Variation of spatio-temporal distribution of on-road vehicle emissions based on real-time RFID data.
Variation of spatio-temporal distribution of on-road vehicle emissions based on real-time RFID data.
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DOI：
10.1016/j.jes.2021.07.018
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发表时间：
2022
影响因子：
6.9
通讯作者：
Yonghong Liu;Wenfeng Huang;Xiaofan Lin;Rui Xu;Li Li-Li;Hui Ding
中科院分区：
文献类型：
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作者：
Yonghong Liu;Wenfeng Huang;Xiaofan Lin;Rui Xu;Li Li-Li;Hui Ding
高分辨率的车辆排放清单对于管理车辆污染和改善城市空气质量非常重要。基于重庆市主城区454条道路820个RFID检测器的实时交通数据，建立了重庆市主城区高时空分辨率的机动车排放清单，分析了主城区内外机动车排放时空特征的差异。结果表明，2018年研究区域内CO、碳氢化合物、PM2.5、PM10和NOx的日机动车排放强度分别为30.24、3.83、0.18、0.20和8.65 kg/km/d。区内污染物排放强度大于外区。轻型汽车是城区和外城区全天CO排放的主要贡献者，而NOx排放的贡献者有所不同。柴油和天然气公交车是城区白天NOx排放的主要贡献者，占40.40%，而公交车和重型卡车（HDT）是外区的主要贡献者。在夜间，由于货车限行的解除和公交车停驶，HDT成为内外区NOx的主要贡献者，其NOx排放高峰时段有3个，与所有机动车NOx总排放高峰时段不同。与大多数其他城市不同，桥梁和连接通道由于长期交通拥堵而一直是排放热点。这一知识将有助于充分了解车辆排放特征，并有助于决策者制定精确的预防和控制措施。
High-resolution vehicular emissions inventories are important for managing vehicular pollution and improving urban air quality. This study developed a vehicular emission inventory with high spatio-temporal resolution in the main urban area of Chongqing, based on real-time traffic data from 820 RFID detectors covering 454 roads, and the differences in spatio-temporal emission characteristics between inner and outer districts were analysed. The result showed that the daily vehicular emission intensities of CO, hydrocarbons, PM2.5, PM10, and NOx were 30.24, 3.83, 0.18, 0.20, and 8.65 kg/km per day, respectively, in the study area during 2018. The pollutants emission intensities in inner district were higher than those in outer district. Light passenger cars (LPCs) were the main contributors of all-day CO emissions in the inner and outer districts, from which the contributors of NOx emissions were different. Diesel and natural gas buses were major contributors of daytime NOx emissions in inner districts, accounting for 40.40%, but buses and heavy duty trucks (HDTs) were major contributors in outer districts. At nighttime, due to the lifting of truck restrictions and suspension of buses, HDTs become the main NOx contributor in both inner and outer districts, and its three NOx emission peak hours were found, which are different to the peak hours of total NOx emission by all vehicles. Unlike most other cities, bridges and connecting channels are always emission hotspots due to long-time traffic congestion. This knowledge will help fully understand vehicular emissions characteristics and is useful for policymakers to design precise prevention and control measures.