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Analysis of Compositional Variation and Source Characteristics of Water-Soluble Ions in PM 2.5 during Several Winter-Haze Pollution Episodes in Shenyang, China

机译:沉阳市几个冬季霾天气中PM 2.5中水溶性离子的组成变化及来源特征分析

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From 18 February to 13 March 2014 and from 17 December 2016 to 27 January 2017, an online analyzer for monitoring aerosols and gases (MARGA) and an online single particle aerosol mass spectrometer (SPAMS) were used to measure and analyze the concentrations and sources of water-soluble (WS) ions in PM 10 , PM 2.5 , and gases (NH 3 , HNO 3 , HCl), in Shenyang City, China. During the field campaign, nine haze episodes (or smog episodes, total 582 h) were identified, with 960 identified as non-haze periods. The average mass concentrations of PM 2.5 and total water-soluble ions (TWSIs) in PM 2.5 during haze episodes were 131 μg·m ?3 and 77.2 μg·m ?3 , 2.3 times and 1.9 times the values in non-haze periods, respectively. The average mass concentration of TWSIs in PM 2.5 was 55.9 μg·m ?3 (accounting for 55.9% of PM 2.5 mass loading), 37.6% of which was sulfate, 31.7% nitrate, 20.0% ammonium, 6.6% chloride, 1.9% potassium, 1.4% calcium, and 0.8% magnesium throughout the campaign. Concentrations of sulfate, nitrate, and ammonium (SNA) secondary pollution ions increased rapidly during haze episodes to as much as 2.2 times, 3.0 times, and 2.4 times higher than during non-haze periods, respectively. Diurnal variations during non-haze periods were significant, while complex pollution was insignificant. Based on changes in the backward trajectories and concentrations of WS ions, the hazy episodes were divided into three types: complex, coal-burning, and automobile exhaust pollution. All complex episodes had high concentrations and greater contributions of ammonium nitrate from complex and automobile exhaust pollution, while the contribution of ammonium sulfate from coal-burning pollution was greater than that of ammonium nitrate. The correlation coefficients among SNA species were very high in complex pollution, with nitrate and sulfate the main forms present. The results of principal component analysis (PCA) were related to emissions from burning coal for heating and from long-range transmission in winter. In the case of exhaust pollution, NO 3 ? accounted for the highest percentage of PM 2.5 , and NH 4 + was more closely related to NO 3 ? than to SO 4 2? . Coal-burning pollution was the most common type of pollution in Shenyang. The contribution of sulfate was higher than that of nitrate. Based on PCA, the contribution of coal-burning emissions varied from 36.7% to 53.6% due to industry, soil sources, and other factors.
机译:2014年2月18日至3月13日以及2016年12月17日至2017年1月27日,使用了在线监测气溶胶和气体的分析仪(MARGA)和在线单颗粒气溶胶质谱仪(SPAMS)来测量和分析气溶胶的浓度和来源。中国沉阳市PM 10,PM 2.5和气体(NH 3,HNO 3,HCl)中的水溶性(WS)离子。在野战期间,确定了9次霾事件(或烟雾事件,共582小时),其中960次为非霾期。霾天气中PM 2.5的平均PM 2.5和总水溶性离子(TWSI)的平均浓度分别为131μg·m?3和77.2μg·m?3,分别是非霾期的2.3倍和1.9倍,分别。 TWSIs在PM 2.5中的平均质量浓度为55.9μg·m?3(占PM 2.5质量负载的55.9%),其中37.6%为硫酸盐,31.7%硝酸盐,20.0%铵,6.6%氯,1.9%钾整个广告系列中含1.4%的钙和0.8%的镁。在薄雾发生期间,硫酸盐,硝酸盐和铵(SNA)二次污染离子的浓度迅速增加,分别比非薄雾时期高2.2倍,3.0倍和2.4倍。非霾期的日变化显着,而复杂污染的日变化不明显。根据向后轨迹的变化和WS离子的浓度,朦胧事件分为三种类型:复杂,燃煤和汽车尾气污染。所有复杂事件的浓度都很高,并且来自复杂和汽车尾气污染的硝酸铵的贡献更大,而燃煤污染中的硫酸铵的贡献大于硝酸铵。在复杂污染中,SNA物种之间的相关系数非常高,主要形式为硝酸盐和硫酸盐。主成分分析(PCA)的结果与燃烧煤炭取暖的排放以及冬季的远距离传输有关。在废气污染的情况下,NO 3?占PM 2.5的百分比最高,NH 4 +与NO 3的关系更紧密。而不是SO 4 2? 。燃煤污染是沉阳市最常见的污染类型。硫酸盐的贡献高于硝酸盐。基于PCA,由于工业,土壤来源和其他因素,燃煤排放的贡献从36.7%到53.6%不等。

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