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Immission levels and identification of sulfur dioxide sources in La Oroya city, Peruvian Andes
La Oroya is a city in the Peruvian Andes that has suffered a serious deterioration in its air quality, especially due to the high rate of sulfur dioxide (SO(2)) emissions, which underlines the importance of knowing its sources of contamination and variation over the years. In this sense, this study...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361941/ https://www.ncbi.nlm.nih.gov/pubmed/35966339 http://dx.doi.org/10.1007/s10668-022-02592-0 |
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author | Espinoza-Guillen, José Abel Alderete-Malpartida, Marleni Beatriz Cañari-Cancho, Jimmy Hans Pando-Huerta, Dennis Libio Vargas-La Rosa, David Fernando Bernabé-Meza, Sadyth Jhocelú |
author_facet | Espinoza-Guillen, José Abel Alderete-Malpartida, Marleni Beatriz Cañari-Cancho, Jimmy Hans Pando-Huerta, Dennis Libio Vargas-La Rosa, David Fernando Bernabé-Meza, Sadyth Jhocelú |
author_sort | Espinoza-Guillen, José Abel |
collection | PubMed |
description | La Oroya is a city in the Peruvian Andes that has suffered a serious deterioration in its air quality, especially due to the high rate of sulfur dioxide (SO(2)) emissions, which underlines the importance of knowing its sources of contamination and variation over the years. In this sense, this study aimed to evaluate the immission levels and determine the sources of SO(2) contamination in La Oroya. This analysis was performed using the hourly concentration data of SO(2), and meteorological variables (wind speed and direction), which were analyzed for a period of three years (2018–2020). Graphs of time series, wind and pollutant roses, bivariate polar graphs, clustering k-means, nonparametric statistical tests, and the application of the conditional bivariate probability function were performed to analyze the data and identify the emission sources. The mean concentration of SO(2) was 264.2 μg m(−3) for the study period, where 55.66 and 2.37% of the evaluated days exceeded the guideline values recommended by the World Health Organization and the Peruvian Environmental Quality Standard for air for 24 h, respectively. The results showed a defined pattern for the daily and monthly variations, with peaks in the morning hours (0900–1000 h LT) and at the end of the year (December), respectively. The main sources of SO(2) emissions identified were light and heavy vehicles that travel through the Central Highway, the La Oroya Metallurgical Complex, the transit of vehicles within the city, and the diesel–electric locomotives that provide cargo transportation services and tourism passenger transportation. The article attempts to contribute to the development of adequate air quality management policies. |
format | Online Article Text |
id | pubmed-9361941 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-93619412022-08-10 Immission levels and identification of sulfur dioxide sources in La Oroya city, Peruvian Andes Espinoza-Guillen, José Abel Alderete-Malpartida, Marleni Beatriz Cañari-Cancho, Jimmy Hans Pando-Huerta, Dennis Libio Vargas-La Rosa, David Fernando Bernabé-Meza, Sadyth Jhocelú Environ Dev Sustain Article La Oroya is a city in the Peruvian Andes that has suffered a serious deterioration in its air quality, especially due to the high rate of sulfur dioxide (SO(2)) emissions, which underlines the importance of knowing its sources of contamination and variation over the years. In this sense, this study aimed to evaluate the immission levels and determine the sources of SO(2) contamination in La Oroya. This analysis was performed using the hourly concentration data of SO(2), and meteorological variables (wind speed and direction), which were analyzed for a period of three years (2018–2020). Graphs of time series, wind and pollutant roses, bivariate polar graphs, clustering k-means, nonparametric statistical tests, and the application of the conditional bivariate probability function were performed to analyze the data and identify the emission sources. The mean concentration of SO(2) was 264.2 μg m(−3) for the study period, where 55.66 and 2.37% of the evaluated days exceeded the guideline values recommended by the World Health Organization and the Peruvian Environmental Quality Standard for air for 24 h, respectively. The results showed a defined pattern for the daily and monthly variations, with peaks in the morning hours (0900–1000 h LT) and at the end of the year (December), respectively. The main sources of SO(2) emissions identified were light and heavy vehicles that travel through the Central Highway, the La Oroya Metallurgical Complex, the transit of vehicles within the city, and the diesel–electric locomotives that provide cargo transportation services and tourism passenger transportation. The article attempts to contribute to the development of adequate air quality management policies. Springer Netherlands 2022-08-05 /pmc/articles/PMC9361941/ /pubmed/35966339 http://dx.doi.org/10.1007/s10668-022-02592-0 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Espinoza-Guillen, José Abel Alderete-Malpartida, Marleni Beatriz Cañari-Cancho, Jimmy Hans Pando-Huerta, Dennis Libio Vargas-La Rosa, David Fernando Bernabé-Meza, Sadyth Jhocelú Immission levels and identification of sulfur dioxide sources in La Oroya city, Peruvian Andes |
title | Immission levels and identification of sulfur dioxide sources in La Oroya city, Peruvian Andes |
title_full | Immission levels and identification of sulfur dioxide sources in La Oroya city, Peruvian Andes |
title_fullStr | Immission levels and identification of sulfur dioxide sources in La Oroya city, Peruvian Andes |
title_full_unstemmed | Immission levels and identification of sulfur dioxide sources in La Oroya city, Peruvian Andes |
title_short | Immission levels and identification of sulfur dioxide sources in La Oroya city, Peruvian Andes |
title_sort | immission levels and identification of sulfur dioxide sources in la oroya city, peruvian andes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361941/ https://www.ncbi.nlm.nih.gov/pubmed/35966339 http://dx.doi.org/10.1007/s10668-022-02592-0 |
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