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dc.contributor.advisorSuryati, Isra
dc.contributor.advisorSetyowati, Lies
dc.contributor.authorNadila, Rizka
dc.date.accessioned2023-06-12T02:48:39Z
dc.date.available2023-06-12T02:48:39Z
dc.date.issued2023
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/85455
dc.description.abstractTransportation is an important means to facilitate the movement of people and goods in modern society. The use of fossil fuels in the transportation sector produces considerable emissions. Emissions generated from the transportation sector can increase the temperature on the surface of the earth around 75%. The greenhouse gases (GHGs) produced from the transportation sector are CO2, N2O and CH4 gases. Greenhouse gases produced from the transportation sector have a major impact on climate change and global warming. The increase in the amount of transportation in 2018-2020 in the City of Binjai is directly proportional to the increase in the amount of gas emissions produced. The purpose of this study is to determine the amount of greenhouse gas emissions produced from twelve roads in Binjai City, projecting it to 2026, mapping greenhouse gas emissions using ArcGis software, and calculating GHGs emission reductions by applying the principles of the ASI framework. This research method is a quantitative method with traffic counting to calculate the number and types of vehicles on twelve roads in Binjai City. The method of calculating the data in this study was carried out according to the Tier-2 method, namely by multiplying the number of vehicles by the length of the road section and the emission factor. Based on the research results it is known that the burden of greenhouse gas emissions resulting from twelve roads in Binjai City in 2022 is 70.452 g CO2eq/hour – 14.067.967g CO2eq/hour on weekdays and 68.177 g CO2eq/hour – 11.582.528 g CO2eq/hour on weekends. The projected GHG emission load in 2026 is 131.735 g CO2eq/hour – 26.302.427 g CO2eq/hour on weekdays and 127.643 g CO2eq/hour – 21.685.123 g CO2eq/hour on weekends. There are 6 color classifications in the mapping of greenhouse gas emissions in this study. The scenario chosen for reducing GHG emissions on twelve roads in Binjai City is the transfer of private transportation modes to mass transportation, the mass transportation in question is the Trans Binjai Bus with a plan to divert fuel using gas fuel (CNG) with a percentage of GHG emission reductions in 2022 by 39,4% - 40,2% and the percentage of GHG emission reduction in 2026 is 39,4% - 40,1%.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectASI frameworken_US
dc.subjectGreenhouse Gas Emissionsen_US
dc.subjectBinjai Cityen_US
dc.subjectTransportation.en_US
dc.titleStudi Inventarisasi Emisi Gas Rumah Kaca (Co2, N2o, dan Ch4) dari Sektor Transportasi darat di Kota Binjaien_US
dc.typeThesisen_US
dc.identifier.nimNIM180407004
dc.identifier.nidnNIDN0022067909
dc.identifier.kodeprodiKODEPRODI25201#Teknik Lingkungan
dc.description.pages177 Halamanen_US
dc.description.typeSkripsi Sarjanaen_US


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