用于环境风险评价的大连湾溢油预测模型

基于POM建立了M2分潮的大连湾海域三维潮流场动力模式。利用此动力模式,以"油粒子"模型来模拟溢油在大连湾中的漂移扩散过程。通过欧拉-拉格朗日法,将油膜中心的轨迹和各个时刻的油膜分布情况可视化。溢油预测模型综合考虑了三维流场、湍流、风导输移和波浪破等环境因素对海上溢油行为的影响,考虑了蒸发和乳化过程,预测了溢油的归宿。本模型旨在为大连湾海上溢油风险评价提供信息。     

水上事故溢油运动轨迹与环境归宿预测模型的研究进展

以事故溢油在水面上的运动轨迹和环境归宿为研究对象,重点对溢油水下分散过程、岸边黏附及受水流冲刷下油膜质量衰减过程、水体悬浮物对石油黏附/吸附量的预测模型研究成果,以及目前日益受到关注的河流溢油模型的研究进展进行归纳总结。对比分析了不同预测模型结构功能差异和适用性问题,为不同环境条件下溢油事故的后预警、后预测提供模型选择依据和技术支持。最后就溢油模型尚存的一些问题及未来发展的方向进行了探讨。     

环境样品中多氯联苯分析的新进展

综述了环境中多氯联苯（ＰＣＢｓ）分析方法的新进展，阐述液液，液固萃取，精制富集待测物，色谱，色／质鉴定，对多维气相色谱改进ＰＣＢｓ分离，色谱／富里叶红外，保留指数区分ＰＣＢｓ异构件进行讨论。     

水中微量五氯酚的气相色谱法测定

提出ＧＣ－ＦＣＤ分析方法测定水中微量五氯酚残留量。水样经萃取分离、衍生后，采用石油醚提取醋酸五氯酚酯，然后进入色谱柱，柱内填充２％ＯＶ－１７＋２％ＱＦ－１／ＣｈｒｏｍｏｓｏｒｂＷ－ＨＰ（８０～１００目），柱温２００℃，Ｎ＿２流量８０ｍＬ／ｍｉｎ，五氯酚酯３ｍｉｎ内出峰，最低检测浓度为０．１μｇ／Ｌ，各种样品回收率均在９０％以上，样品测试结果满意，可用于多种水体中微量ＰＣＰ残留量的测定。     

一种便携式荧光测油仪在海上溢油应急监测中的适用性研究

研究了一种便携式荧光测油仪在海上溢油应急监测中的适用性,并与现行仲裁标准方法进行比较分析。研究表明:该便携式荧光测油仪测定海水中油类样品仅需100 mL水样,平均每个样品所需的前处理时间约340 s,方法检出限为0.003 mg/L,测定下限为0.012 mg/L。测定用标准物质配制的不同浓度海水样品,相对标准偏差为0.08%~0.87%,测定标准样品的相对误差为0.49%~4.50%,实际样品加标回收率为90%~107%。对标准物质配制的海水样品进行检测,与现行仲裁标准方法在0.05水平下无显著性差异。在渤海中部海上监测中,连续6 d测定不同标准样品的相对标准偏差为0.26%~0.83%。研究结果表明,该便携式荧光测油仪适用于现场对油类的定量分析和水质评价。     

荧光光谱法鉴别江面及船舶舱底水中的污油

叙述了用荧光光谱法鉴别污油油种的实验条件和方法,根据可疑船舶舱底水污油和江面溢油的“油指纹”荧光光谱图,提供确定排污油船只的依据。     

气相色谱法测定废水中的7种低分子量醛,酮和醇

用液上空间气相色谱ＦＩＤ检测器，同时测定了废水中的甲醇、乙醛、乙醇、丙酮、异丙醇、甲醛和正丁醇等７种低分子量挥发性有机物，色谱柱为ＧＤＸ－１０１与ＰＥＧ－２０Ｍ串联填充柱，能较好地分离上述７种化合物，方法的精密度和准确度均可达到环境监测质量要求，最低检出质量浓度均低于０．０６０ｍｇ／Ｌ。     

