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A high temporal-spatial vehicle emission inventory based on detailed hourly traffic data in a medium-sized city of China

机译:基于详细的小时流量数据的中国中型城市的高时空车辆排放清单

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摘要

To improve the accuracy and temporal-spatial resolution for a vehicle emission inventory in a medium-sized city with a strip road network, this study was conducted based on detailed hourly traffic-flow data for each day of 2014, and covered all road types and regions in the city of Foshan. Detailed hourly emission characteristics and sources in five regions were analysed. The results showed that the total vehicle emissions of CO, NOx, VOCs, and PM2.5 were 13.10 x 10(4), 0.23 x 10(4), 4.46 x 10(4), and 0.18 x 10(4) tons, respectively. Motorcycles (MCs) and light passenger cars (LPCs) were the dominant contributors of CO emissions, while buses and heavy passenger cars (HPCs) were the dominant contributors for NOx. As a whole, the daytime contributions to total emissions were close to 80%, and emissions during the peak periods accounted for almost 40%. Specifically, the hourly emissions of each pollutant on workdays were higher than on non-workdays (maximum up to 64.2%), and for some roads the early peak periods changed significantly from workdays to non-workdays. At expressways, artery roads, and local roads, the daily emission intensities of CO, NOx, and PM2.5 in Foshan were close to or even higher than that of Beijing. On a regional scale, the temporal variation of vehicle emissions on workdays at artery roads of different regions were similar. In addition, the higher emission intensities of CO and VOCs were identified in DaLiang-RongGui (DLRG) and that of NOx and PM2.5 were in Central Region (CR). These results are meaningful for decision-makers to help provide more detailed vehicle pollution control measures in Foshan with a strip road network and only one ring road. (C) 2018 Elsevier Ltd. All rights reserved.
机译:为了提高带状公路网络的中型城市车辆排放清单的准确性和时空分辨率,本研究基于2014年每天的详细小时流量数据进行,该研究涵盖了所有道路类型和佛山市地区。分析了五个地区的详细小时排放特征和源。结果表明,汽车的总CO,NOx,VOC和PM2.5排放为13.10 x 10(4),0.23 x 10(4),4.46 x 10(4)和0.18 x 10(4)吨,分别。摩托车(MC)和轻型乘用车(LPC)是CO排放的主要贡献者,而公共汽车和重型乘用车(HPC)是NOx的主要贡献者。总体而言,白天对总排放量的贡献接近80%,高峰时段的排放量几乎占40%。具体来说,每个污染物在工作日的每小时排放量高于非工作日(最高可达64.2%),并且对于某些道路,早期高峰期从工作日变为非工作日。在高速公路,大动脉道路和局部道路上,佛山的CO,NOx和PM2.5的日排放强度接近或什至高于北京。在区域范围内,不同区域的动脉道路上的工作日车辆排放的时间变化是相似的。此外,在大良-沟(DLRG)发现了较高的CO和VOCs排放强度,而在中部地区(CR)则发现了NOx和PM2.5的排放强度。这些结果对决策者而言意义重大,有助于他们通过一条公路网和一条环路,在佛山提供更详细的车辆污染控制措施。 (C)2018 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Environmental Pollution》 |2018年第5期|324-333|共10页
  • 作者单位

    Sun Yat Sen Univ, Sch Engn, Guangzhou 510275, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Sch Engn, Guangzhou 510275, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Sch Engn, Guangzhou 510275, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Sch Engn, Guangzhou 510275, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Inst Adv Technol, Guangzhou 510275, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Sch Engn, Guangzhou 510275, Guangdong, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Vehicle emission inventory; Detailed hourly traffic data; Foshan; Medium-sized city;

    机译:机动车排放清单;详细的小时交通数据;佛山;中型城市;
  • 入库时间 2022-08-17 13:25:49

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