Abstract
Environmental monitoring and modelling, especially in the regional context, has seen significant progress with the widely usage of satellite measurement in conjunction with local meteorological and air quality monitoring to understand the atmospheric dispersion and transport of air pollutants. This paper studies the application of these data and modelling tools to understand the environment effects of a major bushfire period in the state of New South Wales (NSW), Australia, in 2013. The bushfires have caused high pollution episodes at many sites in the greater Sydney metropolitan areas. The potential long-range transport of aerosols produced by bushfires to other region and states has been seen by regulators as a major concern. Using data and images collected from satellites, in addition to the results obtained from different simulations carried out using HYSPLIT trajectory model and a regional meteorological model called Conformal Cubic Atmospheric Model (CCAM), we were able to identify at least 2 days on which the smoke aerosols from bush fires in NSW has been transported at high altitude to the northern state of Queensland and the Coral Sea. As a result, widespread high particle concentration in South East Queensland including the Brisbane area, as measured by nearly all the air quality monitoring stations in this region, occurred on the day when the smoke aerosols intruded to lower altitude as indicated by the CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) Lidar measurements on the CALIPSO (Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observation) satellite. The use of meteorological or air quality modelling to connect the ground-based measurements with satellite observations as shown in this study is useful to understand the pollutant transport due to bushfires and its impact on regional air quality.
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References
Anderson, T., Wu, Y., Chu. D., et al., 2005, Testing the MODIS satellite retrieval of aerosols fine-mode fraction. J Geophys Res, 110, D18204, https://doi.org/10.1029/2005JD005978
Bradstock, R. A., Gill, A. M. and Williams, R. J. (2012). Flammable Australia: fire regimes, biodiversity and ecosystems in a changing world. CSIRO Publishing. pp. 344.
Corney, S., Grose, M., Bennett, J., et al. (2013). Performance of downscaled regional climate simulations using a variable-resolution regional climate model: Tasmania as a test case. Journal of Geophysical Research: Atmospheres, 118(21), 11–936.
Crompton, R. P., McAneney, K. J., Chen, K., Pielke Jr., R. A., & Haynes, K. (2010). Influence of location, population and climate on building damage and fatalities due to Australian bushfire: 1925–2009. Weather, Climate and Society, 2, 300–310.
Draxler, R.R. and Rolph, G.D. (2015). HYSPLIT (HYbrid Single-Particle Lagrangian Integrated Trajectory) Model access via NOAA ARL READY Website (http://ready.arl.noaa.gov/HYSPLIT.php). NOAA Air Resources Laboratory, Silver Spring, MD.
Draxler, R., Ginoux, P., & Stein, A. (2010). An empirically derived emission algorithm for wind-blown dust. Journal of Geophysical Research, 115, D16212.
Duc, H. N., Ho, Q. B., & Quang, N. X. (2016). Modelling and prediction of air pollutant transport during the 2014 biomass burning and forest fires in peninsular Southeast Asia. Environmental Monitoring and Assessment, 188(2), 1–23.
Fu, C., Wang, S., Xiong, Z., Gutowski, W. J., Lee, D. K., McGregor, J. L., Sato, Y., Kato, H., Kim, J. W., & Suh, M. S. (2005). Regional climate model intercomparison project for Asia. Bulletin of the American Meteorological Society, 86(2), 257–266.
Gautam, R., Hsu, C., Eck, T., et al. (2013). Characterization of aerosols over the Indochina peninsula from satellite-surface observations during biomass burning pre-monsoon season. Atmospheric Environment, 78, 51–59.
Guo, Y., Feng, N., Christopher, S. A., Kang, P., Zhan, F. B., & Hong, S. (2014). Satellite remote sensing of fine particulate matter (PM2.5) air quality over Beijing using MODIS. International Journal of Remote Sensing, 35, 6522–6544.
Gupta, P., Khan, M. N., Silva, A., & Patadia, F. (2013). MODIS aerosol optical depth observations over urban areas in Pakistan: Quantity and quality of the data for air quality monitoring. Atmospheric Pollution Research, 4, 43–52.
Huang, J., Minnis, P., Chen, B., Huang, Z., Liu, Z., Zhao, Q., Yi, Y., & Ayers, J. K. (2008). Long-range transport and vertical structure of Asian dust from CALIPSO and surface measurements during PACDEX. Journal of Geophysical Research: Atmospheres, 113(D23).
Huang, K., Fu, J., Hsu, C., et al. (2013). Impact assessment of biomass burning on air quality in southeast and East Asia during BASE-ASIA. Atmospheric Environment, 78, 291–302.
