How much fire-sourced air pollution were you exposed to between 2010 and 2019?

Publicly released:
Australia; International; VIC; QLD; TAS
Image by Matthias Fischer from Pixabay
Image by Matthias Fischer from Pixabay

Between 2010 and 2019, the average person globally had 9.9 days of exposure to fire-sourced air pollution, according to Aussie and international research. The team estimated global daily air pollution from landscape fires using machine learning and computer models between 2000 and 2019, finding that between 2010 and 2019 there was a slight increase in fine particulate matter compared with the 2000-2009 period, with Central Africa, Southeast Asia, South America, and Siberia seeing the higher fire-based pollution concentrations. The team say that concentrations of fire pollution were about four times higher in low-income countries than in high-income countries. They expect the increasing exposure to fire-sourced air pollution will continue, as projections suggest that climate change will increase wildfire frequency and intensity, with global fire-sourced air pollution likely to continue to be an increasingly important public health concern in the next decades.

Media release

From:

RESULTS FROM WORLD FIRST STUDY OF TWO DECADES OF GLOBAL FIRE POLLUTION

· each person in the world is exposed to, on average, 9.9 days of exposure to health impacting landscape fire air pollution per year.

· over 2 billion people are exposed to at least one day of this potentially health-impacting environmental hazard annually

· this is an increase of 6.8 per cent in the last ten years

· concentrations of fire-sourced PM2.5 and ozone are four times higher in low income countries vs high income

· Central Africa have the highest levels of fire-sourced PM 2.5, followed by Southeast Asia, South America and North Asia (Siberia)

· there are regional hotspots of high levels of fire relate PM2.5 pollution including north-western Australia, and western United States and Canada

· there is increasing fire related pollution trends in central and northern Africa, North America, Southeast Asia, Amazon areas in South America, Siberia and northern India

· there are decreasing trends in fire related pollution in southern parts of Africa and South America, northwest China and Japan.

RESULTS FROM WORLD FIRST STUDY OF TWO DECADES OF GLOBAL FIRE POLLUTION

The world’s first study of the increase in pollution from landscape fires across the globe over the past two decades reveals that over 2 billion people are exposed to at least one day of potentially health-impacting environmental hazard annually – a figure that has increased by 6.8 per cent in the last ten years.

The study highlights the severity and scale of the landscape fire-sourced air pollution, its increased impact on the world’s population and associated rise in public health risk. Exposure to fire-sourced air pollution has many adverse health impacts, including increased mortality and morbidity and a global worsening of cardiorespiratory conditions and mental health.  

The study, published today (20 September, London and NYC; 21 September, Australia) in Nature led by Australian scientists, estimated the global daily air pollution from all fires from 2000 to 2019 – finding that 2.18 billion people were exposed to at least one day of substantial landscape fire air pollution in each year, with each person in the world having on average 9.9 days of exposure per year, an increase of 2.1 per cent in the last decade. It also found that exposure levels in low-income countries were about four-fold higher than in high income countries.

Led by Professors Yuming Guo and Shanshan Li, from Monash University’s School of Public Health and Preventive Medicine, the study also found that the exposure levels of fire-sourced PM2.5 were particularly high in Central Africa, Southeast Asia, South America and Siberia. The study also looked at global landscape fire-sourced ozone, an important fire-related pollutant has only been previously estimated for United States.

In the study, landscape fires refer to any fires burning in natural and cultural landscapes, e.g. natural and planted forest, shrub, grass, pastures, agricultural lands and peri-urban areas. The landscape fires are dominated by wildfires (defined as uncontrolled or unplanned fires burning in wildland vegetation) according to the contributions to PM2.5 emission shown in the study, but they also include human planned or controlled fires (e.g., prescribed burns, agricultural fires).

The comprehensive assessment of the global population exposures to fire-sourced PM2.5 and ozone during 2000-2019 was calculated using a machine learning approach with inputs from chemical transport models, ground-based monitoring stations, and gridded weather data.

The recent pollution from the Canadian wildfires that spread smoke across North America highlighted the increase in severity and frequency of landscape fires due to climate change. According to Professor Guo, no study to date has looked at the impacts of landscape fires on air quality for such a long period at the global scale. Wildfires often impact remote areas where there are few or no air quality monitoring stations. In addition, in many low-income countries, there are no air quality monitoring stations even in urban areas. This study addressed this significant data gap regarding the air quality impacts of the landscape fires.

“The exposure to air pollution caused by landscape fire smoke travelling hundreds and sometimes even thousands of kilometres can affect much larger populations, and cause much larger public health risks,” he said.

“Mapping and tracking the population exposure to landscape fire-sourced air pollution are essential for monitoring and managing its health impacts, implementing targeted prevention and interventions, and strengthening arguments for mitigation of climate change.”

Journal/
conference:
Nature
Research:Paper
Organisation/s: Monash University, Queensland University of Technology (QUT), Menzies Institute for Medical Research, University of Tasmania
Funder: This study was supported by the Australian Research Council (grant no. DP210102076) and the Australian National Health and Medical Research Council (grant no. GNT2000581). Y.G. was supported by a Career Development Fellowship (grant no. GNT1163693) and a Leader Fellowship (grant no. GNT2008813) from the Australian National Health and Medical Research Council. S.L. was supported by an Emerging Leader Fellowship from the Australian National Health and Medical Research Council (grant no. GNT2009866). R.X. was supported by Monash Faculty of Medicine Nursing and Health Science (FMNHS) Bridging Postdoctoral Fellowships 2022. X.Y. was supported by Jiangsu Science Fund for Distinguished Young Scholars (grant no. BK20200040). T.Y., P.Y. and Y.W. were supported by the China Scholarship Council (grant nos 201906320051, 201906210065 and 202006010044, respectively). Z.Y. and W.Y. were supported by the Monash Graduate Scholarship and the Monash International Tuition Scholarship. We thank G. Chen for assistance in GEOS-Chem data preparation. We thank A. Haines, A. Woodward and K. L. Ebi for their comments and suggestions. The funding bodies did not play any role in study design, data collection, data analyses, results interpretation or writing of this manuscript.
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