Cargando…
Reconstructing the electrical structure of dust storms from locally observed electric field data
While the electrification of dust storms is known to substantially affect the lifting and transport of dust particles, the electrical structure of dust storms and its underlying charge separation mechanisms are largely unclear. Here we present an inversion method, which is based on the Tikhonov regu...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7544890/ https://www.ncbi.nlm.nih.gov/pubmed/33033243 http://dx.doi.org/10.1038/s41467-020-18759-0 |
_version_ | 1783591926316924928 |
---|---|
author | Zhang, Huan Zhou, You-He |
author_facet | Zhang, Huan Zhou, You-He |
author_sort | Zhang, Huan |
collection | PubMed |
description | While the electrification of dust storms is known to substantially affect the lifting and transport of dust particles, the electrical structure of dust storms and its underlying charge separation mechanisms are largely unclear. Here we present an inversion method, which is based on the Tikhonov regularization for inverting the electric field data collected in a near-ground observation array, to reconstruct the space-charge density and electric field in dust storms. After verifying the stability, robustness, and accuracy of the inversion procedure, we find that the reconstructed space-charge density exhibits a universal three-dimensional mosaic pattern of oppositely charged regions, probably due to the charge separation by turbulence. Furthermore, there are significant linear relationships between the reconstructed space-charge densities and measured PM(10) dust concentrations at each measurement point, suggesting a multi-point large-scale charge equilibrium phenomenon in dust storms. These findings refine our understanding of charge separation mechanisms and particle transport in dust storms. |
format | Online Article Text |
id | pubmed-7544890 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75448902020-10-19 Reconstructing the electrical structure of dust storms from locally observed electric field data Zhang, Huan Zhou, You-He Nat Commun Article While the electrification of dust storms is known to substantially affect the lifting and transport of dust particles, the electrical structure of dust storms and its underlying charge separation mechanisms are largely unclear. Here we present an inversion method, which is based on the Tikhonov regularization for inverting the electric field data collected in a near-ground observation array, to reconstruct the space-charge density and electric field in dust storms. After verifying the stability, robustness, and accuracy of the inversion procedure, we find that the reconstructed space-charge density exhibits a universal three-dimensional mosaic pattern of oppositely charged regions, probably due to the charge separation by turbulence. Furthermore, there are significant linear relationships between the reconstructed space-charge densities and measured PM(10) dust concentrations at each measurement point, suggesting a multi-point large-scale charge equilibrium phenomenon in dust storms. These findings refine our understanding of charge separation mechanisms and particle transport in dust storms. Nature Publishing Group UK 2020-10-08 /pmc/articles/PMC7544890/ /pubmed/33033243 http://dx.doi.org/10.1038/s41467-020-18759-0 Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Zhang, Huan Zhou, You-He Reconstructing the electrical structure of dust storms from locally observed electric field data |
title | Reconstructing the electrical structure of dust storms from locally observed electric field data |
title_full | Reconstructing the electrical structure of dust storms from locally observed electric field data |
title_fullStr | Reconstructing the electrical structure of dust storms from locally observed electric field data |
title_full_unstemmed | Reconstructing the electrical structure of dust storms from locally observed electric field data |
title_short | Reconstructing the electrical structure of dust storms from locally observed electric field data |
title_sort | reconstructing the electrical structure of dust storms from locally observed electric field data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7544890/ https://www.ncbi.nlm.nih.gov/pubmed/33033243 http://dx.doi.org/10.1038/s41467-020-18759-0 |
work_keys_str_mv | AT zhanghuan reconstructingtheelectricalstructureofduststormsfromlocallyobservedelectricfielddata AT zhouyouhe reconstructingtheelectricalstructureofduststormsfromlocallyobservedelectricfielddata |