Dataset Information

Meteorological normalisation of PM₁₀ using machine learning reveals distinct increases of nearby source emissions in the Australian mining town of Moranbah.

ABSTRACT: The impacts of poor air quality on human health are becoming more apparent. Businesses and governments are implementing technologies and policies in order to improve air quality. Despite this the PM₁₀ air quality in the mining town of Moranbah, Australia, has worsened since measurements commenced in 2011. The annual average PM₁₀ concentrations during 2012, 2017, 2018 and 2019 have all exceeded the Australian National Environmental Protection Measure's standard, and there has been an increase in the frequency of exceedances of the daily standard. The average annual increase in PM₁₀ was 1.2 ± 0.5 μg m-3 per year between 2011 and 2019 and has been 2.5 ± 1.2 μg m-3 per year since 2014. The cause of this has not previously been established. Here, two machine lea

SUBMITTER: Mallet MD

PROVIDER: S-EPMC7431165 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Dataset Information

Meteorological normalisation of PM₁₀ using machine learning reveals distinct increases of nearby source emissions in the Australian mining town of Moranbah.

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

Meteorological normalisation of PM10 using machine learning reveals distinct increases of nearby source emissions in the Australian mining town of Moranbah.

OmicsDI is part of the ELIXIR infrastructure

Tweets

Meteorological normalisation of PM₁₀ using machine learning reveals distinct increases of nearby source emissions in the Australian mining town of Moranbah.