Reconstructing the electrical structure of dust storms from locally observed electric field data

Huan Zhang and You-He Zhou ()
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Huan Zhang: Lanzhou University
You-He Zhou: Lanzhou University

Nature Communications, 2020, vol. 11, issue 1, 1-12

Abstract: Abstract 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 PM10 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.

Date: 2020
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DOI: 10.1038/s41467-020-18759-0

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