rp ''= 1/St . (v(r,t) - rp' - Wterminal n)
…. Equation 2 (T. Haszpra and T. Tél, 2011)
where v (r, t) is the flow field, Wterminal is the
dimensionless terminal velocity in still fluid, and n is an
upward-pointing unit vector. The units of velocity and distance are
characteristic velocity units, U and L, respectively. The dimensionless
relaxation period of inertial particles exposed to Stokes drag is
denoted by the Stokes number (St). Typically, the limit of St0 in
(equation 2) indicates finite acceleration only if the parenthesis on
the right-hand side disappears, and the large-scale equation of motion
for aerosol particles becomes even simpler than before. On the contrary,
the inertial effects are minor, but deposition must be considered with a
terminal velocity in the vertical direction.
In this paper, we used magnitude spectrum to get the relative intensity
of the BH1 frequency channel from HTHH eruption event on
15th January 2022 at 4:12 UTC can be seen in Fig. 1.
For charting vibration spectra, logarithmic amplitude scaling is
preferable to linear amplitude scaling because it allows for better
evaluation of extremely tiny components in a spectrum. Linear amplitude
scaling makes the larger components of a spectrum highly visible and
easy to analyse, but it might make very small components impossible to
perceive. The technique of spectral balancing is used to flatten the
frequency content and amplitude spectra of seismic data. This approach
can increase vertical resolution in seismic amplitude volumes by
revealing narrow channels and visible edges. Following spectral
balancing, energy ratio coherence can be applied to both the input data
and the spectrally balanced data. Spectral decomposition may also be
used to spectrally balanced versions of raw seismic data, allowing equal
time slices to be computed from speech component volumes.
To summarise, spectral magnitude is an energy measurement that
corresponds with the trace in seismic data. The seismic moment and
magnitude can be estimated via spectral analysis as shown in Fig. 1.