某焦化场地土壤多环芳烃污染数据的统计特征

分析污染场地调查数据的统计特征能够帮助判别污染物在场地中的空间变异特征以及污染来源和成因.本文以我国某焦化场地为对象,对采集的表层土壤114个样点16种多环芳烃(PAHs)含量数据进行多元统计和空间特征分析.结果表明:每种污染物的含量范围差异显著,具有高度的偏倚性;多元统计分析提取的前2个主成分可以有效代表原场地污染数据信息.选择苯并(a)蒽、苯并(b,k)荧蒽、苯并(a)芘和茚并(1,2,3-cd)芘4种污染物进行趋势分析和空间局部变异分析,在场地的东西和南北方向的污染物含量均表现出由低到高再到低的变化趋势,空间变异系数在场地的中部、西北及西南较高,其他区域变异系数较低.     

固定化微生物对多环芳烃污染土壤的降解

利用微生物固定化技术,研究了微生物固定化菌剂对土壤中菲、蒽、芘、(艹屈)和苯并(a)芘的降解动态,并且采用Michaelis-Menton和Monod动力学模型对结果进行拟合.结果显示,4种处理(TB02、TB07、TBB03、TBB08)均有降解菲、蒽、芘、(艹屈)和苯并(a)芘的能力.其中,处理TB02的降解能力强、降解速率快、半衰期短且处理成本低,而处理TB07则需要较长时间作用于PAHs污染土壤,其降解能力才能充分发挥出来.当菲、蒽、芘、(艹屈)和苯并(a)芘的初始浓度均为20 mg·kg-1时,42 d后,TB02对菲、蒽、芘、(艹屈)和苯并(a)芘的降解率分别为84.32%、85.24%、82.59%、43.75%和62.25%; 133 d后,TB07对5种污染物的降解率分别为95.00%、95.24%、90.93%、74.82%和72.20%.通过比较5种污染物半衰期,其可降解性由大到小依次为菲、蒽、芘、苯并(a)芘、(艹屈).     

沈阳市城郊土壤有机污染特征

对沈阳市城郊土壤中35种有机污染物进行了检测,分析了土壤有机污染检出特征和空间分布特征.沈阳市城郊土壤共检出了15种有机污染物;苯并(a)芘、六氯苯、滴滴涕和六六六的变异系数均大于l,其污染物浓度局部富集程度高,含量起伏变化大,土壤有机污染呈现“一多三少”的现象,即全区检出有机污染物的采样点多,检出的有机污染物种类较少,有机污染物含量少,且无超标点.受土壤包气带岩性影响,城郊土壤垂向上有机污染规律明显.土壤区域有机污染分布特征与城市土地利用功能一致性较高.分析了各类有机污染物含量和分布特征的主要影响因素,对防治城市土壤污染,进而保障居民的食品安全和饮水安全具有重要意义.     

糙皮侧耳和鞘脂菌NS7对多环芳烃污染土壤的生物强化与协同作用

【背景】真菌和细菌被认为在多环芳烃污染土壤生物修复过程中发挥协同作用,目前在真实土壤体系中开展真菌-细菌协同降解研究较少。【目的】研究真菌和细菌对不同种类多环芳烃降解的差异及对蒽和苯并[a]蒽的生物强化与协同作用。【方法】选用多环芳烃降解真菌和细菌各一株,在液体纯培养体系下分析它们对不同种类多环芳烃降解的差异,在土壤体系中采用放射性同位素示踪技术研究2种微生物对蒽和苯并[a]蒽的生物强化与协同作用。【结果】供试细菌鞘脂菌NS7能够很好地降解低环种类多环芳烃,以蒽作为唯一碳源时可以将其完全降解,在复合污染条件下对菲、蒽、荧蒽、芘等降解效果突出(>90%),对苯并[a]芘降解效果较差(9.76%)。相比而言,供试真菌糙皮侧耳菌对苯并[a]芘具有更好的降解效果(21.18%),对低环多环芳烃降解效果明显不如降解菌NS7。在自然土壤中,蒽和苯并[a]蒽具有明显不同的矿化效率,分别为18.61%和4.28%,在蒽污染土壤中加入鞘脂菌NS7并未显著提高蒽的矿化率(P>0.05),相比而言,苯并[a]蒽污染土壤中加入糙皮侧耳显著提高了污染物矿化效率(2.24倍),表明真菌和细菌在土壤环境...     

