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Determinants of commuter exposure to PM2.5 and CO during long-haul journeys on national highways in India

机译:印度国家高速公路长途旅行中通勤通勤暴露的决定因素。

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National Highways (NH) are the major road networks linking cities but exposure studies during long commutes on highways are limited. We assessed exposure concentrations of fine particles ≤2.5?μm in diameter (PM2.5) and carbon monoxide (CO) inside bus, ac (air-conditioned) and non-ac car and on an Indian NH over 200?km length. A total of nine round journeys were made in three modes. Analysis of variance (ANOVA) and generalized linear model (GLM) were applied to quantify the contribution of determinants that may explain the variability of exposure concentrations and their association with in-vehicle temperature and relative humidity (RH). The highest and lowest exposures concentrations to PM2.5 were observed in non-ac car (89?±?32?μg?m?3) and the ac car (55?±?19?μg?m?3). Exposures concentrations in non-ac car were higher during in-city travel (113?±?36?μg?m?3). The average CO exposure concentrations were highest in ac car (2.0?±?0.9?ppm). Results of GLM analysis suggested that travel mode, highway segments (in/out-city) and the journey times are key determinants of personal exposure concentrations. Travel mode for PM2.5 (15%) and NH segments for CO (21%) explained maximum variability. Altogether, these explained 33% and 57% of the variability in PM2.5 and CO exposure concentrations, respectively. PM2.5 consists of soot, mineral and fly ash that are a proxy of fresh exhaust emissions, re-suspended road dust and industrial emissions, respectively. Additionally, EDX analyses revealed an abundance of Si, Al, Ca and Pb, confirming re-suspension, brake/tire wear and construction dust as important sources.
机译:国家高速公路(NH)是连接城市的主要道路网络,但在高速公路上长期通勤期间的曝光研究有限。我们评估了直径≤2.5Ωμm的细颗粒≤2.5μm的曝光浓度(PM2.5)和总线内的一氧化碳(CO),AC(空调)和非AC汽车和200 km长度的印度NH。共有九种轮程是三种模式进行的。应用方差分析(ANOVA)和广义线性模型(GLM)来量化可以解释暴露浓度变异性及其与车载温度和相对湿度(RH)的贡献的决定因素的贡献。在非AC汽车(89→±32Ω·32Ω·32Ω·32Ω3)和交流轿厢(55Ω±19?19?μg≤m≤3)中观察到最高和最低的暴露于pm2.5的浓度。在城市旅行期间,非交流轿厢中的暴露浓度较高(113?±36?μg≤M≤3)。 AC轿厢的平均CO暴露浓度最高(2.0?±0.9μm≤ppm)。 GLM分析的结果表明,旅行模式,公路段(进出城市)和行程时间是个人曝光浓度的关键决定因素。 PM2.5(15%)和CO的NH段的旅行方式(21%)解释了最大可变性。总共,这些解释了PM2.5和CO暴露浓度的差异的33%和57%。 PM2.5包括烟灰,矿物和粉煤灰,分别是新鲜排放,重新悬挂的道路粉尘和工业排放的代理。此外,EDX分析显示了丰富的Si,Al,Ca和Pb,确认重新悬架,制动/轮胎磨损和施工粉尘作为重要来源。

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