北京地区大气中汞污染状况的初步调查

用镀金细砂填充的石英采样管在采暖期的非采暖期于北京地区七个采样点收集空气中的气态汞,用二步汞齐化原子吸收法测定其浓度并与实时分析结果进行比较,两种方法的结果都表明,采暖期北京地区大气中汞的浓度低于非采暖期大气中汞的浓度,对于除燃煤以外汞的来源尚需进一步研究。     

介质阻挡放电处理气态污染物的研究进展

介质阻挡放电（DBD）由于具有分解效率高、能耗低、占地少等特点而逐渐成为研究的热点。介绍了DBD的特点、降解气态污染物的机理及发展历程;阐述了DBD单独处理、DBD-催化、DBD-紫外光、DBD-臭氧、DBD-湿式洗涤协同处理技术在气态污染物处理方面的研究进展;分析了DBD处理气态污染物的影响因素,并提出了今后的研究方向。     

Characteristic Study of Ambient Air Total Gaseous Mercury (TGM) Concentrations During Rainy and Non-Rainy Periods at a Traffic Site in Taiwan

This investigation studied the concentrations of ambient air total gaseous mercury (TGM) during the rainy periods at the Hung-Kuang traffic sampling site in central Taiwan from May 26 to June 16, 2014. The results were compared with those of a previous study for ambient air TGM during non-rainy daytime and nighttime periods at the Hung-Kuang traffic sampling site, which was conducted during March 21 to July 20, 2012. The observed mean concentration of ambient air TGM was 1.16 ng/m³ during the rainy periods at the Hung-Kuang traffic sampling site. The mean ambient air TGM concentrations were higher in the non-rainy sampling period in daytime than in the rainy sampling period from this study. The mean ratio of non-rainy sampling period in daytime to that of rainy sampling period for ambient air TGM were 3.15. Furthermore, the mean ambient air TGM concentrations were higher in the non-rainy sampling period in nighttime in than in the rainy sampling period for this study. The mean rations for non-rainy sampling period in nighttime to that of the rainy sampling period for ambient air TGM were 2.70. The results obtained in this study also revealed that the ambient air TGM concentrations during the rainy period had the lowest concentrations when compared with the other sampling sites in other world regions.     

δ15N-stable isotope analysis of NHx: An overview on analytical measurements,source sampling and its source apportionment

• Challenges in sampling of NH₃ sources for d¹⁵N analysis are highlighted. • Uncertainties in the isotope-based source apportionment of NH₃ and NH₄⁺ are outlined. • Characterizing dynamic isotopic fractionation may reduce uncertainties of NH_x science. Agricultural sources and non-agricultural emissions contribute to gaseous ammonia (NH₃) that plays a vital role in severe haze formation. Qualitative and quantitative contributions of these sources to ambient PM_2.5 (particulate matter with an aerodynamic equivalent diameter below 2.5 µm) concentrations remains uncertain. Stable nitrogen isotopic composition (δ¹⁵N) of NH₃ and NH₄⁺ (δ¹⁵N(NH₃) and δ¹⁵N(NH₄⁺), respectively) can yield valuable information about its sources and associated processes. This review provides an overview of the recent progress in analytical techniques for δ¹⁵N(NH₃) and δ¹⁵N(NH₄⁺) measurement, sampling of atmospheric NH₃ and NH₄⁺ in the ambient air and their sources signature (e.g., agricultural vs. fossil fuel), and isotope-based source apportionment of NH₃ in urban atmosphere. This study highlights that collecting sample that are fully representative of emission sources remains a challenge in fingerprinting δ¹⁵N(NH₃) values of NH₃ emission sources. Furthermore, isotopic fractionation during NH₃ gas-to-particle conversion under varying ambient field conditions (e.g., relative humidity, particle pH, temperature) remains unclear, which indicates more field and laboratory studies to validate theoretically predicted isotopic fractionation are required. Thus, this study concludes that lack of refined δ¹⁵N(NH₃) fingerprints and full understanding of isotopic fractionation during aerosol formation in a laboratory and field conditions is a limitation for isotope-based source apportionment of NH₃. More experimental work (in chamber studies) and theoretical estimations in combinations of field verification are necessary in characterizing isotopic fractionation under various environmental and atmospheric neutralization conditions, which would help to better interpret isotopic data and our understanding on NH_x (NH₃ + NH₄⁺) dynamics in the atmosphere.     

