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

Investigation of sulfate and nitrate formation on mineral dust particles by receptor modeling
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DOI:
10.1016/j.atmosenv.2005.09.003
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发表时间:
2005-12-01
影响因子:
5
通讯作者:
Thinh, NTH
Thinh, NTH
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Hien, PD;Bac, VT;Thinh, NTH

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采用正矩阵因子分解(PMF)的粗PM 10(颗粒直径从2.2到10 μ m)收集在城市(河内)和农村(Lucnam)网站在北方越南的非均相反应的气态前体矿物粉尘颗粒的硫酸盐和硝酸盐的形成进行了研究。使用离子色谱法和质子诱导X射线发射法分析了空气样品的离子和元素成分。PMF显示两个地点的粗颗粒PM10有六个相似的来源/类型,分别是含硝酸盐和硫酸盐的土壤尘、来自远方和本地的粉煤灰、含有机物和硫酸铵的土壤尘以及海洋气溶胶。PMF因子模型可以估算出NO3-、SO 42-和NH 4+在不同颗粒物中的生成量,并提出它们在不同颗粒物中可能存在的化学形态。矿物粉尘颗粒上硝酸盐和硫酸盐形成的产率随[Ca]/[Si]比的增加而增加,土壤粉尘中的[Ca]/[Si]比大于粉煤灰。硝酸盐与富钙土壤尘粒结合。铵存在于含有土壤有机质的尘埃颗粒中,其中也含有最多的硫酸盐。城市和农村受体模型的比较提供了协同作用的来源识别和洞察矿物粉尘颗粒的属性相关的酸性气体在环境空气中的相互作用。(c)2005爱思唯尔有限公司保留所有权利。
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 PM10 (particulate diameters from 2.2 to 10 mu m) 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 PM10 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 NO3-, SO42- and NH4+ 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. (c) 2005 Elsevier Ltd. All rights reserved.