Detekce nadměrných emisí částic dálkovým měřením - vliv odstupů, jízdních režimů a měřítka částic

Abstract

This master thesis deals with detection of high nitrogen oxide (NOX) and particulate matter emitting passages from vehicles of different types (heavy-duty vehicle, light-commercial vehicles, and two-wheeler vehicles) and different fuel type (diesel and gasoline) by remote sensing method. The study made in this thesis is to analyze the data from the experiment (H2020 City Air Remote Sensing Project) performed by two universities- Czech Technical University (CTU) and Czech University of Life Sciences (CZU) from two different sampling point locations. Emission factors of individual vehicle passages are calculated per kg of fuel based on NO/CO2 and PN/CO2 ratios determined by linear regression method and the data are analyzed considering limit of detection, limit of quantification, threshold limit and the correlation of detected concentration of pollutants with respect to concentration of CO2. The results of the analysis are summarized to get sampling point location, suitability of instruments and vehicle spacing in determining the high emitters in real driving world by remote sensing method.

This master thesis deals with detection of high nitrogen oxide (NOX) and particulate matter emitting passages from vehicles of different types (heavy-duty vehicle, light-commercial vehicles, and two-wheeler vehicles) and different fuel type (diesel and gasoline) by remote sensing method. The study made in this thesis is to analyze the data from the experiment (H2020 City Air Remote Sensing Project) performed by two universities- Czech Technical University (CTU) and Czech University of Life Sciences (CZU) from two different sampling point locations. Emission factors of individual vehicle passages are calculated per kg of fuel based on NO/CO2 and PN/CO2 ratios determined by linear regression method and the data are analyzed considering limit of detection, limit of quantification, threshold limit and the correlation of detected concentration of pollutants with respect to concentration of CO2. The results of the analysis are summarized to get sampling point location, suitability of instruments and vehicle spacing in determining the high emitters in real driving world by remote sensing method.