PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
Visualising Daily PM10 Pollution Data in an Open-Cut Mining Valley of New South Wales, Australia—Part I: Identification of Spatial and Temporal Variation Patterns
Version 1
: Received: 6 March 2024 / Approved: 6 March 2024 / Online: 6 March 2024 (12:06:16 CET)
How to cite:
Jiang, N.; Riley, M.L.; Azzi, M.; Puppala, P.; Duc, H.N.; Di Virgilio, G. Visualising Daily PM10 Pollution Data in an Open-Cut Mining Valley of New South Wales, Australia—Part I: Identification of Spatial and Temporal Variation Patterns. Preprints2024, 2024030341. https://doi.org/10.20944/preprints202403.0341.v1
Jiang, N.; Riley, M.L.; Azzi, M.; Puppala, P.; Duc, H.N.; Di Virgilio, G. Visualising Daily PM10 Pollution Data in an Open-Cut Mining Valley of New South Wales, Australia—Part I: Identification of Spatial and Temporal Variation Patterns. Preprints 2024, 2024030341. https://doi.org/10.20944/preprints202403.0341.v1
Jiang, N.; Riley, M.L.; Azzi, M.; Puppala, P.; Duc, H.N.; Di Virgilio, G. Visualising Daily PM10 Pollution Data in an Open-Cut Mining Valley of New South Wales, Australia—Part I: Identification of Spatial and Temporal Variation Patterns. Preprints2024, 2024030341. https://doi.org/10.20944/preprints202403.0341.v1
APA Style
Jiang, N., Riley, M.L., Azzi, M., Puppala, P., Duc, H.N., & Di Virgilio, G. (2024). Visualising Daily PM10 Pollution Data in an Open-Cut Mining Valley of New South Wales, Australia—Part I: Identification of Spatial and Temporal Variation Patterns. Preprints. https://doi.org/10.20944/preprints202403.0341.v1
Chicago/Turabian Style
Jiang, N., Hiep Nguyen Duc and Giovanni Di Virgilio. 2024 "Visualising Daily PM10 Pollution Data in an Open-Cut Mining Valley of New South Wales, Australia—Part I: Identification of Spatial and Temporal Variation Patterns" Preprints. https://doi.org/10.20944/preprints202403.0341.v1
Abstract
The Upper Hunter Valley is a major coal mining area containing approximately 40% of the currently identified total coal reserves in New South Wales (NSW), Australia. Due to the ongoing increase of mining activities, PM10 (air-borne particle with an aerodynamic diameter less than 10 micrometres) pollution has become a major air quality concern in local communities. This paper summarises the spatial and temporal variability modes of PM10 pollution in the region, based on long-term multi-site monitoring data and the application of the rotated principal component analysis (RPCA) and wavelet analysis techniques. RPCA identified two distinct air quality clusters/subregions in the valley, one in the west/northwest, the other in the southeast. Wavelet analysis revealed the annual cycle to be most persistent temporal mode of PM10 variability in both subregions, with intermittent signals observed at time scales of around 120, 30~90 and under 30 days. How these variation modes are related to the effects of local PM10 emissions and the influence of meteorology at different time scales deserves further attention in future work. The findings will be used in air quality reporting and forecasting in NSW. The methodology and results can also be useful for air quality research in similar regions elsewhere.
Keywords
PM10 pollution; spatial-temporal variability mode; rotated principal component analysis (RPCA); wavelet analysis; open-cut mining; valley environment
Subject
Environmental and Earth Sciences, Pollution
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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