Air quality forecasting for winter-time PM2.5 episodes occurring in multiple cities in central and southern Chile

Pablo E. Saide, Marcelo Mena-Carrasco, Sebastian Tolvett, Pablo Hernandez, Gregory R. Carmichael

Resultado de la investigación: Article

10 Citas (Scopus)

Resumen

Episodic air quality degradation due to particles occurs in multiple cities in central and southern Chile during the austral winter reaching levels up to 300–800 μg/m3 hourly PM2.5, which can be associated with severe effects on human health. An air quality prediction system is developed to predict such events in near real time up to 3 days in advance for nine cities with regular air quality monitoring: Santiago, Rancagua, Curicó, Talca, Chillan, Los Ángeles, Temuco, Valdivia, and Osorno. The system uses the Weather Research and Forecasting with Chemistry model configured with a nested 2 km grid-spacing domain to predict weather and inert tracers. The tracers are converted to hourly PM2.5 concentrations using an observationally based calibration which is substantially less computationally intensive than a full chemistry model. The conversion takes into account processes occurring in these cities, including higher likelihood of episode occurrence during weekends and during colder days, the latter related to increased wood-burning-stove activity for heating. The system is calibrated and evaluated for April–August 2014 where it has an overall skill of 53–72% of episodes accurately forecasted (61–76% for the best initialization) which is better than persistence for most stations. Forecasts one, two, and three days in advance all have skill in forecasting events but often present large variability within them due to different meteorological initializations. The system is being implemented in Chile to assist authority decisions not only to warn the population but also to take contingency-based emission restrictions to try to avoid severe pollution events.

Idioma originalEnglish
Páginas (desde-hasta)558-575
Número de páginas18
PublicaciónJournal of Geophysical Research
Volumen121
N.º1
DOI
EstadoPublished - 16 ene 2016

Huella dactilar

air quality
Chile
Air quality
forecasting
winter
weather
tracers
tracer techniques
chemistry
tracer
contingency
Stoves
pollution
Particles (particulate matter)
health
human health
constrictions
Wood
spacing
Pollution

ASJC Scopus subject areas

  • Geophysics
  • Oceanography
  • Forestry
  • Aquatic Science
  • Ecology
  • Condensed Matter Physics
  • Water Science and Technology
  • Soil Science
  • Geochemistry and Petrology
  • Earth-Surface Processes
  • Physical and Theoretical Chemistry
  • Polymers and Plastics
  • Atmospheric Science
  • Earth and Planetary Sciences (miscellaneous)
  • Space and Planetary Science
  • Materials Chemistry
  • Palaeontology

Citar esto

Saide, Pablo E. ; Mena-Carrasco, Marcelo ; Tolvett, Sebastian ; Hernandez, Pablo ; Carmichael, Gregory R. / Air quality forecasting for winter-time PM2.5 episodes occurring in multiple cities in central and southern Chile. En: Journal of Geophysical Research. 2016 ; Vol. 121, N.º 1. pp. 558-575.
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abstract = "Episodic air quality degradation due to particles occurs in multiple cities in central and southern Chile during the austral winter reaching levels up to 300–800 μg/m3 hourly PM2.5, which can be associated with severe effects on human health. An air quality prediction system is developed to predict such events in near real time up to 3 days in advance for nine cities with regular air quality monitoring: Santiago, Rancagua, Curic{\'o}, Talca, Chillan, Los {\'A}ngeles, Temuco, Valdivia, and Osorno. The system uses the Weather Research and Forecasting with Chemistry model configured with a nested 2 km grid-spacing domain to predict weather and inert tracers. The tracers are converted to hourly PM2.5 concentrations using an observationally based calibration which is substantially less computationally intensive than a full chemistry model. The conversion takes into account processes occurring in these cities, including higher likelihood of episode occurrence during weekends and during colder days, the latter related to increased wood-burning-stove activity for heating. The system is calibrated and evaluated for April–August 2014 where it has an overall skill of 53–72{\%} of episodes accurately forecasted (61–76{\%} for the best initialization) which is better than persistence for most stations. Forecasts one, two, and three days in advance all have skill in forecasting events but often present large variability within them due to different meteorological initializations. The system is being implemented in Chile to assist authority decisions not only to warn the population but also to take contingency-based emission restrictions to try to avoid severe pollution events.",
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Air quality forecasting for winter-time PM2.5 episodes occurring in multiple cities in central and southern Chile. / Saide, Pablo E.; Mena-Carrasco, Marcelo; Tolvett, Sebastian; Hernandez, Pablo; Carmichael, Gregory R.

En: Journal of Geophysical Research, Vol. 121, N.º 1, 16.01.2016, p. 558-575.

Resultado de la investigación: Article

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T1 - Air quality forecasting for winter-time PM2.5 episodes occurring in multiple cities in central and southern Chile

AU - Saide, Pablo E.

AU - Mena-Carrasco, Marcelo

AU - Tolvett, Sebastian

AU - Hernandez, Pablo

AU - Carmichael, Gregory R.

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