植物法生物修复PAHs和矿物油污染土壤的调控研究

选择苜蓿草为供试植物,以污染物含量水平、专性细菌和真菌及有机肥为调控因子,进行了植物法生物修复多环芳烃(PAHs)和矿物油污染土壤的调控研究。结果表明,PAHs和矿物油的降解率与有机肥含量呈正相关,增加有机肥5%,可提高矿物油降解率17.6%～25.6%,PAHs降解率9%.在植物存在条件下,土壤微生物降解功能增强。多环芳烃总量的平均降解率比无植物对照土壤提高2.0%～4.7%.投加特性降解真菌可不同程度地提高土壤PAHs总量和矿物油的降解率。真菌对萤蒽、芘和苯(a)蒽/(艹屈)的降解有明显促进作用。而细菌能明显提高苊稀/芴、蒽和苯(a)萤蒽/苯(k)萤蒽的降解率。     

固定化引进菌降解土壤中芘和苯并(a)芘的效果比较

将引进菌用于有机污染土壤中芘和苯并(a)芘的生物修复,目的是使引进菌在环境工程中的利用成为可能.通过对引进的3株细菌进行固定化包埋,研究了它们对土壤中芘和苯并(a)芘的降解效果.结果表明,引进菌驯化固定后,无论是单株菌还是混合菌对污染物的降解都明显高于游离菌,与土著固定菌相比,部分引进菌具有一定的优势.通过不同时间采样点的对比分析可以看出,引进菌混合固定后对污染物的降解效果相对较好,在96 h时B61B67对芘和苯并(a)芘的降解率分别为43.49%和38.55%.     

一株高分子量多环芳烃降解菌的筛选、鉴定及降解特性研究

采用富集培养方法从多环芳烃污染土壤中筛选分离得到1株能以苯并[a]芘(B[a]P)为唯一碳源和能源生长的菌株.形态特征观察和16S rDNA序列分析结果表明,该菌株为副球菌属(Paracoccus sp.),编号为HPD-2.HPD-2在3.0 mg/L的B[a]P液体培养基中生长较慢,培养5 d后B[a]P的降解率为89.7%.同时,该菌株对四环的芘和荧蒽也具有较好的降解能力,培养7 d后芘和荧蒽的降解率分别达到47.2%和84.5%.可见,该菌株对高分子量PAHs具有很好的降解潜力.     

一株可同时降解多种高环PAHs的丝状真菌——宛氏拟青霉(Paecilomyces variotii)

采用液体培养的方法,分离纯化了丝状真菌宛氏拟青霉(Paecilomyces variotii)并研究了其对苯并[a]蒽、苯并[a]芘、苯并[b]荧蒽、苯并[k]荧蒽、茚并[1,2,3-cd]芘的降解效果.结果表明:接种处理30 d,该菌株对混合体系中5种PAHs的降解率为16.1%～24.6%,而对单一体系中的降解率为10.4%～33.3%;同时,对单一与混合体系中PAHs的降解作用存在一定差异,苯并[k]荧蒽和苯并[b]荧蒽在单一体系中降解率增大,而其他种类的则减小.本研究结果为高环多环芳烃共代谢机理研究和多环芳烃复合污染水土环境的生物修复提供了一种新的种质资源.     

