Modeling and Feasibility Recognition of Dust Air Pollutant Based on Terahertz Time-Domain Spectroscopy

The ability to detect and recognize a variety of gaseous and dust pollutant under certain environmental condition is a significant potential which has received more attention in many areas such as academic studies, environmental problems and industrial domain. Up to now, identification of gaseous and dust species had been based on infra-red spectroscopy. Because of simple and unique spectral features of various pollutant in the THz range leading to finger-print characteristics, THz time-domain spectroscopy (THz-TDS) shows promise as a tool for gas detection and recognition. To this end, in this paper THz-TDS technique has been investigated in order to real time and fast dust detection. Additionally, detection of HMX and RDX dust has been modeled based on THz-TDS. The simulation of presented models shows that THz-TDS is a high sensitive and accurate technique for real-time dust and pollutant detection. So, detection of low concentration of dust pollutant can be identified in less than one second. Finally, based on this method the pollutant can be identified by comparing obtained absorption spectrum with database including spectral features of environmental pollutant.