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.     

太原市污灌区农田土壤中多环芳烃污染特征及生态风险评价

通过对污灌区农田土壤多环芳烃(Polycyclic Aromatic Hydrocarbons,PAHs)的分布特征、污染程度及来源进行解析,深入了解污水灌溉引发的土壤污染问题,实现污水灌溉农田土壤的污染预警和科学合理利用.在太原污灌农田共采集110个土壤样品,使用气相色谱-质谱仪(Gas Chromatography...     

大气PM_(10)中多环芳烃的污染特征

利用GC-MS对2008年5月至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.结果表明,不同采样点PM10浓度均偏高,超标率为14%—238%;PM10浓度水平为谢家集田十五小大通三小淮化集团理工校园.研究区内16种PAHs浓度总量的范围在15.20ng.m-3—111.58ng.m-3之间,平均浓度为64.36ng.m-3,4环以上的稠环芳烃占总浓度的86%.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.     

Sources and spatial distribution of polycyclic aromatic hydrocarbons in coastal sediments of the Basque Country (Bay of Biscay)

This contribution characterises the sources and distribution of polycyclic aromatic hydrocarbons (PAHs) in sediments of the Basque coast (Bay of Biscay). Different source characterisation approaches (i.e. GIS assisted-chemometrics, PAH diagnostic ratios and analyses of composition profiles) were used in combination to successfully identify the factors determining the origin and distribution of PAHs. Urban/industrial combustion processes were identified as the main PAH source. However, the analysis of PAH composition patterns and diagnostic ratios identified secondary natural and petrogenic PAH sources on small spatial scales. The median ∑18PAH concentration ranged from 66 μg kg^?1 (d.w.) to 7021 μg kg^?1 (d.w.). The Ibaizabal estuary, which supports most of the anthropogenic pressure in the region (i.e. urban development, industrialisation, commercial and recreational harbours), also showed the highest PAH concentrations. On the shelf, human activities, hydrodynamic conditions and geomorphological features led to spatial differences in the PAH concentrations among sectors: the offshore and west sectors were characterised by higher concentrations, while the lowest values were found in the mid and east sectors. The results enhance the knowledge on PAH-related contamination processes and could be used to support the environmental assessment process required under current European marine legislation.     

Characterization and source apportionment of polycyclic aromatic hydrocarbons in the ambient air (Tehran,Iran)

Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous in the urban atmosphere and the atmospheric pollutants to be identified as the most suspected carcinogens. In early measurements of urban PAH concentrations in Tehran area, the correlation between concentrations of different species indicated that automobiles were the predominant source of emission of PAHs in this city. From the diagnostic ratios, the results indicated that PAHs in the ambient air in Tehran originate primarily from diesel and gasoline engines, but contribution of the related diesel emission is apparently higher, or dominant, at the sampling sites and therefore considered as the major emission of PAHs in the ambient air.     

Ökotoxikologische Bioindikation

Atmospheric heavy metals, (Pb, Cd, Cu, Zn), PAHs, and PCBs, depositions were monitored in scots pine needles during a monitoring network programme (Monitoring Programme Natural Budget Berlin and Environs) in 1991 in the city of Berlin, and the surrounding rural areas of Brandenburg (Germany). The total area of the network covered 3,000 km². The passive monitoring technique is based on the fact that the concentrations of heavy metals, PAH’s and PCB’s in the needles are closely correlated to atmospheric depositions/emissions. The objectives of the project were to characterize qualitatively and quantitatively the regional atmospheric deposition patterns of heavy metals, PAH’s and PCB’s in rural and polluted urban areas of Berlin and Brandenburg. The indication of the locations which could be characterized as heavy metals, PAH and PCB pollution sources was also targetted in this investigation. After conclusion, comparison with similar studies conducted in different parts of Germany and Europe would be possible. The regional background deposition levels showed different distribution patterns. The lead and PAH concentrations in the pine needles were closely correlated to the locations of combustion sources petrol, oil, brown coal and heavy traffic activities. The PCB and cadmium concentration levels in the pine needles represented a more ubiquitous distribution pattern.     

