Modelling pollutants in real time: Challenges and key components

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   P48I3 In recent years, the community has taken an active role regarding situations or factors that affect its air quality and that of its daily life, especially in those areas close to industrial sites.

   Because residential areas are expanding, until they reach them, the need arises in the industry for agile and dynamic tools to assess this type of risk early. In this context, modeling of atmospheric pollutants in real time emerges as a tool with the ability to quantify the concentration levels of pollutants in the receivers based on real-time meteorological records.

A. González, R. Guerra, V. Zorich

Envirometrika, Santiago (Chile)

 

   Competing interests: The author has declared that no competing interests exist.

   Academic editor: Carlos N Díaz.

   Content quality: This paper has been peer reviewed by at least two reviewers. See scientific committee here

   Citation: A. González, R. Guerra and V. Zorich, 2019, Modelling contaminants in real time: Challenges and key components, OLORES19 Conference, Santiago, Chile, www.olores.org.

   Copyright: 2020 Olores.org. Open Content Creative Commons licence. It is allowed to download, reuse, reprint, modify, distribute, and/or copy articles in olores.org website, as long as the original authors and source are cited. No permission is required from the authors or the publishers.

   ISBN: pending

   Keyword: Atmospheric Models real time. WRF, Calpuff, Odours, Air Quality.


Abstract

   In recent years, the community has taken an active role regarding situations or factors that affect its air quality and that of its daily life, especially in those areas close to industrial sites. Because residential areas are expanding, until they reach them, the need arises in the industry for agile and dynamic tools to assess this type of risk early. In this context, modeling of atmospheric pollutants in real time emerges as a tool with the ability to quantify the concentration levels of pollutants in the receivers based on real-time meteorological records. The objective of this study is to evaluate the performance that the meteorological base of a real-time modeling system would have when incorporating surface meteorology. The performance of the meteorological base is related to the data quality of the observed stations. This could affect the real-time modeling system where it was found that the variable wind direction, in its zonal and southern components, is of the highest sensitivity.

 

 

 

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