Jaffe, D., Bertschi, I., & Jaeglé, L. (2004). Long-range transport of Siberian biomass burning emissions and impact on surface ozone in western North America. Geophysical Research Letters, 31(16). https://doi.org/10.1029/2004GL020093.
Johnston, F., Hanigan, I., Henderson, S., Morgan, G., & Bowman, D. (2011). Extreme air pollution events from bushfires and dust storms and their association with mortality in Sydney, Australia 1994–2007. Environmental Research, 111, 811–816. https://doi.org/10.1016/j.envres.2011.05.007.
Le, G., Breysse, P., McDermott, A., et al. (2014). Canadian forest fires and the effects of long-range transboundary air pollution on hospitalizations among the elderly. ISPRS International Journal of Geo-Information, 3(2), 713–731.
McGregor, J. L. (2005). C-CAM: Geometric aspects and dynamical formulation. CSIRO Marine and Atmospheric Research Tech.Paper, 70, 43.
Morgan, G., Sheppeard, V., Khalaj, B., Ayyar, A., Lincoln, D., Jalaludin, B., Beard, J., Corbett, S., & Lumley, T. (2010). Effects of bushfire smoke on daily mortality and hospital admissions in Sydney, Australia. Epidemiology, 21, 47–55.
Omar, A., Winker, D., Vaughan, M., et al. (2009). The calipso automated aerosol classification and lidar ratio selection algorithm. Journal of Atmospheric and Oceanic Technology, 26, 1994–2014.
Ou-yang, C., Hsieh, H., Wang, S., et al. (2013). Influence of Asian continental outflow on the regional background ozone level in northern South China Sea. Atmospheric Environment, 78, 144–153.
Rolph, G., Draxler, R., Stein, A., et al. (2009). Description and verification of the NOAA smoke forecasting system: The 2007 fire season. Weather and Forecasting, 14, 361–378.
Smith, I., Moise, A., Katzfey, J., Nguyen, K., & Colman, R. (2013). Regional-scale rainfall projections: Simulations for the New Guinea region using the CCAM model. Journal of Geophysical Research: Atmospheres, 118(3), 1271–1280.
Stein, A. F., Draxler, R. R., Rolph, G. D., Stunder, B. J. B., Cohen, M. D., & Ngan, F. (2015). NOAA’s HYSPLIT atmospheric transport and dispersion modeling system. Bulletin of the American Meteorological Society, 96, 2059–2077.
Thatcher, M., & Hurley, P. (2010). A customisable downscaling approach for local-scale meteorological and air pollution forecasting: performance evaluation for a year of urban meteorological forecasts. Environmental Modelling & Software, 25, 82–92.
Thatcher, M., & McGregor, J. (2009). Using a scale-selective filter for dynamical downscaling with the conformal cubic atmospheric model. Monthly Weather Review, 137, 1742–1751.
Tsay, S., Hsu, C., & Lau, W. (2013). From BASE-ASIA toward 7-SEAS: a satellite-surface perspective of boreal spring biomass-burning aerosols and clouds in Southeast-Asia. Atmos. Envir., 78, 20–34.
Whittaker, J., Haynes, K., Handmer, J., & McLennan, J. (2013). Community safety during the 2009 Australian ‘Black Saturday’ bushfires: an analysis of household preparedness and response. International Journal of Wildland Fire, 22, 841–849.
Yen, M., Peng, C., Chen, T., et al. (2013). Climate and weather characteristics in association with the active fires in northern Southeast Asia and spring air pollution in Taiwan during 2010 7-SEAS/Dongsha experiment. Atmospheric Environment, 78, 35–50.
Acknowledgments
The provision of air quality data from the Queensland Department of Environment is gratefully acknowledged. Analyses and visualisations, where they are indicated in the paper, were produced with the Giovanni online data system, developed and maintained by the NASA GES DISC, and the CALIPSO satellite products from NASA Langley Research Center (http://www-calipso.larc.nasa.gov/products/lidar/browse_images/production/). We also acknowledge the NOAA Air Resources Laboratory (ARL) for the provision of the HYSPLIT transport and dispersion model and/or READY website (http://www.ready.noaa. gov) used in this publication.
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Duc, H.N., Chang, L.TC., Azzi, M. et al. Smoke aerosols dispersion and transport from the 2013 New South Wales (Australia) bushfires. Environ Monit Assess 190, 428 (2018). https://doi.org/10.1007/s10661-018-6810-4
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DOI: https://doi.org/10.1007/s10661-018-6810-4