Sand and dust storms (SDSs) are common phenomena in many parts of the world, which
offer serious hazards to the environment, economy and health. An early warning of the …

Sand and dust storms (SDS) have long been considered as a type of disastrous weather.
Minimizing the severe influence of SDS on the environment and human life has been the …

Enhancing the dust storm detection is a key part for the environmental protection, human
healthy and economic development. The goal of this paper is to propose a new Support …

Awareness about the impact of climate change on the change rate of dust phenomenon has
become a crucial problem due to public health, climate, and air quality. It has been …

This study presents the development of an artificial neural network (ANN) model to
quantitatively estimate the atmospheric aerosol load (in terms of aerosol optical depth …

Dust storms are natural hazards that affect both people and properties. Therefore, it is
important to mitigate their risks by implementing an early notification system. Different …

Dust storms are important phenomena over large regions of the arid and semi-arid areas of
the Middle East. Due to the influences of dust aerosols on climate and human daily activities …

Improving the accuracy of sand and dust storms monitoring can provide effective support for
the safety warning of extreme weather for the power system, which in turn can enhance the …

Quantitative identification of a dust storm weather is key to forecasting and early warning of
dust storm disasters. However, traditional visibility ground-based measurements cannot be …

The dust storm phenomenon is a growing research area motivated by the potential harm that
dust aerosols can cause to human beings, and by advances in remote-sensing technology …