Spatiotemporal Analysis of Black Carbon Sources: Case of Santiago, Chile, under SARS-CoV-2 Lockdowns
Autor: | Carla Adasme, Ana María Villalobos, Héctor Jorquera |
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Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: |
Air Pollutants
black carbon aethalometer model spatiotemporal patterns fuzzy clustering FUSTA SARS-CoV-2 Health Toxicology and Mutagenesis Public Health Environmental and Occupational Health COVID-19 Respiratory Aerosols and Droplets Carbon Spatio-Temporal Analysis Soot Communicable Disease Control Humans Particulate Matter Chile Environmental Monitoring |
Zdroj: | International Journal of Environmental Research and Public Health; Volume 19; Issue 24; Pages: 17064 |
ISSN: | 1660-4601 |
DOI: | 10.3390/ijerph192417064 |
Popis: | 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 (BCff) and wood-burning sources (BCwb). 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: BCff 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 BCff and BCwb into local and non-local contributions; local traffic (wood burning) sources account for 66% (86%) of BCff (BCwb). 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. |
Databáze: | OpenAIRE |
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