长江口南支表层沉积物中多环芳烃分布特征及生态风险

2008年5月和8月先后2次采集长江口南支表层沉积物样品,采用高效液相色谱进行多环芳烃测定,研究其分布、来源与生态风险。结果表明:长江口南支表层沉积物中PAHs总量在8.9~312.2ng.g-1;PAHs组成以芘、菲、苯并[b]荧蒽、苯并[a]蒽、苯并[a]芘为主,各站芘的含量均最高,本研究PAHs总含量与长江口、黄河口和鸭绿江口近期的调查数据相近,但明显低于珠江口和闽江口数据,以及长江口潮滩沉积物中PAHs数据;PAHs环数组成以中、高环为主,表明长江口南支PAHs主要来源于相对高温条件下不完全燃烧过程。采用平均效应中值商法评价长江口南支PAHs生态风险结果表明,调查区域PAHs产生生态风险的概率较小(<10%)。     

油田区多环芳烃污染盐碱土壤活性微生物群落结构解析

多环芳烃(Polycyclic aromatic hydrocarbons,PAHs)是土壤中广泛存在的、美国环保总署(USEPA)优先控制的一类有毒(致癌、致突变)的持久性污染物,主要来源于人类活动。土壤微生物多样性是表征土壤质量变化的敏感指标之一。磷脂脂肪酸(PLFAs)分析方法是基于活性微生物细胞膜的PLFAs组分的生化检测技术,克服了传统培养方法只能分离出少量微生物(1%)的缺点。采用PLFAs方法,解析了土壤活性微生物对PAHs污染胁迫的反应。结果表明,土壤微生物分布情况可分为4种类型:Ⅰ型,微生物PLFAs种类最多,占该区土壤微生物PLFAs种类总数的57.7%,PAHs对变量的解释量最小;Ⅱ型,微生物PLFAs占PLFAs总数的30.8%,PAHs对变量的解释量较小;Ⅲ型,微生物PLFAs种类占总数的7.68%,PAHs对变量的解释量较大;Ⅳ型,微生物PLFAs的种类仅占总数的3.85%,PAHs对变量的解释量最大。相关性分析表明:土壤微生物PLFAs的种类、生物量和生态多样性指数与土壤中萘(Nap)、芴(Flu)、蒽(Ant)、苯并[K]荧蒽(Bkf)、苯并[a]芘(Bap)、茚并[1,2,3-cd]芘(Ind)的相对含量呈负相关关系;与苊(Ace)、菲(Phe)、荧蒽(Fla)、芘(Pyr)、苯并[a]蒽(Baa)的相对含量呈正相关关系;与PAHs的种类和浓度呈负相关关系。结果将为开展PAHs污染土壤的生态风险评价和微生物生物修复技术研究提供理论依据。     

Determination of major pollutant and biogeochemical processes in an oil-contaminated aquifer using human health risk assessment and multivariate statistical analysis

Techniques for monitored natural attenuation usually produce large complex datasets that are difficult to interpret. Here, human health risk assessments and multivariate statistical analyses are combined to extract and analyze useful information from large monitoring datasets to identify the main pollutants in a petroleum-contaminated aquifer in northeast China and the main biogeochemical processes affecting the pollutants. The data included organic and inorganic geochemical species concentrations, physicochemical indicators, C and S stable isotope data collected for four years of more than 10 monitoring. The health risk assessment indicated that benzene was a representative pollutant. Cluster analysis classified the groundwater samples into two groups and indicated strong biodegradation occurred near the core and upgradient of the petroleum hydrocarbon plume. The factors explaining most variability were extracted by principal component analysis, which correlated with biodegradation and mineral dissolution processes. The factor scores and spatial distributions of hydrogeochemical and isotope indicators confirmed that biodegradation effects weakened and mineral dissolution strengthened upgradient to downgradient of the contaminated plume. The analysis method could be useful for rapidly studying pollution characteristics and identifying biodegradation processes in contaminated aquifersfrom large complex datasets. The results will provide a basis for developing an enhanced bioremediation scheme for the study site.     

