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Investigation of sulfate and nitrate formation on mineral dust particles by receptor modeling

机译:通过受体模拟研究矿物粉尘颗粒上硫酸盐和硝酸盐的形成

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The formation of sulfate and nitrate by heterogeneous reactions of gaseous precursors on mineral dust particles was investigated using positive matrix factorization (PMF) of coarse PM_(10) (particulate diameters from 2.2 to 10 μm) collected at urban (Hanoi) and rural (Lucnam) sites in northern Vietnam. Air samples were analyzed for ionic and elemental components using ion chromatography and proton induced X-ray emission methods. PMF revealed six similar sources/ types of coarse PM_(10) at the two sites, namely soil dust containing nitrate and sulfate, coal fly ash from distant and local sources, soil dust containing organic matter and ammonium sulfate and marine aerosol. Traffic (road) dust was found only at the urban site. From the PMF factor models, the yields of NO_3~-, SO_4~(2-) and NH_4~+ can be estimated and their possible chemical forms in different particulate types can be suggested. The yields of nitrate and sulfate formation on mineral dust particles increase with the [Ca]/[Si] ratio, which is greater in soil dust than in coal fly ash. Nitrate is bound to Ca-richest soil dust particles. Ammonium was found in dust particles containing soil organic matter, which also hold the largest amount of sulfate. The comparison of urban and rural receptor models provided synergy for the source identification and insights into the properties of mineral dust particles relevant to their interactions with acidic gases in ambient air.
机译:使用在城市(河内)和农村(卢克南)收集的粗PM_(10)(颗粒直径从2.2到10μm)的正矩阵分解(PMF),研究了气态前体在矿物粉尘颗粒上的异质反应形成硫酸盐和硝酸盐的过程。 )在越南北部的站点。使用离子色谱法和质子诱导的X射线发射方法分析了空气样品中的离子和元素成分。 PMF在这两个地点发现了六种相似的来源/类型的粗颗粒PM_(10),分别是含有硝酸盐和硫酸盐的土壤粉尘,来自遥远和本地来源的粉煤灰,含有有机物和硫酸铵的土壤粉尘以及海洋气溶胶。仅在市区发现了交通(道路)灰尘。从PMF因子模型中,可以估算出NO_3〜-,SO_4〜(2-)和NH_4〜+的产率,并提出了不同颗粒类型下其可能的化学形式。矿物粉尘颗粒上形成硝酸盐和硫酸盐的产率随[Ca] / [Si]比的增加而增加,在土壤粉尘中比在粉煤灰中更大。硝酸盐与富含钙的土壤尘埃颗粒结合。在含有土壤有机物的尘埃颗粒中发现了铵,这些尘土还含有最大量的硫酸盐。城乡接收器模型的比较为源识别和矿物尘埃粒子的性质提供了协同作用,这些尘埃粒子的性质与它们与周围空气中的酸性气体的相互作用有关。

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