Study of the scanning lidar on the atmospheric detection

Xie, Chenbo; Zhao, Ming; Wang, Bangxin; Zhong, Zhiqing; Lin, Wenming; Wang, Yingjian

doi:10.1016/j.jqsrt.2014.08.023

Cited by 28 publications

(13 citation statements)

References 12 publications

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“…Localized emission sources, which are difficult to measure by point monitoring stations due to spatial and temporal averaging, can be identified by scanning lidar measurements. Scanning lidar measurements have been reported in previous work for urban pollution monitoring by employing conventional pulsed lidar systems [24,26,28]. In this work, the portable unmanned Scheimpflug lidar system has also been employed for pollution source tracking in urban areas in Dalian, Northern China.…”

Section: Atmospheric Horizontal Scanning Measurements For Pollution Smentioning

confidence: 99%

“…The increasing demands for continuous atmospheric monitoring also place high technical requirements on atmospheric lidar techniques. In particular, lidar systems with untended operation, portability, low-maintenance or even maintenance-free, low cost, eye safe, etc., are of great interest for autonomous routine operations as well as lidar networks, and extensive effort has been devoted to this area [23][24][25][26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

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Preliminary Studies on Atmospheric Monitoring by Employing a Portable Unmanned Mie-Scattering Scheimpflug Lidar System

Zhi

et al. 2019

Remote Sensing

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A portable unmanned Mie-scattering Scheimpflug lidar system has been designed and implemented for atmospheric remote sensing. The Scheimpflug lidar system employs a continuous-wave high-power 808 nm laser diode as the light source and the emitted laser beam is collimated by an F6 lens with a 100 mm aperture. Atmospheric backscattering light is collected by a F5 lens with a 150 mm aperture and then detected by a 45° tilted image sensor. The separation between the transmitting and the receiving optics is about 756 mm to satisfy the Scheimpflug principle. Unmanned outdoor atmospheric measurements were performed in an urban area to investigate system performance. Localized emissions can be identified by performing horizontal scanning measurements over the urban atmosphere for 107° approximately every 17 min. The temporal variation of the vertical aerosol structure in the boundary layer has also been studied through zenith scanning measurements. The promising result shows great potential of the present portable lidar system for unmanned atmospheric pollution monitoring in urban areas.

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Section: Atmospheric Horizontal Scanning Measurements For Pollution Smentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Preliminary Studies on Atmospheric Monitoring by Employing a Portable Unmanned Mie-Scattering Scheimpflug Lidar System

Zhi

et al. 2019

Remote Sensing

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“…The lidar data have complex structures [16,17] and mass storage [18] because the lidar data contained many atmospheric parameters with strong correlations. The abovementioned storage methods have not been applied successfully to atmospheric lidar data storage.…”

Section: Introductionmentioning

confidence: 99%

Atmospheric Lidar Data Storage Model Based on Ontology

Chen¹,

Hua²,

Zhang³

et al. 2017

Scientific Programming

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Ontology is an effective method to solve the problem of heterogeneous data in lidar measurements. Due to complexity and diversity of data structure, traditional method of ontology storage cannot be directly applied to lidar data. In this work, we proposed a novel ontology storage model based on the object-oriented data model, in which the mapping mechanism was established from ontology of lidar data to the object-oriented data model. A new storage model of lidar data is then obtained by a combination of the characteristics of lidar data and the syntax of OWL DL. Compared to the traditional method of ontology storage, we believe that the new storage model can better serve the sharing of lidar data.

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“…Mie lidars are widely used for atmospheric measurements due to their simple construction and low laser requirements [1,2]. However, the two unknowns, the backscattering and extinction coefficients of particles, in the Mie lidar equation cannot be resolved except by assuming the ratio of the two parameters [3].…”

Section: Introductionmentioning

confidence: 99%

Development of High Spectral Resolution Lidar System for Measuring Aerosol and Cloud

Zhao¹,

Xie²,

Zhong³

et al. 2015

Journal of the Optical Society of Korea

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A high spectral resolution lidar (HSRL) system based on injection-seeded Nd:YAG laser and iodine absorption filter has been developed for the quantitative measurement of aerosol and cloud. The laser frequency is stabilized at 80 MHz by a frequency locking system and the absorption line of iodine cell is selected at the 1111 line with 2 GHz width. The observations show that the HSRL can provide vertical profiles of particle extinction coefficient, backscattering coefficient and lidar ratio for cloud and aerosol up to 12 km altitude, simultaneously. For the measured cases, the lidar ratios are 10~20 sr for cloud, 28~37 sr for dust, and 58~70 sr for urban pollution aerosol. It reveals the potential of HSRL to distinguish the type of aerosol and cloud. Time series measurements are given and demonstrate that the HSRL has ability to continuously observe the aerosol and cloud for day and night.

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Study of the scanning lidar on the atmospheric detection

Cited by 28 publications

References 12 publications

Preliminary Studies on Atmospheric Monitoring by Employing a Portable Unmanned Mie-Scattering Scheimpflug Lidar System

Preliminary Studies on Atmospheric Monitoring by Employing a Portable Unmanned Mie-Scattering Scheimpflug Lidar System

Atmospheric Lidar Data Storage Model Based on Ontology

Development of High Spectral Resolution Lidar System for Measuring Aerosol and Cloud

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