Vertical distribution and environmental significance of PAHs in soil profiles in Beijing,China

Vertical distribution of both the concentration and composition of polycyclic aromatic hydrocarbons (PAHs) in ten profiles in Beijing has been investigated. The results showed that PAH concentrations and compositions in topsoil from different sampling sites were different. PAH concentrations were much higher in topsoil of the investigated urban area, industrial region, and paddy field with wastewater irrigation than in other areas. Moreover, PAH concentrations in topsoil were much higher than those at greater depth, where the concentrations were relatively consistent in most soil profiles. The fingerprints of PAHs in the samples from topsoil (0–30 cm) in the same profiles were similar and were obviously different from those at greater depth, suggesting that PAH sources were consistent in topsoil samples and were discriminating between topsoil and deeper soils. PAHs in topsoil mainly arose from mixed sources of combustion of liquid fuel, coal, and/or wood, as well as wastewater irrigation, while those at greater depth were derived from soil genesis and the process of soil formation.     

Particle-bound polycyclic aromatic hydrocarbons in typical urban of Yunnan-Guizhou Plateau: Characterization,sources and risk assessment

• The sampling was conducted in city on the Yunnan-Guizhou Plateau for one year. • The groups of PAHs revealed their different environmental fates and migration paths. • Seasonal biomass burning could affect the concentration by long-distance transport. • Industrial sources and traffic emissions were the main contributor of PAHs. • Living in industrial areas or winter had higher health risk by exposure PAHs in PM_2.5. Monthly particle-phase ambient samples collected at six sampling locations in Yuxi, a high-altitude city on the edge of Southeast Asia, were measured for particle-associated PAHs. As trace substances, polycyclic aromatic hydrocarbons (PAHs) are susceptible to the influences of meteorological conditions, emissions, and gas-particulate partitioning and it is challenging job to precise quantify the source and define the transmission path. The daily concentrations of total PM_2.5-bound PAHs ranged from 0.65 to 80.76 ng/m³, with an annual mean of 11.94 ng/m³. Here, we found that the concentration of PM_2.5-bound PAHs in winter was significantly higher than that in summer, which was mainly due to source and meteorology influence. The increase of fossil combustion and biomass burning in cold season became the main contributors of PAHs, while precipitation and low temperature exacerbated this difference. According to the concentration variation trend of PM_2.5-bound PAHs and their relationship with meteorological conditions, a new grouping of PAHs is applied, which suggested that PAHs have different environmental fates and migration paths. A combination of source analysis and trajectory model supported local sources from combustion of fossil fuel and vehicle exhaust contributed to the major portion on PAHs in particle, but on the Indochina Peninsula the large number of pollutants emitted by biomass burning during the fire season would affect the composition of PAHs through long-range transporting. Risk assessment in spatial and temporal variability suggested that citizens living in industrial areas were higher health risk caused by exposure the PM_2.5-bound PAHs than that in other regions, and the risk in winter was three times than in summer.     

北京城区屋面径流中PAHs的污染特征与来源解析

以北京典型城区屋面径流中的PAHs为研究对象,在2008年雨季采集了不同地点的屋面径流,分析了溶解相和颗粒相PAHs的质量浓度,对屋面径流中PAHs的质量浓度特征、时空变化规律及来源进行了讨论。结果表明,屋面径流具有较严重的PAHs污染,16种PAHs在溶解相中的总质量浓度为563.85~937.01 ng.L-1,来源主要是机动车排放（31.9%）、煤燃烧（39.6%）、天然气燃烧（15.3%）及石油类的挥发（14.2%）;在颗粒相中的总质量浓度为844.48~1372.62 ng.L-1,来源主要包括燃煤（51.8%）、汽油（38.1%）和柴油（10.1%）的燃烧等。BaP的EMC平均值（172 ng.L-1）远远超过我国污水排放标准（30 ng.L-1）,且以颗粒相为主。不同地点采集的屋面径流中的PAHs质量浓度大部分表现出较明显的初期效应和时间变化,而在不同采样点之间则没有明显的空间差异。     

