scholarly journals Review Comments on 'Multimethod determination of the below-cloud wet scavenging coefficients of aerosols in Beijing, China' written by Danhui Xu

2019 ◽  
Author(s):  
Anonymous
Keyword(s):  
Wet Scavenging ◽  
Beijing China

Thermoluminescence Dating of Coarse-Grain Quartz from the Malan Loess at Zhaitang Section, China

1987 ◽  
Vol 28 (3) ◽  
pp. 356-363 ◽  
Author(s):  
Lu Yanchou ◽  
A. J. Mortlock ◽  
D. M. Price ◽  
M. L. Readhead
Keyword(s):  
Age Determination ◽  
Total Sample ◽  
Coarse Grain ◽  
Annual Dose ◽  
Fine Grain ◽  
Malan Loess ◽  
Thermoluminescence Dating ◽  
Beijing China ◽  
Good Agreement

AbstractThermoluminescence (TL) ages were obtained for five loess samples taken from the Zhaitang section near Beijing, China, using the coarse-grain quartz technique. The paleodose values have been determined by the method of total sample bleaching and regeneration of the TL growth curve. The method appears to be suitable for the age determination of loess samples up to about 150,000 yr where the annual dose-rate values are of the order 3–4 mGy/yr. This limit is a function of the total accumulated dose. The ages are in good agreement with those obtained by a fine-grain TL technique and are consistent with geological and geomagnetostratigraphic evidence.

scholarly journals SPME-GC-MSD for Determination of Nine Phenyl Compounds in Snow Water in Beijing China

2005 ◽  
Vol 62 (1-2) ◽  
pp. 109-111 ◽  
Author(s):  
Shan Zhou ◽  
Junxiong Huang ◽  
Xing Gao ◽  
Liwen Zhao
Keyword(s):  
Snow Water ◽  
Beijing China ◽  
Phenyl Compounds

scholarly journals POINT CLOUD MODELLING BASED ON THE TUNNEL AXIS AND BLOCK ESTIMATION FOR MONITORING THE BADALING TUNNEL, CHINA

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 301-306 ◽  
Author(s):  
J. Wang ◽  
H. B. Zheng ◽  
H. Huang ◽  
G. W. Ma
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Point Clouds ◽  
Winter Olympics ◽  
Representative Points ◽  
Value Decomposition ◽  
Cloud Modelling ◽  
Svd Method ◽  
Beijing China

Recent years have witnessed a growing investigation of terrestrial laser scanning (TLS) for monitoring the deformation of tunnels. TLS provides the ability to obtain a more accurate and complete description of the tunnel surfaces, allowing the determination of the mechanism and magnitude of tunnel deformation, because the entire surface of the tunnel is more concretely modelled rather than being represented by a number of points. This paper models and analyses the point clouds from TLS to detect the possible deformation of a newly built tunnel. In the application of monitoring the Badaling Tunnel for the Winter Olympics 2020 in Beijing, China, the proposed method includes the following components: the tunnel axis is automatically estimated based on a 3D quadratic form estimation; all of the point clouds are segmented into axis-based blocks; and representative points, solved by a singular value decomposition (SVD) method, are estimated to describe the tunnel surface and establish the correspondence of data between days. The deformations are detected in the form of the distance discrepancies of representative points and verified by the measurements using total station.

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