Connect
MJA
MJA

Exceedances of national air quality standards for particulate matter in Western Australia: sources and health‐related impacts

Nicolas Borchers Arriagada, Andrew J Palmer, David MJS Bowman and Fay H Johnston
Med J Aust 2020; 213 (6): 280-281. || doi: 10.5694/mja2.50547
Published online: 20 April 2020

Ambient air quality in Australia is regulated by the National Environment Protection Measure (NEPM), which sets a maximum 24‐hour mean concentration of 50 μg/m3 for particulate matter less than 10 μm in diameter (PM10) and 25 μg/m3 for PM2.5. Each state and territory is required by the NEPM to annually report all breaches of this standard, including the sources of pollution.1

We analysed NEPM reports for Western Australia to identify days during 1 January 2002 – 31 December 2017 on which atmospheric particulate matter levels exceeded air quality standard levels, and classified them according to the most frequently reported sources of pollution: prescribed burns, wildfires, and other (crustal particles such as dust, wood smoke, and indeterminate). During 2008–2013, exceedances caused by smoke from prescribed burns, wildfires, and wood smoke were all recorded by the WA Department of Environment Regulation as “smoke haze”. For this period, we therefore applied a random forest algorithm, a machine learning method that uses a random sample of observations for known classifications to predict the classifications for new data.2 We included the variables month, day of the week, temperature, and pollution level as model predictors.

To estimate background PM2.5 level, we obtained historical hourly values for PM10 and PM2.5 from the WA Department of Water and Environmental Regulation3 and calculated historical monthly means, excluding days on which particle levels exceeded the air quality standard. We estimated daily PM2.5 concentrations attributable to smoke events by subtracting the background PM2.5 level from measured daily values.

Applying standard methods for assessing the health impact of air pollution,4 we estimated the numbers of premature deaths, hospitalisations for cardiovascular and respiratory problems, and emergency department presentations with asthma attributable to elevated PM2.5 levels. We used the value of statistical life (VSL)5 to estimate costs associated with premature mortality. The VSL is based on the willingness to pay for reduced risk of premature mortality, and does not take into account underlying health status, age, or life expectancy of individuals. Deaths associated with acute exposure to increased air pollution are more likely among people at greater risk because of advanced age or chronic illness.6 We estimated hospital service costs according to the mean cost of each episode of care as reported in the Independent Hospital Pricing Authority national cost data collection report7 and the Health Policy Analysis emergency care costing report.8

We also undertook a sensitivity analysis in which we excluded data for 2008–2013, when exceedances caused by smoke from prescribed burns, wildfires, and wood smoke were all recorded in NEPM reports as “smoke haze”. Further details on our methods, including underlying assumptions and limitations, are included in the online Supporting Information.

During 2002–2017, particulate air pollution exceeded the national standard on 271 of 5844 days (4.6%), including 197 days (73%) attributable to prescribed burns or wildfires. We estimated that 41 (95% confidence interval [CI], 15–68) premature deaths, 99 (95% CI, 19–182) hospitalisations for cardiovascular problems and 174 (95% CI, 0–373) for respiratory conditions, and 123 (95% CI, 70–179) emergency department visits with asthma were attributable to elevated PM2.5 concentration (Box 1).

Total estimated health costs were $188.8 million (95% CI, $68.1–311.1 million); $97.1 million (51%) was attributable to prescribed burns and $77.7 million (41%) to wildfires. Mean estimated health costs were lower on days affected by smoke from prescribed burns ($703 984; 95% CI, $254 064–$1.2 million) than those affected by wildfire smoke ($1.3 million; 95% CI, $475 000–$2.2 million), although more days were affected by prescribed burns (138) than by wildfires (59). The estimated smoke‐related costs of wildfires were highest in 2012 ($24.8 million); in many years, prescribed fires often accounted for most health‐related costs, peaking in 2017 ($24.1 million) (Box 2). In our sensitivity analysis excluding the period 2008–2013, the relative costs by source were similar (prescribed burns, 53% [$58.4 million]; wildfires, 38% [$41.6 million]; Supporting Information).

Particulate matter in fire smoke is associated with adverse health outcomes,9 even at relatively low concentrations.10 Landscape fire smoke was the greatest contributor to excessive atmospheric particulate matter levels in WA during 2002–2017 and was associated with substantial health costs. Our estimates of the health impacts may be conservative, as we included only days when PM2.5 concentrations exceeded the national standard, excluding smoky days on which the air quality standard was not breached. Further, our selection of health outcomes did not encompass the total health burden attributable to smoke exposure. Our study highlights the different smoke‐related health effects and costs of infrequent severe wildfire and regular prescribed burning. While prescribed burning reduces the risk of wildfire, better understanding and incorporation into control strategies of the full health impacts of each type of fire are needed for sustainable fire management.11

Box 1 – Estimated health burden attributable to elevated PM2.5 concentrations, Western Australia, 2002–2017, by particulate matter source

Outcome

Estimated number of cases (95% confidence interval)


Prescribed burns

Wildfires

Other

Total


Excess deaths (any cause)

21 (8–35)

17 (6–28)

3 (1–5)

41 (15–68)

Hospital admissions, cardiovascular

51 (10–94)

41 (8–75)

7 (1–13)

99 (19–182)

Hospital admissions, respiratory

89 (0–192)

72 (0–154)

13 (0–27)

174 (0–373)

Emergency department attendances, asthma

63 (36–91)

51 (29–75)

9 (5–13)

123 (70–179)


 

Box 2 – Estimated health costs tributable to elevated PM2.5 concentrations, Western Australia, 2002–2017, by particulate matter source


 

Received 16 September 2019, accepted 6 January 2020

  • Nicolas Borchers Arriagada1
  • Andrew J Palmer1
  • David MJS Bowman2
  • Fay H Johnston1

  • 1 Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS
  • 2 University of Tasmania, Hobart, TAS

Correspondence: fay.johnston@utas.edu.au

Acknowledgements: 

We thank Arthur Grieco and the Department of Water and Environmental Regulation (Western Australia) for providing air quality monitoring network data. Nicolas Borchers Arriagada is supported by a Tasmania Graduate Research Scholarship from the University of Tasmania, a top‐up scholarship from Asthma Australia, and a top‐up scholarship from the New South Wales Department of Planning, Industry and Environment through the New South Wales Bushfire Risk Management Research Hub.

Competing interests:

No relevant disclosures.

Author

remove_circle_outline Delete Author
add_circle_outline Add Author

Comment
Do you have any competing interests to declare? *

I/we agree to assign copyright to the Medical Journal of Australia and agree to the Conditions of publication *
I/we agree to the Terms of use of the Medical Journal of Australia *
Email me when people comment on this article

Online responses are no longer available. Please refer to our instructions for authors page for more information.