泰州市环境空气中挥发性有机物分布特征

于2018年4—9月对泰州市环境空气中挥发性有机物(VOCs)组分开展现场观测,结合观测数据分析该市大气中VOCs的时空分布特征。结果表明:观测期间泰州市环境空气中VOCs平均摩尔比为45.1 nmol/mol,其中含氧挥发性有机物占比为57.8%;受周边排放源和地理位置影响,下风向点位的VOCs测定值高于其他点位;VOCs月均最高值出现在6月,与臭氧月均最高值出现时间一致,7—9月气团出现老化,导致臭氧生成能力减弱;观测期间VOCs中甲苯/苯(T/B)比值范围为0.201 9～5.130 3,且大部分T/B比值2,说明溶剂、油气和液化石油气挥发等排放源对泰州市环境空气中VOCs的影响较为显著。     

《涂料、油墨及胶粘剂工业大气污染物排放标准》(GB 37824—2019)解读

简述了我国涂料、油墨及胶粘剂工业的污染排放现状与特征,对《涂料、油墨及胶粘剂工业大气污染物排放标准》(GB 37824—2019)进行了解读。该标准在我国打赢蓝天保卫战三年行动计划的背景下发布实施,从全过程控制的角度构建了大气污染物排放指标体系,明确了以非甲烷总烃(NMHC)和总挥发性有机物(TVOC)为综合表征,与有毒有害特征污染物协调控制的挥发性有机物(VOCs)排放指标体系;提出了涂料、油墨、胶粘剂工业无组织排放控制要求和监测监控要求。指出,涂料、油墨及胶粘剂工业的VOCs控制以无组织排放为主,因此必须从源头减排入手,强化全过程控制和全生命周期控制,环境与安全协同,逐步实现行业可持续发展。     

《涂料、油墨及胶粘剂工业大气污染物排放标准》(GB 37824—2019)解读

简述了我国涂料、油墨及胶粘剂工业的污染排放现状与特征,对《涂料、油墨及胶粘剂工业大气污染物排放标准》(GB 37824—2019)进行了解读。该标准在我国打赢蓝天保卫战三年行动计划的背景下发布实施,从全过程控制的角度构建了大气污染物排放指标体系,明确了以非甲烷总烃(NMHC)和总挥发性有机物(TVOC)为综合表征,与有毒有害特征污染物协调控制的挥发性有机物(VOCs)排放指标体系;提出了涂料、油墨、胶粘剂工业无组织排放控制要求和监测监控要求。指出,涂料、油墨及胶粘剂工业的VOCs控制以无组织排放为主,因此必须从源头减排入手,强化全过程控制和全生命周期控制,环境与安全协同,逐步实现行业可持续发展。     

典型医化园区废气和环境空气中挥发性有机物污染特征

对典型医化园区中的挥发性有机物(VOCs)污染特征进行研究,采用便携式气相色谱质谱法监测园区及周边14个点位的环境空气,大气预浓缩气相色谱质谱法监测10个点位排气筒中废气。结果表明,废气中非甲烷总烃为1. 77～218 mg/m3,环境空气中甲苯、二氯甲烷、丙酮、乙酸乙酯、四氢呋喃的质量浓度分别为0. 048～0. 833,0. 022～3. 07,0. 011～0. 312,0. 004～0. 754和0. 004～0. 529 mg/m3;废气和环境空气中均检出含量较高的芳香烃、卤代烃、酯类、酮类等化合物,以及园区特征的氟苯类和噻吩类化合物。园区环境空气明显受到工业源VOCs污染,分布趋势为生产越密集区域VOCs值越高,经过园区后沿着风向逐渐降低,园区下风向11 km处可测到园区特征氟苯类物质。     

