Análisis de series de tiempo para concentraciones de PM10: influencia de la cobertura superficial urbana


Authors

  • Carlos Zafra Mejía Universidad Distrital Francisco José de Caldas (Colombia)
  • Juan Alarcón Hincapié Universidad Distrital Francisco José de Caldas (Colombia)
  • Lena Echeverry Prieto Universidad Distrital Francisco José de Caldas (Colombia)

DOI:

https://doi.org/10.22517/23447214.18321

Keywords:

ARIMA, Bogotá, calidad del aire, cobertura superficial, series de tiempo, PM10.

Abstract

El incremento de enfermedades respiratorias en áreas urbanas está relacionado con el incremento del material particulado atmosférico. Este artículo presenta un análisis temporal diario mediante modelos ARIMA de la influencia de la cobertura superficial sobre las concentraciones de PM10 en la ciudad de Bogotá, Colombia. La investigación se desarrolló a partir de los registros (años 2007-2012) de seis estaciones automáticas de monitoreo. Los modelos ARIMA evidenciaron una mayor persistencia de PM10 (2 días) en áreas con cobertura vegetada. Sin embargo, las áreas urbanas con cobertura vegetada registraron menores concentraciones diarias de PM10 (-42.7%) en comparación con áreas de cobertura impermeable.

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Author Biographies

Carlos Zafra Mejía, Universidad Distrital Francisco José de Caldas (Colombia)

PhD. en Ingeniería Ambiental, Facultad de Medio Ambiente y Recursos Naturales, Universidad Distrital F.J.C.

Juan Alarcón Hincapié, Universidad Distrital Francisco José de Caldas (Colombia)

PhD. en Geografía, Facultad de Medio Ambiente y Recursos Naturales, Universidad Distrital F.J.C.

Lena Echeverry Prieto, Universidad Distrital Francisco José de Caldas (Colombia)

M.Sc. en Ciencias, Facultad de Medio Ambiente y Recursos Naturales, Universidad Distrital F.J.C.

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Published

2019-03-30

How to Cite

Zafra Mejía, C., Alarcón Hincapié, J., & Echeverry Prieto, L. (2019). Análisis de series de tiempo para concentraciones de PM10: influencia de la cobertura superficial urbana. Scientia Et Technica, 24(1), 146–153. https://doi.org/10.22517/23447214.18321

Issue

Vol. 24 No. 1 (2019)

Section

Ciencias Ambientales

License

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