Specifications

Main heading: Sediments
Controlled terms: Dams - Floods - Rain - Statistics - Watersheds
Uncontrolled terms: Configuration ratio - Contribution rate - Contribution
ratios - In-coming sediments - Mathematical statistics methods - Rainfall
intensity - Sediment reduction - Storage capacity
Classification code: 441.1 Dams - 443.3 Precipitation - 444.1 Surface Water - 483 Soil
Mechanics and Foundations - 914.1 Accidents and Accident Prevention - 922.2
Mathematical Statistics
DOI: 10.3969/j.issn.1002-6819.2013.12.020
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.
12.
Accession number: 20132916517275
Title: Design and analysis of new spectroscopic system of Raman lidar for detection of
atmospheric water vapor
Authors: Wang, Hong-Wei1 ; Hua, Deng-Xin1 ; Wang, Yu-Feng1 ; Gao, Peng1 ; Zhao, Hu1/
王红伟;华灯鑫;王玉峰;高朋;赵虎
Author affiliation:
1 School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology,
Xi'an 710048, China
Corresponding author: Hua, D.-X. ([e-mail])
Source title: Wuli Xuebao/Acta Physica Sinica
Abbreviated source title: Wuli Xuebao
Volume: 62
Issue: 12
Issue date: June 20, 2013
Publication year: 2013
Article number: 120701
Language: Chinese
ISSN: 10003290
CODEN: WLHPAR
Document type: Journal article (JA)
Publisher: Institute of Physics, Chinese Academy of Sciences, P.O. Box 603, Beijing,
100190, China
Abstract: A new ultraviolet Raman lidar system is proposed and developed for detecting
atmospheric water vapor and aerosol study. The combination of dichroic mirrors and
narrow-band interference filters is used as high-performance spectroscopic system to obtain the
fine-separation and high-efficiency extraction of Mie-Rayleigh scattering signals, the vibrational
Raman scattering signal of H2O and N2. By the American standard model and a set of
atmospheric scattering signal model, the signal-to-noise ratio (SNR) and the water vapor
measurement error are simulated and analyzed. The preliminary experiments are carried out at
nighttime in Xi'an area for detecting the atmospheric water vapor and aerosols. Taking a set of
the atmospheric returned signals measured under cloudy weather for example, the profiles of
atmospheric backscatter ratio and water vapor mixing ratio are retrieved, and the SNR profiles of