Source Analysis and Risk Assessment of Polycyclic Aromatic Hydrocarbons (PAHs) in Paddy Soils

Polycyclic aromatic hydrocarbons (PAHs) are typically persistent organic pollutants with hypertoxicity and widespreading, attracting increasing attention in recent years. Six paddy land sites soils irrigated from different rivers in the Nansi Lake area of Shandong Province, China, were studied to analyze and assess the source and risk of PAHs.Analysis revealed total PAHs (TPAHs) concentrations in topsoil ranging from 57.49 to 2046.47 μg kg^?1, meanwhile, Weishan County (WS) was highly contaminated primarily from coal combustion based on the Nemerow composite index and geochemical indices.Canonical correspondence analysis (CCA) suggested that bacterial species were affected by pH, TPAHs, and soil organic matter (SOM), while covariables analysis confirmed that most effects of PAHs on bacterial diversity were attributed to the PAHs effect alone rather than the combined effects of PAHs and soil properties. The average daily human exposure (ADE) in children was approximately 2 times higher than that in adults, and the exposure paths values followed a decreasing order, oral intake > skin contact > inhalation. Furthermore, the WS site and another rice test field (TF) presented potential cancer risks and required further investigation. Therefore, the study has important theoretical significance for the control of PAHs pollution in this field, providing a scientific basis for health assessment.     

Effects of oil shale waste disposal on soil and water quality: hydrogeochemical aspects

Abstract

Environmental pollution from solid waste landfillings (SWLs) is of major concern to both the environmentalists and to individual citizens. The necessity for studying on contaminant generation and control is becoming more urgent in view of the risks associated with such sites.

An oil shale tailing at Maoming, South China, was chosen as our study case. Soil samples, water samples and oil shale tailings were collected from the site and analyzed for their compositions. The analytical results revealed that the soil and groundwater were contaminated to various degrees by several chemicals or pollutants from the oil shale tailings. The major environmental problems associated with the site were acidification of soil and groundwater, high content of heavy metals and sulfate in soil and groundwater and organic contamination of soil, in particular, finding of carcinogenous benzo[a] pyrene other PAHs.

Statistical and geochemical methods were applied to reveal the sources of contaminants. Soil and groundwater contamination were correlated obviously with the oil shale waste disposal. The nearer the sampling sites to the tailing, the heavier the soil and groundwater were contaminated. The different water samples composition had same chemical characteristics. The soil and water samples were analyzed for 16 PAHs (USEPA priority pollutants). It indicated that PAHs were retained mostly in the soil, which consisted of mainly naphthalene, fluorene, phenanthrene and anthracene. Analysis for PAHs source revealed that they were also from the oil shale tailing.     

Determination of Polycyclic Aromatic Hydrocarbons and Trace Metals in New Orleans Soils and Sediments

Soil and sediment samples from New Orleans have been collected and analyzed for contamination by 16 polycyclic aromatic hydrocarbons (PAHs) and 8 trace metals. Total PAH contents were found to vary from 40 μ g/kg to 40,000 μ g/kg, and concentrations of total metals varied in the range of 80 mg/kg and 7600 mg/kg. Source analysis of PAHs using diagnostic concentration ratios such as phenanthrene/anthracene and fluoranthene/ pyrene indicated that PAHs found at elevated concentrations in New Orleans soils and sediments were of pyrolytic origins. Spearman rank bivariate correlation analysis revealed significant correlations between soil PAHs and metals (r = 0.80, p < 0.0001) and between sediment PAHs and metals (r = 0.62, p < 0.05), suggesting common pollution sources for the two groups of environmental pollutants. Strong correlations were also found between Pb and Zn in soils (r = 0.93, p < 0.0001) as well as in sediments (r = 0.65, p < 0.05).     

PLFA Analyses of Microbial Communities Associated with PAH-Contaminated Riverbank Sediment

Sediment contaminated with polycyclic aromatic hydrocarbons (PAHs) is widely distributed in aquatic ecosystems. The microbial community structure of riverbank PAH-contaminated sediments was investigated using phospholipid-derived fatty acid (PLFA) analysis. Surface and subsurface riverbank sediment was collected from a highly contaminated site and from an uncontaminated site along the Mahoning River, OH. PAH concentrations, physical sediment characteristics, and other microbial community parameters (biomass as phospholipid phosphate (PLP) and activity) were also measured. PAHs were detected in all samples but were only quantifiable in the contaminated (250?μg/g?g(-1)) subsurface sediment. Subsurface samples from both locations showed very similar PLP values and distribution of PLFAs, with 27-37?% of the microbial community structure being composed of sulfate reducing and other anaerobic bacteria. Principal components analysis indicated no correlation between PAH contamination and PLFA diversity. Although PLP and phospholipid fatty acid measurements of bacterial communities did not reflect the environmental differences among sites, the highly PAH-contaminated sediment showed the highest measured microbial activity (reduction of 1,200?nmol?INT?g(-1)?h(-1)), likely from a population adapted to environmental pollutants, rates that are much higher than measured in many uncontaminated soil and sediment systems. These data warrant further investigation into community structure at the genetic level and indicate potential for bioremediation by indigenous microbes.     

