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街道特征和交通因素决定了道路使用者接触黑碳的程度。

Street characteristics and traffic factors determining road users' exposure to black carbon.

机构信息

VITO (Flemish Institute for Technological Research), Boeretang 200, 2400 Mol, Belgium.

出版信息

Sci Total Environ. 2013 Mar 1;447:72-9. doi: 10.1016/j.scitotenv.2012.12.076. Epub 2013 Jan 31.

Abstract

Many studies nowadays make the effort of determining personal exposure rather than estimating exposure at the residential address only. While intra-urban air pollution can be modeled quite easily using interpolation methods, estimating exposure in transport is more challenging. The aim of this study is to investigate which factors determine black carbon (BC) concentrations in transport microenvironments. Therefore personal exposure measurements are carried out using portable aethalometers, trip diaries and GPS devices. More than 1500 trips, both by active modes and by motorized transport, are evaluated in Flanders, Belgium. GPS coordinates are assigned to road segments to allow BC concentrations to be linked with trip and road characteristics (trip duration, degree of urbanization, road type, traffic intensity, travel speed and road speed). Average BC concentrations on highways (10.7μg/m(3)) are comparable to concentrations on urban roads (9.6μg/m(3)), but levels are significantly higher than concentrations on rural roads (6.1μg/m(3)). Highways yield higher BC exposures for motorists compared to exposure on major roads and local roads. Overall BC concentrations are elevated at lower speeds (<30km/h) and at speeds above 80km/h, in accordance to vehicle emission functions. Driving on roads with low traffic intensities resulted in lower exposures than driving on roads with higher traffic intensities (from 5.6μg/m(3) for roads with less than 500veh/h, up to 12μg/m(3) for roads with over 2500veh/h). Traffic intensity proved to be the major explanatory variable for in-vehicle BC exposure, together with timing of the trip and urbanization. For cyclists and pedestrians the range in BC exposure is smaller and models are less predictive; for active modes exposure seems to be influenced by timing and degree of urbanization only.

摘要

目前,许多研究都在努力确定个人暴露量,而不仅仅是估计居住地址的暴露量。虽然城市内部的空气污染可以通过插值方法很容易地进行建模,但在交通中估计暴露量则更具挑战性。本研究的目的是调查哪些因素决定了交通微环境中的黑碳(BC)浓度。因此,使用便携式黑碳仪、行程日记和 GPS 设备进行个人暴露测量。在比利时弗兰德斯,评估了超过 1500 次出行,包括主动模式和机动化交通出行。将 GPS 坐标分配给道路段,以便将 BC 浓度与行程和道路特征(行程持续时间、城市化程度、道路类型、交通强度、行驶速度和道路速度)联系起来。高速公路上的平均 BC 浓度(10.7μg/m³)与城市道路上的浓度(9.6μg/m³)相当,但水平明显高于农村道路上的浓度(6.1μg/m³)。与主要道路和地方道路相比,高速公路上的司机暴露于 BC 的水平更高。总体而言,BC 浓度在速度较低(<30km/h)和速度较高(80km/h 以上)时升高,符合车辆排放函数。在交通强度较低的道路上行驶的暴露量低于在交通强度较高的道路上行驶的暴露量(从交通量小于 500 辆/小时的道路上的 5.6μg/m³,到交通量超过 2500 辆/小时的道路上的 12μg/m³)。交通强度是车内 BC 暴露的主要解释变量,与行程时间和城市化程度一起。对于骑自行车和步行者来说,BC 暴露的范围较小,模型的预测性较低;对于主动模式,暴露似乎仅受时间和城市化程度的影响。

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