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Temporal distribution and source apportionment of PM_(2.5) chemical composition in Xinjiang, NW-China

机译：中国西北地区PM_（2.5）化学成分的时间分布和来源分配

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摘要

Daily fine particulate matter samples were collected in Dushanzi district within four months from September 2015 to August 2016 and represent the four seasons. The samples were determined for major chemical components in PM2.5, including elements, water-soluble ions (WSIs) and the organic/elemental carbon (OC/EC). The results indicated that the annual mean PM2.5 concentration was 62.85 +/- 43.5 mu g m(-3) in the Dushanzi district, with the highest seasonal average in winter (95.47 +/- 61.7 mu g m(-3)) and the lowest in summer (33.22 +/- 17.7 mu g m(-3)). The crustal elements were the most abundant elements and accounted for 96.51% of the total analyzed elements. Carcinogenic metals, such as Cr, Pb, As and Cd, originated from human activity, especially during winter. The highest total WSI concentration was 68.99 mu g m(-3) in winter, followed by autumn (16.32 mu g m(-3)), spring (10.23 mu g m(-3)) and summer (7.06 mu g m(-3)). SO42-, NO3- and NH4+ were the most abundant WSIs in Dushanzi. Ion balance calculations showed that PM2.5 in winter was acidic; in autumn and spring alkaline; and in summer nearly neutral. Total carbonaceous aerosol (TCA) accounted for 34% of the PM2.5. The chemical mass closure (CMC) indicated that minerals and WSIs were the major fraction, accounting for 33.58% and 23.17% of PM2.5 mass concentration, respectively. Dushanzi was controlled by four major air masses, and the relative contributions of these air masses differ by season. Positive matrix factorization (PMF) analysis identified six sources including vehicle emission, biomass burning, coal combustion, industrial pollution, secondary aerosols and soil dust, with annual mean contributions of 9.43%, 10.86%, 18.45%, 12.15%, 18.26% and 30.85%, respectively. Moreover, the relative contributions of these identified sources varied significantly with the changing seasons.
机译：从2015年9月至2016年8月的四个月内，在独山子区采集了每日细颗粒物样本，代表了四个季节。确定了样品中PM2.5的主要化学成分，包括元素，水溶性离子（WSI）和有机/元素碳（OC / EC）。结果表明，独山子区PM2.5的年平均浓度为62.85 +/- 43.5μgm（-3），冬季最高，季节性平均值为95.47 +/- 61.7μgm（-3），而冬季最高。夏季最低（33.22 +/- 17.7 mu gm（-3））。地壳元素是最丰富的元素，占全部分析元素的96.51％。 Cr，Pb，As和Cd等致癌金属源自人类活动，尤其是在冬季。冬季最高WSI总浓度为68.99μgm（-3），其次是秋季（16.32μgm（-3）），春季（10.23μgm（-3））和夏季（7.06μgm-3（-3））。 。 SO42-，NO3-和NH4 +是独山子地区最丰富的WSI。离子平衡计算表明，冬季的PM2.5呈酸性。在秋季和春季碱性；在夏天几乎是中性的。碳质气溶胶总量（TCA）占PM2.5的34％。化学物质封闭法（CMC）表明，矿物和WSI是主要成分，分别占PM2.5质量浓度的33.58％和23.17％。独山子受四个主要气团控制，这些气团的相对贡献因季节而异。积极矩阵分解（PMF）分析确定了六种来源，包括车辆排放，生物量燃烧，燃煤，工业污染，二次气溶胶和土壤粉尘，年均贡献分别为9.43％，10.86％，18.45％，12.15％，18.26％和30.85。 ％， 分别。此外，这些确定来源的相对贡献随着季节的变化而显着变化。

著录项

  • 来源
    《Atmospheric research》 |2019年第4期|257-268|共12页
  • 作者

    Turap Yusan; Talifu Dilinuer; Wang Xinming; Abulizi Abulikemu; Maihemuti Mailikezhati; Tursun Yalkunjan; Ding Xiang; Aierken Tuergong; Rekefu Suwubinuer;

  • 作者单位

    Xinjiang Univ, Coll Chem & Chem Engn, Key Lab Coal Clean Convers & Chem Engn Proc, Urumqi 830046, Peoples R China;

    Xinjiang Univ, Coll Chem & Chem Engn, Key Lab Coal Clean Convers & Chem Engn Proc, Urumqi 830046, Peoples R China;

    Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Guangdong, Peoples R China;

    Xinjiang Univ, Coll Chem & Chem Engn, Key Lab Coal Clean Convers & Chem Engn Proc, Urumqi 830046, Peoples R China;

    Xinjiang Univ, Coll Chem & Chem Engn, Key Lab Coal Clean Convers & Chem Engn Proc, Urumqi 830046, Peoples R China;

    Xinjiang Univ, Coll Chem & Chem Engn, Key Lab Coal Clean Convers & Chem Engn Proc, Urumqi 830046, Peoples R China;

    Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Guangdong, Peoples R China;

    Xinjiang Univ, Coll Chem & Chem Engn, Key Lab Coal Clean Convers & Chem Engn Proc, Urumqi 830046, Peoples R China;

    Xinjiang Univ, Coll Chem & Chem Engn, Key Lab Coal Clean Convers & Chem Engn Proc, Urumqi 830046, Peoples R China;

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  • 正文语种 eng
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  • 关键词

    Fine particulate matter; Chemical composition; Hysplit trajectory model; Sources apportionment;

    机译：细颗粒物;化学成分;Hysplit轨迹模型;来源分配;

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