Spatial temporal pattern of carbon dioxide emission from vehicle

Abstract

Abstract Carbon dioxide (CO2) emission is a global environmental issue, and it is considered as triggered climate change. One of source contribute to CO2 emission is transportation sector which are increasing at a much faster rate than Gross Domestic Product growth. This paper present to evaluate spatial temporal pattern of CO2 emissions from vehicle using satellite Sentinel 5P image. The Sentinel 5P image was obtained from European Space Agency from year 2019 until 2021. These data were processed through ArcGIS software 10.5 to extract value of CO2 and the value are presented in total column amount. Subsequently, extract by point method on road feature based on basemap of Mukim Kajang was carried out to obtained value of CO2 emission from transportation. Then, spatial temporal mapping was achieved through kernel density analysis, which can be used to identify the CO2 emission hotspot areas. The result show spatial temporal pattern of CO2 emission was higher in September 2019 (0.06964 mol/m2), March 2020 (0.03596 mol/m2) and December 2021 (0.0437 mol/m2) respectively. Among the three highest vehicle-related CO2 emission hotspots in Mukim Kajang, high-emission literally covered the entire Bandar Kajang, whereas Bandar Baru Bangi and Bandar Serdang had decrease emission for the three (3) consecutive years. In the nutshell, the output of this study should be able to aid the local authority such as Federal Ministry of Environment in decision-making wise especially in developing related strategies to reduce CO2 emissions.