Source apportionment and risk assessment of PAHs in Brisbane River sediment,Australia

Sediment samples collected over a 3-year period from Brisbane River, Australia, were analysed for fifteen (15) polycyclic aromatic hydrocarbons (PAHs). The total PAH concentrations varied from 148 to 3079 ng/g with a mean concentration of 849 ± 646 ng/g. The study revealed that PAH input into the river was primarily dominated by pyrogenic sources as evidenced by the predominance of the high molecular weight (HMW) PAHs. Temporal variations of PAHs can be linked to the level of urbanization, with continuous input of combustion related PAHs in the commercial area of the river. Inherent deficiencies in using a single source identification/apportionment approach were overcome by using diagnostic ratios, principal component analysis/absolute principal component scores (PCA/APCS) and positive matrix factorization (PMF). Both, PCA/APCS and PMF resolved four (4) identical factors or sources of PAHs, namely: gasoline emissions, diesel emissions, biomass burning and natural gas combustion. Diagnostic ratios, PCA/APCS and PMF analysis indicated that vehicular emissions were the principal sources especially within the lower section of the river while biomass burning had moderate contribution. The distribution, temporal trend and source apportionment suggest the containment of industrial-derived sources of PAHs in the river. From an ecological point of view, the risk posed by PAHs in the Brisbane River sediment appears to be low. Nevertheless, when the investigated sites were ranked using multi-criteria decision making methods(MCDM) the commercial stratum was the most contaminated. Assessment of potential risks posed by incidental dermal exposure to PAHs revealed some degree of cancer risk, especially to children.     

The pink shrimp Farfantepenaeus duorarum, its symbionts and helminths as bioindicators of chemical pollution in Campeche Sound, Mexico

The pink shrimp Farfantepenaeus duorarum may acquire pollutants, helminths and symbionts from their environment. Statistical associations were studied between the symbionts and helminths of F. duorarum and pollutants in sediments, water and shrimps in Campeche Sound, Mexico. The study area spatially overlapped between offshore oil platforms and natural shrimp mating grounds. Spatial autocorrelation of data was controlled with spatial analysis using distance indices (SADIE) which identifies parasite or pollutant patches (high levels) and gaps (low levels), expressing them as clustering indices compared at each point to produce a measure of spatial association. Symbionts included the peritrich ciliates Epistylis sp. and Zoothamnium penaei and all symbionts were pooled. Helminths included Hysterothylacium sp., Opecoeloides fimbriatus, Prochristianella penaei and an unidentified cestode. Thirty-five pollutants were identified, including polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs), pesticides and heavy metals. The PAHs (2-3 ring) in water, unresolved complex mixture (UCM), Ni and V in sediments, and Zn, Cr and heptachlor in shrimps were significantly clustered. The remaining pollutants were randomly distributed in the study area. Juvenile shrimps acquired pesticides, PAHs (2-3 rings) and Zn, while adults acquired PAHs (4-5 rings), Cu and V. Results suggest natural PAH spillovers, and continental runoff of dichlorodiphenyltrichloroethane (DDT), PCBs and PAHs (2-3 ring). There were no significant associations between pollutants and helminths. However, there were significant negative associations of pesticides, UCM and PCBs with symbiont numbers after controlling shrimp size and spatial autocorrelation. Shrimps and their symbionts appear to be promising bioindicators of organic chemical pollution in Campeche Sound.     

