家具制造企业密集区空气中VOCs污染状况及健康风险评价

采用Tenax管吸附-热脱附-气相色谱法测定家具制造企业密集区空气中挥发性有机物(VOCs),并应用美国国家环保局(USEPA)的健康风险评价模型评估其对周边人群的影响。结果表明,家具制造企业密集区总VOCs的质量浓度为0.931 mg/m3,11种目标物中乙酸乙酯、丙酮和乙酸丁酯所占比例较高,分别占总VOCs的20.2%、10.7%和9.1%。该区总VOCs的累积非致癌风险指数为3.47×10-7,低于1,不会对人体产生明显的非致癌健康危害;其累积致癌风险指数为2.49×10-5,是可接受致癌风险值(1.0×10-6)的25倍,可能对人群存在致癌影响。     

生活垃圾填埋场空气中VOCs组成及年际变化

采用SUMMA罐采样-气相色谱-质谱法采集并分析了2006—2010年4、10月上海某生活垃圾填埋场及周边环境空气中挥发性有机物(VOCs)的种类和含量变化情况。结果表明,共检测出34种VOCs化合物,以单环芳烃、甲基乙基酮、卤代脂肪烃为主,其中19种化合物属于美国环保局重点控制的空气中有害污染物;填埋区作业面是填埋堆体内部VOCs释放的重要途径之一,其中甲基乙基酮、甲苯、乙苯、间/对-二甲苯对TVOCs质量浓度贡献率超过60%;生活垃圾填埋场及周边环境空气中TVOCs质量浓度年季变化较稳定,但同年度内秋季浓度高于春季。     

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。     

化工企业VOCs治理评估指标体系的建立与应用

在对江苏省化工企业开展挥发性有机物(VOCs)治理核查评估的基础上,采用层次分析(AHP)与模糊综合评价(FCE)相结合的方法,运用化工企业AHP-FCE综合评估模型,建立了包括项目建立、现场排查、评估分析和管理监督4个准则层及22个指标层的化工企业VOCs治理综合评估体系。以江苏某化工园区企业为例,运用建立的指标体系对3家企业进行VOCs治理评估,结果表明,评估结果与企业实际状况相符。提出,VOCs治理评估指标体系的应用,可确定指标权重,解决模糊性问题,减少企业在VOCs整治绩效评估中的主观臆断,具有实际应用价值。     

在线分析宁波市北仑区VOCs组成、趋势及来源

利用VOCs在线监测技术，对2010年宁波市北仑区空气内的VOCs的浓度、组成、变化规律及来源进行分析研究。结果表明，在北仑区域内的16种VOCs中，苯、甲苯、二甲苯、乙苯和己烷的比例占到了总数的82．9％，且该5种有机物浓度存在较为典型的季节性变化规律和日变化规律；采用CMD模型法对VOCs的来源进行解析后发现，北仑区域内的VOCs主要来源于汽车尾气、汽油蒸气和石油液化气，而且汽车尾气的贡献值要比一些大城市低得多，且夏季和冬季的成分源贡献率存在明显差异。     

中国环境空气苯系物类挥发性有机物监测能力现状分析

为了解和评价中国环境空气挥发性有机物(VOCs)的监测能力和技术水平,以量化的手段评估环境空气VOCs监测数据质量,促进实验室质量管理水平提升,笔者以环境空气VOCs中的苯系物为代表,组织31个省、自治区、直辖市216家各级各类生态环境检验检测机构开展了实验室比对,利用稳健统计技术分析评价实验结果。结果表明:环境空气苯系物类VOCs比对结果的整体合格率为68.5%,省级站、地市级以上站、社会化检测机构合格率分别为86.7%、75.4%和46.9%。可见现阶段中国环境空气苯系物类VOCs整体检测能力仍有提升的空间,社会化机构的检测技术水平尚待提升。建议地方部门加强对环境空气VOCs监测的技术培训,尽快提高VOCs监测技术水平,保障VOCs监测数据质量,同时强化对社会化检测机构的监督管理,督促其提升服务水平。     

上海大气面源 VOCs 排放特征及其对O 3 的影响

上海市大气污染物排放清单确定了14类大气面源，其VOCs排放总量2.65×10^8kg／a。采用EPA TO-15 VOCs分析方法获得112种组分，根据VOCs的O3生成活性系数MIR，结合VOCs排放量和VOCs组分构成比，计算出上海大气面源的O3最大生成量为1.063×10^9kg／a。其中，涂料使用和间-二甲苯，对-二甲苯是上海大气环境O3污染应首要控制的VOCs。     

