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]
日期:2022-01-21
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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