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Method for Measuring the Ratio of In-Vehicle to Near- Vehicle Exposure Concentrations of Airborne Fine Particles

机译:空气中微粒的车内与近车接触浓度比的测量方法

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Human exposure to fine particulate matter (PM2.5) is causally linked to cardiovascular andpulmonary diseases. In-vehicle exposure may account for 10 to 20 percent of daily averageexposure. However, exposure models are typically based on area-wide air quality data thatpoorly predict in-vehicle concentration. A practical method is demonstrated for conducting fieldmeasurements to quantify the ratio of in-vehicle to outside vehicle concentration (I/O) for a widerange of conditions that affect intra-vehicle variability in exposure concentration. A field datacollection study design is developed based on sources of intra-vehicle variability in I/O,including ventilation air source, window status, fan setting, AC utilization, vehicle speed, roadtype, travel direction, and time of day. Three replicates of measurements were made for 16combinations of these factors on 110 miles of roads comprised of eight one-way routes betweentypical commuter origin/destination pairs. Two portable particle monitors recorded in-vehicleand near-vehicle ambient concentrations on one minute averages for four particle size ranges.The comparability of the monitors was quantified. Near-vehicle concentrations varied with roadtype, time of day, and traffic conditions. The I/O ratio was approximately independent of near16vehicle concentration, and varied with window status, source of ventilation air (fresh orrecirculation), and, for cases with recirculation and closed windows, fan setting and airconditioning use. The study design can be extended to additional vehicles to account forpotential sources of inter-vehicle variability. Data such as collected here can be used to improveexposure simulation models.
机译:人体暴露于细颗粒物(PM2.5)与心血管疾病有因果关系, 肺部疾病。车载暴露可能占每日平均水平的10%到20% 接触。但是,暴露模型通常基于区域范围内的空气质量数据, 很难预测车载浓度。演示了一种进行磁场的实用方法 测量以量化大范围内车内与车外浓度(I / O)的比率 影响车内暴露浓度变化的条件范围。现场数据 收集研究设计是根据I / O中车内可变性的来源而开发的, 包括通风气源,窗户状态,风扇设置,交流利用率,车速,道路 类型,行进方向和时间。重复测量16次 这些因素的组合在110英里的道路上(由8条单向路线组成) 典型的通勤起点/终点对。记录在车内的两个便携式粒子监控器 在四个粒径范围内,平均近一分钟的车辆周围环境浓度。 监视器的可比性进行了量化。近车浓度随道路变化 类型,一天中的时间和路况。 I / O比率大致独立于16 车辆浓度,并随车窗状态,通风空气源(新鲜或 再循环),对于再循环和关闭窗户的情况,风扇设置和空气 调理使用。研究设计可以扩展到其他车辆,以解决 车辆间可变性的潜在来源。此处收集的数据可用于改进 曝光模拟模型。

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