Multi-scale characteristics of the spatial distribution of space charge density that determines the vertical electric field during dust storms

Bo, Tang; Li, Fang

doi:10.1007/s10035-022-01293-9

Granular Matter

2022

DOI: 10.1007/s10035-022-01293-9

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Multi-scale characteristics of the spatial distribution of space charge density that determines the vertical electric field during dust storms

Tang Bo

Fang Li

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2023

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Cited by 2 publications

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Three distinct scales dominate the role of eolian electric fields in dust turbulent transport

Zhang,

Liu

2023

Physics of Fluids

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Although previous studies have shown that eolian electric fields significantly alter the lifting and dynamics of dust particles, they are limited to mean fields. The effects of eolian electric fields on the dust turbulent transport have not been reported before. Here, by combing the observational data and wavelet-based spectral analysis, we find that eolian electric fields enhance the vertical turbulent transport of dust particles in the near-surface layer and exhibit three distinct crucial scales. Specifically, the eolian electric fields exhibit a dominant promoting effect at the kilometer-sized synoptic scale, a secondary suppressive effect at the hectometer-sized very-large-scale motion scale, and a negligible effect at the decameter-sized turbulent integral scale. Such scale-dependent electrical effects can be explained by the fact that the linear coupling between vertical eolian electric field and dust concentration is strongest at the synoptic scale, followed by the very-large-scale motion scale, and is weakest at the turbulent integral scale.

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Three distinct scales dominate the role of eolian electric fields in dust turbulent transport

Zhang,

Liu

2023

Physics of Fluids

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Detection of Background Water Leaks Using a High-Resolution Dyadic Transform

Trutié-Carrero

Seuret-Jiménez

Nieto-Jalil

et al. 2023

Water

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This article solves the problem of detecting water leaks with a minimum size of down to 1 mm in diameter. Two new mathematical tools are used to solve this problem: the first one is the Te cross-spectral density and the second is Te coherence. These mathematical tools provide the possibility of discriminating spurious frequency components, making use of the property of multi-sensitivity. This advantage makes it possible to maximize the sensitivity of the frequency spectrum. The wavelet function used was Daubechies 45, because it provides an attenuation of 150 dB in the rejection band. The tools were validated with two scenarios. For the first scenario, a synthetic signal was analyzed. In the second scenario, two types of background leakage were analyzed: the first one has a diameter of 1 mm with a signal-to-noise ratio of 2.82 dB and flow rate of 33.7 mL/s, and the second one has a diameter of 4 mm with a signal-to-noise ratio of 9.73 dB with a flow rate of 125.0 mL/s. The results reported in this paper show that both the Te cross-spectral density and Te coherence are higher than those reported in scientific literature.

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Multi-scale characteristics of the spatial distribution of space charge density that determines the vertical electric field during dust storms

Cited by 2 publications

References 32 publications

Three distinct scales dominate the role of eolian electric fields in dust turbulent transport

Three distinct scales dominate the role of eolian electric fields in dust turbulent transport

Detection of Background Water Leaks Using a High-Resolution Dyadic Transform

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