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1.
于2016年7月-2017年6月在武汉市典型居民区对大气中101种挥发性有机物（VOCs）进行了监测,以便研究武汉市典型居民区周边VOCs的组成特征和变化规律,并探讨了其主要来源.结果表明,武汉市空气中VOCs的体积分数为（46.24±24.57）×10-9,表现为烷烃>含氧有机物>烯烃>卤代烃>芳香烃.受交通排放影响烷烃的比例上午高于下午,1月机动车尾气为武汉市主要的VOCs排放源,夏季含氧类化合物浓度高于冬季,可能更多地受本地喷涂等溶剂使用行业和光化学反应生成的影响,5-9月表现出明显的生物源排放特征.利用正交矩阵因子分析（PMF）得到武汉市居民区大气VOCs主要有6个来源,分别为燃烧源、机动车尾气、工业排放、溶剂使用、汽油挥发和植物排放.其中,燃烧源、机动车尾气贡献比例最高,是该区域VOCs控制的重要排放源. 相似文献
2.
制药行业因在提取等过程中使用有机溶剂排放大量挥发性有机物（VOCs）而备受关注.本研究在山东省选择化学合成、生物发酵、中药共三家制药企业开展了107种VOCs组分的监测和分析,并建立制药企业的VOCs源成分谱.研究结果表明：化学合成类和生物发酵类制药企业排放总质量浓度均超过20 mg/m3,中药制药企业的样品的平均质量浓度相对较小,为902.66 μg/m3.本研究所分析的107种组分中,以含氧挥发性有机物（OVOCs）为主,三家企业均超过75%,其中,化学合成制药类卤代烃物种的占比较高.企业类型、生产环节、收集排放措施等是影响VOCs成分的重要因素. 相似文献
3.
挥发性有机物（VOCs）是臭氧和大气颗粒物的重要前体物,本研究利用在线气相色谱-质谱仪（Online-GC-MS）于2018年5—6月对江苏省泰州市大气中98种VOCs进行监测,依据监测结果对泰州市大气VOCs的组成特征、日变化趋势进行分析,对醛酮类VOCs数据进行参数化拟合探究其一次二次贡献,并采用正矩阵因子分解模型（PMF）对VOCs数据进行来源分析,用最大增量反应活性（MIR）计算臭氧生成潜势（OFP）.研究结果表明：泰州市大气VOCs中烷烃占比最高,其次为醛酮;烷烃、烯烃、卤代烃和芳香烃浓度日变化趋势明显,特征相近;参数化方法表明醛类物质主要来自于二次生成,而酮类物质主要来自一次排放;PMF模型结果表明泰州市VOCs的主要贡献源分别为机动车排放、油气溶剂挥发、生物质燃烧、其他工业和天然源;OFP的主要贡献物种为烯烃类,占比34.18%.研究结果表明,控制工业排放和溶剂使用是泰州市大气污染物控制的重点. 相似文献
4.
了解涂装行业挥发性有机物（VOCs）的排放特征是制定山东地区臭氧（O3）和PM2.5防控策略的重要环节.本研究在山东地区测定了两家典型食品金属包装企业喷涂过程中VOCs的排放组成,企业产品以饮料罐和罐头为主.结果表明：两家企业排放的总VOCs质量浓度水平相当,质量浓度变化范围在50~1 500 μg/m3;但两家企业喷涂过程中VOCs的排放组成具有一定的差异,以生产铝罐和马口铁罐为主的企业中的含氧挥发性有机物（OVOCs）含量最多,占比89.71%（质量分数,下同）;而生产铝罐的企业芳香烃（56.15%）是首要的排放种类,其次是OVOCs （32.32%）.通过分析两家企业内外喷涂工艺的VOCs源成分谱,发现同一企业不同工艺之间有一定差异,多种罐生产企业的内、外喷涂中乙醇占比最高,分别为94.28%、84.46%;单铝罐生产企业的内喷涂2-丁酮（24.33%）是重要组分,外喷涂中甲苯（36.40%）含量较高. 相似文献
5.
