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Influences of Natural Fugitive Dusts Emitted form Sandlands along a River Valley on Ambient Particulate Air Quality

机译:流域沙地散发的自然逸散粉尘对环境颗粒物空气质量的影响

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This study aimed to characterize the physicochemical properties of atmospheric particles sampled along the Kaoping riverside in southern Taiwan. Regular sampling conducted to collect particulate matter less than 10 microns diameter (PM_(10)) with high-volume samplers at four sampling sites (KA , KB , PC and PD) on May 28~31, July 9~12, October 8~11, and December 4~7, 2012.Intensive sampling was also conducted by the same samplers on June 29~30, 2012. After sampling, metallic contents of PM_(10) were analyzed with an inductively coupled plasma-atomic emission spectrometer (ICP-AES). Ionic species and carbonaceous contents of PM_(10) were then analyzed with an ion chromatograph (IC) and an elemental analyzer (EA), respectively. Field sampling of PM_(10) indicated that natural fugitive dust event (NFDE) would increase local PM_(10) concentrations up 21.7-27.2 times of the background level, which could deteriorate ambient particulate air quality along the Kaoping River Valley. Chemical analysis results showed that the abundant chemical components of PM_(10) were sulfate (SO_4~(2-)), nitrate (NO_3~-), ammonium (NH_4~+) and organic carbon (OC), and crustal elements [calcium (Ca), aluminum (Al), iron (Fe) and magnesium (Mg)]. The highest organic carbon and element carbon (OC/EC) ratio of PM_(10) was observed in winter, indicating that biomass burning and/or anthropogenic combustion activities in winter occurred more frequently than other seasons. The most abundant metallic elements were Ca, Mg, Fe, and Al, showing an increase of crustal elements ranged from 3.0 to 8.3% during the NFDE. Finally, the source identification and apportionment of PM_(10) were analyzed by principal component analysis (PCA) and chemical mass balance (CMB) receptor model. Results from CMB receptor modeling showed that the major sources of atmospheric PM_(10) along the Kaoping River Valley were secondary nitrate, secondary sulfate, and vehicular exhausts for all seasons. Biomass burning occurred not only in winter, but also in other seasons. The natural fugitive dust event (NFDE) from the sandlands of Kaoping River Valley contributed 49.7%-57.8% of PM_(10).
机译:这项研究旨在表征台湾南部考平河畔的大气颗粒物的理化特性。在5月28日至31日,7月9日至12日,10月8日至10月8日在四个采样点(KA,KB,PC和PD)进行大容量采样,定期采样以收集直径小于10微米的颗粒物(PM_(10))。分别于2012年6月11日和2012年12月4日至7日进行采样。同一采样器也于2012年6月29日至30日进行了密集采样。采样后,使用电感耦合等离子体原子发射光谱仪(ICP)对PM_(10)的金属含量进行了分析。 -AES)。然后分别用离子色谱仪(IC)和元素分析仪(EA)分析PM_(10)的离子种类和碳含量。对PM_(10)的现场采样表明,自然逃犯性粉尘事件(NFDE)将使局部PM_(10)浓度增加至背景水平的21.7-27.2倍,这可能会使高平河谷沿岸的环境颗粒物空气质量恶化。化学分析结果表明,PM_(10)的丰富化学成分为硫酸盐(SO_4〜(2-)),硝酸盐(NO_3〜-),铵(NH_4〜+)和有机碳(OC)以及地壳元素[钙(Ca),铝(Al),铁(Fe)和镁(Mg)]。在冬季,PM_(10)的有机碳和元素碳(OC / EC)比例最高,表明冬季的生物质燃烧和/或人为燃烧活动比其他季节更频繁。最丰富的金属元素是Ca,Mg,Fe和Al,在NFDE期间,地壳元素的增加幅度为3.0%至8.3%。最后,通过主成分分析(PCA)和化学物质平衡(CMB)受体模型分析了PM_(10)的来源识别和分配。 CMB受体模拟的结果表明,高平河流域的大气PM_(10)的主要来源是所有季节的次级硝酸盐,次级硫酸盐和车辆尾气。生物质燃烧不仅发生在冬季,还发生在其他季节。来自高平河流域沙地的天然短尘事件(NFDE)占PM_(10)的49.7%-57.8%。

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