@inproceedings{904f5f34f16242cab477ceec460d0007,
title = "Spatio-temporal modelling for assessing air pollution in Santiago de Chile",
abstract = "In this work, we propose a space-time approach for studying the PM2.5 concentration in the city of Santiago de Chile. In particular, we apply the autoregressive hierarchical model proposed by [1] using the PM2.5 observations collected by a monitoring network as a response variable and numerical weather forecasts from the Weather Research and Forecasting (WRF) model as covariate together with spatial and temporal (periodic) components. The approach is able to provide short-term spatio-temporal predictions of PM2.5 concentrations on a fine spatial grid (at 1km × 1km horizontal resolution.)",
author = "Orietta Nicolis and Christian Cama{\~n}o and Marln, {Julio C.} and Sahu, {Sujit K.}",
note = "Publisher Copyright: {\textcopyright} 2017 Author(s).; 11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2016 ; Conference date: 04-07-2016 Through 08-07-2016",
year = "2017",
month = jan,
day = "27",
doi = "10.1063/1.4972705",
language = "English",
volume = "1798",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "Seenith Sivasundaram",
booktitle = "ICNPAA 2016 World Congress",
}