Reduction of pollutant concentrations under adverse weather conditions with optical dynamic measurement systems

The paper proves the need for continuous dynamic measurements of increasing of fine dispersion dust concentration in the air under adverse weather conditions. It analyzes stages of process reduction of harmful fine-dispersion dust under adverse meteorological conditions. Special attention is paid to operation of industrial automated process control systems. Special software of these systems supports dynamic measurements and controls procedures decreasing harmful fine-dispersion dust emission. The paper proposes two methods for this emissions decrease. Conducted research enables estimate of impact of combined adverse meteorological conditions. Behavior options of an automated system controlling fine-dispersion dust emissions in atmospheric air are offered.