, Vol.12(2), pp.255-275
- DOI
- 10.6339/JDS.201404_12(2).0003
- ISSN
- 1680-743X
- eISSN
- 1683-8602
- Language
- English
- Date published
- 03/09/2021
- Academic Unit
- Biostatistics; Chemical and Biochemical Engineering
- Record Identifier
- 9984210353702771
Metrics
20 Record Views