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Development of an Automatic Polarization Raman LiDAR for Aerosol Monitoring over Complex Terrain

High temporal and spatial resolution profiling of aerosol properties is required to study air pollution sources, aerosol transport, and features of atmospheric structures over complex terrain. A polarization Raman LiDAR with remote operation capability was developed for this purpose and deployed in...

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Autores principales: Wang, Longlong, Stanič, Samo, Eichinger, William, Song, Xiaoquan, Zavrtanik, Marko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679332/
https://www.ncbi.nlm.nih.gov/pubmed/31331054
http://dx.doi.org/10.3390/s19143186
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author Wang, Longlong
Stanič, Samo
Eichinger, William
Song, Xiaoquan
Zavrtanik, Marko
author_facet Wang, Longlong
Stanič, Samo
Eichinger, William
Song, Xiaoquan
Zavrtanik, Marko
author_sort Wang, Longlong
collection PubMed
description High temporal and spatial resolution profiling of aerosol properties is required to study air pollution sources, aerosol transport, and features of atmospheric structures over complex terrain. A polarization Raman LiDAR with remote operation capability was developed for this purpose and deployed in the Vipava Valley, Slovenia, a location in the Alpine region where high concentrations of aerosols originating from a number of different local and remote sources were found. The system employs two high-power Nd:YAG pulsed lasers at 355 nm and 1064 nm as transmitters and provides the capability to extract the extinction coefficient, backscatter coefficients, depolarization ratio, Ångström exponent, and LiDAR ratio profiles. Automatized remote operation in an indoor environment provides a high duty cycle in all weather conditions. In addition to the detailed description of the device, an assessment of its potential and the retrieval uncertainties of the measured quantities is discussed. System optimization and performance studies include calibration of the depolarization ratio, merging of near-range (analog) and far-range (photon counting) data, determination of overlap functions, and validation of the retrieved observables with radiosonde data. Two cases for assessing LiDAR performance under specific weather conditions (during rain and in the presence of mineral dust) are also presented.
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spelling pubmed-66793322019-08-19 Development of an Automatic Polarization Raman LiDAR for Aerosol Monitoring over Complex Terrain Wang, Longlong Stanič, Samo Eichinger, William Song, Xiaoquan Zavrtanik, Marko Sensors (Basel) Article High temporal and spatial resolution profiling of aerosol properties is required to study air pollution sources, aerosol transport, and features of atmospheric structures over complex terrain. A polarization Raman LiDAR with remote operation capability was developed for this purpose and deployed in the Vipava Valley, Slovenia, a location in the Alpine region where high concentrations of aerosols originating from a number of different local and remote sources were found. The system employs two high-power Nd:YAG pulsed lasers at 355 nm and 1064 nm as transmitters and provides the capability to extract the extinction coefficient, backscatter coefficients, depolarization ratio, Ångström exponent, and LiDAR ratio profiles. Automatized remote operation in an indoor environment provides a high duty cycle in all weather conditions. In addition to the detailed description of the device, an assessment of its potential and the retrieval uncertainties of the measured quantities is discussed. System optimization and performance studies include calibration of the depolarization ratio, merging of near-range (analog) and far-range (photon counting) data, determination of overlap functions, and validation of the retrieved observables with radiosonde data. Two cases for assessing LiDAR performance under specific weather conditions (during rain and in the presence of mineral dust) are also presented. MDPI 2019-07-19 /pmc/articles/PMC6679332/ /pubmed/31331054 http://dx.doi.org/10.3390/s19143186 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Longlong
Stanič, Samo
Eichinger, William
Song, Xiaoquan
Zavrtanik, Marko
Development of an Automatic Polarization Raman LiDAR for Aerosol Monitoring over Complex Terrain
title Development of an Automatic Polarization Raman LiDAR for Aerosol Monitoring over Complex Terrain
title_full Development of an Automatic Polarization Raman LiDAR for Aerosol Monitoring over Complex Terrain
title_fullStr Development of an Automatic Polarization Raman LiDAR for Aerosol Monitoring over Complex Terrain
title_full_unstemmed Development of an Automatic Polarization Raman LiDAR for Aerosol Monitoring over Complex Terrain
title_short Development of an Automatic Polarization Raman LiDAR for Aerosol Monitoring over Complex Terrain
title_sort development of an automatic polarization raman lidar for aerosol monitoring over complex terrain
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679332/
https://www.ncbi.nlm.nih.gov/pubmed/31331054
http://dx.doi.org/10.3390/s19143186
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