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1.
成都市人为源挥发性有机物排放清单及特征   总被引:1,自引:0,他引:1  
基于成都市实地调查和环境统计等活动水平数据,采用排放因子法和计算模型等,编制了2014年成都市人为源VOCs排放清单,并完成了空间分配和不确定性分析。成都市人为源VOCs排放量为15.8×10~4t,其中化石燃料固定燃烧源、工艺过程源、溶剂使用源、移动源、储存运输源、其他源排放量分别为0.5×10~4、3.8×10~4、6.0×10~4、4.9×10~4、0.4×10~4、2.2×10~4t,溶剂使用源为最大人为排放源,其次是移动源和工艺过程源。木材加工业为最大工业贡献源,然后依次是医药制造业、非金属矿物制品业、化学原料、化学制品制造业、汽车制造业等。成都市人为源82%的VOCs排放量分布于二、三圈层的工业园区,而中心城区主要为移动源和建筑施工所贡献,其排放分布已随建成区联片发展而形成整体。排放清单活动水平数据可靠性较高,而排放因子存在一定不确定性。  相似文献   

2.
采用吹扫捕集—气相色谱—质谱联用技术分析水中的24种挥发性有机物。通过优化分析条件,改善了各组份的分离效果,节省了分析时间,得到各组份检测限为0.001-0.099μg/L,相对标准偏差为2.3%-5.6%,加标回收率为91.2%-107.6%,方法具有较好的精密度、准确度和低检测限。同时对漳州市饮用水源中的24种挥发性有机物进行监测分析,结果均低于检测限。  相似文献   

3.
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.  相似文献   

4.
2019年7-8月在四川省遂宁市实验学校、遂宁中学、金鱼小学、石溪浩4个点位同步开展为期20d的挥发性有机物(VOCs)离线观测,分析了遂宁市VOCs浓度时空分布特征、臭氧生成潜势(OFP)和VOCs主要来源。遂宁市TVOC体积浓度为39.4×10-9,占比较高的组分为OVOCs和烷烃,体积浓度分别为15.6×10-9和13.3×10-9,占比分别为39.5%和33.6%。遂宁中学、金鱼小学、石溪浩24 h平均体积浓度分别为29.8 ×10-9、58.4 ×10-9、30.0×10-9;加密点实验学校的小时平均浓度为22.9×10-9。遂宁市总OFP为166.7 μg/m3,占比最大的为烯烃(33.1%)。实验学校、遂宁中学、金鱼小学、石溪浩OFP浓度分别为101.2、134.4、243.6、122.1 μg/m3。金鱼小学采样点位于工业园区下风向,受工业园区企业排放源影响,VOCs浓度和OFP值均明显高于其他点位。PMF模型源解析结果表明:遂宁市VOCs来源占比最大的为工业排放源,达32%;其次为机动车尾气源、燃烧源,占比均达17%;油气挥发源、天然源、溶剂使用源分别占13%、11%、10%。工业源、机动车尾气来源占比最高的均是金鱼小学,分别为39%、30%;天然源占比较高的是实验学校(13%)和石溪浩(10%)。  相似文献   

5.
2020年7月对兰州市城区大气挥发性有机物进行连续24 h测定,研究其污染特征和臭氧生成潜势等,并进行来源解析。结果表明:兰州超级站点 VOCs的平均质量浓度为99.59 μg/m3,各类挥发性有机物中烷烃占比最大,占总挥发性有机物浓度的33.81%;对挥发性有机物进行臭氧生成潜势分析,排名靠前的物种为甲苯、乙烯、乙酸乙烯酯;利用PMF模型对挥发性有机物进行源解析,结果显示VOCs来源贡献为机动车源(31.30%)、油气挥发或泄漏(24.10%)、溶剂使用源(18.60%)、燃烧和化工工艺源(17.20%)、天然源(8.80%)。建议将控制机动车排放、油气挥发和泄漏、溶剂使用等作为消减城市大气挥发性有机物和臭氧污染的重点。  相似文献   

6.
In the summer of 2003, ambient air concentrations of volatile organic compounds (VOCs) were measured at 12 sites within a 3-km radius in Deer Park, Texas near Houston. The purpose of the study was to assess local spatial influence of traffic and other urban sources and was part of a larger investigation of VOC spatial and temporal heterogeneity influences in selected areas of Houston. Seventy 2-h samples were collected using passive organic vapor monitors. Most measurements of 13 VOC species were greater than the method detection limits. Samplers were located at 10 residential sites, a regulatory air monitoring station, and a site located at the centroid of the census tract in which the regulatory station was located. For residential sites, sampler placement locations (e. g., covered porch vs. house eaves) had no effect on concentration with the exception of methyl tertiary-butyl ether (MTBE). Relatively high correlations (Pearson r > 0.8) were found between toluene, ethylbenzene, and o,m,p-xylenes suggesting petroleum-related influence. Chloroform was not correlated with these species or benzene (Pearson r < 0.35) suggesting a different source influence, possibly from process-related activities. As shown in other spatial studies, wind direction relative to source location had an effect on VOC concentrations.  相似文献   

7.
利用2020年3月28日—5月3日南京某典型化工园区挥发性有机物(VOCs)离线监测数据,分析了园区内VOCs污染特征及臭氧生成潜势(OFP)。结果表明,春季园区φ(VOCs)范围为22.3×10-9 ~892.6×10-9,82.1%频率的φ(VOCs)<100×10-9;VOCs组分占比表现为:烷烃>含氧挥发性有机物(OVOCs)>烯烃>卤代烃>芳香烃>炔烃>有机硫。高体积分数VOCs中烷烃和烯烃占比高于低体积分数VOCs,受园区内部储罐存储、运输、转运等过程产生的油气挥发及石油化工原料、合成材料的生产影响显著。不同时刻φ(VOCs)表现为夜间最高、早晨其次、下午最低的变化特征,这与园区内部VOCs排放累积、大气边界层抬升和大气光化学反应等因素有关。OFP值范围为166.2~6 920.9 ,μg/m3,56.0%频率的OFP<500。  相似文献   

8.
The rates of desorption of trichloroethylene (TCE) and 1,3-dichlorobenzene (DCB) from a silty soil at a Superfund site and a silty-clayey soil from an uncontaminated bottomland hardwoodswamp in Baton Rouge, Louisiana were studied in laboratory batchsystems. The effect of the age of soil contamination was studiedusing a laboratory-spiked soil incubated for 3 days, 3 months and5 months. An empirical non-linear model was used to describe thebi-phasic nature of desorption with one fraction (labile) beingreleased in relatively short periods of time (typically 24–100 hr) and a second fraction (non-labile or irreversible) beingresistant to desorption. The non-linear model parameters, viz.,the fraction of the chemical released rapidly (F), and the firstorder desorption rate coefficients, k 1 and k 2respectively for the labile and slowly released fractions weredetermined by fitting the experimental data to the model. Thedata fit the model well as indicated by the high r 2 values.The estimate of k 1 was good. However, the values of k 2are known with less precision due to the limited duration of theexperiment and number of samples taken at long times. In addition, desorption kinetics of 3 and 5-month old contaminatedsoils showed that progressively less amount of contaminant was available for facile desorption (lower F) compared to freshly contaminated soil. The labile fraction had desorption rate constants of the order of 10-1 h-1, whereas the slowlyreleased fraction had rate constants of the order of 10-4 h-1 in accord with literature reported values for a varietyof other compounds and soils. Possible mechanisms describing these rates and implications for the site clean up are discussed.  相似文献   

9.
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   总被引:1,自引:0,他引:1  
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。  相似文献   

10.
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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