A Methodology for Data-Driven Decision-Making in the Monitoring of Particulate Matter Environmental Contamination in Santiago of Chile

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dc.contributor.authorCavieres, María Fernanda
dc.contributor.authorLeiva, Víctor
dc.contributor.authorMarchant, Carolina
dc.contributor.authorRojas, Fernando
dc.date.accessioned2022-03-17T13:56:46Z
dc.date.available2022-03-17T13:56:46Z
dc.date.issued2020
dc.description.abstractAtmospheric pollution derives mainly from anthropogenic activities that use combustion and may lead to adverse effects in exposed populations. It is generally accepted that air contamination causes cardiovascular and pulmonary morbidity in addition to increased mortality after exposure, but other epidemiological associations have also been described, including cancer as well as reproductive and immunological toxicity. Thus the concentration of chemicals in the air must be controlled. We propose that monitoring of air quality may be achieved by employing data analytics to generate information within the context of data-driven decision making to prevent and/or adequately alert the population about possible critical episodes of air contamination. In this paper, we propose a methodology for monitoring particulate matter pollution in Santiago of Chile which is based on bivariate control charts with heavy-tailed asymmetric distributions. This methodology is useful for monitoring environmental risk when the particulate matter concentrations follow bivariate Birnbaum-Saunders or Birnbaum-Saunders-t-Student distributions. A case study with real particulate matter pollution 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.en_ES
dc.facultadFacultad de Farmaciaen_ES
dc.identifier.doi10.1007/398_2020_41
dc.identifier.urihttp://repositoriobibliotecas.uv.cl/handle/uvscl/3861
dc.language.isoenen_ES
dc.publisherSpringer International Publishingen_ES
dc.rights© Springer Nature Switzerland AG 2020en_ES
dc.sourceReviews of Environmental Contamination and Toxicologyen_ES
dc.subjectAIR CONTAMINATIONen_ES
dc.subjectAIR POLLUTIONen_ES
dc.subjectAIR QUALITYen_ES
dc.subjectAIR QUALITY MONITORINGen_ES
dc.subjectASYMMETRIC DISTRIBUTIONen_ES
dc.subjectBIVARIATE QUALITY CONTROL CHARTSen_ES
dc.subjectDATA-DRIVEN DECISION MAKINGen_ES
dc.subjectPARTICULATE MATTERen_ES
dc.subjectPREDICTIVE MODELSen_ES
dc.subjectSANTIAGO CHILEen_ES
dc.titleA Methodology for Data-Driven Decision-Making in the Monitoring of Particulate Matter Environmental Contamination in Santiago of Chileen_ES
dc.typeCapitulo de libroen_ES
uv.catalogadorRCR DIBRAen_ES

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