溶解性有机碳对微库仑法测定水中可吸附有机卤素的影响

微库仑法测水样中可吸附有机卤素(AOX)受多种因素影响,其中溶解性有机碳(DOC)的影响非常显著。DOC对微库仑法2种前处理方法(双柱法和振荡法)的影响差异很大。双柱法受DOC影响较小,当DOC浓度小于1 000 mg/L时,AOX加标回收率范围为94.0%~104%。振荡法受DOC影响较明显,随着DOC浓度的升高,AOX回收率持续下降,当DOC浓度达到1 000 mg/L时,AOX加标回收率下降至72.1%,但DOC浓度小于100 mg/L时,AOX加标回收满足方法要求。进一步研究发现,DOC对振荡法的影响主要由于竞争吸附降低了活性炭对AOX的吸附容量,而非吸附速率,虽然增大活性炭用量可在一定程度上减小DOC对AOX测定的影响,但对样品进行稀释是减少DOC影响的最简单高效的办法。同时,DOC对不同类型的有机卤代物影响不同,有机溴受DOC影响程度小于有机氯。     

微库仑法和离子色谱法测定土壤中可吸附有机卤素

采用振荡吸附处理土壤样品,用微库仑法和离子色谱法分别测定土壤中的可吸附有机卤素(AOX)。通过优化样品前处理条件以提高AOX的提取效率,上述两种方法检出限分别为15.3 mg/kg和16.3 mg/kg, 4-氯苯酚作为标准物质的加标回收率分别为92.2%～95.0%和77.7%～80.2%。两种方法测定实际土壤样品中AOX,6次测定结果的RSD为5.4%～19.2%。GSS系列标准土壤试验结果表明,振荡吸附处理样品,用微库仑法和离子色谱法在测定样品中AOX时测定结果区别不大,土壤中AOX含量与卤素含量无直接关系。     

造纸工业总排水及漂白废水中AOX监测方法的研究

运用TOX测定仪对造纸工业废水及漂白废水中AOX(可吸附有机卤素)测定;水样用硝酸调pH＜2后,以双根活性炭玻璃填充柱连续吸附;将吸附有机物的活性炭在氧气流中燃烧热解、用微库仑法测定其卤化氢.样品前处理比现行活性炭振荡吸附法样品及试剂用量少、快速、重现性好.方法测定浓度下限为3.73μg/L.     

微库仑法测定新疆棉浆粕企业废水中可吸附有机卤素AOX

建立微库仑滴定法测定水质中可吸附有机卤素AOX的方法,考察3种活性炭柱对于空白的影响。实验结果表明,AOX的检出限为2.19μg/L,相对标准偏差为2.80%,纯水中高、中、低加标回收率在92.5%~107%,新疆棉浆粕企业废水中加标回收率为96.0%~101%。实验室空白也只有新购开封的耶拿原装活性炭小柱能满足标准要求的空白值(<30μg/L)。     

废水中可吸附有机卤化物的来源、测定方法及去除技术的研究进展

简述了废水中可吸附有机卤化物(AOX)的定义、来源和危害,以及国内外废水中AOX排放的相关法规。详细介绍了微库仑法、中子活化法、三维荧光法等AOX测定方法,以及物理法、化学法、生物法3种AOX去除技术的研究进展。并对工业废水中AOX的检测、表征及其针对性处理提出了今后的研究方向。     

红外分光光度法测定水中油类物质吸附方法的比较

吸附处理是红外法测定石油类的一个重要环节.通过实验对吸附柱法和振荡吸附法进行对较,结果表明动植物油质量浓度为0.560 mg/L～145 mg/L的水样,振荡吸附法吸附效率高于吸附柱法.振荡吸附法还具有操作时间短、硅酸镁耗量低、对操作人员危害性小、样品可批量分析的优点.     

对氯苯酚在水环境可吸附有机卤素监测中的应用

选用对氯苯酚固体和市售对氯苯酚标准溶液分别配制成2种可吸附有机卤素(AOX)标准溶液和标准样品进行实验.结果表明,使用对氯苯酚固体配制的AOX标准溶液,其分析曲线和带标分析结果良好,检出限为6.6μg/L,加标回收率为80.1％ ～106％;使用市售对氯苯酚标准溶液配制的AOX标准样品,其测定结果均在参考不确定度范围内...     

