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Pragmatic mass closure study for PM_(1.0), PM_(2.5) and PM_(10) at roadside, urban background and rural sites

机译:在路边,城市背景和农村地区对PM_(1.0),PM_(2.5)和PM_(10)进行实用的质量封闭研究

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Airborne particulate matter in the PM_(10), PM_(2.5) and PM_(1.0) size ranges has been sampled at three sites within 20 km of one another, representing urban background, urban roadside and rural locations. The samples have been subject to chemical analysis for major constituents and the gravimetrically measured mass reconstructed using the pragmatic mass closure model of Harrison et al. [2003. A pragmatic mass closure model for airborne particulate matter at urban background and roadside sites. Atmospheric Environment 37, 4927-4933]. Despite the separation in both time and space and the inclusion of a rural site, the coefficients determined in the earlier mass closure study provide an equally good mass closure on the current dataset. This extends also to the PM_(1.0) fraction when the coefficients determined for PM_(2.5) are applied. The mass and composition data for PM_(2.5) and PM_(1.0) are intercompared and perhaps surprisingly the differences are accounted for more by components typical of fine fraction particles such as ammonium sulphate and ammonium nitrate than those residing primarily in the coarse fraction such as sea salt, calcium- and iron-rich dusts. A comparison of the composition of 24-h samples collected on days when average PM_(10) exceeded 50μgm~(-3) with data for all days demonstrates the immense importance of nitrates, which together with their strongly bound water, account for on average 39% of PM_(10) and 46% of PM_(2.5) during episode conditions, which is more than double their contribution to the overall dataset.
机译:在彼此相距20公里以内的三个地点采样了PM_(10),PM_(2.5)和PM_(1.0)尺寸范围内的空气传播颗粒物,分别代表了城市背景,城市路边和农村地区。样品已经进行了主要成分的化学分析,并使用了哈里森等人的实用质量封闭模型,通过重量分析法重建了质量。 [2003。一种实用的大规模封闭模型,用于城市背景和路边场所的空气中颗粒物。大气环境37,4927-4933]。尽管在时间和空间上都存在分隔,并且包含了一个农村站点,但在早期的质量封闭研究中确定的系数在当前数据集上提供了同样良好的质量封闭。当应用为PM_(2.5)确定的系数时,这也扩展到PM_(1.0)分数。将PM_(2.5)和PM_(1.0)的质量和成分数据进行了比较,也许令人惊讶的是,细小颗粒的典型组分(例如硫酸铵和硝酸铵)比主要存在于粗颗粒(例如)中的组分更多地解释了差异海盐,富含钙和铁的粉尘。将平均PM_(10)超过50μgm〜(-3)的几天收集的24小时样品的成分与所有日期的数据进行比较,表明硝酸盐及其与强结合水的平均重要性很高。在情节条件下,有39%的PM_(10)和46%的PM_(2.5),是其对整个数据集的贡献的两倍以上。

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