Quantitatively Remote Sensing Detection of the Polluted Cloud Spectra the Complicated Environments by Passive Fourier Transform Infrared Spectrometer
复杂背景下被动FTIS定量遥感污染云团光谱

A model of simulated spectra for pollution cloud in a complicated environment is proposed. Using large background and target-gas spectra which are measured by passive Fourier transform infrared spectrometer (FTIS) and least-squares fitting procedures, we have simulated successfully the spectra of pollution gas. Simultaneously, the feature Parameters for pollution cloud, column density and effective radiative temperature of gas are given. The system can be operated in many different air pollution locations, e.g., industrial plants, airports, crossroads, garbage-disposal sites, to determine passively the gas molecules concentrations of CO, CO2, NO, NO2, N2O, NH3, CH4, SO2, H2O, HCl and HCHO in plumes. Finally, we discuss in detail the simulated results for simulant.