Estimación de la fracción inhalada de contaminantes primarios del aire en la ciudad de Medellín

Ana Catalina Jaramillo Rojas, María Victoria Toro Gómez

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

Resumen

Intake fraction was estimated for measured pollutants in Medellín city: suspended particulates (PM10 and PM2.5), carbon monoxide (CO) and nitrogen oxides (NOx). The applicable method for primary pollutants was used, according to the existing air quality data in terms of emissions and concentrations, as a factor that can be used in the evaluation of the impact on human health due to the sources of air pollution. The data of emissions, attributable exposure concentration, amount population and breathing rates were processed for calculation. Given the importance of the spatial and temporal relationship of the variables, all data were from 2015, the last period in which the inventory of atmospheric emissions was updated. Areas of spatial representativeness were considered, obtaining cells with a CSF greater than 0.9 in Politécnico Jaime Isaza Cadavid (MED-PJIC) (PM10 and CO) and Universidad Nacional Núcleo el Volador (MED-UNNV) (PM2.5 and NOx) stations. Yearly averages of the intake fraction were: 475 and 29 ppm for PM10 and CO, respectively, at MED-PJIC sta-tion, and 151 and 64 ppm for PM2.5 and NOx, respectively, at MED-UNNV station. The intake fraction values were analyzed too by weighted respiration rates by age groups, and by hourly, daily, monthly and daily weekday averages of concentration and pollutant emission values.

Título traducido de la contribuciónEstimated of intake fraction of primary air pollutants in Medellín city
Idioma originalEspañol
Páginas (desde-hasta)623-643
Número de páginas21
PublicaciónRevista Internacional de Contaminacion Ambiental
Volumen36
N.º3
DOI
EstadoPublicada - 2020
Publicado de forma externa

Nota bibliográfica

Publisher Copyright:
© 2020, Centro de Ciencias de la Atmosfera, UNAM. All rights reserved.

Palabras clave

  • Environmental impact
  • Exposed population
  • Spatial representativeness

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