Creating an Integrated Historical Record of Extreme Particulate Air Pollution Events in Australian Cities from 1994 to 2007

Fay H. Johnston Menzies Research Institute, University of Tasmania, Tasmania, AustraliaCorrespondence[email protected]

Ivan C. Hanigan National Centre of Epidemiology and Population Health, Australian National University, Canberra, Australian Capital Territory; and School of Plant Sciences, University of Tasmania, Tasmania, Australia

Sarah B. Henderson Menzies Research Institute, University of Tasmania, Tasmania, Australia

Geoffrey G Morgan Northern Rivers Department of Rural Health, University of Sydney, Lismore, New South Wales, Australia; and North Coast Area Health Service, Lismore, New South Wales, Australia

Talia Portner School of Plant Sciences, University of Tasmania, Tasmania, Australia

Grant J. Williamson School of Plant Sciences, University of Tasmania, Tasmania, Australia

David M.J.S. Bowman School of Plant Sciences, University of Tasmania, Tasmania, Australia

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Creating an Integrated Historical Record of Extreme Particulate Air Pollution Events in Australian Cities from 1994 to 2007

Table 1. Air quality data availability and distribution for the six cities included in this study

Table 2. A description of all identified events by city, PM size class, and percentile bracket (95–96%, 97–98%, ≥99%)

Table 3. Seasonal distribution of days in which PM₁₀ and PM_2.5 equaled or exceeded the 95th percentile

Table 4. Proportion of Sydney PM₁₀ events due to LFS identified by each source of information before and after the online MODIS archive became available in 2001

Table 5. Contribution of different sources of information for identifying PM₁₀ events in Sydney (2001 onward)

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Creating an Integrated Historical Record of Extreme Particulate Air Pollution Events in Australian Cities from 1994 to 2007

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Table 1. Air quality data availability and distribution for the six cities included in this study

Table 2. A description of all identified events by city, PM size class, and percentile bracket (95–96%, 97–98%, ≥99%)

Table 3. Seasonal distribution of days in which PM10 and PM2.5 equaled or exceeded the 95th percentile

Table 4. Proportion of Sydney PM10 events due to LFS identified by each source of information before and after the online MODIS archive became available in 2001

Table 5. Contribution of different sources of information for identifying PM10 events in Sydney (2001 onward)

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Table 3. Seasonal distribution of days in which PM₁₀ and PM_2.5 equaled or exceeded the 95th percentile

Table 4. Proportion of Sydney PM₁₀ events due to LFS identified by each source of information before and after the online MODIS archive became available in 2001

Table 5. Contribution of different sources of information for identifying PM₁₀ events in Sydney (2001 onward)