水和废水中酞酸酯类化合物气相色谱分析方法研究

本文采用定容萃取气相色谱法测定水和废水中酞酸酯类化合物，对不同的色谱柱、检测器、萃取溶剂、盐浓度和干扰等因素进行比较。本方法简便、准确，本方法检出限为１０～６０ｍｇ／Ｌ，相对标准偏差小于５６％，线性范围：ＧＣＥＣＤ为１０１０００μｇ／Ｌ，ＧＣＦＩＤ为１０μｇ／Ｌ１０ｍｇ／Ｌ。     

气相色谱／质谱（GC／MS）联机分析工业废水中的有机物

简要介绍了美国ＥＰＡ６００系列分析方法中有关气相色谱／质谱（ＧＣ／ＭＳ）联机分析方法和系统分析方法，综述了气相色谱／质谱联机系统在监测分析工业废水及城市排水中有机污染物方面取得的一些重要成果。这些成果包括酚类、有机硫化合物、有机酸、有机磷农药、苯系物、多组分有机污染物的分析测定。     

水质二乙烯三胺的测定一气相色谱法

本文介绍了用甲醛－硼氢化钠系统衍生水小二乙烯三肢的衍生化气相色谱测定方法。测定条件：ＴＳＤ检测器，２６０℃；色谱柱：ＰＴ２８％ＡＴ２２３＋４％ＫＯＨ涂在ＧａｓＣｈｒｏｍＲ８０～１００目。１．４ｍ×３ｍｍ。线性范围：２．５～２０ｍｇ／Ｌ。回收率：９２～１０７％。相对标准偏差；９％。     

Effects of an Oil Spill on Soil Physico-Chemical Properties of a Spill Site in a Typic Udipsamment of the Niger Delta Basin of Nigeria

Physico-chemical analysis of soil samples at an oil spill site in a Typic Udipsamment of the Niger Delta Basin of Nigeria showed that the total hydrocarbon content of top soil layers ranged from 18.6 to 23.6 ppm in the heavy impact zone and the oil had penetrated to a depth op 8.4 m. The concentration of hydrocarbons in the medium impact zone ranged from 10.04 to 10.38 ppm while hydrocarbons were not detected in 85% of samples from the unimpacted reference zone. Heavy metal concentration measurements in the soil revealed a significant build-up (P < 0.05) of lead, copper and zinc in the heavy impact zone. Other quality parameters including electrical conductity, exchangeable cations, total nitrogen and available phosphorus in impacted soils were relatively low, while the total organic carbon was high compared with the reference site. Textural class of soil from the different depths showed a predominantly brown sand at the topsoil, loamy sand and grey coarse sand at medium depths, and grey coarse sand and greyish sandy clay at greater depths.     

Extractable Hydrocarbons, Nickel and Vanadium Contents of Ogbodo-Isiokpo Oil Spill Polluted Soils in Niger Delta, Nigeria

An oil spill polluted site at Ogbodo-Isiokpo in Ikwere Local Government Area of Rivers State in southern Nigeria, was identified for study following three successive reconnaissance surveys of oil fields in the Agbada west plain of Eastern Niger Delta. A sampling area of 200 m × 200 m was delimited at the oil spill impacted site using the grid technique and soils were collected at surface (0–15 cm) and subsurface (15–30 cm) depths from three replicate quadrats. A geographically similar, unaffected area, located 50 m adjacent to the polluted site, was chosen as a control (reference) site. Total extractable hydrocarbon contents of the polluted soils ranged from 3.02–4.54 and 1.60–4.20 mg/kg (no overlap in standard errors) at surface and subsurface depths respectively. The concentrations of two “diagnostic” trace heavy metals, nickel (Ni) and vanadium (V), which are normal constituents of crude oil, were also determined in the soils by atomic absorption spectrophotometric method after pre-extraction of cations with dithionite–citrate carbonate. Ni varied from 0.15 to 1.65 mg/kg in the polluted plots and from 0.18 to 0.82 mg/kg in the unpolluted plots; vanadium varied from 0.19 to 0.70 mg/kg in the polluted plots and from 0.14 to 0.38 mg/kg in the unpolluted plots. Ni and V were more enhanced (p < 0.05) in the oil-polluted soils, especially at subsurface depth. Whilst the oil spillage could be said to be indirectly responsible for the enhanced concentrations of nickel and vanadium via the injection and availability of the petroleum hydrocarbons that might have increased the activities of biodegradation on site, the physico-chemical properties of the soils and inherent mobility of metals, as well as the intense rainfall and flooding that characterized the period of study, may have also contributed, at least in part, to these enhanced concentrations. Such levels of Ni and V may result to enhanced absorption by plants, which may bring about possible bioaccumulation in such plants and the animals that depend on them for survival and all of these may lead to toxic reactions along the food chain.     