近年来武汉市臭氧污染日益严峻,成为影响空气质量达标的瓶颈,弄清臭氧及其前体物非线性关系是臭氧防控的关键和基础.本研究基于武汉中心城区2018年4—9月臭氧及其前体物在线观测数据,分析出武汉市臭氧浓度受前体物和气象条件等因素的共同影响,呈较为明显的季节变化和日变化特征.观测期间武汉市大气挥发性有机物（VOCs）平均体积分数为32.5×10-9,烷烃是武汉市VOCs的主要组分,其次是含氧VOCs （OVOCs）和卤代烃.利用基于观测的模型定量分析臭氧与前体物之间的关系,发现削减VOCs会引起臭氧生成潜势的显著下降,而削减氮氧化物则会使臭氧生成潜势升高,说明武汉市臭氧生成处于VOCs控制区.在人为源VOCs中,间/对二甲苯和邻二甲苯的相对增量反应活性（RIR）最高,是影响臭氧生成的关键组分. 相似文献
6.
近年来近地面臭氧问题日益凸显,成为影响空气质量持续改善的瓶颈.本研究基于2017年8—9月在湖州市城区开展的为期1个月的臭氧及其前体物挥发性有机物（VOCs）和氮氧化物（NOx）在线观测数据,分析了臭氧及其前体物污染特征,利用正矩阵因子分析（PMF）解析了VOCs来源,并采用基于观测的模型（OBM）对臭氧生成机制进行研究.研究结果表明：1）观测期间湖州市VOCs平均体积分数为（24.78±9.10）×10-9,其中占比最高的组成为烷烃、含氧VOCs （OVOCs）和卤代烃;2）在臭氧非超标时段,湖州市臭氧生成处于VOCs控制区,而在臭氧重污染期间湖州市处于以VOCs控制为主的过渡区;3）在臭氧超标时段,对臭氧生成潜势（OFP）贡献最大的是芳香烃（39.6%）,其次是烯烃（21.5%）和OVOCs （19.4%）,排名前三的关键组分为甲苯、乙烯和间/对二甲苯;4）源解析结果显示观测期间湖州市VOCs的主要来源是溶剂使用（27.0%）、交通排放（22.7%）、背景+传输（19.3%）、工业排放（16.9%）、汽油挥发（7.7%）和植物排放（6.4%）,重污染过程期间对OFP贡献最大的两类源是交通排放源和溶剂使用源,贡献百分比分别为35.1%和30.5%.因此,对交通排放和溶剂使用方面进行控制管理对湖州市大气臭氧污染防控有重要意义. 相似文献
7.
利用气相色谱-质谱仪/火焰离子检测器（Online-GC-MS/FID）对2017年冬季山东德州大气中99种挥发性有机物（VOCs）进行连续测量,研究了VOCs浓度和组分特征、日变化趋势、来源及其对臭氧（O3）、二次有机气溶胶（SOA）生成的贡献.结果表明,德州大气VOCs平均体积分数为（47.74±33.11）×10-9,烷烃占比最大,为40.66%.总VOCs及其组分表现出早晚体积分数高、中午体积分数低的日变化规律.德州大气中丙烷、丙烯、苯及甲苯和二氯甲烷分别受到液化石油气挥发、生物质燃烧、机动车排放和溶剂使用等人为源的影响.反向轨迹模型分析发现,北方内陆气团对德州VOCs体积分数具有一定贡献.烷烃、烯烃、芳香烃的臭氧生成潜势分别为（34.87±33.60）、（120.48±118.76）和（59.77±94.14）μg/m3,乙烯、丙烯、甲苯和间/对二甲苯的贡献较大.芳香烃氧化主导了SOA生成,其贡献率为93.7%,甲苯、间/对二甲苯、苯对SOA生成的贡献最大.为解决大气复合污染问题、实现臭氧和PM2.5协同控制,德州应重点控制甲苯、间/对二甲苯等芳香烃的排放. 相似文献
8.