江苏某县乡镇饮用水中挥发性有机物的检测及其风险评价

在江苏某癌症高发县5个乡镇10个村进行布点取样,采集深层地下水与浅层地下水共计20个水样。采用吹扫捕集与气相色谱-质谱联用方法测定水样中14种挥发性有机物(VOCs),检出二氯甲烷、1,3-二氯丙烷、三氯甲烷、苯和四氯化碳5种VOCs,其质量浓度分别为0.14～1.71、ND～50.98、0.29～90.02、0.09～2.35、0.18～3.45μg/L。2个水样中的三氯甲烷和6个水样中四氯化碳超过《生活饮用水卫生标准》(GB 5749—2006)规定的限值。采用优化的美国环保局风险评价模型进行人体健康风险评价,其非致癌风险指数为0.000 7～0.072,致癌风险水平1.70×10-7～2.03×10-5,70%水样的致癌风险水平超过10-6水质监控值,2个浅层地下水的致癌风险水平较高。四氯化碳和三氯甲烷对非致癌风险指数和致癌风险水平贡献较大。     

列车车厢内装材料VOCs释放特性研究

列车车厢内的空气质量对乘客的健康和乘坐舒适度有明显影响.密闭车厢的内装材料所释放的挥发性有机物(VOCs)是影响车厢内环境空气质量的主要污染物.为研究25G型客车车厢内空气VOCs浓度的分布机理及扩散规律,采用环境测试舱法和扫描电镜(SEM)表征,对车厢主要内装材料(座椅坐垫、PVC地板、墙板等)的VOCs释放速率进行...     

石化装置停工放空的VOCs排放估算参数要求探讨

石化装置开停工及检维修过程中的泄压吹扫放空是石化企业VOCs的重要排放源项之一。分析了我国石化企业对停工及检维修的现行操作规范与《石化行业VOCs污染源排查工作指南》中对该源项核算方法参数要求的不符之处,并参照美国炼油厂有毒有害空气污染物国家排放标准的相关规定,提出了监测和操作方面的改进建议。     

Long-term measurement of volatile organic compounds in ambient air by canister-based one-week sampling method

A canister-based 1 week sampling method using a mechanical flow controller and a 6 L fused-silica-lined canister was evaluated for the long-term measurement of 47 VOCs in ambient air at pptv (volume/volume) to ppbv levels by use of a three-stage preconcentation method followed by GC-MS analysis. The GC conditions were initially optimized for complete separations of several pptv-level VOCs (e.g. vinyl chloride, 1,3-butadiene, acrylonitrile, 1,2-dichloroethane and chloroform) in ambient air because the selected ions are easily interfered with by coexisting C4-, C5-hydrocarbons and analytes presented at ppbv levels. Thirty-four VOCs determined by the 1 week and 24 h sampling method in December 16-22 (2002) had concentrations of 6.0-15000 pptv per compound. Concentrations of 28 VOCs (including polar VOCs (e.g. methyl isobutyl ketone and butyl acetate)) obtained by the method were approximately equal to the mean values calculated from 24 h sampling (< +/- 10% deviation). Six VOCs that had low concentrations of 6.0-43 pptv showed more than +/- 10% deviation. Thirteen VOCs were not detected during the entire sampling period. The effect of relative humidity or ozone for the specific VOCs (e.g. MIBK, butyl acetate, vinyl chloride, 1,3-butadiene and styrene) was negligible.     

Background concentrations of individual and total volatile organic compounds in residential indoor air of Schleswig-Holstein, Germany

During a monitoring campaign concentrations of volatile organic compounds (VOCs) were measured in indoor air of 79 dwellings where occupants had not complained about health problems or unpleasant odour. Parameters monitored were the individual concentration of 68 VOCs and the total concentration of all VOCs inside the room. VOCs adsorbed by Tenax TA were then analysed by means of thermal desorption, gas chromatography and mass spectrometry. The analytical procedure and quantification was done according to the recommendation of the ECA-IAQ Working Group 13 which gave a definition of the total volatile organic compound (TVOC) concentration. Using this recommendation TVOC-concentrations ranged between 33 and 1600 microg m(-3) with a median of 289 microg m(-3). Compounds found in every sample and with the highest concentrations were 2-propanol, alpha-pinene and toluene. Save for a few samples, all concentrations measured have been a factor 2 to 10 lower, compared to data from similar studies. Only a few terpenes and aldehydes were found exceeding published reference data or odour threshold concentrations. However, it has been found that sampling and analysing methods do have a considerable impact on the results, making direct comparisons of studies somewhat questionable. 47% of all samples revealed concentrations exceeding the threshold value of 300 microg TVOC m(-3) set by the German Federal Environmental Agency as a target for indoor air quality. Using the TVOC concentration as defined in the ECA-IAQ methodology is instrumental in assessing exposure to VOCs and identifying sources of VOCs. The background concentrations determined in this study can be used to discuss and interpret target values for individual and total volatile organic compounds in indoor air.     

