Research on Carbon Emissions of Road Traffic in Chengdu City Based on a LEAP Model

温室气体 碳纤维 环境科学 道路交通 能源消耗 环境工程 运输工程 工程类 计算机科学 生态学 算法 生物 复合数 电气工程
作者
Junjie Wang,Yuan Li,Yi Zhang
出处
期刊:Sustainability [Multidisciplinary Digital Publishing Institute]
卷期号:14 (9): 5625-5625 被引量:18
标识
DOI:10.3390/su14095625
摘要

With the continuous increase in the number of vehicles, the proportion of carbon emissions from road traffic in cities has significantly increased, putting pressure on the overall carbon emission reduction of cities The implementation of low-carbon transportation has, therefore, become crucial to urban emission reductions. Based on the situation of vehicles in Chengdu, this study uses the LEAP model to construct a road traffic development scenario in Chengdu from 2020 to 2025. The research focuses on common greenhouse gases that contribute to carbon emissions such as CO2, N2O, and CH4 from motor vehicles. With current policies being considered, we simulate and evaluate energy consumption and carbon emissions under two energy-saving and emission reduction scenarios: low carbon (LC) and strengthen low carbon (SLC). The results show that carbon emissions significantly improve under the LC scenario, and that the carbon emissions of the road traffic of Chengdu will peak before 2030 under the SLC scenario.

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