2006年秋冬两季图们市大气气溶胶中多环芳烃分布规律

大气气溶胶是目前大多数城市的首要污染物,其中的多环芳烃是对人体健康危害最大的环境污染物之一。通过图们市2006年9月、12月4个采样点的大气气溶胶样品分析,研究了大气气溶胶中多环芳烃的分布规律。采用超声波萃取法提取样品中的多环芳烃,然后对其进行旋蒸浓缩,氮气吹至1ml,用高效液相色谱进行定性和定量分析。实验结果表明,美国EPA优先控制的16种多环芳烃普遍存在于图们市区的大气气溶胶中。图们市不同时空大气气溶胶中多环芳烃的分布具有一定的规律性。     

粤北韶关市冬季大气颗粒物中多环芳烃的粒径分布特征

2012年12月4日—11日,使用微孔均匀撞击式采样器(MOUDI)连续7 d采集广东省韶关市3个环境空气监测点气溶胶样品,采用GC/MS测定包括美国国家环保局(USEPA)优控多环芳烃(Σ16PAHs)在内的17种PAHs的浓度水平,并分析Σ16PAHs的粒径分布特征和来源。结果表明:韶关市冬季气溶胶颗粒中Σ16PAHs的质量浓度为17.29 ng/m3~23.97 ng/m3;Σ16PAHs集中在1.0μm~3.2μm的积聚态和粗颗粒中,呈单峰分布特征;比值参数分析显示,韶关市大气颗粒物中PAHs主要来自燃煤和汽车尾气的排放。     

重庆市春季不同功能区PM10中多环芳烃的污染特征

2012年4月在重庆市4个不同功能区连续10 d同步采集了大气PM10环境样品,利用气相色谱-质谱法分析测定美国环保局16种优控多环芳烃(PAHs).结果显示,在重庆主城区PM10中检测到16种优控PAHs,总浓度(∑PAHs)范围为31.68～ 189.31 ng/m3,平均浓度为108.05 ng/m3.各个功能区大气PM10中PAHs总浓度存在明显差别:交通区(沙坪坝七中)154.47 ng/m3＞工业区(大渡口区政府)132.92 ng/m3＞居民区(南岸工商大学)105.58 ng/m3＞对照区(缙云山风景区)39.16 ng/m3.根据典型污染来源中PAHs的特征比值综合判断,重庆市春季大气中PM10主要来源于燃煤和交通污染的混合源.     

兰州市大气降尘中有机物的污染特征

为初步了解兰州市大气降尘中有机物的污染特征,采集了兰州市的大气降尘样品,分析了其中的16种多环芳烃和16种多氯联苯。结果表明,兰州市大气降尘中16种多环芳烃的总量为28.9 mg/kg,主要浓度组分为苊、苊烯、茚并[1,2,3-CD]芘和苯并[a]芘;16种多氯联苯的总量为172μg/kg,主要组分为PCB_(169)和PCB_(138)。生态风险评价的结果表明,兰州市22.2%的大气降尘样品多环芳烃总量处于低风险,66.7%的样品处于中等风险,多氯联苯总量以中等风险和高风险为主。     

龙岩市区大气颗粒物中多环芳烃的种类和时空分布特征及来源

采用恒能量同步荧光法检测了龙岩市大气颗粒物样品中的多环芳烃(PAHs),比较了龙岩市区大气颗粒物中多环芳烃含量的差异以及不同季节对多环芳烃含量的影响,讨论了其分布规律及污染源。     

柳州市大气颗粒物中多环芳烃的种类和时空分布特征及来源

采用气相色谱/质谱联用技术(GC/MS)检测了柳州市大气颗粒物样品中的PAHs,比较了柳州市各区大气颗粒物中多环芳烃含量的差异以及不同季节对多环芳烃含量的影响,讨论了其分布规律及污染源.     

环境中多环芳烃前处理和分析方法

多环芳烃(PAHa)是一类广泛存在于大气、水体、土壤、沉积物中的持久性有机污染物,对环境和生物体存在较大危害.介绍了国内外部分水体中PAHs的污染状况,对液态和固体PAHs的主要前处理方法和分析方法进行了比较和归纳,展望了环境样品中PAHs的前处理和分析方法的发展方向.     

