Autor según el artículo: Rovira, Joaquim; Domingo, Jose L; Schuhmacher, Marta
Departamento: Enginyeria Química Ciències Mèdiques Bàsiques
Autor/es de la URV: Domingo Roig, José Luis / Rovira Solano, Joaquim / Schuhmacher Ansuategui, Marta
Palabras clave: Waste incinerator Temporal variations Risk-assessment Population attributable fraction Petrochemical area Obstructive pulmonary-disease Metals Lung-cancer Global burden Exposure Environmental surveillance Dalys Camp de tarragona county Burden of disease Airq+ model Airq plus model Air quality
Resumen: © 2019 The purpose of this study was to assess the impact to human health of air pollutants, through the integration of different technics: data statistics (spatial and temporal trends), population attributable fraction using AIRQ+ model developed by the WHO, and burden of disease using Disability-Adjusted Life Years (DALYs). The levels of SO2, NO, NO2, O3, H2S, benzene, PM10, PM2.5, CO, benzo(a)pyrene and metals, obtained between 2005 and 2017 from the air quality monitoring network across Camp de Tarragona County, were temporally and spatially determined. Health impacts were evaluated using the AIRQ+ model. Finally, the burden of disease was assessed through the calculation of Years of Lost life (YLL) and Years Lost due to Disability (YLD). In general terms, air quality was good according to European quality standards, but it did not fulfil the WHO guidelines, especially for O3, PM10 and PM2.5. Several decreasing (NO, NO2, SO2, PM10 and benzene) and an increasing (O3) temporal trend were found. Correlation between unemployment rate and air pollutant levels was found, pointing that the economic crisis (2008–2014) was a factor influencing the air pollutant levels. Reduction of air pollutant levels (PM2.5) to WHO guidelines in the Camp de Tarragona County would decrease the adult mortality between 23 and 297 cases per year, which means between 0.5 and 7% of all mortality in the area. In this County, for lung cancer, ischemic heart disease, stroke, and chronic obstructive pulmonary disease due to levels of PM2.5 above the WHO threshold limits, DAYLs were 240 years. This means around 80 DALYs for 100,000 persons every year -between 2005 and 2017. Population attributable fraction (PAF) and burden of disease (DALYs) methodologies are suitable tools for regional and national policymakers, who must take decisions to prevent and to control air pollution and to analyse the cost-effectiveness of interventions.
Áreas temáticas: Zootecnia / recursos pesqueiros Waste management and disposal Saúde coletiva Química Pollution Odontología Nutrição Medicina veterinaria Medicina iii Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Interdisciplinar Historia Geografía Geociências Farmacia Environmental sciences Environmental engineering Environmental chemistry Ensino Engenharias iii Engenharias ii Engenharias i Enfermagem Direito Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Biotecnología Biodiversidade Astronomia / física
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 00489697
Direcció de correo del autor: joaquim.rovira@urv.cat joseluis.domingo@urv.cat marta.schuhmacher@urv.cat
Identificador del autor: 0000-0003-4399-6138 0000-0001-6647-9470 0000-0003-4381-2490
Fecha de alta del registro: 2024-10-12
Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
Enlace a la fuente original: https://www.sciencedirect.com/science/article/abs/pii/S0048969719355329?via%3Dihub
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Science Of The Total Environment. 703 (135538): 135538-135538
Referencia de l'ítem segons les normes APA: Rovira, Joaquim; Domingo, Jose L; Schuhmacher, Marta (2020). Air quality, health impacts and burden of disease due to air pollution (PM10, PM2.5, NO2 and O3): Application of AirQ+ model to the Camp de Tarragona County (Catalonia, Spain). Science Of The Total Environment, 703(135538), 135538-135538. DOI: 10.1016/j.scitotenv.2019.135538
DOI del artículo: 10.1016/j.scitotenv.2019.135538
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2020
Tipo de publicación: Journal Publications
Repositori URV