泰州市夏季大气典型VOCs污染特征及健康风险评估

于2019年8—9月,采用大气预浓缩-气相色谱质谱联用仪(GC-MS)对泰州市3个监测点位环境空气中57种挥发性有机物(VOCs)进行分析,并开展了VOCs组成特征、臭氧生成潜势(OFP)、VOCs来源及健康风险评价研究。结果表明:3个点位环境空气中φ(VOCs)范围为1.3×10^(-9)~46.9×10^(-9),平均值为8.5×10^(-9)。烷烃在VOCs中所占比例最大。各点位φ(VOCs)平均值依次为:工业园区>公园路>天德湖公园。公园路点位VOCs中苯系物受汽车尾气排放影响较大,天德湖公园和工业园区点位除了受汽车尾气排放影响,还受到有机溶剂和涂料的挥发影响,主要受本地污染主导。OFP中贡献最大的物质为乙烯,OFP值为5.5μg/m^(3),其次为烷烃。健康风险评价结果显示,各点位VOCs非致癌类风险均较低,处于安全范围内。各点位夏季环境空气中苯对人体均具有一定致癌风险。     

天津市O3生成与其前体物NOx、VOCs排放的相关性研究

以天津市2010年污染源普查数据中SO2、NOx及颗粒物排放数据以及各行业挥发性有机物调查核算数据为主要数据源,制作天津市大气污染物排放清单,用MM5模型模拟2010年天津市地区1、4、7、10月的气象场,通过CMAQ模型,设置不同计算情景,分析天津市ρ(O3)变化与NOx及挥发性有机物的排放量变化关系。结果表明,天津市的O3生成处于VOCs控制区,随着天津市NOx减排力度的不断加大,ρ(O3)可能呈上升趋势,在夏季,需要削减40%以上挥发性有机物,以避免ρ(O3)进一步上升。     

天津市大气中挥发性有机物的组成及分布特点

参照美国EPA TO17的方法研究天津市不同功能区大气中挥发性有机物(VOCs)冬夏季中的组成及浓度水平,共检出62种挥发性有机物,冬季VOCs浓度水平低于夏季;苯系物稳定存在于各功能区且所占比例最高;VOCs的主要来源是机动车尾气。     

南通市夏季VOCs污染特征与来源研究

运用大气挥发性有机物(VOCs)快速在线连续自动监测系统,于2018年7月对南通市区环境空气中VOCs进行观测,分析VOCs的浓度状况、组成特征、对臭氧生成潜势的贡献及主要来源。结果表明:观测期间共检出100种VOCs,总挥发性有机物(TVOCs)的平均体积分数为(38. 18±23. 63)×10^-9,各物种体积分数从大到小顺序依次为烷烃>含氧有机物>芳香烃>卤代烃>烯、炔烃;芳烃和烯烃是最主要的活性物种,间/对二甲苯、甲苯、邻二甲苯等是VOCs的关键活性组分;利用PMF模型解析得到VOCs的主要污染来源是工业排放与溶剂使用、机动车尾气排放、燃料挥发排放和生物源排放。     

广东省南海市主干道大气中挥发性有机物(VOCs)研究

使用小流量采样器及进口捕集管于广东省南海市主干道的水平、垂直方向上布点采集挥发性有机物(VOCs)样品,同时在公圆内设点采样,以作背景研究.样品经HP5972GC-MS测定,检测出的30多种挥发性有机物中含量较高的有苯、甲苯、二甲苯、乙苯、氯苯等.通过研究认为,城市中的挥发性有机污染物,特别是碳氢化合物,主要来源于机动车的排放,其污染程度与气候变化关系很大.卤代烃的浓度主要取决于背景值及其他工业来源.     

基于城市大气挥发性有机物特征分析的数据质量评估方法及案例

城市大气挥发性有机物(VOCs)监测是空气质量监测网的重要组成部分,而数据质量控制和质量保证是VOCs监测的基础。基于8次中国城市大气VOCs外场监测,通过挖掘VOCs浓度、组成和化学活性的内在规律,对VOCs监测数据质量进行评估并总结方法。分析结果显示:城市大气乙烷和苯等长寿命组分具有明显的背景浓度,且区域背景值较为接近,可以用来诊断长寿命VOCs组分浓度异常偏低或偏高现象。而示踪组分的季节(日)变化规律可以用来识别VOCs组分定性问题(如夏季大气异戊二烯和烷基硝酸酯浓度日变化规律应反映植被排放和光化学反应特征)。另外,在气团混合均匀的情况下,VOCs浓度波动与其活性之间存在负相关,这一规律可以用来核查数据准确性或局地源影响。     

