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Advanced source apportionment of size-resolved trace elements at multiple sites in London during winter

机译:冬季在伦敦多个地点进行尺寸分辨的痕量元素的高级源分配

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摘要

Trace element measurements in PM$_{10–2.5}$, PM$_{2.5–1.0}$ and PM$_{1.0–0.3}$ aerosol were performed with 2 h time resolution at kerbside, urban background and rural sites during the ClearfLo winter 2012 campaign in London. The environment-dependent variability of emissions was characterized using the Multilinear Engine implementation of the positive matrix factorization model, conducted on data sets comprising all three sites but segregated by size. Combining the sites enabled separation of sources with high temporal covariance but significant spatial variability. Separation of sizes improved source resolution by preventing sources occurring in only a single size fraction from having too small a contribution for the model to resolve. Anchor profiles were retrieved internally by analysing data subsets, and these profiles were used in the analyses of the complete data sets of all sites for enhanced source apportionment.A total of nine different factors were resolved (notable elements in brackets): in PM$_{10–2.5}$, brake wear (Cu, Zr, Sb, Ba), other traffic-related (Fe), resuspended dust (Si, Ca), sea/road salt (Cl), aged sea salt (Na, Mg) and industrial (Cr, Ni); in PM$_{2.5–1.0}$, brake wear, other traffic-related, resuspended dust, sea/road salt, aged sea salt and S-rich (S); and in PM$_{1.0–0.3}$, traffic-related (Fe, Cu, Zr, Sb, Ba), resuspended dust, sea/road salt, aged sea salt, reacted Cl (Cl), S-rich and solid fuel (K, Pb). Human activities enhance the kerb-to-rural concentration gradients of coarse aged sea salt, typically considered to have a natural source, by 1.7–2.2. These site-dependent concentration differences reflect the effect of local resuspension processes in London. The anthropogenically influenced factors traffic (brake wear and other traffic-related processes), dust and sea/road salt provide further kerb-to-rural concentration enhancements by direct source emissions by a factor of 3.5–12.7. The traffic and dust factors are mainly emitted in PM$_{10–2.5}$ and show strong diurnal variations with concentrations up to 4 times higher during rush hour than during night-time. Regionally influenced S-rich and solid fuel factors, occurring primarily in PM$_{1.0–0.3}$, have negligible resuspension influences, and concentrations are similar throughout the day and across the regions.
机译:在PM $ _ {{10–2.5} $,PM $ _ {2.5–1.0} $和PM $ _ {1.0–0.3} $的气溶胶中,痕量元素的测量在2倍的时间分辨率下在路边,城市背景和农村地区进行伦敦的ClearfLo 2012冬季广告系列。使用正矩阵分解模型的Multilinear Engine实现对排放的环境相关性进行了表征,该实现是在包含所有三个位置但按大小分开的数据集上进行的。结合位点可以分离具有高时间协方差但空间变异性显着的源。大小分离通过防止仅出现在单个大小部分中的源对模型解析的贡献过小而提高了源分辨率。通过分析数据子集在内部检索锚定档案,并将这些档案用于分析所有站点的完整数据集以增强源分配。共解决了9个不同的因素(括号中的重要元素): {10–2.5} $,制动器磨损(铜,锆,锑,钡),其他与交通有关的元素(铁),悬浮粉尘(硅,钙),海盐/路盐(氯),陈年海盐(钠,镁) )和工业(Cr,Ni);以PM $ _ {2.5–1.0} $为单位,表示刹车磨损,其他与交通有关的,重悬的粉尘,海盐/海盐,陈年海盐和富S(S);在PM $ _ {1.0–0.3} $中,与交通有关的(铁,铜,锆,锑,钡),悬浮粉尘,海/路盐,老化的海盐,已反应的Cl(Cl),富S和固体燃料(K,Pb)。人类活动将通常被认为是天然来源的粗陈年老海盐的路缘对乡村的浓度梯度提高了1.7–2.2。这些与位置有关的浓度差异反映了伦敦本地重悬浮过程的影响。人为影响因素交通(刹车磨损和其他与交通相关的过程),灰尘和海/路盐通过直接排放源,使路缘对农村的浓度进一步提高了3.5-12.7倍。交通和尘埃因子主要以PM $ _ {10–2.5} $排放,并且表现出强烈的昼夜变化,高峰时段的浓度比夜间高出4倍。受区域影响的富含硫和固体燃料的因素主要发生在PM $ _ {1.0–0.3} $中,对悬浮的影响可以忽略不计,并且全天和整个区域的浓度相似。

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