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Relationship between black carbon (BC) and heavy traffic in Sao Paulo, Brazil

机译:巴西圣保罗的黑碳(BC)与交通繁忙之间的关系

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摘要

Black carbon (BC) concentration measurements were performed using a multi-angle absorption photometer (MAAP) in the eastern region of Sao Paulo city (EACH site) showing the dominance of heavy-duty diesel vehicle (HDV) emissions. The measurements were combined with traffic counts from a main road (the Ayrton Senna highway) that connects the city to the airport (Guarulhos) and to other important cities and estimated dilution rates from current NOx measurements to compute vehicle BC emission factors (EFBC). The BC emissions represented real operating traffic conditions and were distinguished between HDVs and light-duty gasoline-driven vehicles (LDVs). The EFBC were estimated according to the time of day to distinguish between different fleet compositions and source emission contributions as well as driving and meteorological conditions. Estimates of both the HDVs (170 +/- 259 mg km(-1)) and the LDVs (41 +/- 63 mg km(-1)) show that emissions from HDVs (EFBC(HDVs)) are around 4 times those from LDVs (EFBC(LDVs)). EF estimates for HDVs are consistent with measurements given in the literature not, however, with emission factors for LDVs whose values are slightly higher than those given in the studies reviewed. The correct determination of the EFBC, both for diesel and gasoline vehicles, is necessary so as to give complete knowledge of the BC impacts on external costs, such as air quality, climate and environment, to establish ad-hoc transportation policies and mitigation strategies.
机译:使用多角度吸收光度计(MAAP)在圣保罗市东部地区(EACH站点)进行了黑碳(BC)浓度测量,显示了重型柴油车(HDV)排放的优势。这些测量值与连接城市到机场(瓜鲁柳斯)和其他重要城市的主要道路(Ayrton Senna高速公路)的交通流量以及当前的NOx测量值估算的稀释率相结合,以计算车辆的BC排放因子(EFBC)。 BC排放量代表实际的交通状况,并在HDV和轻型汽油驱动车辆(LDV)之间进行了区分。 EFBC是根据一天中的时间进行估算的,以区分不同的车队组成和排放源以及驾驶和气象条件。 HDV(170 +/- 259 mg km(-1))和LDV(41 +/- 63 mg km(-1))的估计均显示HDV(EFBC(HDVs))的排放量约为排放量的4倍来自LDV(EFBC(LDV))。 HDV的EF估计值与文献中给出的测量结果一致,但是与LDV的排放因子相比,其值略高于所研究的研究结果。必须正确确定柴油和汽油车辆的EFBC,以便全面了解BC对外部成本(如空气质量,气候和环境)的影响,以建立临时运输政策和缓解策略。

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