南通市环境空气细颗粒物中多环芳烃的污染特征及来源

用玻璃纤维滤膜采集PM_(2.5)样品,乙腈超声提取-高效液相色谱法分析测量多环芳烃浓度。结果表明:PAHs的浓度变化受到大气降水的影响,夏季浓度最低,冬季浓度最高,PM_(2.5)中PAHs总量月平均变化趋势呈"凹"形变化;PAHs的结构以2~3环、5~6环为主;比值法显示PAHs来源与稳定的排放源相关,机动车排放不容忽视,与北方城市燃煤污染有着较大区别。     

南京市典型地区大气多环芳烃污染特征及健康风险评价

采用气相色谱-质谱法,于2016年9月和12月对南京市2个典型地区大气中16种多环芳烃(PAHs)的质量浓度进行分析,并开展了PAHs组成特征、来源解析及人体健康风险评价研究。结果表明,工业区(六合区)和生活区(江宁区)大气(气态和可吸入颗粒态)中16种PAHs的质量浓度分别为914.82和712.27 ng/m~3,苯并[a]芘毒性等效浓度分别为274.1和309.84 ng/m~3,且呈现冬季高、秋季低的特征。比值法源解析结果表明,燃煤污染是六合区PAHs污染主要来源,而江宁区主要表现为交通污染。人体健康风险评价结果表明,六合区和江宁区人群通过大气吸入PAHs的超额致癌风险分别为5.17×10~(-5)和5.85×10~(-5),均略高于可接受水平10~(-6)。     

株洲市区农业土壤中多环芳烃的分布特征研究

采集株洲市区农业土壤表层样品185个,用高效液相色谱法对16种多环芳烃(PAHs)进行检测结果表明,除萘外,其余15种PAHs均有不同程度的检出,以苯并[b]萤蒽、萤蒽和苯并菲等3或4环PAHs为主, ～5521μg/kg之间,平均280μg/kg.地域上,石峰区、芦淞区>天元区>荷塘区;从土地利用类型看,旱地>水田>林地.按Maliszewska-Kordybach土壤污染程度分级标准,株洲市区农业土壤总体上受到PAHs轻度污染,这些PAHs主要来源于工业生产、交通运输等过程中化石燃料的燃烧.     

Polycyclic aromatic hydrocarbons in soils from Urumqi, China: distribution, source contributions, and potential health risks

Concentrations of 16 priority polycyclic aromatic hydrocarbons (PAHs) were measured in 28 surface soils samples collected from Urumqi, northwest China, for examination of distributions, source contributions, and potential health effects. The results indicated that the sum of 16 PAHs concentration ranged from 331 to 15,799 μg?kg^?1 (dw) in soils, with a mean of 5,018?±?4,896 μg?kg^?1 (n?=?28). The sum of seven carPAHs concentration ranged from 4 to 1,879 μg?kg^?1 (dw; n?=?28). The highest ∑PAHs concentrations were found at roadsides and industrial sites, followed by those at parks, rural areas, and business/residential areas. Coal combustion, emission of diesel and gasoline from vehicles, and petroleum source were four sources of PAHs as determined by PMF analysis, which contributed 51.19, 19.02, 18.35, and 11.42 % to the PAH sources, respectively. Excellent coefficients of correlation between the measured and predicted PAHs concentrations suggested that the PMF model was very effective to estimate sources of PAHs in soils. Incremental lifetime cancer risk values at the 95th percentile due to human exposure to surface soils PAHs in Urumqi were 2.02?×?10^?6 for children and 2.72?×?10^?5 for adults. The results suggested that the current PAHs levels in soils from Urumqi were pervasive and moderately carcinogenic to children and adults.     