大型钢铁厂及其周边土壤多环芳烃污染现状调查、评价与源解析

采用气相色谱-质谱联机方法(GC-MS)分析了东北某钢铁厂及周边居住区、风景区共11个采样点表层土壤样品16种多环芳烃(PAHs),结果表明,钢铁工业区16种PAHs(∑PAHs)浓度范围为3.39×103—1.54×105ng·g-1,平均浓度3.21×104ng·g-1;居住区∑PAHs浓度范围为587—6.70×103ng·g-1,平均浓度3.82×103ng·g-1;风景区千山∑PAHs浓度385 ng·g-1.∑PAHs和Bap浓度均呈工业区>居住区>风景区趋势.与国内外其他研究结果相比,该钢铁工业区及其周边居住区土壤PAHs污染相对较为严重,11个采样点中有9个采样点土壤∑PAHs为严重污染,4个采样点苯并(a)芘(Bap)浓度超过加拿大土壤质量基准.利用特征比值法(Diagnostic Rate)和主成分分析法(Principal component analysis,PCA)对钢铁工业区及其周边地区土壤进行了源解析,结果表明,钢铁工业区土壤中PAHs主要来源于焦炉、燃煤、柴油燃烧等污染源,周边地区土壤除受工业污染源排放影响外,机动车汽油、柴油污染排放也有重要影响.     

北京城市道路积尘多环芳烃的粒度分布特征及其影响因素

对北京城市不同道路类型的道路积尘进行了为期16个月的采样,分别分析了道路尘的粒径、多环芳烃及TOC.道路积尘的粒径呈三峰态分布,<75 μm部分的颗粒所占体积最大,>214 μm部分颗粒所占体积最小.>214 μm这部分颗粒中的多环芳烃质量分数最低,<75μm和75～214μm这两部分颗粒中多环芳烃的质量分数没有显著差异,但由于<75μm部分颗粒所占的体积和质量比例最大,这部分颗粒的多环芳烃累积量所占比例最高.不同道路的积尘粒径存在差异,海淀路和成府路机动车道的积尘颗粒相比自行车道和人行道的颗粒更粗.由于粒径分布的差异和多环芳烃质量分数的差异,不同类型道路的多环芳烃累积量的粒径分布呈现差异.多环芳烃质量分数和累积量的粒度分布也呈现季节差异,冬春季<75 μm颗粒中的多环芳烃质量分数最高,多环芳烃的累积量所占比例也较夏秋季高.在三个粒级中,TOC与多环芳烃质量分数均呈现显著的正相关.高比例的细颗粒及细颗粒中的多环芳烃使得道路积尘再悬浮进入大气以及随湿沉降进入地表径流的环境风险加大.     

临汾市售蔬菜中多环芳烃污染特征及致癌风险分析

为了研究临汾市食物中多环芳烃(PAHs)的污染特征及对人群的健康影响,本研究于2015年1月采集当地居民普遍食用的9种蔬菜,利用气相色谱-质谱联用仪(GC-MS)检测蔬菜中8种多环芳烃(Nap、Ace、Acy、Fle、Phe、Ant、Flu、Pyr)。研究表明,PAHs在9种蔬菜中均有检出,PAHs的总浓度范围是24.86~82.85 ng·g~(-1),平均为44.13 ng·g~(-1)。其中PAHs含量最高的是圆白菜(82.85 ng·g-1),最低的是山药(24.86 ng·g~(-1))。通过来源分析发现来源地蔬菜中PAHs主要来源于液体化石燃料燃烧。临汾市不同人群食用蔬菜引起的终身增量致癌风险(ILCR)在1.27×10~(-6)~7.07×10~(-6)范围内,在目前蔬菜消费量下存在潜在致癌风险。     