Pollution characteristics of volatile organic compounds in the atmosphere of Haicang District in Xiamen City, Southeast China

The compositions, spatial distributions, seasonal variations and ozone formation potential (OFP) of volatile organic compounds (VOCs) were investigated in the atmosphere of Haicang District, Xiamen City, Southeast China. Twenty-four types of VOCs were measured in this study, and ethanol, methylene chloride, toluene, ethyl acetate and isopropyl alcohol were the abundant species based on concentration rank. The concentrations of total VOCs (TVOCs) in industrial areas were higher than those in residential and administrative areas and background site. For industrial areas, the TVOCs concentrations in summer were higher than those in winter, which might result from higher emissions from industrial activities because of stronger evaporation in summer. In contrast, non-industrial areas showed higher concentrations in winter due to the unfavorable meteorological conditions. The spatial distribution of BTEX (benzene, toluene, ethylbenzene and xylene) followed the order of industrial areas > residential and administrative areas > background site, and the concentrations in summer were lower than those in winter for most sites. The high ratios (8.9-14.0) of T/B in this study indicated that industrial emissions were the main sources in this district. X/B ratios were used to assess the ages of air parcels and provided evidence of the transport of air parcels among these sites. Total OFP (TOFP) showed the trend of increase with the increase of TVOCs, and toluene was found as the major contributor to TOFP.     

VOCs走航观测在城市污染源排查中的应用

为推进城市空气质量精细化管理工作的实施,实现VOCs污染源精准排查,2019年3-4月,利用单光子电离飞行时间质谱对青岛市重点区域进行了VOCs走航观测。在排查到的污染源中,工业区的VOCs浓度较生活区整体偏高,且生活区、工业区夜间的VOCs浓度均较白天高。VOCs各类组分中,生活区白天苯系物、卤代烃、烯烃、烷烃的占比均在20%左右,夜间苯系物占比明显升高;工业区苯系物在白天和夜间的占比均最高,其他组分相对较小。浓度较高的前10位VOCs物种中,生活区白天烯烃物种占主导,夜间烷烃物种的比重明显增加;工业区苯系物、烯烃物种在白天和夜间的比重均较大,烷烃物种较小。生活区VOCs的污染源主要为机动车尾气排放和油品挥发,工业区主要为企业排放。烯烃和苯系物臭氧生成贡献较烷烃高,特别是丁烯、戊烯、己烯、甲苯、二甲苯/乙苯、三甲苯贡献显著,建议作为优控物种重点管控。     

PM2.5 and volatile organic compounds (VOCs) in ambient air: a focus on the effect of meteorology

PM(2.5) and VOCs (benzene, toluene, m-p-o-xylenes) concentrations were measured in an urban and a suburban site in Athens, Greece, during the period between April and November 2004. This period, which is considered to be the warmer period in Greece, is characterized by the development of sea-breeze over the Attica Basin. Additionally strong Northern, North-eastern winds called "The Etesians", predominate during the summer months (July-August), acting positively to the dispersion of pollutants. In this campaign, 24 days with sea-breeze development were observed, 15 days with northern winds, 6 days with southern winds while the rest of the days presented no specific wind profile. Maximum concentrations of PM(2.5), VOCs and nitrogen oxides, were detected during the days with sea-breeze, while minimum concentrations during the days with northern winds. Ozone was the only pollutant that appeared to have higher concentrations in the background site and not in the city centre, where benzene presented strong negative correlation with ozone, indicating the photochemical reaction of hydrocarbons that lead to the ozone formation. The BTX ratios were similar for both sites and wind profiles, indicating common sources for those pollutants. T/B ratio ranged in low levels, between 3-5 for site A and 2-5 for site B, suggesting vehicles emissions as the main sources of volatile compounds. Finally, the strong correlations of PM(2.5) and benzene concentrations, between the two sampling sites, indicate that both the city centre and the background site, are affected by the same sources, under common meteorological conditions (sea-breeze, northern winds).     

