Articles | Volume 18, issue 9
https://doi.org/10.5194/acp-18-6585-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-18-6585-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 May 2018
Research article |
| 08 May 2018
Meteorological controls on atmospheric particulate pollution during hazard reduction burns
Giovanni Di Virgilio
CORRESPONDING AUTHOR
Climate Change Research Centre, University of New South Wales, Sydney,
2052, Australia
Melissa Anne Hart
Climate Change Research Centre, University of New South Wales, Sydney,
2052, Australia
Australian Research Council Centre of Excellence for Climate System
Science, University of New South Wales, Sydney, 2052, Australia
Ningbo Jiang
New South Wales Office of Environment and Heritage, Sydney, 2000,
Australia
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Cited
17 citations as recorded by crossref.
- Two decades of trends in urban particulate matter concentrations across Australia A. de Jesus et al. 10.1016/j.envres.2020.110021
- Comparing the height and area of wild and prescribed fire particle plumes in south-east Australia using weather radar O. Price et al. 10.1071/WF17166
- Spatiotemporal correlation of urban pollutants by long-term measurements on a mobile observation platform S. Crocchianti et al. 10.1016/j.envpol.2020.115645
- The influence of regional wind patterns on air quality during forest fires near Sydney, Australia M. Storey et al. 10.1016/j.scitotenv.2023.167335
- Prediction of air quality in Sydney, Australia as a function of forest fire load and weather using Bayesian statistics M. Storey et al. 10.1371/journal.pone.0272774
- Climate Change Significantly Alters Future Wildfire Mitigation Opportunities in Southeastern Australia G. Di Virgilio et al. 10.1029/2020GL088893
- Statistical modelling of air quality impacts from individual forest fires in New South Wales, Australia M. Storey & O. Price 10.5194/nhess-22-4039-2022
- A Clean Air Plan for Sydney: An Overview of the Special Issue on Air Quality in New South Wales C. Paton-Walsh et al. 10.3390/atmos10120774
- Drivers of long-distance spotting during wildfires in south-eastern Australia M. Storey et al. 10.1071/WF19124
- Projected Aerosol Changes Driven by Emissions and Climate Change Using a Machine Learning Method H. Li et al. 10.1021/acs.est.1c04380
- Smoke Patterns around Prescribed Fires in Australian Eucalypt Forests, as Measured by Low-Cost Particulate Monitors O. Price & H. Forehead 10.3390/atmos12111389
- Barriers to Prescribed Fire in the US Great Plains, Part I: Systematic Review of Socio-Ecological Research A. Clark et al. 10.3390/land11091521
- Wildfires Impact Assessment on PM Levels Using Generalized Additive Mixed Models G. Leone et al. 10.3390/atmos14020231
- Particulate Levels Underneath Landscape Fire Smoke Plumes in the Sydney Region of Australia O. Price et al. 10.3390/fire6030086
- Estimating particulate matter (PM) concentrations from a meteorological index for data-scarce regions: A pilot study A. de Lange et al. 10.1016/j.apr.2019.05.004
- Evaluation of Regional Air Quality Models over Sydney and Australia: Part 1—Meteorological Model Comparison K. Monk et al. 10.3390/atmos10070374
- Air quality impacts of the 2019–2020 Black Summer wildfires on Australian schools G. Di Virgilio et al. 10.1016/j.atmosenv.2021.118450
17 citations as recorded by crossref.
- Two decades of trends in urban particulate matter concentrations across Australia A. de Jesus et al. 10.1016/j.envres.2020.110021
- Comparing the height and area of wild and prescribed fire particle plumes in south-east Australia using weather radar O. Price et al. 10.1071/WF17166
- Spatiotemporal correlation of urban pollutants by long-term measurements on a mobile observation platform S. Crocchianti et al. 10.1016/j.envpol.2020.115645
- The influence of regional wind patterns on air quality during forest fires near Sydney, Australia M. Storey et al. 10.1016/j.scitotenv.2023.167335
- Prediction of air quality in Sydney, Australia as a function of forest fire load and weather using Bayesian statistics M. Storey et al. 10.1371/journal.pone.0272774
- Climate Change Significantly Alters Future Wildfire Mitigation Opportunities in Southeastern Australia G. Di Virgilio et al. 10.1029/2020GL088893
- Statistical modelling of air quality impacts from individual forest fires in New South Wales, Australia M. Storey & O. Price 10.5194/nhess-22-4039-2022
- A Clean Air Plan for Sydney: An Overview of the Special Issue on Air Quality in New South Wales C. Paton-Walsh et al. 10.3390/atmos10120774
- Drivers of long-distance spotting during wildfires in south-eastern Australia M. Storey et al. 10.1071/WF19124
- Projected Aerosol Changes Driven by Emissions and Climate Change Using a Machine Learning Method H. Li et al. 10.1021/acs.est.1c04380
- Smoke Patterns around Prescribed Fires in Australian Eucalypt Forests, as Measured by Low-Cost Particulate Monitors O. Price & H. Forehead 10.3390/atmos12111389
- Barriers to Prescribed Fire in the US Great Plains, Part I: Systematic Review of Socio-Ecological Research A. Clark et al. 10.3390/land11091521
- Wildfires Impact Assessment on PM Levels Using Generalized Additive Mixed Models G. Leone et al. 10.3390/atmos14020231
- Particulate Levels Underneath Landscape Fire Smoke Plumes in the Sydney Region of Australia O. Price et al. 10.3390/fire6030086
- Estimating particulate matter (PM) concentrations from a meteorological index for data-scarce regions: A pilot study A. de Lange et al. 10.1016/j.apr.2019.05.004
- Evaluation of Regional Air Quality Models over Sydney and Australia: Part 1—Meteorological Model Comparison K. Monk et al. 10.3390/atmos10070374
- Air quality impacts of the 2019–2020 Black Summer wildfires on Australian schools G. Di Virgilio et al. 10.1016/j.atmosenv.2021.118450
Latest update: 07 May 2024
Short summary
Hazard reduction burns (HRBs) may prevent wildfires, but both generate PM2.5 air pollution. We identify the meteorological factors linked to high PM2.5 pollution & assess how they differ between HRB days with low vs. high PM2.5. Boundary layer, cloud cover, temperature & wind speed strongly influence PM2.5, with these factors being more variable & higher in magnitude during mornings & evenings of HRB days when PM2.5 remains low, indicating how HRB timing can be altered to reduce air pollution.
Hazard reduction burns (HRBs) may prevent wildfires, but both generate PM2.5 air pollution. We...
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