首页> 外文期刊>Science of the total environment >Estimating light-duty vehicles' contributions to ambient PM_(2.5) and PM_(10) at a near-highway urban elementary school via elemental characterization emphasizing rhodium, palladium, and platinum
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Estimating light-duty vehicles' contributions to ambient PM_(2.5) and PM_(10) at a near-highway urban elementary school via elemental characterization emphasizing rhodium, palladium, and platinum

机译:通过元素特征强调铑,钯和铂金,估算近高速公路城市小学对环境PM_(2.5)和PM_(10)的轻型车辆的贡献

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摘要

The primary objective of this research is to accurately estimate light-duty vehicles' (LDVs') emissions of PM2.5 and , PM_(10) over the course of a year within the property line of an inner-city school located adjacent to a heavily-trafficked interstate highway by measuring platinum group elements (PGEs - Rh, Pd, and Pt) along with 49 other major and trace elements. Amongst PGEs, ambient Pd concentrations were the highest, averaging 11 pg/ m~3 in PM_(10) and 4.0 pg/m~3 in PM_(2.5) followed by Pt (3.5 pg/m~3 in PM_(10) and 1.4 pg/m~3 in PM_(2.5)), and Rh (1.6 pg/ m~3 in PM_(10) and 0.52 pg/m~3 in PM2.5). Simultaneous three-component variations in Rh, Pd, and Pt in both PM size classes at this surface site closely matched the composition of (ⅰ) a mixed random lot of recycled autocatalysts obtained from numerous LDVs and (ⅱ) PM inside a proximal underwater tunnel open only to light-duty vehicles. Additionally, quantitative estimates of LDV contributions to ambient PM calculated by chem-ical mass balance modeling (CMB) were strongly correlated with PGE abundances. Therefore, PGEs predominantly originated from gasoline-driven motor vehicles validating them as unique LDV tracers. Further, CMB estimated that vehicles contributed 37% on average (12-67%) to PM10 and 49% on average (25-73%) to PM_(2.5). Evidence is also presented for a subset of other trace metals; i.e. Cu, As, Mo, Cd, and Sb to also be relatively strong LDV tracers. Results highlight the importance of measuring PGEs in addition to numerous other elements in PM to accurately apportion aerosols emanating from LDVs, which will better isolate public health and environmental impacts associated with the transportation sector.
机译:本研究的主要目标是准确估计PM2.5的灯具(LDVS)排放量和PM_(10)在毗邻邻近A的城市学校的财产行通过测量铂族组元素(PGES - RH,PD和PT)以及49个其他主要和微量元素来重量贩运的公路。在pges中,环境Pd浓度最高,PM_(10)和4.0 pg / m〜3中的平均为11pg / m〜3,然后pt(pm_(10)中3.5 pg / m〜3)和在PM_(2.5))中1.4 pg / m〜3,和rh(PM_(10)中的1.6 pg / m〜3,pm2.5中的0.52 pg / m〜3)。在该表面点的PM尺寸类别中的Rh,Pd和Pt中的同时三分组分变化与(Ⅰ)的组合物紧密匹配,(Ⅰ)的混合随机大量再循环自催化剂在近端水下隧道内的众多LDVs和(Ⅱ)PM中获得仅对轻型车辆开放。另外,通过化学 - 型质量平衡建模(CMB)计算的LDV贡献对环境PM的定量估计与PGE丰度强烈地相关。因此,主要源于汽油驱动的机动车辆的钢琴验证它们作为独特的LDV示踪剂。此外,CMB估计,车辆平均延迟37%(12-67%)至PM10和49%平均(25-73%)至PM_(2.5)。还介绍了其他痕量金属的子集;即Cu,As,Mo,Cd和Sb也是相对强大的LDV示踪剂。结果突出了额外额外的额外折率的重要性,除了下午的其他元素,以准确分配来自LDV的气溶胶,这将更好地隔离与交通部门相关的公共卫生和环境影响。

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