Spatial temporal pattern of carbon dioxide emission from vehicle
نویسندگان
چکیده
Abstract Carbon dioxide (CO 2 ) emission is a global environmental issue, and it considered as triggered climate change. One of source contribute to CO transportation sector which are increasing at much faster rate than Gross Domestic Product growth. This paper present evaluate spatial temporal pattern emissions from vehicle using satellite Sentinel 5P image. The image was obtained European Space Agency year 2019 until 2021. These data were processed through ArcGIS software 10.5 extract value the presented in total column amount. Subsequently, by point method on road feature based basemap Mukim Kajang carried out transportation. Then, mapping achieved kernel density analysis, can be used identify hotspot areas. result show higher September (0.06964 mol/m ), March 2020 (0.03596 December 2021 (0.0437 respectively. Among three highest vehicle-related hotspots Kajang, high-emission literally covered entire Bandar whereas Baru Bangi Serdang had decrease for (3) consecutive years. In nutshell, output this study should able aid local authority such Federal Ministry Environment decision-making wise especially developing related strategies reduce emissions.
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ژورنال
عنوان ژورنال: IOP conference series
سال: 2023
ISSN: ['1757-899X', '1757-8981']
DOI: https://doi.org/10.1088/1755-1315/1167/1/012009