Lichens to distinguish urban from industrial PAHs

This paper shows that lichens can be used as biomonitors to distinguish urban from industrial polycyclic aromatic hydrocarbons (PAHs). PAHs are atmospheric pollutants originating mainly from incomplete combustion of fuels in vehicles and industry. The occurrence of PAHs in air is a serious health issue in urban areas and industrial areas because some PAHs are carcinogenic. Biomonitoring PAHs with lichens is generally applied for quantification of PAHs. However, the precise sources of PAHs are not well known. Here we use lichen to trace the source of PAHs. PAHs were analyzed in Pyxine subcinerea Stirton, a lichen species collected from twelve sites which vary from urban and industrial to periurban forest area of Haridwar, in the foothills of the Indian Himalayas. Total PAH concentration ranged between 1.25 and 187.3 μg g⁻¹. Results indicate a clear distinction between urban and industrial PAHs profile, using principal component analysis. Lichen sampled from industrial sites exhibited higher concentrations of two-, five-, and six-ringed PAHs, up to 60% of total PAHs, while samples from urban sites were dominated by four-ringed PAHs, predominantly fluoranthene and acenaphthylene. Molecular ratios indicate that combustion was the dominant source of origin of PAHs in industrial area, while urban sites showed mixed origin of PAHs, both pyro- and petrogenic.     

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．     

Source characterisation and mid-term spatial and temporal distribution of polycyclic aromatic hydrocarbons in molluscs along the Basque coast (northern Spain)

The variability of polycyclic aromatic hydrocarbons (PAH) measured in the soft tissues of Mediterranean mussels (Mytilus galloprovincialis) and Pacific oysters (Crassostrea gigas) are investigated. Samples were collected from estuarine waters within the Basque Country (Bay of Biscay), between 2003 and 2011. PAH bioaccumulation showed some seasonality and significant differences were observed between cold (autumn–winter) and warm (spring–summer) seasons. Sites located within the ports of Bilbao and Pasaia showed the highest PAH concentrations in molluscs, and the highest percentages of samples above the established Environmental Quality Standards and Environmental Assessment Criteria. Probably due to human activities carried out in the area, no clear trends were observed, between 2003 and 2011, for the autumn data. Since the Basque coast is an area with high population density and industrial activity, the congener profiles (which reveal the predominance of tetra-aromatics) and the diagnostic ratios identified urban/industrial combustion processes as the main PAH sources. However, natural and petrogenic sources cannot be disregarded.     

白洋淀湿地表层沉积物多环芳烃的分布、来源及生态风险评价

对白洋淀湿地表层沉积物15种多环芳烃含量进行了检测.结果表明,其总含量范围为324.6~1738.5ng·g-1,整体来看,白洋淀湿地多环芳烃污染处于中等偏低污染水平.多环芳烃组成主要以2~3环、4环为主,其含量分别占总含量的47.8%、28.6%.白洋淀湿地表层沉积物多环芳烃主要以化石燃料、木柴及生物质低温燃烧来源为主,个别样点受油类排放污染严重.风险评价表明,严重的多环芳烃生态风险在白洋淀湿地表层沉积物中不存在,但是在部分区域某些多环芳烃含量超过了效应区间低值(ERL),可能存在着对生物的潜在危害.     

室内空气中多环芳烃污染的测量和特征性研究

本文就室内空气中多环芳烃典型污染源－室内燃煤和室内吸烟排放的多环芳烃组成和含量进行了测定，并同室外大气（对照）中多环芳烃组成含量进行了对比，研究了室内环境不同污染源排放多环烃组成和含量的特征性，结果表明，室内燃煤污染同燃煤型室外大气源排放多环芳烃具有相似组成含量特征，而室朵烟草烟雾污染源的多环芳烃组成含量特征，则与室外煤型和交通型均有显著区别。     

基于统计方法的辽东湾沉积物中多环芳烃来源特征分析

为研究辽东湾表层沉积物中多环芳烃(PAHs)的来源特征,2014年5月采集了20个辽东湾海域表层沉积物样品,并利用气相色谱质谱联用仪对优先控制的16种PAHs进行测定,采用聚类分析、主成分分析-多元线性回归分析、异构体比值3种统计方法对辽东湾表层沉积物中PAHs来源特征进行了研究。结果表明,辽东湾表层沉积物中PAHs含量范围88.5~199.3 ng·g-1,平均值为(126.3±35.3)ng·g-1,其中,萘、菲和荧蒽是PAHs优势组分。通过统计分析结果表明,辽东湾北部表层沉积物中PAHs含量低于西南部,沉积物中PAHs的来源包括石油燃烧来源、煤炭、木材等生物质燃烧来源和石油来源,其中燃烧来源是主要来源,煤炭、木材等生物质燃烧来源占49.9%,石油燃烧来源和石油来源占50.1%。     

