2019‒2020 Australian bushfire air particulate pollution and impact on the South Pacific Ocean
Abstract During late 2019 and early 2020, Australia experienced one of the most active bushfire seasons that advected large emissions over the adjacent ocean. Herein, we present a comprehensive research on mixed atmospheric aerosol particulate pollution emitted by wildfires in the atmosphere and the...
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ftdoajarticles:oai:doaj.org/article:785ceb12cf6d4357ad80d629b5f56bdd 2023-05-15T13:06:41+02:00 2019‒2020 Australian bushfire air particulate pollution and impact on the South Pacific Ocean Mengyu Li Fang Shen Xuerong Sun 2021-06-01T00:00:00Z https://doi.org/10.1038/s41598-021-91547-y https://doaj.org/article/785ceb12cf6d4357ad80d629b5f56bdd EN eng Nature Portfolio https://doi.org/10.1038/s41598-021-91547-y https://doaj.org/toc/2045-2322 doi:10.1038/s41598-021-91547-y 2045-2322 https://doaj.org/article/785ceb12cf6d4357ad80d629b5f56bdd Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021) Medicine R Science Q article 2021 ftdoajarticles https://doi.org/10.1038/s41598-021-91547-y 2022-12-31T05:27:40Z Abstract During late 2019 and early 2020, Australia experienced one of the most active bushfire seasons that advected large emissions over the adjacent ocean. Herein, we present a comprehensive research on mixed atmospheric aerosol particulate pollution emitted by wildfires in the atmosphere and the ocean. Based on a wide range of physical and biochemical data, including the Aerosol Robotic Network, multi-satellite observations, and Argo floats, we investigated the spatio-temporal variations and mixed compositions of aerosol particles, deposition in the coastal waters of eastern Australia and the South Pacific Ocean, and biogeochemical responses in the water column. Four types of wildfire-derived mixed particles were classified by using the optical properties of aerosols into four types, including the background aerosols, mineral dust, wildfire smoke particles, and residual smoke. The coarse particles accounted for more than 60% of the mineral dust on 22 November 2019 in the Tasman Sea; afterwards, during the wildfire smoke episode from December 2019 to January 2020, the particles affected large areas of the atmosphere such as eastern Australia, the South Pacific Ocean, and South America. The maximum value of the aerosol optical depth reached 2.74, and the proportion of fine particles accounted for 98.9% in the smoke episode. Mineral dust and smoke particles from the fire emissions changed the particle composition in the surface ocean. Particle deposition accounted for increases in chlorophyll-a concentration (Chla) standardized anomaly up to maximum of 23.3 with a lag time of less than 8 days. In the vertical direction, float observations showed the impact of exogenous particles on the water column could up to 64.7 m deep, resulting in Chla of 1.85 mg/m3. The high Chla lasted for a minimum period of two months until it returned to normal level. Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Pacific Scientific Reports 11 1 |
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Medicine R Science Q |
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Medicine R Science Q Mengyu Li Fang Shen Xuerong Sun 2019‒2020 Australian bushfire air particulate pollution and impact on the South Pacific Ocean |
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Medicine R Science Q |
description |
Abstract During late 2019 and early 2020, Australia experienced one of the most active bushfire seasons that advected large emissions over the adjacent ocean. Herein, we present a comprehensive research on mixed atmospheric aerosol particulate pollution emitted by wildfires in the atmosphere and the ocean. Based on a wide range of physical and biochemical data, including the Aerosol Robotic Network, multi-satellite observations, and Argo floats, we investigated the spatio-temporal variations and mixed compositions of aerosol particles, deposition in the coastal waters of eastern Australia and the South Pacific Ocean, and biogeochemical responses in the water column. Four types of wildfire-derived mixed particles were classified by using the optical properties of aerosols into four types, including the background aerosols, mineral dust, wildfire smoke particles, and residual smoke. The coarse particles accounted for more than 60% of the mineral dust on 22 November 2019 in the Tasman Sea; afterwards, during the wildfire smoke episode from December 2019 to January 2020, the particles affected large areas of the atmosphere such as eastern Australia, the South Pacific Ocean, and South America. The maximum value of the aerosol optical depth reached 2.74, and the proportion of fine particles accounted for 98.9% in the smoke episode. Mineral dust and smoke particles from the fire emissions changed the particle composition in the surface ocean. Particle deposition accounted for increases in chlorophyll-a concentration (Chla) standardized anomaly up to maximum of 23.3 with a lag time of less than 8 days. In the vertical direction, float observations showed the impact of exogenous particles on the water column could up to 64.7 m deep, resulting in Chla of 1.85 mg/m3. The high Chla lasted for a minimum period of two months until it returned to normal level. |
format |
Article in Journal/Newspaper |
author |
Mengyu Li Fang Shen Xuerong Sun |
author_facet |
Mengyu Li Fang Shen Xuerong Sun |
author_sort |
Mengyu Li |
title |
2019‒2020 Australian bushfire air particulate pollution and impact on the South Pacific Ocean |
title_short |
2019‒2020 Australian bushfire air particulate pollution and impact on the South Pacific Ocean |
title_full |
2019‒2020 Australian bushfire air particulate pollution and impact on the South Pacific Ocean |
title_fullStr |
2019‒2020 Australian bushfire air particulate pollution and impact on the South Pacific Ocean |
title_full_unstemmed |
2019‒2020 Australian bushfire air particulate pollution and impact on the South Pacific Ocean |
title_sort |
2019‒2020 australian bushfire air particulate pollution and impact on the south pacific ocean |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doi.org/10.1038/s41598-021-91547-y https://doaj.org/article/785ceb12cf6d4357ad80d629b5f56bdd |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021) |
op_relation |
https://doi.org/10.1038/s41598-021-91547-y https://doaj.org/toc/2045-2322 doi:10.1038/s41598-021-91547-y 2045-2322 https://doaj.org/article/785ceb12cf6d4357ad80d629b5f56bdd |
op_doi |
https://doi.org/10.1038/s41598-021-91547-y |
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Scientific Reports |
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11 |
container_issue |
1 |
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1766015890615173120 |