大气挥发性有机物（VOCs）是导致臭氧污染的关键前体物,是城市空气质量建模不可或缺的重要组成部分,但由于其非常复杂的构成和来源以及监测数据缺乏,目前对其模拟精度的了解仍非常有限。本文利用嵌套网格空气质量模式预报系统（NAQPMS）对珠江三角洲（简称珠三角）地区2017年9月21日至11月20日的VOCs开展了模拟试验,并利用光化学监测网8个地面站点的VOCs浓度监测数据,对模式模拟的关键VOCs组分进行了精度评估。结果发现,模式对强活性的甲苯、乙烯和二甲苯具有较高的模拟精度,模拟浓度偏差百分比为0.4%～26.6%,模拟能较好再现其日均浓度变化趋势和日变化的双峰特征。但是模式对化学反应活性强且与植物排放密切相关的异戊二烯具有很大的模拟偏差,偏差比近100%,无法再现其白天浓度高、夜间浓度低的观测日变化特征。通过分析发现,现有模拟系统主要考虑人为污染物排放而未考虑生物源排放,可能是导致这一模拟偏差的关键原因。同时,评估结果也表明模式在VOCs空间分布模拟上仍面临很大的不确定性。本文结果揭示了珠三角VOCs模拟面临的关键不确定性,表明融合VOCs观测数据来揭示并减小VOCs模拟的不确定性具有非常迫切的需求。 相似文献
9.
华北平原是我国主要农作物产区,田间秸秆焚烧现象普遍存在,选取秋收季节（2014年10月）分析了秸秆燃烧的排放特征,利用区域化学传输模型WRF-Chem模拟研究了燃烧排放对气态前体物及其氧化产物的影响,以及最终导致的PM2.5中硫酸盐、硝酸盐和铵盐的变化。研究表明:2014年秋收季节,河南和山东等省份的秸秆燃烧排放会在东南风的输送作用下影响京津冀地区;秸秆燃烧排放大量挥发性有机物（VOCs）,导致火点源及周边地区大气中主要氧化剂浓度上升,提升了区域大气氧化能力;当携带大量VOCs的秸秆燃烧烟羽与以化石燃料排放为主的城市气团相混合时,大气氧化性增强会加速城市地区人为源排放的NOx和SO2等气态前体物的氧化过程,提高硫酸盐和硝酸盐的形成速率、促进二次无机气溶胶的生成。 相似文献
10.
北京奥运期间气溶胶中水溶性无机离子浓度特征及来源解析 总被引：9，自引：0，他引：9
2008年7—10月在中国科学院大气物理研究所采集气溶胶样品,用离子色谱进行水溶性无机离子分析,并对其组成、质量浓度变化特征、相关性及存在形式、来源解析等方面进行研究。结果显示,整个采样期间,SO42-、NO3-和NH4＋是最主要的水溶性离子,主要以（NH4）2SO4和NH4NO3形式存在;SO42-、NO3-和NH4＋、Ca2＋和Mg2＋的相关系数都较高,具有很好的同源性。NO3-/SO42-质量浓度比值表明,奥运前,固定源（燃煤）对水溶性离子的贡献大于流动源（机动车）,而奥运期间和奥运后则相反。因子分析表明,交通、燃煤、土壤、建筑尘和生物质燃烧源是采样期间北京大气污染的主要来源。 相似文献
11.
