Publically accessible pollution databases, such as the Australian National Pollutant Inventory, contain information on chemical emissions released by industrial facility and diffuse sources. They are meant to enable public scrutiny of industrial activity, which in turn, is meant to lead to industries reducing their pollution. In Australia, however, concerns have been consistently raised that this process is not occurring. To assess whether Australia’s National Pollutant Inventory is fulfilling its legislated goals, we examined the accuracy and consistency of the largest facility and diffuse source of airborne lead, a major pollutant of concern for public health. Our analysis found that the emissions estimates provided by the Inventory were not accurate and were not consistent with other sources of emissions within the Inventory, potentially distorting any user interpretation of emissions estimates provided by the National Pollutant Inventory. We conclude that for at least these important public health pollution sources, the Inventory does not fulfil its legislated goals.

Heatwaves are associated with increased mortality and are exacerbated by the urban heat island (UHI) effect. Thus, to inform climate change mitigation and adaptation, we quantified the mortality burden of historical heatwave days in Sydney, Australia, assessed the contribution of the UHI effect and used climate change projection data to estimate future health impacts. We also assessed the potential for tree cover to mitigate against the UHI effect. Mortality (2006–2018) records were linked with census population data, weather observations (1997–2016) and climate change projections to 2100. Heatwave-attributable excess deaths were calculated based on risk estimates from a published heatwave study of Sydney. High resolution satellite observations of UHI air temperature excesses and green cover were used to determine associated effects on heat-related mortality. These data show that >90% of heatwave days would not breach heatwave thresholds in Sydney if there were no UHI effect and that numbers of heatwave days could increase fourfold under the most extreme climate change scenario. We found that tree canopy reduces urban heat, and that widespread tree planting could offset the increases in heat-attributable deaths as climate warming progresses.

Vulnerable subpopulations may be exposed to higher levels of outdoor air pollution than the rest of the population. Due to the potential for this to exacerbate their existing health burden, concerns about disparities in subpopulations' air pollution exposure have motivated international public health researchers to examine this topic. In Australia, such research is lacking to date, despite heterogeneity in air pollution at multiple spatial scales across the continent. This study aimed to investigate disparities in exposure to two health-relevant outdoor air pollutants: particulate matter <2.5 μm (PM 2.5 ) and nitrogen dioxide (NO 2 ). We used national land-use regression models to estimate annual average concentrations of PM 2.5 and NO 2 , and area-level census data on ethnicity, age and socioeconomic status (SES) to calculate the bivariate associations between each census-derived variable with the concentration of air pollutants. We also used multivariable models including specific measures of SES as covariates to assess to what extent associations were explained by SES. Associations were calculated separately for rural and urban areas using generalised additive models which accounted for spatial autocorrelation. Bivariate results showed significant nonlinear associations (p < 0.001) between vulnerable subpopulations and pollutant concentration. These associations suggested that areas with greater socio-economic disadvantage, a higher proportion of ethnic minorities, and elderly people are exposed to higher concentrations of PM 2.5 and NO 2 , although differences in the magnitude of exposure were small overall. Our multivariable models showed that the associations between ethnic minorities and pollutant concentration appear to be substantially affected by area-level SES. Our results suggested that these vulnerable subpopulations are inequitably exposed to PM 2.5 and NO 2 . While the magnitude of differences in exposure were generally small, the predicted differences in exposure among vulnerable subpopulations could contribute to a potentially avertable health burden at a population-level.