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。     

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。     

前体物排放变化对珠江三角洲地区秋季臭氧污染演变的影响研究

自2013年以来,珠三角地区SO₂、NO_x及颗粒物等污染物浓度逐渐下降,但臭氧污染日渐凸显.作为二次污染物,臭氧污染演变受到排放与气象条件共同影响.而评估本地前体物人为排放变化、外部传输和气象变化对臭氧污染演变的影响,并识别臭氧污染长期演变趋势的重要驱动因素,是开展区域臭氧污染防控的关键基础.因此,本文采用WRF-SMOKE-CMAQ模拟平台,以2006—2017年广东省和中国大气污染物排放趋势清单为输入清单,以2014年的气象数据为基准年气象场,通过设置不同案例,结合观测数据,定量评估本地、外部排放变化和气象变化对珠三角秋季O₃污染长期演变趋势的影响.结果表明：在2006—2017年期间,整个珠三角9—10月臭氧日最大8 h(MDA8)浓度上升主要由人为排放变化主导,平均每年贡献0.7μg·m^-3,而气象条件总体上抑制了2006—2017年期间珠三角秋季臭氧MDA8浓度的增长,使得秋季臭氧MDA8浓度上升速率下降为0.2μg·m^-3·a^-1;人为排放变化...     

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.     

2013—2018年海口市区臭氧浓度变化特征

利用海口市区4个站点2013—2018年臭氧（O₃）逐时观测资料,分析了O₃不同时间尺度变化特征、超标情况及其与前体物NO₂和气象因子的关系。结果表明：海口市区O₃浓度总体偏低,但2013—2018年各站点均有明显的上升趋势,海大站、海师站、龙华站和秀英站的气候倾向率分别为1.26、3.84、3.02、2.93 μg/（m³·a）,其中海师站、龙华站和秀英站分别通过了95%、98%、90%的信度检验。秋、冬季海口市O₃浓度最高,其中10月O₃浓度月平均最大值出现的概率最大,最小值主要出现在8月。O₃浓度日变化表现为单峰型,早晨08：00前后O₃浓度最低,午后15：00最高。海大站超标率最高（2.82%）,海师站和龙华站次之,秀英站最小。4个站点的超标日O₃浓度均逐年上升,表明海口市O₃超标现象在恶化。O₃浓度与日照时间成正相关关系,与相对湿度成负相关关系。当相对湿度为60%~85%、日最高气温为20~30℃时,海口市发生O₃浓度超标的概率较高。     

Atmospheric mercury concentrations and speciation measured from 2004 to 2007 in Reno, Nevada, USA

Atmospheric elemental, reactive and particulate mercury (Hg) concentrations were measured north of downtown Reno, Nevada, USA from November 2004 to November 2007. Three-year mean and median concentrations for gaseous elemental Hg (Hg⁰) were 1.6 and 1.5 ng m⁻³ (respectively), similar to global mean Hg⁰ concentrations. The three-year mean reactive gaseous Hg (RGM) concentration (26 pg m⁻³) was higher than values reported for rural sites across the western United States. Well defined seasonal and daily patterns in Hg⁰ and RGM concentrations were observed, with the highest Hg⁰ concentrations measured in winter and early morning, and RGM concentrations being greatest in the summer and mid-afternoon. Elevated Hg⁰ concentrations in winter were associated with periods of cold, stagnant air; while a regularly observed early morning increase in concentration was due to local source and surface emissions. The observed afternoon increase and high summer values of RGM can be explained by in situ oxidation of gaseous Hg⁰ or mixing of RGM derived from the free troposphere to the surface. Because both of these processes are correlated with the same environmental conditions it is difficult to assess their overall contribution to the observed trends.     

西安大气气相中的多环芳烃

利用PUF被动采样器于2008年8月—2009年7月采集了西安大气样品,研究了大气气相中多环芳烃（PAHs）的含量和季节分布特征。结果表明,西安大气气相中16种美国EPA优控的PAHs（Σ16PAHs）质量浓度为10.9-489.6 ng/m3（平均为143.4 ng/m3）,四季具有明显的季节差异,依次为夏季（62.5 ng/m3）〈春季（80.1 ng/m3）〈秋季（175.8 ng/m3）〈冬季（255.2 ng/m3）。气相中PAHs主要以3-4环为主,占总量的86.5%-94.1%。利用主成分分析法判断四季气相中PAHs的污染来源类型,主要为燃煤和机动车尾气及生物质燃烧的复合源。