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DOI	10.1016/j.atmosres.2020.104999
	Modelling hourly spatio-temporal PM2.5 concentration in wildfire scenarios using dynamic linear models
	Sánchez-Balseca J.; Pérez-Foguet A.
发表日期	2020
ISSN	0169-8095
卷号	242
英文摘要	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 on a dynamic linear modelling framework with Bayesian approach was proposed in a territorial context with a reduced number of monitoring stations for particulate matter. The model validation is complicated by the fact that all monitoring stations are used in the model calibration. The novel validation method proposed considered both the particulate matter with aerodynamic diameter < 10 μm (PM10) recorded as daily value from 24-h mean every six days as well as the PM2.5/PM10 ratio. Modelling was carried out to provide satisfactorily the exposure level of PM2.5 in a case study of wildfire event. © 2020 Elsevier B.V.
英文关键词	Air quality; Environmental statistics; Particulate matter; Spatial modelling; Wildfire
语种	英语
scopus关键词	Aerodynamics; Air quality; Bayesian networks; Particles (particulate matter); Aerodynamic diameters; Bayesian approaches; Dynamic linear model; Modelling framework; Monitoring stations; PM2.5 concentration; Spatio-temporal models; Statistical approach; Fires; air quality; atmospheric pollution; concentration (composition); health impact; modeling; particulate matter; public health; wildfire
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/141906
作者单位	Research group on Engineering Sciences and Global Development (EScGD), Civil and Environmental Engineering Department, Universitat Politècnica de Catalunya – BarcelonaTech (UPC), Spain
推荐引用方式 GB/T 7714	Sánchez-Balseca J.,Pérez-Foguet A.. Modelling hourly spatio-temporal PM2.5 concentration in wildfire scenarios using dynamic linear models[J],2020,242.
APA	Sánchez-Balseca J.,&Pérez-Foguet A..(2020).Modelling hourly spatio-temporal PM2.5 concentration in wildfire scenarios using dynamic linear models.Atmospheric Research,242.
MLA	Sánchez-Balseca J.,et al."Modelling hourly spatio-temporal PM2.5 concentration in wildfire scenarios using dynamic linear models".Atmospheric Research 242(2020).