The vertical distribution models of atmospheric extinction coefficient and their applicability
DENG Pei-Yun1, NI Chang-Jian1,2, ZHU Yu-Lei1
1. College of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China;
2. Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu 610225, China
Vertical distribution model of atmospheric extinction coefficient is a key technique for satellite inversion of near-surface particle mass concentration, and an important approach to analyze the structure of turbulent field in the boundary layer as well. However, there still exists much uncertainty in its applicability so far. In this study, a new method to calculate the parameters of Logistic profile model of atmospheric extinction coefficient was proposed. This method was based on the preliminary research of Logistic curve to simulate atmospheric extinction coefficient profile, and combined with atmosphere optical depth (AOD) data from the solar photometer (CE-318) as well as ground visibility data. The application results using the data from June 2013 to May 2014 in Chengdu showed that under unstable and neutral conditions, simulated results of atmospheric extinction coefficient by Logistic model and the currently widely used negative exponential model had considerable agreement. Under continuously stable conditions, simulated results obtained by the former were obviously better than those of the latter. Further analysis indicated that the applicability of Logistic vertical distribution model mainly lied in its excellent ability to simulate the complex vertical forms of atmospheric extinction coefficient in near surface layer.
邓佩云, 倪长健, 朱育雷. 大气消光系数垂直分布模型及其适用性研究[J]. 中国环境科学, 2018, 38(7): 2432-2437.
DENG Pei-Yun, NI Chang-Jian, ZHU Yu-Lei. The vertical distribution models of atmospheric extinction coefficient and their applicability. CHINA ENVIRONMENTAL SCIENCECE, 2018, 38(7): 2432-2437.
Wu Y, Hao J M, Fu L X, et al. Vertical and horizontal profiles of airborne particulate matter near major roads in Macao, China[J]. Atmospheric Environment, 2002,36(31):4907-4918.
Stefan Emeis, Klaus Schäfer, Christoph Münkel. Surface-based remote sensing of the mixing-layer height-a review[J]. Meteorologische Zeitschrift, 2008,17(15):621-630.
[12]
Luo T, Yuan R, Wang Z. Lidar-based remote sensing of atmospheric boundary layer height over land and ocean[J]. Atmospheric Measurement Techniques Discussions, 2013,6(5):173-182.
[13]
Wang Z F, Chen L F, Tao J H, et al. Satellite-based estimation of regional particulate matter (PM) in Beijing using vertical-and-RH correcting method. Remote Sensing Environment, 2010,114:50-63.
Zhou J, Yue G M, Jin C J, et al. Lidar observation of asian dust over hefei in the spring of 2000[C]//Proceedings of Asian Lidar Observation Network Conference, 2000, 2000:29-32.
[19]
Pahlow M, Kleissl J, Parlange M, et al. Atmospheric boundary-layer structure observed during a haze event due to forest-fire smoke[J]. Boundary-Layer Meteorology, 2005,114:53-70.
Sun X, Yin Y, Sun Y, et al. Seasonal and vertical variations in aerosol distribution over Shijiazhuang, China[J]. Atmospheric Environment, 2013,81(4):245-252.
[25]
Chan L Y, Kwok W S. Vertical dispersion of suspended particulates in urban area of Hong Kong[J]. Atmospheric Environment, 2000,34(26):4403-4412.