气相色谱法测定空气中氯乙烯

本法采用活性炭采样管富集吸附大气中氯乙烯,以二硫化碳为溶剂萃取解吸,以FID为检测器,用GDX—502为色谱柱进行色谱测定。同时进行了采样、贮存和色谱最佳条件的选择等试验。本方法的平均回收率90％以上,相对标准偏差在3％,最低检测限0.18mg/m~3(按采样体积10升计)。     

顶空毛细管柱气相色谱法测定水中卤代烃的研究

以顶空气相色谱法测定水中四种卤代烃,采用电子捕获检测器(ECD),内标法定量。探讨了色谱柱、热浴温度、平衡时间对测定结果的影响。结果表明,采用DB-624色谱柱,样品热浴温度为80℃,平衡时间为60min时,各卤代烃测定效果好。方法检出限为0.15~0.28μg·L-1,回收率在96.8%~99.3%之间,相对标准偏差在3.78%~5.62%之间。该法具有操作简单,准确度、灵敏度较高的特点,可用于水中卤代烃的测定。     

不同前处理方法对GC-MS法测定水中多种SVOCs效率的影响

通过对比液液萃取法、大孔吸附树脂法、固相萃取膜法、动态活性炭吸附法和固相萃取小柱法的试验效能,最终选择固相萃取小柱法作为测定水中7大类27种SVOCs的前处理方法,并对其进一步优化。试验表明,该方法在10.0μg/L~500μg/L范围内线性良好,方法检出限为0.003 1μg/L~0.03μg/L,空白加标样的回收率为70.9%~93.8%,RSD≤11.2%。     

Topsoil and Housedust Metal Concentrations in the Vicinity of a Lead Battery Manufacturing Plant

The aim of the study was to determine the extent of heavy metal pollution in the vicinity of a lead battery manufacturing plant in the Czech Republic, both in the general environment and within homes. Topsoils (0–5 cm) were sampled from 100 sites along 4 transects which crossed the battery factory, the town centre and outlying rural areas. Housedust samples were collected from 15 plant-workers' homes and 15 non plant-workers' homes located at various distances from the factory. Samples were analysed for levels of Pb, Zn, Cd, Cu, As and Sb, using ICP-AES. Soil concentrations of Pb, Cd, As and Sb peaked at the perimeter fence of the battery factory with Pb levels of up to 12 650 g g> ^-1. Concentrations of these metals decreased exponentially within 500 m of the plant. Whilst the battery factory does appear to be a source of all the metals with the exception of Zn, emissions do not appear to be transported to any great extent over distances of more than 0.5 km. Topsoil and housedust concentrations of Pb, Zn, Cd, Cu, As and Sb in the general Mlada Boleslav area do not appear to be significantly different from those recorded in a large scale survey of urban soils in the United Kingdom. A comparison of housedust Pb concentrations in homes of plant workers and non-plant workers suggests that there may be a small input of Pb into the home environment by battery plant employees.     

微波消解-原子吸收光度法测定土壤中铜锌铅镉镍铬

用微波消解－原子吸收光度法测定土壤中铜，锌，铅，镉，镍和铬。通过硝酸－氢氟酸－过氧化氢体系消解液对土壤样品消解，选择出微波最佳消解条件。对硝酸－盐酸－过氧化氢体系消解液和硝酸－氢氟酸－过氧化氢体系消解液进行消解对比试验，发现前者不能将土壤样品完全消解，后者能将样品消解完全，但需将消解液中剩余的酸赶尽，否则测定结果将明显偏低。微波消解土壤与传统电热消解相比，操作简便快速，可提高工作效率。     

An Overview of Contaminant-Related Issues Identified by Monitoring in San Francisco Bay