滨州市大气VOCs污染现状及防控措施分析

利用挥发性有机物(VOCs)手工监测和走航监测技术,分析了滨州市城区、各县(市、区)涉VOCs工业园区的VOCs排放情况。结果表明,城区大气VOCs各组分的体积分数差异较为明显,烷烃类占比最高,其次是挥发性含氧有机物和芳香烃。排名前3的组分为异戊烷、正丁烷、丙烷,主要来自以液化石油气为燃料的车辆排放。各县(市、区)不同涉VOCs工业园区周边的VOCs组分与园区涉及的原辅料和产品类型有关,对应的组分主要为苯系物、烷烃类和烯烃类。园区内的有机化学原料制造、化学药品原料药制造和表面涂装等行业对VOCs组分的影响较大。建议从系统性溯源、科学性推进、精准化管控、针对性治理4个方面开展VOCs治理研究,从而实现VOCs排放控制,减少对周边环境的污染和影响,提升滨州市整体环境空气质量。     

某石化工业园区大气中VOCs垂直分布的无人机监测研究

利用无人机对某石化工业园区地面至100 m大气中的VOCs进行监测,通过不同高度数据对比,总结该石化工业园区挥发性有机物的垂直分布特征,并分析其化学反应活性。监测结果表明,VOCs体积分数和总臭氧生成潜势随高度增加均呈下降趋势,地面和15~30 m高度的VOCs浓度及臭氧生成潜势基本一致。主要VOCs物种浓度垂直分布特征可分为均匀分布、随高度增加浓度不断降低、随高度增加浓度先升后降3种。含氧有机物和烷烃在大气中体积分数较大,主要特征挥发性有机物为丙酮、乙醛、乙烷、乙醇等;臭氧生成潜势贡献较大的组分为含氧有机物、烯烃和炔烃,关键活性物质为甲醛、乙醛、丁烯醛、正丁醛等。含氧有机物的体积分数和臭氧生成潜势贡献在地面至100 m高度都明显高于其他组分,应作为VOCs浓度和化学活性控制的重点。     

Distribution Of Volatile Organic Compounds In Ambient Air Of Kaohsiung, Taiwan

Automobile emissions have created a major hydrocarbon pollution problem in the ambient air of Taiwan. The aim of this study was to determine the volatile organic compounds (VOCs) in the ambient air of Kaohsiung, Taiwan. The spatial distribution, temporal variation, and correlations of VOCs at three study sites, selected based on traffic densities and distances from a freeway, were discussed. Sixty-four hydrocarbons were identified in the ambient air. Among all of the VOC species, acetone, aromatic and aliphatic compounds constituted the major constituents. Higher concentrations of VOCs existed further away from major arteries as compared to those found near the freeway. Therefore, the distance from the freeway may not be a sufficient index for reflecting actual air quality in the study area. Weather conditions, wind speed and direction did not affect the distribution of VOC concentrations in the three study sites. Other factors, such as the height and density of buildings, traffic conditions or commercial activities, might affect the distribution of VOCs.     

宁波市环境空气中VOCs污染状况及变化趋势分析

基于近7年来的连续监测数据,对宁波市环境空气中挥发性有机物(VOCs)的污染状况及变化趋势进行了初步分析。研究表明:在宁波市环境空气中检测出94种VOCs,其主要成分是饱和烷烃、芳烃、烯烃、卤代烃、卤代芳烃、含氧有机物等,有37种属有毒有害物质,其中苯系物含量最高;宁波市环境空气中苯系物的污染程度与国内外城市基本处于同一水平,近年来的污染状况变化不大,没有明显恶化;空间分布特征显示一类保护区VOCs的排放以天然源为主,二类各功能区VOCs的排放由天然源和局部人为污染源共同形成,三类区以工业污染源排放为主;时间变化趋势显示VOCs在冬季和春季的平均浓度比其他季节高,VOCs的日变化基本呈现2个主浓度峰值特征,跟城市交通流量变化具有很好相关性。     

