Quantifying the large-scale electrification equilibrium effects in dust storms using field observations at Qingtu Lake Observatory
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Published:2018-12-04
Issue:23
Volume:18
Page:17087-17097
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Zhang HuanORCID, Zheng Xiaojing
Abstract
Abstract. Dust and sand electrification, which is a ubiquitous phenomenon in dust events,
has a potentially dramatic effect on dust and sand lifting and transport
processes. However, the effect of such electrification is still largely
unclear, mainly due to its complexity and sparse observations. Here, we
conducted an extensive observational analysis involving mild and severe dust
storms with minimum visibility, ranging from ∼0.09 to 0.93 km, to
assess the electrical properties of airborne dust particles in dust storms.
The space charge density has been estimated indirectly based on Gauss's law.
Using the wavelet coherence analysis that is a method for evaluating the
correlations between two non-stationary time series in the time–frequency
domain, we found that the space charge density and dust concentration were
significantly correlated over the 10 min timescales (on the order of the
typical integral timescale of atmospheric turbulence). We further presented
a simple linear regression (SLR) model to quantify such large timescale
correlations and found that there was a significant linear relationship
between space charge density and dust concentration at given ambient
temperature and relative humidity (RH), suggesting that the estimated mean
charge-to-mass ratio of dust particles was expected to remain constant
(termed as the equilibrium value μ∗). In addition, the influences
of ambient temperature and RH on μ∗ were evaluated by a multiple
linear regression (MLR) model, showing that the μ∗ is nonlinearly
related to environmental factors. The present study provides observational
evidence for the environmental-dependent electrification equilibrium effects
in dust storms. This finding may reduce challenges in future quantifications
of dust electrification, as it is possible to exclude effects, such as the
particles' collisional dynamics, on dust electrification.
Funder
National Natural Science Foundation of China
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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