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Modelling hourly spatio-temporal PM2.5 concentration in wildfire scenarios using dynamic linear models

Author
Sánchez-Balseca, J.; Pérez-Foguet, A.
Type of activity
Journal article
Journal
Atmospheric research
Date of publication
2020-09
Volume
242
First page
104999:1
Last page
104999:9
DOI
10.1016/j.atmosres.2020.104999
URL
https://www.sciencedirect.com/science/article/pii/S0169809520301939 Open in new window
Abstract
Particulate matter with aerodynamic diameter¿<¿2.5¿µm (PM2.5) is one of the main pollutants generated in wildfire events with negative impacts on human health. In research involving wildfires and air quality, it is common to use emission models. However, the commonly used emission approach can generate errors and contradict the empirical data. This paper adopted a statistical approach based in evidence of ground level monitoring and satellite data. An hourly PM2.5 spatio-temporal model based...
Keywords
Air quality, Environmental statistics, Particulate matter, Spatial modelling, Wildfire
Group of research
EScGD - Engineering Sciences and Global Development

Participants