A catalogue of urban hydrocarbons for the city of Leeds: atmospheric monitoring of volatile organic compounds by thermal desorption-gas chromatography

A method has been developed for the speciation and quantitative determination of hydrocarbons in urban air in the city of Leeds. Hydrocarbons were pre-concentrated by adsorbent tube air sampling and analyzed using thermal desorption and gas chromatography with flame ionization detection and structural confirmation by mass spectrometric detection. While automated volatile organic compound (VOC) analyzers produced data for a maximum of about 30 compounds simultaneously, with the method described here, a total of 68 C6-C12 hydrocarbons were measured simultaneously in one analysis at parts per billion (ppb) levels. Several monitoring surveys were performed, one during the winter of 1993 and the other in the summer of 1994, at a number of sites to investigate the levels of VOCs identified in the urban air of Leeds.     

Mixing ratios of carbonyls and BTEX in ambient air of Kolkata, India and their associated health risk

Mixing ratios of 15 carbonyls and BTEX (benzene, toluene, ethyl benzene, xylenes) were measured for the first time in ambient air of Kolkata, India at three sites from March to June 2006 and their photochemical reactivity was evaluated. Day and nighttime samples were collected on weekly basis. Formaldehyde was the most abundant carbonyl (mean concentration ranging between 14.07 microg m(-3) to 26.12 microg m(-3) over the three sites) followed by acetaldehyde (7.60-18.67 microg m(-3)) and acetone (4.43-10.34 microg m(-3)). Among the high molecular weight aldehydes, nonanal showed the highest concentration. Among the mono-aromatic VOCs, mean concentration of toluene (27.65-103.31 microg m(-3)) was maximum, closely followed by benzene (24.97-79.18 microg m(-3)). Mean formaldehyde to acetaldehyde (1.4) and acetaldehyde to propanal ratios (5.0) were typical of urban air. Based on their photochemical reactivity towards OH. radical, the concentrations of the VOCs were scaled to formaldehyde equivalent, which showed that the high molecular weight carbonyls and xylenes contribute significantly to the total OH-reactive mass of the VOCs. Due to the toxic effect of the VOCs studied, an assessment for both cancer risk and non-cancer hazard due to exposure to the population were calculated. Integrated life time cancer risk (ILTCR) due to four carcinogens (benzene, ethyl benzene, formaldehyde and acetaldehyde) and non-cancer hazard index for the VOCs at their prevailing level were estimated to be 1.42E-04 and 5.6 respectively.     

Characterization of Volatile Organic Compounds (VOCs) and Their Sources in the Air of Izmir, Turkey

Air samples were collected in Izmir, Turkey at two (suburban and urban) sites during three sampling programs in 2002 and 2004 to determine the ambient concentrations of several monoaromatic, chlorinated and oxygenated volatile organic compounds (VOCs). Samples were analyzed for 60 VOCs using gas chromatography/mass spectrometry and 28 compounds were detected in most samples. On the average, urban air VOC concentrations were about four times higher than those measured at the suburban site. Toluene (40.6%) was the most abundant compound in suburban site and was followed by benzene (7.4%), o,m-xylene (6.5%), and 1,2-dichloroethane (5.1%). In urban site, toluene (30.5%), p-xylene (14.9%), o,m-xylene (11.4%), and ethyl benzene (7.2%) were the dominating compounds in summer. In winter, toluene (31.1%), benzene (23.9%), 1,2-dichloroethane (9.5%), and o,m-xylene (8.2%) were the most abundant compounds. Receptor modeling (positive matrix factorization) has been performed to estimate the contribution of specific source types to ambient concentrations. Six source factors (gasoline vehicle exhaust, diesel vehicle exhaust+residential heating, paint production/application, degreasing, dry cleaning, and an undefined source) were extracted from the samples collected in the urban site. Three source factors (gasoline vehicle exhaust, diesel vehicle exhaust, and paint production/application) were identified for the suburban site.