北京城市道路积尘中多环芳烃的分布特征

从2006年4月至2007年7月,对北京市不同类型道路的路面积尘进行了16个月的连续采样和分析,结果显示,交通道路路面积尘的3种粒径中∑16PAHs范围为123.71～18489.5ng/g,其16个月的几何均值为2378.28～4834.68ng/g,其中以3、4环为主。冬春季路面积尘中的多环芳烃含量高于夏秋季;交通道路路面积尘中的多环芳烃含量均比对照点高,不同类型的道路也呈现出差异,在同一条道路的机动车道、自行车道和人行道也表现出显著的差异。     

珠江三角洲地区水体表层沉积物中多环芳烃的来源、迁移及生态风险评价

检测了珠江三角洲河流及南海近海表层沉积物中25种多环芳烃的含量．其含量范围为138-6793ng·g-1．主成分分析/多元回归分析结果表明,珠江三角洲水体沉积物中多环芳烃来源主要有石油排放,煤、木柴等低温燃烧排放,机动车尾气排放及生物成因．其相对贡献分别为石油排放占36％、煤、木柴燃烧占27％、机动车尾气占25％,自然来源占12％．珠江、东江河流沉积物中多环芳烃主要来源于区域内工业和生活废物的直接排入和机动车尾气的近距离沉降．西江沉积物中多环芳烃大气沉降是主要输入途径．南海沉积物中多环芳烃河流输入是主要途径．在多环芳烃由河流向海洋的输送过程中,茈可以作为一个有效指标示踪河流输送的多环芳烃．风险评价表明,东江及珠江部分河段沉积物可能存在着对生物的潜在危害,其它区域多环芳烃的生态风险处于较低水平．     

北京地区表层土壤中多环芳烃的分布特征及污染源分析

根据北京地区不同环境功能区62个样品的分析结果,讨论了研究区表层土壤中多环芳烃的分布特征及污染源类型。结果表明：（1）研究区表层土壤中检测到的多环芳烃主要包括萘、苊、菲、惹烯、三芴、荧蒽、芘、、苯并蒽、苯并[b]荧蒽、苯并[k]荧蒽、苯并[e]芘、苯并[a]芘、苝、二苯并[a,h]蒽、茚并[1,2,3–cd]芘、苯并[g,h,i]苝及其同系物;（2）不同环境功能区表层土壤中多环芳烃的组成及质量分数均存在一定的差别,16种优先控制的多环芳烃质量分数为175.1~10 344 ng.g-1,其中城市中心区表层土壤中多环芳烃的质量分数最高,交通干线附近、工矿企业附近表层土壤中PAHs的质量分数较高,林地、果园和农田表层土壤中PAHs的质量分数较低;（3）表层土壤中PAHs既有来源于石油源,也有来源于化石燃料燃烧产物的,但不同功能区二者贡献存在差别,其中农业用地（林地、果园、农田）中PAHs主要来源于石油源（或部分来源于土壤母岩中的有机质）,城区、交通干线附近及工矿企业附近表层土壤中PAHs污染源以化石燃料燃烧产物输入为主。     

Occurrence of PCBs and PAHs in an urban soil of Madrid (Spain)

Polycyclic aromatic hydrocarbons (PAHs) and polychlorinated biphenyls (PCBs) were analysed in surface soil samples collected in 2001–2002 at an open urban area of Madrid. In order to obtain representative samples, three collection points at the site were chosen. The most abundant PAHs and PCBs were phenanthrene, fluorene, pyrene, chrysene and benzo[a]pyrene and hexa- and heptachlorinated PCBs, respectively. The sum of selected PAHs (13 compounds) and PCBs (15 congeners) averaged 1 and 0.1?µg?g^?1, respectively. PCB levels in winter were 2–10 times higher than summer ones, while seasonal variation for most of PAHs were not observed. Good correlations among all PCBs were found. Five PAHs were also well correlated.     