Forensic fingerprinting and source identification of the 2009 Sarnia (Ontario) oil spill

This paper presents a case study in which integrated forensic oil fingerprinting and data interpretation techniques were used to characterize the chemical compositions and determine the source of the 2009 Sarnia (Ontario) oil spill incident. The diagnostic fingerprinting techniques include determination of hydrocarbon groups and semi-quantitative product-type screening via gas chromatography (GC), analysis of oil-characteristic biomarkers and the extended suite of parent and alkylated PAH (polycyclic aromatic hydrocarbon) homologous series via gas chromatography-mass spectrometry (GC-MS), determination and comparison of a variety of diagnostic ratios of "source-specific marker" compounds, and determination of the weathering degree of the spilled oil, and whether the spilled oil hydrocarbons have been mixed with any other "background" chemicals (biogenic and/or pyrogenic hydrocarbons). The detailed chemical fingerprinting data and results reveal the following: (1) all four samples are mixtures of diesel and lubricating oil with varying percentages of diesel to lube oil. Both samples 1460 and 1462 are majority diesel-range oil mixed with a smaller portion of lube oil. Sample 1461 contains slightly less diesel-range oil. Sample 1463 is majority lubricating-range oil. (2) The diesel in the four diesel/lube oil mixture samples was most likely the same diesel and from the same source. (3) The spill sample 1460 and the suspected-source sample 1462 have nearly identical concentrations and distribution patterns of target analytes including TPHs, n-alkane, PAHs and biomarker compounds; and have nearly identical diagnostic ratios of target compounds as well. Furthermore, a perfect "positive match" correlation line (with all normalized ratio data points falling into the straight correlation line) is clearly demonstrated. It is concluded that the spill oil water sample 1460 (#1, from the water around the vessel enclosed by a boom) matches with the suspected source sample 1462 (#3, from the vessel engine room bilge pump). (4) From the n-alkane and PAH analysis, it appears that the oil in the spill sample 1460 is slightly more weathered in comparison with sample 1462. The minor differences in fingerprints of two samples were most likely caused by weathering effects. (5) Sample 1461 (#2, from the vessel engine room bilge) and sample 1463 (#4, from the vessel bilge waste collection tank) demonstrated significantly different fingerprints and diagnostic ratios of target compounds from that of spill sample 1460. This was caused most likely by percentages of diesel to lube oil in these two samples different from that in spill sample 1460.     

Screening level modeling of long-term impact of petroleum hydrocarbon contamination on fresh groundwater lenses in the Arabian Gulf region

The Gulf War in 1991 created an environmental catastrophe, one of the major consequences of which was setting several oil wells on fire in the Arabian Gulf area. The total oil spilled as a result of the damaged wells was about 3.5 × 10⁶ m³. Out of these, 3.3 × 10⁶ m³ of oil was recovered and exported. The rest was left behind as it was not economical to collect. The oil left behind was subject to severe weathering over the past ten years. Soil and subsurface contamination pose a serious risk to the quality of the already scarce fresh groundwater resources in the area which was subject to oil spill in the study region. This paper presents the computer modeling activities carried out towards simulating the transport of the hydrocarbon contamination of the fresh groundwater resources at a study area in the Arabian Gulf region, and predicting the contamination levels at the fresh groundwater lenses in the area in the future, should current contamination levels persist in the soil and groundwater. The modeling activities relied on both semi-analytical and numerical flow and transport models.     

