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dc.contributor.authorMarchant-Fuentes, Carolina
dc.contributor.authorLeiva, Víctor
dc.contributor.authorChristakos, George
dc.contributor.authorCavieres, M. Fernanda
dc.date.accessioned2019-12-03T20:40:27Z
dc.date.available2019-12-03T20:40:27Z
dc.date.issued2019
dc.identifier.urihttp://repositorio.ucm.cl/handle/ucm/2475
dc.description.abstractParticulate matter (PM) pollution is a serious environmental problem. Santiago of Chile is one of the most polluted cities in the world in terms of PM2.5 and PM10. Monitoring of environmental risk is useful for detecting and preventing adverse effects on human health in highly polluted cities. In this paper, we propose a methodology for monitoring PM pollution in Santiago based on bivariate quality control charts and an asymmetric distribution. A simulation study is carried out to evaluate performance of the proposed methodology. A case study with PM pollution real‐world data from Santiago is provided, which shows that the methodology is suitable to alert early episodes of extreme air pollution. The results are in agreement with the critical episodes reported with the current model used by the Chilean health authority.es_CL
dc.language.isoenes_CL
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/*
dc.sourceEnvironmetrics, 30(5), e2551es_CL
dc.subjectAir pollutiones_CL
dc.subjectBivariate nonnormal distributionses_CL
dc.subjectBootstrappinges_CL
dc.subjectHotelling statistices_CL
dc.subjectR softwarees_CL
dc.subjectProcess controles_CL
dc.titleMonitoring urban environmental pollution by bivariate control charts: New methodology and case study in Santiago, Chilees_CL
dc.typeArticlees_CL
dc.ucm.facultadFacultad de Ciencias Básicases_CL
dc.ucm.indexacionScopuses_CL
dc.ucm.indexacionIsies_CL
dc.ucm.urisibib2.ucm.cl:2048/login?url=https://onlinelibrary.wiley.com/doi/10.1002/env.2551es_CL
dc.ucm.doidoi.org/10.1002/env.2551es_CL


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Atribución-NoComercial-SinDerivadas 3.0 Chile
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