多环芳烃(PAHs)在土壤-植物系统中的环境行为

PAHs具有强致癌性，它在环境中的污染问题日益受到重视。文章综合评述样品中PAHs分析过程所用提取剂的种类、提取方法和检测方法；土壤中PAHs的来源、含量、分布及其影响因素；PAHs在土壤中的吸附和解吸；PAHs在环境中的降解及降解PAHs的微生物类群；PAHs在植物体内的含量、分布及其影响因素。提出了今后值得加强研究的方面。     

利用三油酸甘油酯-醋酸纤维素复合膜评价土壤中多环芳烃的生物可利用性

将一种新型被动式采样器——三油酸甘油酯-醋酸纤维素复合膜(TECAMs)暴露于10种人工老化土壤中富集萘、菲、芘和苯并[a]芘4种多环芳烃(PAHs),并与土壤模型动物——赤子爱胜蚓(Eiseniafoetida)进行比较以研究该采样器用于评价土壤中多环芳烃生物可利用性的可能性.研究结果表明,TECAMs能有效富集土壤中萘、菲、芘和苯并[a]芘,并在48h内基本达到平衡,远快于赤子爱胜蚓的21d平衡时间.TECAMs内PAHs含量与土壤溶解有机碳(DOC)含量呈正相关(p<0.05),而与土壤中总有机质(TOM)含量呈负相关(p<0.05),土壤pH对TECAMs富集PAHs的影响不显著(p<0.05).TECAMs内PAHs含量与土壤中PAHs含量、赤子爱胜蚓体内PAHs含量均呈显著线性正相关(p<0.05,p<0.01).研究结果表明TECAMs有可能应用于评价土壤中PAHs的生物可利用性.     

Characterization,source apportionment and risk assessment of PAHs in urban surface dust in Shenyang city,China

Environmental Geochemistry and Health - Characteristics, profile composition, ecological and human health risk of polycyclic aromatic hydrocarbons in surface dust collected from Shenyang city,...     

徐州市售蔬菜中多环芳烃污染与健康危害

为了分析徐州市蔬菜中多环芳烃(PAHs)的污染及其对人群的健康危害,本研究于2016年5月在徐州大型农贸市场和超市采集了当地居民经常食用的7种蔬菜样品,使用气相色谱-质谱联用仪(GC-MS)分析了蔬菜样品中的8种中低环PAHs。结果表明PAHs总含量为27.7~53.8 ng·g-1,其中2、3环分别占总PAHs的45.53%、45.65%。不同类型蔬菜中PAHs含量为:叶菜类>根菜类>果菜类。运用毒性当量法计算得到徐州市不同人群对PAHs的摄食暴露量为7.88~14.65 ng·d-1,引起的致癌风险在1.79×10-7~1.08×10-6范围内,处于低致癌风险水平,但是其健康影响仍不容忽视。     

珠江水体表层沉积物中PAHs的含量与来源研究

沿珠江白鹅潭水域及大学城官州河流域设立6个采样点,利用沉积物捕获器收集沉积物。参照美国EPA8000系列方法及质量保证和质量控制,对各采样点表层沉积物中16种多环芳烃（polycyclic aromatic hydrocarbons,PAHs）进行分析,以阐明珠江广州河段表层沉积物中PAHs的含量和分布特征,并结合特征化合物指数对其来源作初步探讨。珠江广州河段表层沉积物中PAHs总量介于4 787.5～8 665 ng·g^-1,平均值为7 078 ng·g^-1,黄沙码头河涌出口沉积物中总量为最高（8 665 ng·g^-1）,芳村码头为最低（4 787.5 ng·g^-1）。16种多环芳烃中菲、荧蒽、芘含量较高,分别占PAHs总量的16.11%、14.47%和17.77%。特征化合物荧蒽/202比值均小于0.5,茚并[1,2,3-cd]芘/276比值均大于0.2,表明珠江广州段表层沉积物中PAHs主要来源于化石燃料的不完全燃烧。     

Assessment of PAHs in water and fish tissues from Great Bitter and El Temsah lakes,Suez Canal,as chemical markers of pollution sources

