Spatio-temporal modelling for assessing air pollution in Santiago de Chile

Orietta Nicolis, Christian Camaño, Julio C. Marln, Sujit K. Sahu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.)

Original languageEnglish
Title of host publicationICNPAA 2016 World Congress
Subtitle of host publication11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences
EditorsSeenith Sivasundaram
PublisherAmerican Institute of Physics Inc.
Volume1798
ISBN (Electronic)9780735414648
DOIs
Publication statusPublished - 27 Jan 2017
Event11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2016 - La Rochelle, France
Duration: 4 Jul 20168 Jul 2016

Conference

Conference11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, ICNPAA 2016
Country/TerritoryFrance
CityLa Rochelle
Period4/07/168/07/16

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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