The second case addresses the detailed characteristics of dust generated from bulk materials transport.
In this paper, efforts have been made to utilize multi sensor data to study the characteristics of dust storms.
MODIS satellite imagery during 16 of these DEDs was analyzed to identify dust plumes, and assess the characteristics of dust source areas.
Sabetkar and Dorranian [22] investigated the nonextensive effects on the characteristics of dust acoustic solitary waves in magnetized dusty plasma with two temperature isothermal ions.
This implies that the characteristics of dust lattice modes coupling can be effectively controlled externally, due to gradients by experimental conditions.
The proposed technique relies on a classification algorithm, which aims to identify the characteristics of dust especially in terms of shape and accumulation speed.
In this study, our target is to investigate the effects of dust concentration, kinematic viscosity, superthermality of electrons and ions and the strength of ambient magnetic field on the characteristics of dust acoustic shocks.
More recently, Sabetkar and Dorranian [48] investigated the characteristics of dust acoustic solitary waves (DASWs) in a plasma composed of two populations of ions, electrons and negatively charged dust.
However, in carrying out the investigation on the effect of dust and particulate pollution, the physical characteristics of dust must be determined and correlated to the observed effects [7].
Local interstellar dust shows the characteristics of dust in low density clouds, with high gas phase abundances of refractory elements that have been processed by ~ 150 km s−1 shocks.
Since nonlinear, dissipation and dispersion coefficients are dependent on the various physical parameters, it is important to trace the influence of such parameters on the characteristics of dust acoustic shock waves through the variations in various coefficients.