Sea water and fish tissue samples were collected from nine sampling stations from the Great Bitter and El Temsah lakes in the Suez Canal and analysed for polycyclic aromatic hydrocarbon (PAH). The compositions of PAH determined in the dissolved fraction of sea water were measured in order to use them as chemical markers for identifying different sources of PAH pollution in this region. PAHs determined in fish tissues were measured for comparison with human health standards as consumption. The total mean PAHs concentrations in the sea water samples ranged from 0.28 to 39.57 μg l^?1 with an overall mean of 10.78 and 12.38 μg l^?1 for El Temsah and Bitter Lakes water, respectively. Total PAHs fractions recorded in muscle tissues of all different Osteicthyes fishes collected from Great Bitter lakes ranged from 5.8 to 218.5 μg g^?1 with an overall mean of 57.98 μg g^?1 during all seasons. However, they ranged from 68 to 623 μg g^?1 with an overall mean of 87.69 μg g^?1 recorded in El Temsah lake during four seasons (2003–2004). Benzo(a)pyrene was the most dominant PAHs found in the sea water samples from both lakes with an average concentration of 3.8 μ g l^?1. Dibenzo(a,h)anthracene (DBA) was the most dominant PAHs recorded in fish samples. A maximum of 533 μg g^?1 of DBA was recorded in Dahbana sp. collected from Bitter lakes during January 2004. However, a maximum of 68.7 μ g g^?1 was recorded in Liza carinata species collected from El Temsah lake during July, 2004. The simultaneous occurrence of isomer ratios PHE/ANT<10 for all stations indicated that the major PAH input to water was from combustion of fossil fuel (pyrolytic source). The average ratios were 1.21 and 12.9 during winter (January 2004) and 4.3 and 8.63 during spring (April 2004) for all water samples of Great Bitter lakes and El Temsah lake, respectively. In addition, the present data demonstrate that PAHs from fossil fuel sources (MW<178) were the least significant source of PAHs in this region.     

Occurrence,distribution and risk assessment of abused drugs and their metabolites in a typical urban river in north China

We developed a method for determining 11 abused drugs in water and sediment. METH and EPH were the dominant drugs in water and sediment in Beiyunhe River. Abuse drugs in Beiyunhe River were mainly from hospitals and sewage effluents. Abused drugs in the water would not impair the aquatic ecosystem biologically. This study investigated the presence of 11 abused drugs and their metabolites, including amphetamine, methamphetamine (METH), ketamine, ephedrine (EPH), cocaine, benzoylecgonine, methadone, morphine, heroin, codeine, and methcathinone in the surface water and sediment samples of Beiyunhe River, a typical urban river flowing through Beijing, Tianjin, and Hebei provinces in North China. An analytical method of determining these abused drugs and their metabolites in water and sediment was developed and validated prior to sample collection in the study area. Results showed that METH and EPH were predominant in water and sediment samples. The total drug concentrations ranged from 26.6 to 183.0 ng/L in water and from 2.6 to 32.4 ng/g dry weight in sediment, and the drugs mainly originated from hospitals and sewage treatment plants. The average field-based sediment water distribution coefficients of abused drugs were calculated between 149.3 and 1214.0 L/kg and corrected by organic carbon. Quotient method was used to assess the risks. The findings revealed that these drugs and their metabolites at determined concentrations in water samples will not impair the aquatic ecosystem biologically, but their potential harmful effect on the function of the ecosystem and human health should not be overlooked.     

