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Spatiotemporal Analysis of Black Carbon Sources: Case of Santiago, Chile, under SARS-CoV-2 Lockdowns
Background: The SARS-CoV-2 pandemic has temporarily decreased black carbon emissions worldwide. The use of multi-wavelength aethalometers provides a quantitative apportionment of black carbon (BC) from fossil fuels (BC(ff)) and wood-burning sources (BC(wb)). However, this apportionment is aggregated...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779851/ https://www.ncbi.nlm.nih.gov/pubmed/36554946 http://dx.doi.org/10.3390/ijerph192417064 |
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author | Adasme, Carla Villalobos, Ana María Jorquera, Héctor |
author_facet | Adasme, Carla Villalobos, Ana María Jorquera, Héctor |
author_sort | Adasme, Carla |
collection | PubMed |
description | Background: The SARS-CoV-2 pandemic has temporarily decreased black carbon emissions worldwide. The use of multi-wavelength aethalometers provides a quantitative apportionment of black carbon (BC) from fossil fuels (BC(ff)) and wood-burning sources (BC(wb)). However, this apportionment is aggregated: local and non-local BC sources are lumped together in the aethalometer results. Methods: We propose a spatiotemporal analysis of BC results along with meteorological data, using a fuzzy clustering approach, to resolve local and non-local BC contributions. We apply this methodology to BC measurements taken at an urban site in Santiago, Chile, from March through December 2020, including lockdown periods of different intensities. Results: BC(ff) accounts for 85% of total BC; there was up to an 80% reduction in total BC during the most restrictive lockdowns (April–June); the reduction was 40–50% in periods with less restrictive lockdowns. The new methodology can apportion BC(ff) and BC(wb) into local and non-local contributions; local traffic (wood burning) sources account for 66% (86%) of BC(ff) (BC(wb)). Conclusions: The intensive lockdowns brought down ambient BC across the city. The proposed fuzzy clustering methodology can resolve local and non-local contributions to BC in urban zones. |
format | Online Article Text |
id | pubmed-9779851 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97798512022-12-23 Spatiotemporal Analysis of Black Carbon Sources: Case of Santiago, Chile, under SARS-CoV-2 Lockdowns Adasme, Carla Villalobos, Ana María Jorquera, Héctor Int J Environ Res Public Health Article Background: The SARS-CoV-2 pandemic has temporarily decreased black carbon emissions worldwide. The use of multi-wavelength aethalometers provides a quantitative apportionment of black carbon (BC) from fossil fuels (BC(ff)) and wood-burning sources (BC(wb)). However, this apportionment is aggregated: local and non-local BC sources are lumped together in the aethalometer results. Methods: We propose a spatiotemporal analysis of BC results along with meteorological data, using a fuzzy clustering approach, to resolve local and non-local BC contributions. We apply this methodology to BC measurements taken at an urban site in Santiago, Chile, from March through December 2020, including lockdown periods of different intensities. Results: BC(ff) accounts for 85% of total BC; there was up to an 80% reduction in total BC during the most restrictive lockdowns (April–June); the reduction was 40–50% in periods with less restrictive lockdowns. The new methodology can apportion BC(ff) and BC(wb) into local and non-local contributions; local traffic (wood burning) sources account for 66% (86%) of BC(ff) (BC(wb)). Conclusions: The intensive lockdowns brought down ambient BC across the city. The proposed fuzzy clustering methodology can resolve local and non-local contributions to BC in urban zones. MDPI 2022-12-19 /pmc/articles/PMC9779851/ /pubmed/36554946 http://dx.doi.org/10.3390/ijerph192417064 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Adasme, Carla Villalobos, Ana María Jorquera, Héctor Spatiotemporal Analysis of Black Carbon Sources: Case of Santiago, Chile, under SARS-CoV-2 Lockdowns |
title | Spatiotemporal Analysis of Black Carbon Sources: Case of Santiago, Chile, under SARS-CoV-2 Lockdowns |
title_full | Spatiotemporal Analysis of Black Carbon Sources: Case of Santiago, Chile, under SARS-CoV-2 Lockdowns |
title_fullStr | Spatiotemporal Analysis of Black Carbon Sources: Case of Santiago, Chile, under SARS-CoV-2 Lockdowns |
title_full_unstemmed | Spatiotemporal Analysis of Black Carbon Sources: Case of Santiago, Chile, under SARS-CoV-2 Lockdowns |
title_short | Spatiotemporal Analysis of Black Carbon Sources: Case of Santiago, Chile, under SARS-CoV-2 Lockdowns |
title_sort | spatiotemporal analysis of black carbon sources: case of santiago, chile, under sars-cov-2 lockdowns |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779851/ https://www.ncbi.nlm.nih.gov/pubmed/36554946 http://dx.doi.org/10.3390/ijerph192417064 |
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