Seasonal Variation of the Particle Size Distribution of n-Alkanes and Polycyclic Aromatic Hydrocarbons (PAHs) in Urban Aerosol of Guangzhou, China

Seasonal aerosol samples have been collected by Andersen Hi-Vol pumping system equipped with a five stage cascade impactor and a backup filter (size range: 10–7.2 μ m, 7.2–3.0 μ m, 3.0–1.5 μ m, 1.5–0.95 μ m, 0.95–0.49 μ m, ≤0.49 μ m) in the Liwan district, Guangzhou. n-Alkanes were measured using gas chromatography and PAHs were measured using gas chromatography/mass spectrometry analysis. The bimodal log-normal distributions of n-alkanes and semi-volatile PAHs were found, while for non-volatile PAHs that was unimodal, so much as the mode of semi-volatile PAHs was similar with that of the particles. The n-alkanes and PAHs were preferably associated with fine particles. C _max (carbon number maximum) (C₂₂–C₂₆), CPI (carbon preference index) (1.12–1.21), U/R (unresolved to resolved components ratio) (7.42–10.7), wax% (0.9–3.12%) and the diagnostic ratios for PAHs revealed that vehicular emission was the major source of these organic compounds during the study periods, while the contribution of epicuticular waxes emitted by terrestrial plants was minor. CPI₂ (values for petrogenic hydrocarbons), CPI₃ (values for biogenic n-alkanes) and wax% revealed that the natural preferentially accumulated in the larger aerosol while the anthropogenic in the smaller. In addition, the different MMDs (mass median diameters) for n-alkanes and PAHs were observed in different seasons. The MMDs for n-alkanes and PAHs were higher in autumn/winter than those in spring/summer. The seasonal effect was related to the hydrocarbon content in the individual particulate fractions, showing a preferential association of n-alkanes and PAHs with larger particles in the autumn/winter season.     

淮南市大气PM_(10)中多环芳烃污染特征的研究

对2008年05至11月淮南市5个采样点大气可吸入颗粒物(PM10)样品进行分析,总结了研究区内PM10及其中16种PAHs的浓度特征、季节变化规律和来源解析。研究区内16种PAHs浓度总和的范围在15.20~111.58ng.m-3之间,平均值为40.40ng.m-3,中位数为33.34ng.m-3。PAHs总量的季节变化与采样时环境温度显示出较好的负相关性,即秋季>春季>夏季;运用多环芳烃比值综合判断,淮南市大气PM10中PAHs主要以燃煤和机动车尾气混合来源为主,石油源和木材燃烧来源的贡献较小。     

Polycyclic aromatic hydrocarbons in bulk PM2.5 and size-segregated aerosol particle samples measured in an urban environment

To analyze polycyclic aromatic hydrocarbons (PAHs) at an urban site in Seoul, South Korea, 24-hr ambient air PM_2.5 samples were collected during five intensive sampling periods between November 1998 and December 1999. To determine the PAH size distribution, 3-day size-segregated aerosol samples were also collected in December 1999. Concentrations of the 16 PAHs in the PM_2.5 particles ranged from 3.9 to 119.9 ng m⁻³ with a mean of 24.3 ng m⁻³.An exceptionally high concentration of PAHs(∼120 ng m⁻³) observed during a haze event in December 1999 was likely influenced more by diesel vehicle exhaust than by gasoline exhaust, as well as air stagnation, as evidenced by the low carbon monoxide/elemental carbon (CO/EC) ratio of 205 found in this study and results reported by previous studies. The total PAHs associated with the size-segregated particles showed unimodal distributions. Compared to the unimodal size distributions of PAHs with modal peaks at < 0.12 μm measured in highway tunnels in Los Angeles (Venkataraman and Friedlander, 1994), four- to six-ring PAHs in our study had unimodal size distributions, peaking at the larger size range of 0.28–0.53 μm, suggesting the coagulation of freshly emitted ultrafine particles during transport to the sampling site. Further, the fraction of PAHs associated with coarse particles(> 1.8 μm) increased as the molecular weight of the PAHs decreased due to volatilization of fine particles followed by condensation onto coarse particles.     