Passive sampling of PAHs in indoor air in Nepal

PAHs were sampled in ten homes in the Makwanpur region, Nepal. SPMDs and moss bags (Sphagnum girgensohnii) were used as passive samplers. Soot particles on the SPMD surfaces were also analyzed for PAHs. The overall PAH concentrations in SPMDs were significantly higher than those in moss bags. Total PAH mean concentrations of ten houses were 535μg/g lipid for SPMDs and 7.2 μg/g moss (dw) for moss bags. Ratios of phenanthrene/anthracene in indoor SPMDs and particulate matter varied from 2.9 to 3.5 and ratios of fluoranthene/pyrene varied from 1.1 to 1.4. The values for moss bags were respectively 1.7–3.6 and 0.8–2.4. These ratios indicate that the PAHs are from combustion origin. The PAH concentrations in ambient air were estimated as B(a)P TEQs and they were 17–64 times higher than acceptable limit for Finnish community air. Based on PAH levels in the gas phase (SPMD) we may expect PAHs to have an impact on respiratory disease prevalence in Nepalese villages. Both of the sampling methods were feasible in the difficult conditions under which the study was performed.     

武汉秋冬季大气PM2.5中多环芳烃的分布特征及来源

采集了2011—2012年武汉市工业区、交通区和植物园的3个功能区的秋冬2季大气PM2.5样品,采用超声提取预处理和GC/MS分析检测了PM2.5中27种PAHs,探讨了其时空分布特征,然后运用主成分分析/多元线性回归法解析了PAHs的来源.结果表明:PAHs的质量浓度范围为24.705~112.490 ng·m-3,PAHs的质量浓度分布呈现出工业区>交通区>植物园的规律;冬季PAHs质量浓度高于秋季等特征.不同环数PAHs质量浓度呈现出规律变化为:5环>4环>2-3环>6-7环,4环、5环的 PAH 含量比例高表明机动车尾气和煤燃烧排放是主要排放源.不同功能区化合物的比值指示来源略有不同,但总体指明了武汉主要污染源来自燃煤和机动车尾气的排放.源解析结果显示,工业区的污染源主要来自于燃煤,其贡献率为55%,其次为汽油燃烧、柴油燃烧、焦炉和轻质油燃烧.在交通区中,车辆尾气排放(34%)和天然气燃烧(25%)的贡献较大,其次是烹饪、燃煤及木材燃烧.植物园对照区的主要污染源分别是木材燃烧、燃煤、天然气燃烧、车辆排放和烹饪,其中木材燃烧(46%)的贡献最大.     

Local and regional contributions to PM2.5 in the Beijing 2022 Winter Olympics infrastructure areas during haze episodes

• Regional transportation contributed more than local emissions during haze episodes. • Short-range regional transportation contributed the most to the PM_2.5 in the OIAs. • Low wind speeds and low PBLHs led to higher local contributions to Beijing. The 2022 Winter Olympics is scheduled to take place in Beijing and Zhangjiakou, which were defined as OIAs (Olympic infrastructure areas) in this study. This study presents the characteristics and source apportionment of PM_2.5 in the OIAs, China. The entire region of mainland China, except for the OIAs, was divided into 9 source regions, including four regions in the BTH(Beijing-Tianjin-Hebei) region, the four provinces surrounding the BTH and the remaining areas. Using CAMx/PSAT, the contributions of the nine regions to the PM_2.5 concentration in the OIAs were simulated spatially and temporally. The simulated source apportionment results showed that the contribution of regional transportation was 48.78%, and when PM_2.5 concentration was larger than 75 μg/m³ central Hebei was the largest contributor with a contribution of 19.18%, followed by Tianjin, northern Hebei, Shanxi, Inner Mongolia, Shandong, southern Hebei, Henan and Liaoning. Furthermore, the contribution from neighboring regions of the OIAs was 47.12%, which was nearly twice that of long-range transportation. Haze episodes were analyzed, and the results presented the importance of regional transportation during severe PM_2.5 pollution periods. It was also found that they were associated with differences in pollution sources between Zhangjiakou and Beijing. Regional transportation was the main factor affecting PM_2.5 pollution in Zhangjiakou due to its low local emissions. Stagnant weather with a low planetary boundary layer height and a low wind velocity prevented the local emitted pollutants in Beijing from being transported outside, and as a result, local emissions constituted a larger contribution in Beijing.