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中国机动车碳排放估算的研究进展

滕文焘 张芊芊 刘芳 应光国

滕文焘, 张芊芊, 刘芳, 应光国. 中国机动车碳排放估算的研究进展[J]. 华南师范大学学报(自然科学版), 2022, 54(3): 83-92. doi: 10.6054/j.jscnun.2022047
引用本文: 滕文焘, 张芊芊, 刘芳, 应光国. 中国机动车碳排放估算的研究进展[J]. 华南师范大学学报(自然科学版), 2022, 54(3): 83-92. doi: 10.6054/j.jscnun.2022047
TENG Wentao, ZHANG Qianqian, LIU Fang, YING Guangguo. The Progress in the Research on Estimation of Vehicle Carbon Emission in China[J]. Journal of South China normal University (Natural Science Edition), 2022, 54(3): 83-92. doi: 10.6054/j.jscnun.2022047
Citation: TENG Wentao, ZHANG Qianqian, LIU Fang, YING Guangguo. The Progress in the Research on Estimation of Vehicle Carbon Emission in China[J]. Journal of South China normal University (Natural Science Edition), 2022, 54(3): 83-92. doi: 10.6054/j.jscnun.2022047

中国机动车碳排放估算的研究进展

doi: 10.6054/j.jscnun.2022047
基金项目: 

国家自然科学基金重点项目 42030703

详细信息
    通讯作者:

    刘芳,Email: liufang77@m.scnu.edu.cn

    应光国, Email: guangguo.ying@m.scnu.edu.cn

  • 中图分类号: J653

The Progress in the Research on Estimation of Vehicle Carbon Emission in China

  • 摘要: 中国机动车是交通领域碳排放的一个重要贡献者,中国机动车的碳排放及其对碳排放总量的贡献预计将在未来增加。道路交通领域是重要的碳排放源, 文章综述了中国机动车碳排放估算的研究进展,阐明各省市机动车排放清单、时间趋势和区域特征,为助力实现中国碳中和目标,对未来碳排放措施提供相应的决策支持。
  • 表  1  常用机动车预测模型对比

    Table  1.   The comparison of common vehicle prediction models

    模型名称 建模年度 研究尺度 模型型号 优势 局限性
    MOBILE 1978 宏观、中观 MOBILE1/2/3/4/4.1/5/5a/5b/6/6.2 体系完整、应用广泛 本地性差,操作界面复杂,基于固定的工况和排放率
    COPERT 1985 宏观、中观 COPERTⅠ/Ⅱ/Ⅲ/IV/5/5.5 图形界面友好,数据输入信息较少,污染物种类较多 对排放因子的处理方法粗放,车队信息不完整
    EMFAC 1988 宏观、中观、微观 EMFAC/2011/HK/2017 估算原理与MOBILE相似 地域和排放标准局限性,需要详细车辆运行状态数据,采集难度大
    CMEM 1995 微观 CMEM 能够确定车队逐秒排放因子 车辆运行状态数据要求高,采集难度大
    MOVES 2001 宏观、中观、微观 MOVES/6/6.2/ 2010/2014a/2014b/3 在源类别、污染物和分析尺度上均综合了道路源和非道路源排放 针对美国本土,需要大量数据本地化,数据获取困难
    IVE 2003 宏观、中观 IVE 界面友好,使用VSP参数对排放进行修正 车型分类过于复杂,数据获取困难
    注:宏观及中观层面是指国家及县市机动车排放总量估计,微观层面是指路段、交叉口及停车场等车辆排放因子估计[22]
    下载: 导出CSV

    表  2  中国机动车碳排放空间分布

    Table  2.   The distribution of carbon emissions from vehicles in China

    地区 研究年度 碳排放量/万t 文献
    京津冀 2007—2011 409.35 [50]
    上海 2012 40.86 [54]
    上海 2018 31.04 [54]
    广东省 2008 21.96 [58]
    呼和浩特 2011 10.95 [51]
    青岛 2017 9.91 [53]
    海口 2015 6.09 [59]
    成都 2014 24.66 [60]
    西安 2016 33.25 [61]
    兰州 2012 7.10 [62]
    下载: 导出CSV

    表  3  中国机动车碳排放研究

    Table  3.   The research on carbon emission from motor vehicles in China

    地区名 研究时间 使用方法 研究车型 污染物种类
    京津冀 2007—2011 年均行驶里程 重(轻)型客(货)车、摩托 CO、NOx、HC、PM
    呼和浩特 2011 CVEM 轿车、微/中/大型客车、轻/重型货车 CO、HC、NOx、PM
    北京、上海 1995、1999、2000、2005、2011 COPERT 乘用车、轻型车辆、重型卡车、公交车、摩托 CO、NMVOC、NOx、BC、OC
    山东省 2000—2013 COPERT Ⅳ 微/轻/中/大型客车、微/轻/中/重型货车、摩托 CO、NOx、NMVOC、PM
    青岛 2017 自上而下 微/轻/中/大型客车、微/轻/中/重型货车、摩托 CO、NOx、VOC、NH3、PM10、SO2
    广东省 2012 COPERT Ⅳ 微/轻/中/大型客车、微/轻/中/重型货车、摩托 CO、VOC、CH4、NMVOC、NOx、PM2.5、EC、OM、NH3、SO2
    广州 1995、1999、2000、2005、2008、2011 COPERT Ⅳ 微/轻/中/大型客车、微/轻/中/重型货车、摩托 CO、VOC、PM、NMVOC、NOx、BC、OC
    佛山 2008 COPERT 摩托、轿车、货车、长途客车、出租车、公交 CO、NOx、VOC、PM
    海口 2015 MOVES 2014a 轻/中型客车、轻/重型货车、摩托 HC、CO、NOx、PM
    成都 2014 COPERT 摩托、轻/大型客车、轻/重型货车 CO、NOx、VOC、PM
    兰州 2010 COPERT 微/轻/中/大型客车、微/轻/中/重型货车、摩托 CO、HC、NOx、PM
    西安 2016 / 微/轻/中/大型客车、微/轻/中/重型货车、摩托 CO、NOx、HC、PM
    注:NMVOC表示非甲烷挥发性有机化合物;BC表示黑碳;OC表示废水中以碳计的有机物的含量;EC表示元素碳;OM表示粒径0.001~10 μm的颗粒物;VOC表示挥发性有机化合物。
    下载: 导出CSV
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出版历程
  • 收稿日期:  2022-06-10
  • 网络出版日期:  2022-07-29
  • 刊出日期:  2022-06-25

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