Fourier transform infrared spectroscopy is an efficient technique for the detection and quantification of molecules in gas mixtures. Measurement results from a mobile laboratory for ambient air analysis and for remote sensing of plume emission with the commercially available K300 spectrometer are reported. CO, CO(2), NO, NO(2), N(2)O, NH(3), CH(4), SO(2), H(2)O, HCl, and HCHO concentrations have been determined with good agreement with in situ results. The on-line multicomponent analysis software is based on line-by-line retrieval and least-squares fitting procedures, including the effects of multiple aerosol scattering and cloud and rain influences.
New environmental control strategies and innovative and cost-effective measurement techniques are needed more and more because of increasing regulatory requirements for the limitation of greenhouse gas and other pollutant emissions from industrial facilities. Fourier-Transform-Infrared-Spectroscopy (FTIS) offers a great potential for remote sensing of plume emissions. A high-resolution K300 spectrometer together with a multi-component analysis software was used inside a mobile environmental laboratory to quantify effluent concentrations in plumes of smoke stacks and flares. The software is based on radiative transfer line-by-line calculations and least-square fit procedures. Several measurement results are described applying the remote emission control FTIS technique. Estimates of the regional air pollution due to an ensemble of small building smoke stacks are given. Measurements are reported to quantify unburned methane from elevated flares.
Effective measurement techniques are required to assess the environmental impacts of various emission sources in industry and agriculture. Open-path Fourier-Transform-Infrared-Spectroscopy (FTIS) is an efficient method especially for diffuse source monitoring. Based on measurements with the high-resolution K300 spectrometer operating inside a mobile laboratory for air pollution remote sensing, path-averaged concentrations of C02, N20, CH4, NH3, CO, NO, and HCHO in extended area plumes are retrieved. The analysis software uses radiative transfer line-by-line calculations and least-square fit procedures. Emission rates are calculated from these values and simultaneously recorded meteorological data using a Gaussian plume dispersion model. The methodology is discussed and examples are given for emission rate estimates including industrial and agricultural areas, highways, waste disposal sites, and forest fires.
Cost-effective measurement techniques are required to assess environmental impacts of various emission sources in industry and agriculture. Fourier-Transform-Infrared-Spectroscopy (FTIS) has a great potential in this field due to the multi-component nature of the measurements. Many compounds can be quantified from one single infrared spectrum. Gas releases from large compost heaps strongly contribute to the emission of greenhouse gases and other pollutants. Both openpath and extractive FTIS measurements were performed using the high-resolution K300 spectrometer operating inside a mobile laboratory for air pollution detection. The analysis software is based on a line-by-line radiative transfer algorithm and least-square fit procedures. Quantitative results of several measurement campaigns to analyse compost emissions are described. Emission rates are calculated from the concentration values and simultaneously recorded meteorological data using a Gaussian plume dispersion model.
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