沈阳市环境空气中挥发性有机物污染特征及来源解析

基于2019年沈阳市4个不同功能区挥发性有机物(VOCs)小时分辨率的在线监测数据,分析了环境空气中VOCs的污染特征及来源。结果表明,观测期间沈阳市环境空气中VOCs日平均体积分数为(31.5±13.3)×10~(-9),4个功能区VOCs体积分数均呈现出冬季明显大于夏季的特征;工业区环境空气中VOCs体积分数明显高于其他功能区。商业交通居民混合区、文化居民混合区、郊区VOCs体积分数呈现明显双峰结构,工业区双峰结构不明显。工业区VOCs以新鲜排放为主,而其他3个区域为老化气团的传输。工业区春、夏季环境空气中VOCs来源包括燃料挥发源(26.90%)、溶剂与涂料源(17.69%)、燃烧源(16.40%)、化工源(15.69%)、交通源(7.57%)和炼油炼焦源(4.15%)。秋、冬季VOCs的来源包括燃烧源(30.77%)、溶剂与涂料源(20.26%)、燃料挥发源(18.79%)、化工源(11.54%)、炼油炼焦源(9.34%)和交通源(5.51%)。     

SUMMA罐采样-GC/MS法测定吸烟室内空气中挥发性有机物

采用空气预浓缩与气相色谱/质谱联用技术对空气中59种痕量挥发性有机化合物进行定性与定量分析,应用研究的技术对吸烟室烟草空气中的挥发性有机物成分定性解析,对59种常见挥发性有机污染物定量检测.室内环境烟草空气中检出多种挥发性有机污染物,主要有烯烃、烷烃、苯系物等有害成分,不仅对被动吸烟人群造成危害,同时也影响大气环境质量...     

Development of a solid phase microextraction (SPME) method for the sampling of VOC traces in indoor air

Solid-phase microextraction (SPME) was studied for the measurement of volatile organic compounds (VOCs) in indoor air. An adsorptive PDMS/Carboxen fibre was used and an analytical methodology was developed in order to overcome competitive adsorption. Kinetics and adsorption isotherms were investigated for different sample volumes and model compounds. In order to evaluate competitive adsorption on the fibre, these compounds were studied alone and in mixture. From the results obtained, the operating conditions allowing co-adsorption of the target compounds were determined: the air sample is enclosed in a 250 mL glass bulb where the SPME fibre is exposed until adsorption equilibrium. This procedure was combined with GC/MS analysis for the identification and quantification of VOCs in indoor air. The performances were determined by using a standard gas containing 10 VOCs representative of indoor environments (acetaldehyde, acetone, BTX, alpha-pinene, trichloroethylene, alkanes). The detection limits were determined in single ion monitoring mode and for a signal to noise ratio of 3. Except acetaldehyde (6 microg m(-3)), they are all below 0.5 microg m(-3). Calibration curves are linear up to 10 micromol m(-3) for all the compounds with good correlation coefficients (above 0.99). The reproducibility ranges from 6 to 12% according to the compound. The methodology was then applied to the comparison of the VOCs content in classrooms of two different schools.     

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.     

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。     

大连市秋冬季环境空气中VOCs特征及臭氧生成潜势分析

对大连市2015年秋冬季环境空气中VOCs进行采样分析,获得其组成、含量、昼夜和季节变化规律,分析不同类别VOCs的来源,并计算不同VOCs物种的臭氧生成潜势（OFP）。结果表明：大连市环境空气中秋季VOCs平均体积浓度（55.81×10^-9）略高于冬季（42.66×10^-9）;秋季VOCs以羰基化合物和烷烃为主,而冬季VOCs以烷烃和烯炔烃为主。大连环境空气中光化学反应的主要VOCs类别为羰基化合物、烯炔烃和芳香烃,主要物种为丙烷、乙烷、正丁烷和乙烯。羰基化合物含量高与机动车尾气及医院大量试剂的使用有关,烷烃主要来源于汽油车与液化石油气（LPG）燃烧排放,芳香烃主要由机动车排放贡献。各类别VOCs的组分含量与其OFP并不一致,大连市环境空气中各类VOCs的OFP由高到低依次为羰基化合物>芳香烃>烯炔烃>烷烃。     

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。