Biogenic Volatile Organic Compounds (VOC): An Overview on Emission, Physiology and Ecology 总被引：50，自引：0，他引：50
This overview compiles the actual knowledge of the biogenic emissions of some volatile organic compounds (VOCs), i.e., isoprene, terpenes, alkanes, alkenes, alcohols, esters, carbonyls, and acids. We discuss VOC biosynthesis, emission inventories, relations between emission and plant physiology as well as temperature and radiation, and ecophysiological functions. For isoprene and monoterpenes, an extended summary of standard emission factors, with data related to the plant genus and species, is included. The data compilation shows that we have quite a substantial knowledge of the emission of isoprene and monoterpenes, including emission rates, emission regulation, and biosynthesis. The situation is worse in the case of numerous other compounds (other VOCs or OVOCs) being emitted by the biosphere. This is reflected in the insufficient knowledge of emission rates and biological functions. Except for the terpenoids, only a limited number of studies of OVOCs are available; data are summarized for alkanes, alkenes, carbonyls, alcohols, acids, and esters. In addition to closing these gaps of knowledge, one of the major objectives for future VOC research is improving our knowledge of the fate of organic carbon in the atmosphere, ending up in oxidation products and/or as aerosol particles. 相似文献
12.
Emissions of Volatile Organic Compounds from Sunflower and Beech: Dependence on Temperature and Light Intensity 总被引：11，自引：0，他引：11
G. Schuh A. C. Heiden Th. Hoffmann J. Kahl P. Rockel J. Rudolph J. Wildt 《Journal of Atmospheric Chemistry》1997,27(3):291-318
Emissions of volatile organic compounds (VOCs) from sunflower (Helianthus annuus L. cv. giganteus) were measured in a continuously stirred tank reactor. The compounds predominantly emitted from sunflower were: isoprene, the monoterpenes -pinene, -pinene, sabinene, 3-carene and limonene, an oxygenated terpene, not positively identified so far and the sesquiterpene -caryophyllene. Emission rates ranged from 0.8 x 10–16 to 4.3 x 10 –15 mol cm–2 s–1 at a temperature of 25°C and at a light intensity of 820 µEm–2 s–1. A dependence of the emission rates on temperature as well as on light intensity was observed. The emission rates of -pinene, sabinene and thujene from beech (Fagus sylvatica L.) were also affected by temperature as well as by light intensity. Our results suggest that an emission algorithm for all compounds emitted from sunflower and beech has to consider temperature and light intensity simultaneously. The observations strongly indicate that the emissions of VOCs from sunflower and beech are in part closely coupled to the rate of biosynthesis and in part originate from diffusion out of pools. The emission rates can be described by an algorithm that combines the model given by Tingey and coworkers with the algorithm given by Guenther and coworkers after slight modification. 相似文献
13.
C. Holzke T. Dindorf J. Kesselmeier U. Kuhn R. Koppmann 《Journal of Atmospheric Chemistry》2006,55(1):81-102
The source strength of volatile organic compounds (VOCs) emitted by vegetation is of great interest for the understanding of processes in atmospheric chemistry and climate change. In this study terpene emissions from branches of European beech (Fagus sylvatica L.) were studied in a deciduous forest. Using the branch enclosure technique changes in the emission pattern and the variation of emission rates over the year were investigated over two consecutive vegetation periods. More than 10 monoterpene compounds were found in the emissions, among which sabinene dominates. For most compounds the emission pattern changed only slightly over the year. Interestingly, two compounds tentatively identified as para-cymene and cis-ocimene showed differences in the emission behaviour in late summer compared to the other terpenes. In contrast to previous studies our investigation characterise European beech as a strong emitter. For the main compounds the emission rates changed up to two orders of magnitude as a function of temperature and light over the day. In general, highest emission rates were observed in summer and lowest in fall. A seasonality was characterized by a temperature independent decline of emissions in late summer, resulting in changes of the standard emission rate on the order of one magnitude. A standard emission factor of up to 3.5 nmol m−2s−1 for the sum of measured terpenes was calculated. No emissions were found in early spring even though leaves were fully developed and temperature and light conditions were moderate. The results underline the importance of characterising the annual variation of the emission behaviour. Especially for the up-scaling to global VOC emissions, seasonal influences have to be considered to achieve realistic emission inventories. 相似文献
14.