The San Francisco Estuary Regional Monitoring Program for Trace Substances (RMP) began in 1993 and is sponsored by 74 local, state, and federal agencies and companies through their discharge or Bay use permits. The RMP monitors water, sediment, toxicity, and bivalve bioaccumulation at 25 sites in the Bay that are considered to represent "background" conditions. Several major environmental issues have been identified by the RMP. Polychlorinated biphenyls and mercury were often above water quality guidelines, and often occurred in fish tissues above U.S. Environmental Protection Agency (U.S. EPA) screening values. Concentrations do not appear to be decreasing, suggesting continuing inputs. Episodes of aquatic toxicity often occurred following runoff events that transport contaminants into the Bay from urbanized and agricultural portions of the watershed. Sediment toxicity occurred throughout the Bay, and has been correlated with concentrations of specific contaminants (chlordanes, polynuclear aromatic hydrocarbons) at some locations; mixtures of contaminants were probably also important. Since the RMP does not monitor all ecosystem components, assessments of the overall condition of the Bay cannot be made. However, in terms of contamination, the RMP samples suggest that the South Bay, and North Bay sites are moderately contaminated.     

Biomagnification factors (fish to Osprey eggs from Willamette River,Oregon, U.S.A.) for PCDDs,PCDFs, PCBs and OC pesticides

A migratory population of 78 pairs of Osprey (Pandion haliaetus) nesting along the Willamette River in westernOregon was studied in 1993. The study was designed to determinecontaminant concentrations in eggs, contaminant concentrationsin fish species predominant in the Ospreys diet, andBiomagnification Factors (BMFs) of contaminants from fish specieseaten to Osprey eggs. Ten Osprey eggs and 25 composite samplesof fish (3 species) were used to evaluate organochlorine (OC)pesticides, polychlorinated biphenyls (PCBs), polychlorinateddibenzo-p-dioxins (PCDDs), and polychlorinated dibenzofurans(PCDFs). Mercury was also analyzed in fish. Geometric meanresidues in Osprey eggs were judged low, e.g., DDE 2.3 g g^-1 wet weight (ww), PCBs 0.69 g g^-1, 2,3,7,8-TCDD 2.3 ng kg^-1, and generally well below known threshold values for adverse effects on productivity, and the population was increasing. Osprey egg residue data presentedby River Mile (RM) are discussed, e.g., higher PCDDs were generally found immediately downstream of paper mills and eggsfrom the Willamette River had significantly elevated PCBs and PCDDs compared to reference eggs collected nearby in the CascadeMountains. Prey remains at nest sites indicated that the Largescale Sucker (Catostomus macrocheilus) and NorthernPikeminnow (Ptychocheilus oregonensis) accounted for an estimated 90.1% of the biomass in the Osprey diet, and composite samples of these two species were collected from different sampling sites throughout the study area for contaminant analyses. With the large percentage of the fishbiomass in the Osprey diet sampled for contaminants (and fisheaten by Ospreys similar in size to those chemically analyzed),and fish contaminant concentrations weighted by biomass intake, a mean BMF was estimated from fish to Osprey eggs for the largeseries of contaminants. BMFs ranged from no biomagnification(0.42) for 2,3,7,8-TCDF to 174 for OCDD. Our findings for themigratory Osprey were compared to BMFs for the resident HerringGull (Larus argentatus), and differences are discussed. Webelieve a BMF approach provides some basic understanding ofrelationships between contaminant burdens in prey species offish-eating birds and contaminants incorporated into their eggs,and may prove useful in understanding sources of contaminants inmigratory species although additional studies are needed.     

The Draft of the New German Guideline VDI 3782/8 to Model Automobile Exhaust Dispersion

The draft of the German guideline to calculate automobile exhaust dispersion is explained. It contains a two-stage-system: For first quick estimates the guideline contains the simple models MLuS and STREET. In case these models are not applicable or their results shows concentration levels close to the air quality standards, the more complex models PROKAS_V and MISKAM are recommended. PROKAS_V is a Gaussian plume model, MISKAM is a 3-dimensional microscale non hydrostatic flow model for built-up areas with an Eulerian dispersion model. The guideline comprises cases in rural areas without or with few adjacent buildings as well as urban areas with buildings near the roads. The contribution gives information about the models, typical results and some of the problems showing up presently.     

