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

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

Authors :
Duc, Hiep Nguyen
Rahman, Md Mahmudur
Trieu, Toan
Azzi, Merched
Riley, Matthew
Koh, Thomas
Liu, Shaohua
Bandara, Kasun
Krishnan, Vishall
Yang, Yujing
Silver, Jeremy
Kirley, Michael
White, Stephen
Capnerhurst, Jordan
Kirkwood, John
Source :
Atmosphere; Feb2022, Vol. 13 Issue 2, p176, 1p
Publication Year :
2022

Abstract

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 PM<subscript>10</subscript> 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 (PM<subscript>10</subscript>, PM<subscript>2.5</subscript>, NO<subscript>2</subscript>), 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 PM<subscript>10</subscript> 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20734433
Volume :
13
Issue :
2
Database :
Complementary Index
Journal :
Atmosphere
Publication Type :
Academic Journal
Accession number :
155713240
Full Text :
https://doi.org/10.3390/atmos13020176