Contribution of Priority PAHs and POPs to Ah Receptor-Mediated Activities in Sediment Samples from the River Elbe Estuary,Germany

The estuary of the River Elbe between Hamburg and the North Sea (Germany) is a sink for contaminated sediment and suspended particulate matter (SPM). One major concern is the effect of human activities on the hydrodynamics, particularly the intensive dredging activities in this area that may result in remobilization of sediment-bound pollutants. The aim of this study was to identify pollutants contributing to the toxicological risk associated with re-suspension of sediments in the Elbe Estuary by use of an effect-directed analysis that combines chemical and biological analyses in with specific fractionation techniques.Sediments were collected from sites along the Elbe Estuary and a site from a small harbor basin of the Elbe Estuary that is known to be polluted. The sixteen priority EPA-PAHs were quantified in organic extracts of sediments. In addition, dioxin equivalents of sediments were investigated by use of the 7-ethoxyresorufin O-deethylase assay with RTL-W1 cells and the Ah receptor-mediated luciferase transactivation assay with H4IIE-luc cells.Quantification of the 16 priority PAHs revealed that sediments were moderately contaminated at all of the sites in the Elbe River Estuary (<0.02–0.906 µg/g dw). Sediments contained relatively small concentrations of dioxin equivalents (Bio-TEQ) with concentrations ranging from 15.5 to 322 pg/g dw, which were significantly correlated with dioxin equivalents calculated based on toxicity reference values and concentrations of PAH. The concentration of Bio-TEQ at the reference site exceeded 200,000 pg/g dw. In a potency balance the 16 PAHs explained between 47 and 118% of the Bio-TEQ in the luciferase assay, which can be explained by the constant input of PAHs bound to SPM from the upper course of the Elbe River into its estuary. Successful identification of a significant portion of dioxin-like activity to priority PAHs in complex environmental samples such as sediments has rarely been reported.     

某焦化场地土壤中多环芳烃分布的三维空间插值研究

为准确界定污染场地土壤中多环芳烃在3维条件下的污染分布范围和受污染土方量,选择我国某焦化污染场地苯并(a)芘分布为研究对象,对比研究Krig-3D、IDW-Shepard、IDW-(Franke/Nielson)以及Nearest Neighbor 4种3维插值方法对界定污染范围的不确定性影响。结果表明,不同3维插值模型计算结果差异较大,交叉验证结果显示Krig-3D插值模型插值精度最高,插值结果能较真实地反映场地实际污染情况。通过修复目标对比确定进一步表明,基于4种插值模型计算所得的污染土壤土方量分别为8.51×105、5.62×105、7.12×105、1.09×106m3,选择合理的插值模型将对预测污染范围的不确定性产生重要影响。研究结果对分析污染范围和修复治理过程土方量确定提供重要参考。     

Polycyclic Aromatic Hydrocarbons (PAHs) Pollution in Agricultural Soil in Tianjin,China

Representative soil samples (n = 60) collected from suburban agricultural land in Tianjin were analyzed to determine 16 PAHs in this study. Accelerated solvent extraction, GPC (Gel Permeation Chromatography), and SPE (Solid Phase Extraction) clean-up procedures were employed for PAH preparation prior to analysis with gas chromatography–mass spectrometry. The concentrations of the total PAHs (T-PAHs) ranged from 228.6 ng/g to 14722.1 ng/g with the mean value of 613.1 ng/g. Bap concentrations in many sites exceeded the suggested standards. Spatial variation of PAHs in soil was illustrated; the pollution status and comparison to other cities were also investigated. Severe PAH soil pollution was observed in some sites near urban areas. Higher PAH concentrations were detected at the downwind side of the urban areas, indicating the influence of human activities. Two indicative ratios (Fl/(Fl+Pyr, Baa/(Baa+Chr)) and principal component analysis were used to identify the possible sources of PAHs. These suggested that coal combustion was still the most important source of PAHs in Tianjin, which coincided well with the previous studies. These data can be further used to assess the health risk associated with soils polluted by PAHs and can help local government find proper ways to reduce PAHs’ pollution in soils.