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

María Fernanda Cavieres, VICTOR ELISEO LEIVA SANCHEZ, Carolina Marchant, Fernando Rojas

Resultado de la investigación: Capítulo del libro/informe/acta de congresoCapítulorevisión exhaustiva

12 Citas (Scopus)

Resumen

Atmospheric 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.

Idioma originalInglés
Título de la publicación alojadaReviews of Environmental Contamination and Toxicology
EditorialSpringer
Páginas45-67
Número de páginas23
DOI
EstadoPublicada - 2020
Publicado de forma externa

Serie de la publicación

NombreReviews of Environmental Contamination and Toxicology
Volumen250
ISSN (versión impresa)0179-5953
ISSN (versión digital)2197-6554

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