共查询到19条相似文献,搜索用时 125 毫秒
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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。 相似文献
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宁波市环境空气中VOCs污染状况及变化趋势分析 总被引:7,自引:4,他引:3
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。 相似文献
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为研究菏泽市环境空气中VOCs的污染特征,参照EPA TO-15方法对菏泽市环境空气中的VOCs进行分析,并对VOCs的组成、浓度状况、来源和对臭氧生成潜势的贡献等进行探讨。结果表明,该市环境空气中共定性检出挥发性有机物82种,其中烷烃和苯系物分别占有机物种类的29%、22%,VOCs平均浓度为25.6μg/m3。监测期间,环境空气中的VOCs主要来自汽车尾气排放、汽油蒸汽、液态石油的挥发,其中交通尾气排放是该区域监测期间的主要排放源。烷烃、芳烃是对菏泽市环境空气中臭氧生成潜势贡献较大的关键活性组分,其对臭氧生产潜势的贡献率分别为32.6%、49.9%。 相似文献
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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。 相似文献
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杨文武 《环境监测管理与技术》2020,32(3):68-71
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。 相似文献
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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。 相似文献
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对常州某农药生产场地土壤中挥发性有机物(VOCs)污染状况以及健康风险和生态风险进行了调查评价。结果表明,该场地土壤中挥发性有机物污染以苯系物和卤代烃为主。苯系物质量浓度为0~56.6 mg/kg,卤代烃质量浓度为0~1.14 mg/kg。健康风险评价结果均在可接受范围内,而生态风险评价显示生产车间内的土壤VOCs生态风险较大,存在着对生物的危害。 相似文献
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随着城市餐饮行业的快速发展,餐饮源已逐渐成为大气挥发性有机物(VOCs)的主要来源之一。为深入了解广州市餐饮油烟的排放特征,科学制定广州市餐饮源的减排对策,在实验室搭建烹饪平台模拟烹饪过程,探讨不同油温、食用油种类和菜系类型对烹饪油烟排放VOCs组分的影响,并采集广州市典型商圈川菜馆、湘菜馆、粤菜馆、越南菜馆4家餐馆排放的餐饮油烟废气,利用气相色谱质谱仪分析研究4家餐馆油烟废气VOCs组分特征。结果表明:不同食用油、不同油温和不同菜系下所产生的VOCs浓度及组分特征存在较大差异。烹饪油烟VOCs的排放质量浓度与温度呈正相关。东南亚和川菜烹饪方式产生的油烟VOCs均以羰基化合物为主,而油炸类烹饪方式(炸薯条)则以羰基化合物和烷烃类同为主导。炸薯条、东南亚菜和川菜烹饪油烟VOCs的羰基化合物中,乙醛占比突出。乙醛在猪油油烟中占比最高(60.4%),其次是花生油(53%)。对比环境空气样品,部分醛类物质(丁烯醛、甲基丙烯醛、苯甲醛、戊醛和己醛)在餐饮油烟VOCs中均有检出。结合实验模拟和外场监测结果表明,静电式的油烟净化器可以有效去除乙醛。苯系物在餐饮油烟废气中检出浓度的最小值均高于周边环境样品。4家餐馆中仅湘菜馆的油烟废气中苯的致癌风险>10-4,有显著致致癌风险。建议应依据餐饮油烟VOCs关键组分和污染类型,对餐饮行业进行规范科学的管理。 相似文献
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Smith LA Mukerjee S Chung KC Afghani J 《Journal of environmental monitoring : JEM》2011,13(4):999-1007
Passive air sampling for nitrogen dioxide (NO(2)) and select volatile organic compounds (VOCs) was conducted at 24 fire stations and a compliance monitoring site in Dallas, Texas, USA during summer 2006 and winter 2008. This ambient air monitoring network was established to assess intra-urban gradients of air pollutants to evaluate the impact of traffic and urban emissions on air quality. Ambient air monitoring and GIS data from spatially representative fire station sites were collected to assess spatial variability. Pairwise comparisons were conducted on the ambient data from the selected sites based on city section. These weeklong samples yielded NO(2) and benzene levels that were generally higher during the winter than the summer. With respect to the location within the city, the central section of Dallas was generally higher for NO(2) and benzene than north and south. Land use regression (LUR) results revealed spatial gradients in NO(2) and selected VOCs in the central and some northern areas. The process used to select spatially representative sites for air sampling and the results of analyses of coarse- and fine-scale spatial variability of air pollutants on a seasonal basis provide insights to guide future ambient air exposure studies in assessing intra-urban gradients and traffic impacts. 相似文献
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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。 相似文献
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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。 相似文献
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Differences between weekend and weekday ozone levels over rural and urban sites in Southern Italy 总被引:1,自引:0,他引:1
Air quality data from a network of 11 monitoring stations in the Apulia region of southern Italy during the summer of 2005 reveal a high frequency of ozone law limit violations. Since ozone is a secondary pollutant, air quality control strategies aimed at reducing ozone concentration are not immediate. Herein, we analyse weekly changes in concentration levels of ozone (O(3)), nitrogen oxides (NO(x)), carbon monoxide (CO), and volatile organic compounds (VOCs), and evaluate how the differences in primary emissions cause changes in the production of ozone. The comparison between weekend and weekday levels of O(3) and its precursors are direct evidence for the existence of the "ozone weekend effect." This effect was observed at all stations with a considerable variation in the overall ozone magnitude, including both traffic stations and non-traffic stations. Data from VOC measurements at traffic stations primarily indicated elevated levels of benzene, toluene, and xylenes (BTX); all of these substances showed an overall decrease over the weekend. A single station indicated levels of non-methane hydrocarbon (NMHC) and PM10, both of which did not demonstrate any weekly cycle. Analysis of weekly and diurnal cycles of O(3), NO(x), CO, NMHC, and PM10 indicates that higher weekend ozone levels result from a reduction in the emission of nitrogen oxides on weekends in VOC-sensitive regimes. This indicates that a reduction in VOC and NO(x) levels would be more effective than NO(x) reduction alone. Our results underscore the need for improved and more efficient VOC measurements. 相似文献
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Surface coal mining creates more air pollution problems with respect to dust than underground mining . An investigation was
conducted to evaluate the characteristics of the airborne dust created by surface coal mining in the Jharia Coalfield. Work
zone air quality monitoring was conducted at six locations, and ambient air quality monitoring was conducted at five locations,
for a period of 1 year. Total suspended particulate matter (TSP) concentration was found to be as high as 3,723 μg/m3, respirable particulate matter (PM10) 780 μg/m3, and benzene soluble matter was up to 32% in TSP in work zone air. In ambient air, the average maximum level of TSP was 837 μg/m3, PM10 170 μg/m3 and benzene soluble matter was up to 30%. Particle size analysis of TSP revealed that they were more respirable in nature
and the median diameter was around 20 μm. Work zone air was found to have higher levels of TSP, PM10 and benzene soluble materials
than ambient air. Variations in weight percentages for different size particles are discussed on the basis of mining activities.
Anionic concentration in TSP was also determined. This paper concludes that more stringent air quality standards should be
adopted for coal mining areas and due consideration should be given on particle size distribution of the air-borne dust while
designing control equipment. 相似文献