Identification of sources of elevated concentrations of polycyclic aromatic hydrocarbons in an industrial area in Tianjin, China

The concentrations of 16 polycyclic aromatic hydrocarbons (PAHs) were determined by gas chromatography equipped with a mass spectrometry detector in 105 topsoil samples from an industrial area around Bohai Bay, Tianjin in the North of China. Results demonstrated that concentrations of PAHs in 104 soil samples from this area ranged from 68.7 to 5,590 ng g^???1 dry weight with a mean of ∑16PAHs 814 ± 813 ng g^???1, which suggests that there exists mid to high levels of PAH contamination. The concentration of ∑16PAHs in one soil sample from Tianjin Port was exceptionally high (48,700 ng g^???1). Ninety-three of the 105 soil samples were considered to be contaminated with PAHs (>200 ng g^???1), and 25 were heavily polluted (>1,000 ng g^???1). The sites with high PAHs concentration are mainly distributed around chemical industry parks and near highways. Two low molecular weight PAHs, naphthalene and phenanthrene, were the dominant components in the soil samples, which accounted for 22.1% and 10.7% of the ∑16PAHs concentration, respectively. According to the observed molecular indices, house heating in winter, straw stalk combustion in open areas after harvest, and petroleum input were common sources of PAHs in this area, while factory discharge and vehicle exhaust were the major sources around chemical industrial parks and near highways. Biological processes were probably another main source of low molecular weight PAHs.     

The concentrations, distribution and sources of PAHs in agricultural soils and vegetables from Shunde, Guangdong, China

The concentrations, distribution and sources of 16 polycyclic aromatic hydrocarbons (PAHs) were determined in 30 agricultural soil and 16 vegetable samples collected from subtropical Shunde area, an important manufacturing center in China. The total PAHs ranged from 33.7 to 350 μg/kg in soils, and 82 to 1,258 μg/kg in vegetables. The most abundant individual PAHs are phenanthrene, fluoranthene, chrysene, pyrene and benzo(b)fluoranthene for soil samples, and anthracene, naphthalene, phenanthrene, pyrene and chrysene for vegetable samples. Average vegetable–soil ratios of total PAHs were 2.20 for leafy vegetables and 1.27 for fruity vegetables. Total PAHs in vegetable samples are not significantly correlated to those in corresponding soil samples. Principal component analyses were conducted to distinguish samples on basis of their distribution in each town, soil type and vegetable specie. Relatively abundant soil PAHs were found in town Jun’an, Beijiao, Chencun, Lecong and Ronggui, while abundant vegetable PAHs were observed in town Jun’an, Lecong, Xingtan, Daliang and Chenchun. The highest level of total PAHs were found in vegetable soil, followed by pond sediment and “stacked soil” on pond banks. The PAHs contents in leafy vegetables are higher than those in fruity vegetables. Some PAH compound ratios suggest the PAHs derived from incomplete combustion of petroleum, coal and refuse from power generation and ceramic manufacturing, and paint spraying on furniture, as well as sewage irrigation from textile industries. Soil PAHs contents have significant logarithmic correlation with total organic carbon, which demonstrates the importance of soil organic matter as sorbent to prevent losses of PAHs.     

Polycyclic aromatic hydrocarbons in surface water and bed sediments of the Hungarian upper section of the Danube River

This study was performed to elucidate the distribution, concentration trend and possible source of polycyclic aromatic hydrocarbons (PAHs) in surface water and bed sediments of the Hungarian upper section of the Danube River and the Moson Danube branch. A total of 217 samples (water and sediments) were collected from four different sampling sites in the period of 2001–2010 and analysed for the 16 priority US Environmental Protection Agency PAHs. Concentrations of total 16 PAHs (∑PAHs) in water samples ranged from 25 to 1,208 ng/L, which were predominated by two- and three-ring PAHs. The ∑PAH concentrations in sediments ranged from 8.3 to 1,202.5 ng/g dry weight. Four-ring PAHs including fluoranthene and pyrene were the dominant species in sediment samples. A selected number of concentration ratios of specific PAH compounds were calculated to evaluate the possible sources of PAH contamination. The ratios reflected a pattern of pyrogenic input as a major source of PAHs. The levels of PAHs determined were compared with other sections of the Danube and other regions of the world.