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

云高计 空气质量指数 行星边界层 环境科学 CMAQ 气溶胶 污染物 大气科学 空气污染 污染 天气研究与预报模式 对流层 露点 微粒污染 气象学 边界层 地理 化学 地质学 物理 生态学 有机化学 湍流 生物 热力学
作者
Hiep Nguyen Duc,Md Mahmudur Rahman,Toan Trieu,Merched Azzi,Matthew Riley,Thomas Koh,Shaohua Liu,Kasun Bandara,Vishall Krishnan,Yujing Yang,Jeremy D. Silver,Michael Kirley,Stephen White,Jordan Capnerhurst,John Kirkwood
出处
期刊:Atmosphere [MDPI AG]
卷期号:13 (2): 176-176 被引量:11
标识
DOI:10.3390/atmos13020176
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.

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