Evaluating Concentrations of PM10, PM2.5, SO2, NO2, CO, O3, and H2S Emitted by Artisanal Brick Kilns in Juliaca, Peru, Using a Low-Cost Sensor Network and AERMOD Model

The aim of this study was to rigorously quantify and analyse the concentrations of atmospheric pollutants (PM10, PM2.5, SO2, NO2, CO, H2S, and O3) emitted by artisanal brick kilns in Juliaca City, Peru. The AERMOD dispersion model and a network of low-cost sensors (LCSs) were employed to characterise air quality at specific receptor sites. A georeferenced inventory of kiln operations was created to determine their parameters and operational intensity, providing a foundation for estimating emission factors and rates. Data were obtained from the United States Environmental Protection Agency (EPA) and supplemented with locally gathered meteorological records, which were processed for integration into the AERMOD model. The findings revealed that brick kilns are a principal source of atmospheric pollution in the region, with carbon monoxide (CO) emissions being especially pronounced. The LCSs facilitated the identification of pollutant concentrations at various locations and enabled the quantification of the specific contribution of brick production to ambient aerosol levels. Comparative assessments determined that these sources account for approximately 85% of CO emissions within the study area, underscoring a significant adverse impact on air quality and public health. Background pollutant levels, emission rates, spatial distributions, and concentration patterns were analysed within the assessment zones, resulting in solid model performance. These results provide a sound scientific basis for the formulation and implementation of targeted environmental mitigation policies in urban areas and the outskirts of Juliaca.

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Publication Details

Journal
Gases
Published
2025-10-31
DOI
https://doi.org/10.3390/gases5040024
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
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article

Evaluating Concentrations of PM10, PM2.5, SO2, NO2, CO, O3, and H2S Emitted by Artisanal Brick Kilns in Juliaca, Peru, Using a Low-Cost Sensor Network and AERMOD Model

Milton Edward Humpiri Flores, José Luis Pineda Tapia, Deyna Lozano Ccopa, Kevin Fidel Quispe-Monroy et al.
Gases
Air Quality Monitoring and Forecasting
article

Evaluating Concentrations of PM10, PM2.5, SO2, NO2, CO, O3, and H2S Emitted by Artisanal Brick Kilns in Juliaca, Peru, Using a Low-Cost Sensor Network and AERMOD Model

Milton Edward Humpiri Flores, José Luis Pineda Tapia, Deyna Lozano Ccopa, Kevin Fidel Quispe-Monroy, Edwin Huayhua-Huamaní, Robinson Chaiña-Sucasaca, Milagros Lupe Salas-Huahuachampi, Dennis Enrique Mamani-Vilca, Cristian Abraham Cutipa-Flores
article en

Abstract

The aim of this study was to rigorously quantify and analyse the concentrations of atmospheric pollutants (PM10, PM2.5, SO2, NO2, CO, H2S, and O3) emitted by artisanal brick kilns in Juliaca City, Peru. The AERMOD dispersion model and a network of low-cost sensors (LCSs) were employed to characterise air quality at specific receptor sites. A georeferenced inventory of kiln operations was created to determine their parameters and operational intensity, providing a foundation for estimating emission factors and rates. Data were obtained from the United States Environmental Protection Agency (EPA) and supplemented with locally gathered meteorological records, which were processed for integration into the AERMOD model. The findings revealed that brick kilns are a principal source of atmospheric pollution in the region, with carbon monoxide (CO) emissions being especially pronounced. The LCSs facilitated the identification of pollutant concentrations at various locations and enabled the quantification of the specific contribution of brick production to ambient aerosol levels. Comparative assessments determined that these sources account for approximately 85% of CO emissions within the study area, underscoring a significant adverse impact on air quality and public health. Background pollutant levels, emission rates, spatial distributions, and concentration patterns were analysed within the assessment zones, resulting in solid model performance. These results provide a sound scientific basis for the formulation and implementation of targeted environmental mitigation policies in urban areas and the outskirts of Juliaca.

GasesVol. 5(4)
Universidad Andina Néstor Cáceres Velásquez (PE), National University of Engineering (PE)
Openalex Percentile: Top 70%
Air Quality Monitoring and Forecasting
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