Evolution of atmospheric boundary layer structure and its relationship with air quality in Wuhan, China

2017 ◽  
Vol 10 (22) ◽  
Author(s):  
Yassin Mbululo ◽  
Jun Qin ◽  
Zheng Xuan Yuan
Keyword(s):  
Boundary Layer ◽  
Air Quality ◽  
Atmospheric Boundary Layer ◽  
Layer Structure ◽  
Boundary Layer Structure

scholarly journals Integrated System for Atmospheric Boundary Layer Height Estimation (ISABLE) using a ceilometer and microwave radiometer

2020 ◽  
Vol 13 (12) ◽  
pp. 6965-6987
Author(s):  
Jae-Sik Min ◽  
Moon-Soo Park ◽  
Jung-Hoon Chae ◽  
Minsoo Kang
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Layer Structure ◽  
Microwave Radiometer ◽  
Accurate Determination ◽  
Integrated System ◽  
Lapse Rate ◽  
High Temporal Resolution ◽  
Near Surface ◽  
Boundary Layer Structure

Abstract. Accurate boundary layer structure and height are critical in the analysis of the features of air pollutants and local circulation. Although surface-based remote sensing instruments provide a high temporal resolution of the boundary layer structure, there are numerous uncertainties in terms of the accurate determination of the atmospheric boundary layer heights (ABLHs). In this study, an algorithm for an integrated system for ABLH estimation (ISABLE) was developed and applied to the vertical profile data obtained using a ceilometer and a microwave radiometer in Seoul city, Korea. A maximum of 19 ABLHs were estimated via the conventional time-variance, gradient, wavelet, and clustering methods using the backscatter coefficient from the ceilometer. Meanwhile, several stable boundary layer heights were extracted through near-surface inversion and environmental lapse rate methods using the potential temperature from the microwave radiometer. The ISABLE algorithm can find an optimal ABLH from post-processing, such as k-means clustering and density-based spatial clustering of applications with noise (DBSCAN) techniques. It was found that the ABLH determined using ISABLE exhibited more significant correlation coefficients and smaller mean bias and root mean square error between the radiosonde-derived ABLHs than those obtained using the most conventional methods. Clear skies exhibited higher daytime ABLH than cloudy skies, and the daily maximum ABLH was recorded in summer because of the more intense radiation. The ABLHs estimated by ISABLE are expected to contribute to the parameterization of vertical diffusion in the atmospheric boundary layer.

Comparison of Atmospheric Boundary Layer Structure Mesured with a Microwave Temperature Profiler and a Mie Scattering Lidar

1996 ◽  
Vol 35 (Part 1, No. 4A) ◽  
pp. 2168-2169
Author(s):  
Ichiro Matsui ◽  
Nobuo Sugimoto ◽  
Shamil Maksyutov ◽  
Gen Inoue ◽  
Evgeny Kadygrov ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Layer Structure ◽  
Mie Scattering ◽  
Boundary Layer Structure ◽  
Temperature Profiler

scholarly journals The Development of Boundary Layer Structure Index (BLSI) and Its Relationship with Ground Air Quality

Atmosphere ◽  
2018 ◽  
Vol 10 (1) ◽  
pp. 3 ◽  
Author(s):  
Xiang Zheng ◽  
Jun Qin ◽  
Shengwen Liang ◽  
Zhengxuan Yuan ◽  
Yassin Mbululo
Keyword(s):  
Boundary Layer ◽  
Air Quality ◽  
Layer Structure ◽  
Ambient Air ◽  
Air Quality Monitoring ◽  
Ambient Air Quality ◽  
Vertical Diffusion ◽  
Near Surface ◽  
Boundary Layer Structure ◽  
Structure Index

Ambient air quality monitoring data and radar tracking sonde data were used to study the atmospheric boundary layer structure (ABLS) and its changing characteristics over Wuhan. The boundary layer structure index (BLSI), which can effectively describe the ABLS, was accordingly developed and its ability to describe the near-surface air quality was analyzed. The results can be summarized as follows. (1) An analysis of the ABLS during seriously polluted cases revealed that the ABLS was usually dry and warm with a small ventilation index (VI); meanwhile, the ABLS during clean cases was usually wet and cold with a large VI. (2) The correlation between the air quality and BLSI at 100~300 m was good and passed the confidence level limit at 99%. Moreover, the correlation coefficient increased with the altitude at 10~250 m and showed a downward trend at 250~500 m. The correlation between the BLSI at 250 m and the ground air quality was the most significant (r = 0.312), indicating that the layer ranging from 0 to 250 m is essential for determining the ground air quality. (3) The BLSI considers both the vertical diffusion capability and horizontal removal capability of the atmosphere. Therefore, it is highly capable of describing the ABLS and the ground air quality.

Some medium-path infrared observations of atmospheric boundary-layer structure during light wind

1977 ◽  
Vol 11 (4) ◽  
pp. 397-418 ◽  
Author(s):  
R. K. Hauser ◽  
A. P. I. Eniiam ◽  
J. Griffin ◽  
M. Hawkins
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Layer Structure ◽  
Infrared Observations ◽  
Boundary Layer Structure ◽  
Light Wind
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