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Article

Study of Planetary Boundary Layer, Air Pollution, Air Quality Models and Aerosol Transport Using Ceilometers in New South Wales (NSW), Australia

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Department of Planning, Industry and Environment NSW, Australia, PO Box 29, Lidcombe, NSW 2141, Australia
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Environmental Quality, Atmospheric Science and Climate Change Research Group, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam
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Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam
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School of Computing and Information Systems, University of Melbourne, Parkville, VIC 3010, Australia
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School of Computing and Information Systems, Melbourne Centre for Data Science, University of Melbourne, Parkville, VIC 3010, Australia
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School of Mathematics and Statistics, University of Melbourne, Parkville, VIC 3010, Australia
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Author to whom correspondence should be addressed.
Academic Editor: Philippe Thunis
Atmosphere 2022, 13(2), 176; https://doi.org/10.3390/atmos13020176
Received: 31 December 2021 / Revised: 18 January 2022 / Accepted: 19 January 2022 / Published: 21 January 2022
(This article belongs to the Section Atmospheric Techniques, Instruments, and Modeling)
The planetary boundary layer height (PBLH) is one of the key factors in influencing the dispersion of the air pollutants in the troposphere and, hence, the air pollutant concentration on ground level. For this reason, accurate air pollutant concentration depends on the performance of PBLH prediction. Recently, ceilometers, a lidar instrument to measure cloud base height, have been used by atmospheric scientists and air pollution control authorities to determine the mixing level height (MLH) in improving forecasting and understanding the evolution of aerosol layers above ground at a site. In this study, ceilometer data at an urban (Lidcombe) and a rural (Merriwa) location in New South Wales, Australia, were used to investigate the relationship of air pollutant surface concentrations and surface meteorological variables with MLH, to validate the PBLH prediction from two air quality models (CCAM-CTM and WRF-CMAQ), as well as to understand the aerosol transport from sources to the receptor point at Merriwa for the three case studies where high PM10 concentration was detected in each of the three days. The results showed that surface ozone and temperature had a positive correlation with MLH, while relative humidity had negative correlation. For other pollutants (PM10, PM2.5, NO2), no clear results were obtained, and the correlation depended on the site and regional emission characteristics. The results also showed that the PBLH prediction by the two air quality models corresponded reasonably well with the observed ceilometer data and the cause and source of high PM10 concentration at Merriwa can be found by using ceilometer MLH data to corroborate back trajectory analysis of the transport of aerosols to the receptor point at Merriwa. Of the three case studies, one had aerosol sources from the north and north west of Merriwa in remote NSW, where windblown dust is the main source, and the other two had sources from the south and south east of Merriwa, where anthropogenic sources dominate. View Full-Text
Keywords: planetary boundary layer height (PBLH); mixing level height (MLH); vaisala CL51 ceilometer; CCAM-CTM; WRF-CMAQ; HYSPLIT trajectory analysis; MODIS satellite planetary boundary layer height (PBLH); mixing level height (MLH); vaisala CL51 ceilometer; CCAM-CTM; WRF-CMAQ; HYSPLIT trajectory analysis; MODIS satellite
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MDPI and ACS Style

Duc, H.N.; Rahman, M.M.; Trieu, T.; Azzi, M.; Riley, M.; Koh, T.; Liu, S.; Bandara, K.; Krishnan, V.; Yang, Y.; Silver, J.; Kirley, M.; White, S.; Capnerhurst, J.; Kirkwood, J. Study of Planetary Boundary Layer, Air Pollution, Air Quality Models and Aerosol Transport Using Ceilometers in New South Wales (NSW), Australia. Atmosphere 2022, 13, 176. https://doi.org/10.3390/atmos13020176

AMA Style

Duc HN, Rahman MM, Trieu T, Azzi M, Riley M, Koh T, Liu S, Bandara K, Krishnan V, Yang Y, Silver J, Kirley M, White S, Capnerhurst J, Kirkwood J. Study of Planetary Boundary Layer, Air Pollution, Air Quality Models and Aerosol Transport Using Ceilometers in New South Wales (NSW), Australia. Atmosphere. 2022; 13(2):176. https://doi.org/10.3390/atmos13020176

Chicago/Turabian Style

Duc, Hiep N., Md M. Rahman, Toan Trieu, Merched Azzi, Matthew Riley, Thomas Koh, Shaohua Liu, Kasun Bandara, Vishall Krishnan, Yujing Yang, Jeremy Silver, Michael Kirley, Stephen White, Jordan Capnerhurst, and John Kirkwood. 2022. "Study of Planetary Boundary Layer, Air Pollution, Air Quality Models and Aerosol Transport Using Ceilometers in New South Wales (NSW), Australia" Atmosphere 13, no. 2: 176. https://doi.org/10.3390/atmos13020176

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