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Potential to reduce the concentrations of short-lived climate pollutants in traffic environments: A case study in a medium-sized city in Brazil

机译:减少交通环境中短期气候污染物浓度的潜力:以巴西中型城市为例

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Understanding the spatio-temporal variation of short lived climate pollutants (SLCP) over cities is critical to protect public health and mitigate climate change. There is a lack of knowledge about the distribution of SLCP in South America, mainly in medium-sized cities ( 1 million inhabitants). This work reports on results of a campaign conducted at several sites (street canyon, urban background, and suburban) in Londrina, Brazil. The pollution datasets (black carbon BC, nitrogen oxides NOx, ozone O-3, fine particles PM2.5, and particle number PN) were analyzed by using descriptive statistics, diurnal cycles, time-space correlations, and establishing linkages with traffic rates and with wind conditions. Hourly mean ( +/- standard deviation) BC concentrations ranged from 0.58 ( +/- 0.54) in the suburban area to 3.43 ( +/- 2.69) mu g m(-3) at the street canyon site (10,150 vehicles d(-1) on weekdays), showing a high spatio-temporal variability even at short scales. PN (mean of 17,469 cm(-3)) and NOx (mean of 51.58 mu g m(-3)) concentrations tracked BC levels and traffic rates, particularly the number of diesel buses at the canyon site. PM2.5 and O-3 levels presented a lower spatial variability, with poor correlation with traffic rates in the canyon and were more tied to regional sources. NOx, BC, and PN showed the highest reduction potentials connected to the abatement of traffic emissions in the city center, particularly by targeting heavy-duty diesel vehicles. The reduction of PM2.5 and O-3 concentrations is more challenging due to a significant regional contribution that requires cutting down emissions at state, national or even transboundary scales.
机译:了解城市中短期气候污染物(SLCP)的时空变化对于保护公众健康和缓解气候变化至关重要。在南美洲,主要是在中型城市(人口<100万)中,缺乏关于小规模商品的分布情况的知识。这项工作报告了在巴西隆德里纳的多个地点(街道峡谷,城市背景和郊区)进行的一项运动的结果。污染数据集(黑碳BC,氮氧化物NOx,臭氧O-3,细颗粒PM2.5和颗粒数目PN)通过描述性统计,昼夜周期,时空相关性以及与交通流量和有风的情况。每小时平均(+/-标准偏差)BC浓度范围从郊区的0.58(+/- 0.54)到街道峡谷站点的3.43(+/- 2.69)mu gm(-3)(10,150辆d(-1) )(在工作日),即使在小范围内,也显示出较高的时空变异性。 PN(平均含量为17,469 cm(-3))和NOx(平均含量为51.58μg m(-3))可追踪BC水平和交通流量,尤其是峡谷站点的柴油客车数量。 PM2.5和O-3的水平具有较低的空间变异性,与峡谷中的交通流量之间的相关性较差,并且与区域性污染源密切相关。 NOx,BC和PN显示出与减少市区交通排放量相关的最高减排潜力,特别是针对重型柴油车辆。由于对区域的重大贡献要求减少州,国家甚至跨界规模的排放,因此降低PM2.5和O-3浓度更具挑战性。

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