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Estimation of Biomass Burning Influence on Air Pollution around Beijing from an Aerosol Retrieval Model
We investigate heavy haze episodes (with dense concentrations of atmospheric aerosols) occurring around Beijing in June, when serious air pollution was detected by both satellite and ground measurements. Aerosol retrieval is achieved by radiative transfer simulation in an Earth atmosphere model. We...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4163345/ https://www.ncbi.nlm.nih.gov/pubmed/25250383 http://dx.doi.org/10.1155/2014/649648 |
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author | Mukai, Sonoyo Yasumoto, Masayoshi Nakata, Makiko |
author_facet | Mukai, Sonoyo Yasumoto, Masayoshi Nakata, Makiko |
author_sort | Mukai, Sonoyo |
collection | PubMed |
description | We investigate heavy haze episodes (with dense concentrations of atmospheric aerosols) occurring around Beijing in June, when serious air pollution was detected by both satellite and ground measurements. Aerosol retrieval is achieved by radiative transfer simulation in an Earth atmosphere model. We solve the radiative transfer problem in the case of haze episodes by successive order of scattering. We conclude that air pollution around Beijing in June is mainly due to increased emissions of anthropogenic aerosols and that carbonaceous aerosols from agriculture biomass burning in Southeast Asia also contribute to pollution. |
format | Online Article Text |
id | pubmed-4163345 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-41633452014-09-23 Estimation of Biomass Burning Influence on Air Pollution around Beijing from an Aerosol Retrieval Model Mukai, Sonoyo Yasumoto, Masayoshi Nakata, Makiko ScientificWorldJournal Research Article We investigate heavy haze episodes (with dense concentrations of atmospheric aerosols) occurring around Beijing in June, when serious air pollution was detected by both satellite and ground measurements. Aerosol retrieval is achieved by radiative transfer simulation in an Earth atmosphere model. We solve the radiative transfer problem in the case of haze episodes by successive order of scattering. We conclude that air pollution around Beijing in June is mainly due to increased emissions of anthropogenic aerosols and that carbonaceous aerosols from agriculture biomass burning in Southeast Asia also contribute to pollution. Hindawi Publishing Corporation 2014 2014-08-27 /pmc/articles/PMC4163345/ /pubmed/25250383 http://dx.doi.org/10.1155/2014/649648 Text en Copyright © 2014 Sonoyo Mukai et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Mukai, Sonoyo Yasumoto, Masayoshi Nakata, Makiko Estimation of Biomass Burning Influence on Air Pollution around Beijing from an Aerosol Retrieval Model |
title | Estimation of Biomass Burning Influence on Air Pollution around Beijing from an Aerosol Retrieval Model |
title_full | Estimation of Biomass Burning Influence on Air Pollution around Beijing from an Aerosol Retrieval Model |
title_fullStr | Estimation of Biomass Burning Influence on Air Pollution around Beijing from an Aerosol Retrieval Model |
title_full_unstemmed | Estimation of Biomass Burning Influence on Air Pollution around Beijing from an Aerosol Retrieval Model |
title_short | Estimation of Biomass Burning Influence on Air Pollution around Beijing from an Aerosol Retrieval Model |
title_sort | estimation of biomass burning influence on air pollution around beijing from an aerosol retrieval model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4163345/ https://www.ncbi.nlm.nih.gov/pubmed/25250383 http://dx.doi.org/10.1155/2014/649648 |
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