Flender/Flender Gear Units/Helical gear Reduction Box H2
at the exhaust gas plume via the mirror. 3.3 Investigations of the evaluation method In order to improve the method

of remote sensing measurement with the K3, several meas- ures and investigations were carried out: - The influence of aerosol

dispersion on the measuring results was systematically invest- igated. It was found that the influence of the aerosol can be

great in the event of weak IR signature (.. with SO. In the case of strong IR signatures, the influence

of aerosols is occasionally negligible. for remote sensing measurements with the K3 1 ---_ _- --- - The influence of cross-sensitivity caused by water vapour was discussed. This applies - The influence of meteorological parameters on remote sensing measurements was - The software algorithms for quantitative analysis of remote sensing measurements were 3.4 Emission measurements with the mobile measuring system Several measuring series were conducted at total of six different power stations. These in- cluded gas and brown coal-fired power stations, as well as refuse incineration plant. Thefol- lowing were measured in chimney exhaust gases: ,, CO,, CO, NO, ,, NO,, SO2 and HCI. The concentration values measured by remote sensing with the K3 were compared with the 1 mean in-situ half-hour values from the plant operators.The correlation between the K3 and the in-situ values for the individual substances is shown below: - ,: The relative deviations between the K3 remote sensing values and the in-situ values were between 2.0 and 2.0% - CO,: Rel. deviations to in-situ: 0.5 to 2.0% - CO: Rel. deviations: 3.5 to 2.0% - SO,: The measurements were performed in the new Federal Lander. No in-situ values were available there. - NO: Rel. deviations: 1.0 to 6.0% - NO,: No in-situ values - N2: No in-situ values - HCI: especially to NO analysis. discussed. optimised. , Rel. deviations: 1.0 to 3.5% 3.5 immission measurements Several immission measurementserieswereconducted The main fo