公路隧道实验调查交通来源空气污染方法

采用公路隧道实验方法来调查交通来源空气的污染,笔者在中国北方和南方公路隧道内进行了气态污染物和大气颗粒物的监测,气态污染物和大气颗粒物为多点位同步监测,气态污染物包括CO,SO₂,NO_x和VOCs等,大气颗粒物包括TSP,PM₁₀,PM_2.5和粒径浓度谱分布等.同时,还调查和分析了隧道内机动车流量、能见度和气象因子.利用上述分析和测定结果,可以综合地研究交通来源污染及其对环境的影响.      

轻型汽油车稳态工况下的尾气排放特征

选取不同排放标准的127辆轻型汽油客车和10辆轻型汽油货车为研究对象,利用便携式车载测试系统(portable emission measurement system, PEMS)结合台架稳态工况(acceleration simulation mode, ASM),探究了不同工况与车辆参数对轻型汽油车气态污染物二氧化碳(CO_2)、一氧化碳(CO)、氮氧化物(NO_x)、碳氢化合物(HC)和甲烷(CH_4)排放的影响.结果表明,轻型汽油车气态污染物在怠速工况下的排放率较低,仅为加速工况和匀速工况的22.9%和25.8%.污染物排放特征与工况密切相关,CO_2和NO_x在加速工况时的排放率小于匀速工况,而CO、HC和CH_4在加速工况时的排放率却大于匀速工况.在低速稳态下,轻型汽油客车和轻型汽油货车CO_2、CO、NO_x、HC和CH_4的排放因子分别为383.20、 2.98、 1.60、 0.14和0.03 g·km~(-1)和360.66、 2.64、 1.61、 0.005 5和0.002 7 g·km~(-1).排放标准的加严带来了明显减排效果,CO、NO_x、HC和CH_4的排放因子从国Ⅰ～国Ⅴ分别下降了87.5%、 97.3%、 97.9%和86.4%.车龄、行驶里程和基准质量与车辆污染物的排放存在非线性关系,发动机排量与机动车的尾气污染物的排放呈正相关.     

城市间气态污染物与细颗粒物的相关性分析

通过对沿太行山脉东侧城市间环境空气污染物浓度监测数据分析发现,大气污染是一个区域性问题,相近城市间主要污染物浓度均呈高度正相关。以北京、石家庄、保定和邢台作为研究对象,对其2013年主要大气污染物浓度变化趋势进行分析对比,建立污染物浓度相关性分析模型,并对各污染因子间的相关性进行研究,得到各地区的污染物相关性结果,为区域协同控制大气污染提供决策支持。     

环境空气中气态和颗粒态总氟化物分析方法优化

对双层磷酸氢二钾浸渍滤膜采集-氟离子选择电极测定环境空气中1、24 h气态和颗粒态总氟化物的方法进行了优化研究。方法采用小流量采集(24 h采样流量为16.7 L/min,1 h采样流量为50 L/min),解决了现有方法在样品采集上的问题,优化了样品制备中超声提取和静置方法。采样体积为3、24 m~3时,方法检出限分别为0.5、0.06μg/m~3,测定下限分别为2.0、0.24μg/m~3。实际样品测定,采样1 h时,加标回收率为87.9%~109%;采样24 h时,加标回收率为80.2%~99.3%,平行样测定的精密度为0.3%~2.9%,方法精密度和准确度良好,适用于环境空气中氟化物的测定。     

株洲夏季大气中气态总汞浓度特征

为研究株洲市夏季优良天气下大气中气态总汞(TGM)的浓度特征,于2013年8月利用大气汞分析仪(2537X,加拿大)进行了20 d的连续在线观测。结果显示,实验期间株洲市大气TGM的平均浓度为(4.20±3.37)ng/m3,中值浓度为3.40 ng/m3,高于背景地区和沿海城市,略低于国内其他重点城市。晴天、阴雨天TGM浓度分别为3.59、7.96 ng/m3。晴天TGM浓度具有一定日变化规律,最高值出现在早上7:00~9:00,之后逐渐降低,17:00出现最低值;TGM白天和夜间浓度分别为3.57、3.62 ng/m3,昼夜变化不大。晴天TGM与一次污染物SO2、CO、NO2具有显著的正相关性,与O3呈显著负相关性。株洲市夏季主导风向为东南风,该方向没有明显污染源,西北方向风向频率较低,但TGM浓度明显升高,其主要来源可能是位于西北方向的清水塘工业区。