长江流域表层沉积物中多环芳烃分布特征及来源解析

长江流域沉积物多环芳烃分析表明,多环芳烃浓度总和(不包括苝)约为10.31~1 239 ng·g-1,与国内外其他区域相比,整体处于一个低至中等程度的污染水平。长江自上游至下游,沉积物中多环芳烃含量呈上升趋势,与沿途各省多环芳烃的排放状况相吻合。扬州(YZ)和湘江(XJ)采样点沉积物中多环芳烃含量最高,污染最严重。根据多环芳烃的比值特征,长江流域沉积物中多环芳烃主要受以煤、木材、油类的燃烧影响较大,还有部分来自油类的泄漏,极少量来自自然成因。     

太湖胥口湾表层水和沉积物中多环芳烃的浓度水平及生态风险

多环芳烃(polycyclic aromatic hydrocarbons,PAHs)是环境中普遍存在的稠环类化合物,由于其对人体健康和生态环境产生较大危害,美国环保局将16种PAHs列为优先控制的污染物。PAHs也是太湖流域的主要污染物之一。作为华东地区的重要水系和水源地,研究太湖环境质量的变化对改善太湖流域水生生态系统和提高沿岸居民身体健康具有重要意义。论文研究了太湖胥口湾水域表层水和沉积物的PAHs。结果显示,表层水和沉积物的PAHs总浓度分别为7.2~83 ng·L~(-1)和66~620ng·g~(-1)干重;年均值为29 ng·L~(-1)和218 ng·g~(-1)干重;年均毒性当量浓度为2.4 ng·L~(-1)和28 ng·g~(-1)干重。沉积物中的主要污染物为荧蒽、芘和,影响毒性当量浓度的主要是苯并(a)芘和二苯并(a,h)蒽。4环PAHs在沉积物中占主要,其浓度百分比为44%~48%,而5环PAHs则占毒性当量总浓度的90%以上,说明其危害主要来自5环PAHs。PAHs特征化合物比值分析表明,胥口湾沉积物中PAHs主要来源于煤和木材燃烧,表层水大部分为燃烧和石油的混合来源。污染水平的时空变化特点为丰水期(8月)表层水PAHs浓度偏高,沉积物偏低。湖区和湖岸的PAHs浓度只在丰水期有显著差异,表层水PAHs浓度湖区高于湖岸,沉积物相反;其他时期湖区和湖岸PAHs浓度无显著差异。根据加拿大沉积物环境质量标准,胥口湾整体生态风险水平较低。从时空分布特征来看,个别生态风险较高的点主要分布在湖岸,5月平水期可能是沉积物中PAHs生态风险较高的频发期。     

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。     

Spatiotemporal multimedia emission inventory for polycyclic aromatic hydrocarbons near petroleum production plants in China based on a 10′ × 10′ grid

A spatiotemporal model was developed to investigate emissions of polycyclic aromatic hydrocarbons (PAHs) in Daqing, a Chinese city with large petroleum industry plants. The model was based on land-use types determined on a 10′?×?10′ grid. A geographic information system and regression analyses were used to characterise spatial and temporal variations in PAH emissions into multiple environmental media. The simulated results were validated using previously published experimental data, and the model was found to function well. PAH emissions to the atmosphere, soil, and surface water between 1998 and 2013 were estimated. The results indicated that PAH emissions to the atmosphere increased but PAH emissions to the soil and surface water decreased over the study period. PAH emissions to the atmosphere were markedly higher in winter than in summer. PAH emissions were concentrated in urban areas and areas near petroleum production plants, indicating that PAH emissions were closely related to industrial activities. The results will support research into the migration and transformation of PAHs and human health and ecological risk assessments. The results may also be useful for developing policies for controlling PAH pollution and managing risks associated with PAHs.     

