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Citizens' Surveillance Micro-network for the Mapping of PM2.5 in the City of Concón, Chile

Category: Urban Air Quality

Article In Press
DOI: 10.4209/aaqr.2019.04.0179
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To cite this article:
Gramsch, E., Morales, L., Baeza, M., Ayala, C., Soto, C., Neira, J., Pérez, P. and Moreno, F. (2020). Citizens' Surveillance Micro-network for the Mapping of PM2.5 in the City of Concón, Chile. Aerosol Air Qual. Res., doi: 10.4209/aaqr.2019.04.0179.

Ernesto Gramsch 1, Luis Morales2, Marcelo Baeza3, Cristian Ayala1, Cristian Soto1, José Neira2, Patricio Pérez1, Francisco Moreno4,5

  • 1 Physics Department, University of Santiago de Chile, Santiago, Chile
  • 2 Faculty of Agronomic Sciences, University of Chile, Santiago, Chile
  • 3 Enap Aconcagua Refinery, Concón, Chile
  • 4 Ministry of the Environment, Santiago, Chile
  • 5 Mathematics Department, University of Santiago de Chile, Santiago, Chile

Highlights

  • Citizen's surveillance micro-network for mapping PM2.5 in Concón was built.
  • Low cost sensors were built and calibrated with a BAM monitor.
  • Neural-network calibration gave better results than linear calibration
  • Little influence in PM2.5 from an Oil Refinery was observed.
  • At night highest concentrations were seen in city`s downtown.

Abstract

A micro-network of low-cost sensors has been built and deployed in the city of Concón with the purpose of informing the community about the air quality in their neighborhood. Currently, 10 active stations, which are installed in resident-owned houses and public spaces, measure PM10 and PM2.5, rain, temperature, humidity, and wind speed and direction and display this information via a mobile application. The particulate matter is measured with a Dylos monitor, and the collected data has been calibrated using a Beta Attenuation Mass monitor for PM2.5 located in the same city as where the low-cost monitors are deployed. The PM2.5 concentration is obtained through a linear equation that uses small and large particle counts from the Dylos monitor. Additional calibration has been performed using neural networks, resulting in a noticeable improvement. The data also show that calibrations performed in other cities cannot be applied to measurements taken in Concón. As noted in many other studies, the relative humidity strongly influences the particle count. For the months of June, July, and August, the hourly profiles reveal a prominent evening peak in downtown Concón but a less obvious increase at the other sites, indicating that wood burning (or a similar source) mainly occurs in downtown. The nearby oil refinery, Enap, does not seem to increase the concentration of particulate matter on average, but short-term PM2.5 events generated by the refinery have not yet been analyzed.

Keywords

PM2.5 Low cost sensor Micro-network Refinery


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