Hydrocarbon Utilization in Yeast Isolates Found to Grow in Association with Petroleum in a Polluted Ultisol of Midwestern Nigeria

The population counts of hydrocarbon-utilising yeasts weremonitored at six sampling stations in the Benin City municipalarea over a four-week period. Although the population countswere relatively constant in each locality, the highest countsoccurred in areas heavily polluted by domestic and industrialeffluents. A total of thirty-five hydrocarbon-degrading yeastswere isolated from soil at the sampling stations usingn-hexadecane as sole carbon source. The isolates were identifiedas belonging to the genera Candida (27 strains), Endomycopsis (4 strains). All the organisms grew on long-chainn-alkane, kerosene, diesel oil and crude oil but failed to growon short-chain n-alkane, aromatic and alicyclic hydrocarbons.Measurement of growth attributes of the isolates usingn-hexadecane, diesel oil and crude oil as substrates showed thatthe Candida species were better utilizers of hydrocarbonsubstrates relative to Endomycopsis and Schizosaccharomyces species.     

Hydrologic–Economic Model for Managing Irrigation Intensity in Irrigation Areas under Watertable and Soil Salinity Targets

This paper gives mathematical details and sample applications of SWAGMAN Farm (SWAGMAN, Salt Water and Groundwater Management), a farm-scale hydrologic economic model that integrates agronomic, climatic, irrigation, hydrogeological and economic aspects of irrigated agriculture. The model is capable of determining optimum mix of land use to keep watertable and soil salinity within acceptable limits while maximising the economic returns. Alternatively, the model can simulate water and salt balance and economics of a given cropping preference. Web-based and Geographic Information Systems versions of the model are available for integration with the environmental reporting systems of the irrigation areas.     

火焰原子吸收光谱法测定苏州开发区26种蔬菜中铜锌铁锰镍

用火焰原子吸收光谱法测定了苏州开发区26种蔬菜中的铜、锌、铁、锰和镍的含量。蔬菜样品用硝酸高氯酸混合酸进行消解。4次测定值的相对标准差<5%,加标回收率在92%～107%之间。26种蔬菜中铜、锌、铁、锰、镍的含量基本均在世贸组织规定的范围内。     

Cyanobacterial Flora from Polluted Marine Shores

Citation of cyanobacterial cultures from the shores of south west coast of Gujarat, India and their relationship with sea water quality, influenced by extensive pollutant runoff is reported in this study. Intensity of pollution was evaluated by physico-chemical analysis of water. Higher load of suspended solids (60–1000 mg l⁻¹) and nutrients (PO₄ ⁻P: 1.3–4 μmole l⁻¹ and NO₃ ⁻N: 12.5–17.8 μmole l⁻¹) were persistent throughout the analysis. Community structure is seen to be influenced by such persistent pollution. Twenty nine cyanobacterial species were isolated belonging to 9 genera of 4 families, with an elevated occurrence of Oscillatoria and Lyngbya species. No heterocystous cyanobacteria were isolated throughout the study.     

Using Multiple Taxonomic Groups to Index the Ecological Condition of Lakes

Biological indicators of communitiestypically reflect a common environmental signalreflecting the general condition of the ecosystem, as well asindividual signals by indicators differentiallysensitive to particular environmental conditions. Wedescribe here a method of integrating and interpretingsuch indicators from 19 New England lakes for fivetaxonomic groups (diatoms, benthos, zooplankton, fish,and birds). Our approach provides a systematicstandardized way to integrate multiple metrics fromdifferent taxonomic groups by addressing four elementscrucial to analyzing data from multiple indicators: covariate control, re-scaling of data, standardizing the sign of responses, and dimensional reduction. We evaluated the biologicalmetrics against individual environmental stressors andagainst multivariate physicochemical metricscharacterizing general anthropogenic stress among thelakes. The method detected a response to variationin the gross environmental condition of the lakes thatwas correlated across taxa and metrics. In addition,a differential response to near shore conditions wasdemonstrated for fish. The success of the approach inthis study lends support to its general application toecological monitoring involving complex data sets.