A combination of solid-phase microextraction (SPME) and gas chromatography can be successfully used both for establishing the qualitative composition of volatile organic compounds (VOC) emitted by leaf litter and for determining their emission rates. Taking as an example European larch litter, it is shown that dead plant material contains considerable amounts of volatile components as well as non-volatile compounds that can be VOC precursors formed as a result of enzymatic reactions. It is proposed to include the determination of extractable compounds into the methodology of studying litter as a source of atmospheric VOC. Some data on litter mass are reported and it is concluded that this data may be included into special models for emission evaluation. In this work the distribution coefficients of monoterpene hydrocarbons between the gas phase and polydimethylsiloxane fiber coating necessary for quantitative determinations in SPME were estimated. 相似文献
15.
Ximei Hou Guoshun Zhuang Yanfen Lin Juan Li Yilun Jiang Joshua S. Fu 《Journal of Atmospheric Chemistry》2008,61(2):119-131
The indoor PM2.5 aerosol samples for charcoal broiling source under Chinese traditional charbroiling and the ambient fine aerosols samples
(PM2.5) were collected in Beijing to investigate the characteristics of the charcoal broiling source and its impact on the fine
organic aerosols in the atmosphere. The concentrations of 20 species of the trace organic compounds, including polycyclic
aromatic hydrocarbons (PAHs), fatty acids, levoglucosan, and cholesterol in PM2.5 were identified and quantified by GC/MS. The total PAHs and fatty acids emitted from charcoal broiling to PM2.5 were 8.97 and 87,000 ng mg−1 respectively. The concentrations of the light molecular weight (LMW) 3- and 4-ring PAHs were much higher than those of the
high molecular weight (HMW) 5- and 6-ring PAHs. Fatty acids were the most abundant species in source profile, accounting for
over 90% of all identified organic compounds. More polyunsaturated fatty acid (linoleic acids) than the saturated fatty acid
(stearic acids) emitted in the cooking. Charcoal broiling is a minor source of PAHs compared to the source of biomass burning.
Comparing the ratios of levoglucosan/fatty acid and levoglucosan/cholesterol in the charcoal broiling samples to the ambient
samples, it is evident that meat cooking is an important source of fatty acids, but a less important source of cholesterol.
Cooking, as one of the source of fine organic particles, plus other anthropogenic sources would be related to the formation
of the severe haze occurred and spread over the urban atmosphere in most of the cities of China in the past several years. 相似文献
16.
以武汉市为研究区域,基于实地调查获得典型行业污染源活动水平,以大气污染物排放清单编制技术指南为参考,利用排放因子法建立2014年武汉市大气污染源排放清单,并结合经纬度、人口密度分布、土地利用类型、道路长度等数据将排放清单进行了3 km×3 km网格化处理.结果表明,2014年武汉市SO2、NOx、PM10、PM2.5、CO、BC、OC、VOCs和NH3排放量分别为10.3、17.0、16.3、7.1、63.1、0.6、0.4、19.8和1.6万t.固定燃烧源为SO2排放的主要来源,其贡献率约64%;移动源为NOx的主要来源,其贡献率约51%;颗粒物排放主要来源于扬尘源和工艺过程源;CO和VOCs主要来源于工艺过程源,BC和OC排放均以移动源和生物质燃烧源为主,NH3排放主要来自农业源.污染物排放主要集中在青山区至新洲区一带. 相似文献
17.
2003—2009年中国污水处理部门温室气体排放研究 总被引：5，自引：0，他引：5
基于《中国环境统计年报》等的统计数据,采用IPCC提供的方法估算了2003—2009年我国源自污水处理部门的温室气体排放量,并对污水处理部门人均温室气体排放量进行分析。结果表明,2003—2009年污水处理部门温室气体排放呈增加趋势,源自生活污水的N2O排放是主要排放源,生活污水CH4排放增速最快;工业行业中造纸业废水的CH4排放是主要排放源;人均温室气体排放量呈现递增趋势。 相似文献