伊朗塔布里兹出租车的燃油消耗和排放模型:不确定性和敏感性分析
Pari Teymouri1,2,3, Parvin Sarbakhsh4, Hassan Taghipour2,3
1Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
概括
塔布里兹出租车队 (TTF) 显示高燃油消耗和排放因子,超过标准. 随着COVID-19大流行,整体排放量减少,但每乘客排放量增加,凸显了可持续策略的必要性.
科学领域:
- 环境科学 环境科学
- 运输工程 运输工程
- 气候变化研究 气候变化研究
背景情况:
- 出租车对空气污染和气候变化做出了重大贡献,特别是在发展中国家.
- 关于出租车车队在伊朗等地区对环境的影响的数据有限.
研究的目的:
- 为了估计伊朗塔布里兹出租车队 (TTF) 的燃料消耗和排放库存.
- 分析出租车年龄,里程和COVID-19大流行对燃料消耗和排放的影响.
主要方法:
- 使用结构化问卷和文献评论来收集操作数据.
- 采用建模技术来估计燃油消耗比率 (FCR),排放因子 (EF) 和年度排放.
- 进行了不确定性分析,并考虑了COVID-19大流行的影响.
主要成果:
- TTF表现出高的FCR (18.68 L/100 km),不受出租车年龄或里程的影响.
- 据估计,TTF的EF高于欧元标准,这表明潜在的检查效率低下.
- COVID-19导致总FC和排放量减少,但每乘客公里排放量增加.
结论:
- 该研究强调了TTF对环境的重大影响,其高燃油消耗和排放因子.
- 监管技术检查中的低效率可能导致排放因子升高.
- 对TTF的可持续燃料消耗和减排策略进行进一步的研究至关重要.
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