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Dust flow analysis by low coherence Doppler lidar

Visualization of dust flow and wind dynamics near the ground surface are essential for understanding the mixing and interaction between geosphere and atmosphere near the surface. Knowing the temporal dust flow is beneficial in dealing with air pollution and health issues. Dust flows near the ground...

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Autores principales: Okubo, Kosuke, Lagrosas, Nofel, Shiina, Tatsuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008524/
https://www.ncbi.nlm.nih.gov/pubmed/36906725
http://dx.doi.org/10.1038/s41598-023-30346-z
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author Okubo, Kosuke
Lagrosas, Nofel
Shiina, Tatsuo
author_facet Okubo, Kosuke
Lagrosas, Nofel
Shiina, Tatsuo
author_sort Okubo, Kosuke
collection PubMed
description Visualization of dust flow and wind dynamics near the ground surface are essential for understanding the mixing and interaction between geosphere and atmosphere near the surface. Knowing the temporal dust flow is beneficial in dealing with air pollution and health issues. Dust flows near the ground surface are difficult to monitor because of their small temporal and spatial scale. In this study, we propose a low-coherence Doppler lidar (LCDL) for measuring dust flow near the ground with high temporal and spatial resolutions of 5 ms and 1 m, respectively. We demonstrate the performance of LCDL in laboratory experiments using flour and calcium carbonate particles released into the wind tunnel. LCDL experiment results show a good agreement with anemometer measurement in wind speeds ranging from 0 to 5 m/s. The LCDL technique can reveal dust’s speed distribution, which is affected by mass and particle size. As a result, different speed distribution profiles can be used to determine dust type. The simulation results of dust flow coincide well with the experimental results.
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spelling pubmed-100085242023-03-13 Dust flow analysis by low coherence Doppler lidar Okubo, Kosuke Lagrosas, Nofel Shiina, Tatsuo Sci Rep Article Visualization of dust flow and wind dynamics near the ground surface are essential for understanding the mixing and interaction between geosphere and atmosphere near the surface. Knowing the temporal dust flow is beneficial in dealing with air pollution and health issues. Dust flows near the ground surface are difficult to monitor because of their small temporal and spatial scale. In this study, we propose a low-coherence Doppler lidar (LCDL) for measuring dust flow near the ground with high temporal and spatial resolutions of 5 ms and 1 m, respectively. We demonstrate the performance of LCDL in laboratory experiments using flour and calcium carbonate particles released into the wind tunnel. LCDL experiment results show a good agreement with anemometer measurement in wind speeds ranging from 0 to 5 m/s. The LCDL technique can reveal dust’s speed distribution, which is affected by mass and particle size. As a result, different speed distribution profiles can be used to determine dust type. The simulation results of dust flow coincide well with the experimental results. Nature Publishing Group UK 2023-03-11 /pmc/articles/PMC10008524/ /pubmed/36906725 http://dx.doi.org/10.1038/s41598-023-30346-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Okubo, Kosuke
Lagrosas, Nofel
Shiina, Tatsuo
Dust flow analysis by low coherence Doppler lidar
title Dust flow analysis by low coherence Doppler lidar
title_full Dust flow analysis by low coherence Doppler lidar
title_fullStr Dust flow analysis by low coherence Doppler lidar
title_full_unstemmed Dust flow analysis by low coherence Doppler lidar
title_short Dust flow analysis by low coherence Doppler lidar
title_sort dust flow analysis by low coherence doppler lidar
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008524/
https://www.ncbi.nlm.nih.gov/pubmed/36906725
http://dx.doi.org/10.1038/s41598-023-30346-z
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