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Structural contribution and scenario simulation of highway passenger transit carbon emissions in the Beijing-Tianjin-Hebei metropolitan region, China

机译:中国北京 - 天津 - 河北大都市地区公路旅客过境碳排放的结构贡献及情景模拟

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The rapid growth of energy consumption and resulting CO2 emissions from transportation in China present challenges for decision makers in resolving a balance between demands for energy and environmental sustainability. In China, the major source of carbon (C) emissions derives from the transit system, and this problem is of particular interest in metropolitan regions, however there is a lack of clarity on past and projected future trends of C emissions from transit. This study aimed to model recent (2005-2014) historical spatio-temporal highway passenger transit C emissions (HPTCEs) in the Beijing-Tianjin-Hebei urban region, and to predict future emissions to 2030 under three simulated contrasting management scenarios. We used a long-range energy alternative planning system (LEAP) model to predict emissions under baseline, business as usual growth, and partial and total emission control scenarios. Modeling showed that the total emission control scenario resulted in greater reductions in C emission compared with the baseline growth and partial control scenarios, however, regional total C emissions were predicted to continue to rise by 2030 under all three scenarios. C emissions per passenger kilometer were predicted to decrease over time, while total regional C emissions continued to rise and increase pressure for decision makers to reduce regional C emissions. While HPTCEs were historically greater in Beijing and Tianjin, those from Hebei Province had recently sharply increased to levels greater than in Beijing and Tianjin, and this trend was predicted to continue. This study demonstrates that science-based policy intervention and regulations could reduce C emissions in metropolitan areas.
机译:能源消耗的快速增长以及中国运输的二氧化碳排放对决策者的挑战取决于解决能源和环境可持续性需求之间的平衡。在中国,碳(C)排放的主要来源来自过境系统,这一问题对大都市地区特别感兴趣,然而缺乏过去的途径和未来的过境的C排放趋势。本研究旨在北京 - 天津 - 河北市区近期(2005 - 2014年)历史时空公路旅客过境C排放(HPTCE),并在三个模拟对比管理情景下预测2030年的未来排放量。我们使用了远程能源替代计划系统(LEAP)模型来预测基线下的排放,业务正常增长,部分和总排放控制方案。建模表明,与基线增长和部分控制情景相比,总排放控制方案导致C排放量大减少,然而,预计区域总减排将在所有三种情况下继续增加2030。每公里的C排放量预计随着时间的推移减少,而区域C排放量持续上升和增加决策者减少区域C排放的压力。虽然北京和天津居住在历史上更大,但河北省的人最近比北京和天津大幅增加至大幅度,而这一趋势将继续持续下去。本研究表明,科学的政策干预和法规可以减少大都市地区的C排放。

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