Direct and Adjoint Oil Spill Estimates

Propagation of the oil spilling from a damaged oil tanker is considered in a limited sea area. The accident consequences are evaluated by means of direct and adjoint oil concentration estimates in ecologically sensitive zones. While the direct estimates are preferable to get a comprehensive idea of the oil spill impact on the whole area, the adjoint ones are useful and economical in studying the sensitivity of the oil concentration in some zones to variations in the accident site and oil spill rate from the tanker. Thanks to special boundary conditions set at the inflow and outflow parts of the open boundary, the main and adjoint oil transport problems are both well-posed according to Hadamard (1923). The estimates obtained in Skiba (1996a) are generalized to the three dimensions. Balanced, absolutely stable 2nd-order finite-difference schemes based on the splitting method are constructed for the two- and three-dimensional cases, both. The main and adjoint schemes are compatible in the sense that at every fractional step of the splitting algorithm, the one-dimensional split operators of both the schemes satisfy a discrete form of the Lagrange identity (Marchuk, 1995). In the special unforced and non-dissipative case, the schemes have two conservation laws each. Each split problem is solved by the factorization method.     

Monitoring and assessment of toxic metals in Gulf War oil spill contaminated soil using laser-induced breakdown spectroscopy

Laser-induced breakdown spectroscopy (LIBS) was applied for the detection of toxic metals in oil spill contaminated soil (OSCS). The OSCS samples were collected from Khursania Saudi Arabia along the coast of Persian Gulf exposed to oil spills in 1991 Gulf war. Environmentally important elements like Aluminum Magnesium, Calcium, Chromium, Titanium, Strontium, Iron, Barium, Sodium, potassium, Zirconium and Vanadium from the contaminated soil have been detected. Optimal experimental conditions for analysis were investigated. The LIBS system was calibrated using standard samples containing these trace elements. The results obtained using Laser-Induced Breakdown Spectroscopy (LIBS) were compared with the results obtained using Inductively Coupled Plasma Emission Spectroscopy (ICP). The concentrations of some elements (Ba and Cr) were found higher than permissible safe limits. Health risks associated with exposure to such toxic elements are also discussed.     

The Fate in the Marine Environment of a Minor Diesel Fuel Spill from an Antarctic Research Station

Monitoring was undertaken of the fate in the marine environment of an accidental spill of diesel fuel (1000 litres) from Faraday Research Station, Galindez Island, Antarctica in March 1992. On the day after the incident concentrations in seawater reached a maximum of 540 µg 1-1 for n-alkanes and 222 µg 1-1 for polycyclic aromatic hydrocarbons (PAH). However, concentrations returned to local background levels within one week. The fuel had an immediate toxic effect on intertidal limpets in the local station area, and 100 animals were found dead the day after the spill. Surviving animals had elevated concentrations of both n-alkanes and PAH for over a month after the spill, reaching a maximum of 9960 µg kg-1 for n-alkanes and 90 µg kg-1 for PAH 30 days after the spill occurred. This was the result of accumulation from a residue of the diesel being flushed by rainwater into the littoral zone. Seven months after the spill concentrations of both n-alkanes and PAH in limpets living close to the station were still an order of magnitude greater than those found in animals at an uncontaminated control site. This is because limpets living in the littoral zone were continually exposed to chronic but low-level hydrocarbon contamination from station activities. The diesel spill itself had a very minor, localised and short-term impact on the Antarctic marine environment.     

Performance evaluation of oil spill software systems in early fate and trajectory of oil spill: comparison analysis of OILMAP and PISCES 2 in Mersin bay spill

The aim of this study is to evaluate the performance level of two advanced oil spill software systems in early transport and fate of oil spill through algorithms accepted in oil spill literature. To do this, the performance level of software systems mostly used in real cases have been compared. OILMAP (the oil spill prediction modeling system) and PISCES 2 (potential incident simulation, control and evaluation system) have been used for spill trajectory in the light of four spill scenarios. The findings reveal that the OILMAP has predicted a relatively larger area of spill. In addition, OILMAP has achieved closer results to the calculations of approaches adopted in the literature for evaporation calculations. Besides, OILMAP software has provided highly reliable results in the evaporation rates of oil compared to the calculations of PISCES 2. On the other hand, as for the determination of the risky area, both software systems have yielded results with high reliability values, which could be used in taking precautions against oil spill in such areas.