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Linking the IR transmittance to size and type of volcanic ash particles
Author(s)
Language
English
Obiettivo Specifico
3V. Dinamiche e scenari eruttivi
Status
Published
JCR Journal
JCR Journal
Title of the book
Issue/vol(year)
/118 (2013)
ISSN
0148-0227
Publisher
American Geophysical Union
Pages (printed)
12207–12215
Issued date
2013
Keywords
Abstract
In this work, we applied infrared spectroscopy to investigate the spectral signature of
the volcanic ash particles emitted during the 21–24 July 2001 eruption at Mount Etna, in
Italy. We used a Bruker Equinox-55 Fourier transform infrared spectrometer in the range
7000–600 cm 1 (1.43–16.67 μm) and, for every collected spectrum, an image of the
volcanic ash particles was recorded in the visible spectral range through the same microscope.
These images were then analyzed by standard image analysis software in order to evaluate the
main features of the particle: the length of the major and minor axes (Max and Min L), Feret
diameter (FD), equivalent diameter (ED), and aspect ratio (AR). We measured transmission
spectra in different conditions; spectra of one single particle (Single-Particle Measurement, SPM), spectra of a number of particles from two to ten (Multi-Particle Measurements type 1, MPM1) and of more than a hundred particles (Multi-Particle Measurements type 2, MPM2).
For SPM,Max andMin L range between 5 and 24 μm and 3.5 and 15 μm, FD ranges between
5.5 and 25 μm, ED varies between 5 and 19 μm, and AR between 0.45 and 0.95. For MPM1
and MPM2, the mean values of Max and Min L are between 4–17 μm and 3–10 μm, FD and
ED between 5 and 19 μm and 3.5 and 23 μm, and AR between 0.3 and 1. The optical depth
spectra as a function of the wave number clearly show the presence of the Christiansen effect that produces high transmission at a given frequency in the infrared region (Christiansen frequency). We find that the effect depends on the particle size through a linear relation. Both the Christiansen effect and their relationship with the ash particle effective radius were compared with radiative transfer model simulations using different ash refractive indexes. The combined use of the linear relationship and the spectral position of the Christiansen frequency also indicated the possibility to characterize ash type. All these information can be used to improve the IR remote sensing volcanic ash quantitative estimations.
the volcanic ash particles emitted during the 21–24 July 2001 eruption at Mount Etna, in
Italy. We used a Bruker Equinox-55 Fourier transform infrared spectrometer in the range
7000–600 cm 1 (1.43–16.67 μm) and, for every collected spectrum, an image of the
volcanic ash particles was recorded in the visible spectral range through the same microscope.
These images were then analyzed by standard image analysis software in order to evaluate the
main features of the particle: the length of the major and minor axes (Max and Min L), Feret
diameter (FD), equivalent diameter (ED), and aspect ratio (AR). We measured transmission
spectra in different conditions; spectra of one single particle (Single-Particle Measurement, SPM), spectra of a number of particles from two to ten (Multi-Particle Measurements type 1, MPM1) and of more than a hundred particles (Multi-Particle Measurements type 2, MPM2).
For SPM,Max andMin L range between 5 and 24 μm and 3.5 and 15 μm, FD ranges between
5.5 and 25 μm, ED varies between 5 and 19 μm, and AR between 0.45 and 0.95. For MPM1
and MPM2, the mean values of Max and Min L are between 4–17 μm and 3–10 μm, FD and
ED between 5 and 19 μm and 3.5 and 23 μm, and AR between 0.3 and 1. The optical depth
spectra as a function of the wave number clearly show the presence of the Christiansen effect that produces high transmission at a given frequency in the infrared region (Christiansen frequency). We find that the effect depends on the particle size through a linear relation. Both the Christiansen effect and their relationship with the ash particle effective radius were compared with radiative transfer model simulations using different ash refractive indexes. The combined use of the linear relationship and the spectral position of the Christiansen frequency also indicated the possibility to characterize ash type. All these information can be used to improve the IR remote sensing volcanic ash quantitative estimations.
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