Characterization and sources of PAHs in an urban river system in Beijing,China

Water samples from 20 locations on rivers in the Tongzhou District of Beijing were collected four times from July 2005 to March 2006. In addition, sediment samples were collected in July 2005. All samples were analyzed for 16 US Environmental Protection Agency (EPA) priority pollutants polycyclic aromatic hydrocarbons (PAHs). The concentration, distribution, seasonal variation, and sources of the 16 PAH compounds identified in the water samples, suspended particles, and surface sediments were then evaluated. The concentrations of PAHs in the water and suspended particle and surface sediment samples ranged from 87.3 to 1,890 ng l⁻¹, 1,330 to 27,700 ng g⁻¹, and 156 to 8,650 ng g⁻¹, respectively. These results demonstrated that rivers in the Tongzhou District of Beijing had a high level of PAH pollution, especially in the suspended particles. The highest and lowest concentrations of PAHs in the water samples were observed in summer and spring. However, the seasonal variations in the concentration of PAHs in the suspended particles were more complicated. The dominant compounds in the water, suspended particle, and surface sediment samples were two-, three- and four-ring PAH compounds, respectively. Ratio analysis illustrated that fuel-burning was the primary source of PAHs in the study area. Gasoline, diesel, coal, and coke oven sources were identified and the contributions of the different fuel-burning sources were then calculated using factor analysis and multiple linear regression. These analyses revealed that coal combustion, gasoline combustion plus coke oven emission, and diesel combustion accounted for 38.8%, 38.5%, and 22.7% of the PAHs in suspended particles, respectively.     

云南宣威肺癌高发区C1煤燃烧排放颗粒物中PAHs的组成特征及健康风险

宣威煤燃烧排放产物与其所导致的肺癌高发率一直是国际学术界关注的热点,但煤燃烧排放颗粒物中的关键致毒组分还不清楚。以肺癌高发区产出的晚二叠世C1煤燃烧排放不同粒径颗粒物为研究对象,分析其中主要有害有机污染物多环芳烃(PAHs)的分布特征及其健康风险。结果表明宣威煤燃烧排放的颗粒物中16种PAHs的总质量浓度为77 359.21 ng·m-3,其中含量最高的是苯并(g,h,i)苝,其他主要的PAHs依此为:屈、苯并(b)荧蒽、苯并(a)蒽、荧蒽、二苯并(a,h)蒽、菲、苯并(k)荧蒽、茚并(1,2,3-cd)芘;强致癌化合物苯并a芘(Ba P)总浓度亦可达到10 060.13 ng·m-3;这些有害有机物主要分布在细颗粒物中;不同粒径颗粒物的毒性当量存在明显差异,细颗粒的毒性当量占可吸入颗粒物中PAHs总毒性当量的87.4%,远高于粗颗粒(12%)和超细颗粒物(0.4%)的毒性当量。     

Source apportionment of polycyclic aromatic hydrocarbons in Lake Baikal water and adjacent air layer

The composition of polycyclic aromatic hydrocarbons (PAHs) in Lake Baikal water and adjacent air layer and PAH emission composition profiles of possible sources were investigated. Analysis of emission composition data showed that the source profiles could not be grouped by fuel type or pyrogenic/petrogenic origin. Because of the similarity of source PAH profiles, the drawing of 3D mixing diagrams was the only way to check whether some of the potential PAH sources were the true sources. The mixing diagrams showed that the sources of air pollution were paper mills and wood burning and that the sources of water pollution were coal-fired and oil-fired boilers. The common source for both air and water was only oil and petroleum products. To determine the locations of PAH sources, their contributions to air and water pollution were calculated and mapped. Based on the results, air and water were polluted from both local and regional sources. The location of the zone influenced by a particular source was conditioned by physical properties of source emission, direction of air/water flows that transfer PAHs and temperature differences between mixing air/water flows.     

An interval dynamic multimedia fugacity (IDMF) model for environmental fate of PAHs and their source apportionment in a typical oilfield,China

An interval dynamic multimedia fugacity (IDMF) model with a new validation criterion of interval average logarithmic residual error (IALRE) was developed in this study. The environmental fate of polycyclic aromatic hydrocarbons (PAHs) and their source apportionment in a typical oilfield of China were simulated from 1985 to 2010. The PAH concentrations predicted by the model were in agreement with the measured concentrations, which were indicated by the IALREs calculated at 0.41, 0.63, 0.52, and 0.58 for air, water, soil, and sediment, respectively. The multimedia concentrations of Σ16 PAHs were 29.55, 39.22, 31.98, and 26.69 times greater in 2010 than those in 1985, and were higher than any other year modelled. Additionally, 87.82% of PAHs remained in the soil in 2010. PAH source emission into the soil was the major modelled source, whereas PAH degradation in the air was the major modelled loss pathway; the dominant transfer process between the adjacent compartments was atmospheric deposition from air to soil. It was demonstrated that high-temperature combustion was the major source of PAHs in the air and soil, whereas biomass and coal combustion were attributed to water and sediment compartments. The IDMF model was effective in the dynamic source apportionment of PAHs.