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

被引:9
|
作者
Hiep Nguyen Duc [1 ,2 ,3 ]
Rahman, Md Mahmudur [1 ]
Trieu, Toan [1 ]
Azzi, Merched [1 ]
Riley, Matthew [1 ]
Koh, Thomas [4 ]
Liu, Shaohua [4 ]
Bandara, Kasun [5 ]
Krishnan, Vishall [4 ]
Yang, Yujing [4 ]
Silver, Jeremy [6 ]
Kirley, Michael [5 ]
White, Stephen [1 ]
Capnerhurst, Jordan [1 ]
Kirkwood, John [1 ]
机构
[1] Dept Planning Ind & Environm NSW, POB 29, Lidcombe, NSW 2141, Australia
[2] Ton Duc Thang Univ, Environm Qual Atmospher Sci & Climate Change Res, Ho Chi Minh City 700000, Vietnam
[3] Ton Duc Thang Univ, Fac Environm & Labour Safety, Ho Chi Minh City 700000, Vietnam
[4] Univ Melbourne, Sch Comp & Informat Syst, Parkville, Vic 3010, Australia
[5] Univ Melbourne, Melbourne Ctr Data Sci, Sch Comp & Informat Syst, Parkville, Vic 3010, Australia
[6] Univ Melbourne, Sch Math & Stat, Parkville, Vic 3010, Australia
关键词
planetary boundary layer height (PBLH); mixing level height (MLH); vaisala CL51 ceilometer; CCAM-CTM; WRF-CMAQ; HYSPLIT trajectory analysis; MODIS satellite; LIDAR; HEIGHT; ALGORITHM; RETRIEVE;
D O I
10.3390/atmos13020176
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
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页数:27
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