The effects of matrix diffusion on radionuclide migration in rock column experiments

Rock column experiments were performed to examine the effects of matrix diffusion and hydrodynamic dispersion on the migration of radionuclides at the laboratory scale. Tritiated water and chloride transportation was studied in intact mica gneiss and in altered more porous tonalite columns with narrow flow channels. The column diffusion properties were estimated prior to water flow experiments using the gas diffusion method with helium as the tracer gas. The numerical compartment model for advection and dispersion, with and without matrix diffusion, was used to interpret the tracer transport in the columns. Matrix diffusion behavior was also distinguished from dominating hydrodynamic dispersion in rock column experiments at the slowest water flow rates.     

Germination and seedling development of switchgrass and smooth bromegrass exposed to 2,4,6-trinitrotoluene

It is estimated that explosives contaminate approximately 0.82 million cubic metres of soil at former military installations throughout the US; major contaminants often include 2,4,6-trinitrotoluene (TNT) and its degradation products. At some sites, phytoremediation may be a viable option to incineration or other costly remediation treatments. Grasses may be particularly suited for remediation because of their growth habit and adaptability to a wide range of soil and climate conditions. We characterized the effects of TNT on germination and early seedling development of switchgrass and smooth bromegrass to evaluate their potential use on contaminated sites. Switchgrass and smooth bromegrass seeds were germinated in nutrient-free agar containing 0 to 60 mg TNT litre(-1). Smooth bromegrass germination decreased as TNT concentration increased, while switchgrass germination was unaffected by TNT. Concentrations up to 15 mg TNT litre(-1) did not affect switchgrass root growth rate, but bromegrass root growth was reduced at TNT concentrations above 7.5 mg litre(-1). At 7.5 mg TNT litre(-1), however, shoot growth rate was reduced in both species. Examination at 20-fold magnification revealed switchgrass radicles were unaffected by TNT, while smooth bromegrass radicles appeared slightly swollen. Results indicate switchgrass is more tolerant of TNT than smooth bromegrass, but the establishment of both species may be limited to soil containing less than 50 mg kg(-1) of extractable TNT.     

Influence of storage time on toxicity of freshwater sediments to benthic macroinvertebrates

Guidance concerning recommended storage times for sediments to be used in toxicity tests generally has not been based upon systematically collected experimental data. The objective of this study was to better define the effects of storage time on toxicity of a series of freshwater sediments. Sixteen sediments with varying types of contaminants were collected, homogenized and stored at 4 degrees C in 1 liter aliquots, which were periodically tested for toxicity to the amphipod Hyalella azteca and the midge Chironomus tentans after storage times of up to 101 weeks. The sediments ranged from non-toxic to extremely toxic (100% mortality) in 10-day assays, with several of the samples displaying an intermediate degree of toxicity (e.g. partial mortality, reduced growth). Biological responses in most of the samples did not vary with time relative to their statistical relationship to control values; samples identified initially as toxic (or non-toxic) tended to remain toxic (or non-toxic) regardless of when they were tested. The variations that were observed in biological responses over time generally were not systematic; that is, there were no apparent trends in samples becoming more (or less) toxic in the 10-day assays. This suggests that the source of at least some of the temporal changes in toxicity were due to inherent biological variability of the assays used to assess the sediments, rather than the effects of storage. In C. tentans tests with the least toxic sediments, among-replicate variability tended to be greater in initial assays than in tests with samples that had been stored for some period of time. This may have been due to the presence of indigenous competitive or predatory organisms that did not survive during prolonged storage.     

Application of artificial neural networks to modeling and prediction of ambient ozone concentrations

The deterministic modeling of ambient O3 concentrations is difficult because of the complexity of the atmospheric system in terms of the number of chemical species; the availability of accurate, time-resolved emissions data; and the required rate constants. However, other complex systems have been successfully approximated using artificial neural networks (ANNs). In this paper, ANNs are used to model and predict ambient O3 concentrations based on a limited number of measured hydrocarbon species, NOx compounds, temperature, and radiant energy. In order to examine the utility of these approaches, data from the Coastal Oxidant Assessment for Southeast Texas (COAST) program in Houston, TX, have been used. In this study, 53 hydrocarbon compounds, along with O3, nitrogen oxides, and meteorological data were continuously measured during summer 1993. Steady-state ANN models were developed to examine the ability of these models to predict current O3 concentrations from measured VOC and NOx concentrations. To predict the future concentrations of O3, dynamic models were also explored and were used for extraction of chemical information such as reactivity estimations for the VOC species. The steady-state model produced an approximation of O3 data and demonstrated the functional relationship between O3 and VOC-NOx concentrations. The dynamic models were able to the adequately predict the O3 concentration and behavior of VOC-NOx-O3 system a number of hourly intervals into the future. For 3 hr into the future, O3 concentration could be predicted with a root-mean squared error (RMSE) of 8.21 ppb. Extending the models further in time led to an RMSE of 11.46 ppb for 5-hr-ahead values. This prediction capability could be useful in determining when control actions are needed to maintain measured concentrations within acceptable value ranges.     

Idle emissions from heavy-duty diesel and natural gas vehicles at high altitude

Idle emissions of total hydrocarbon (THC), CO, NOx, and particulate matter (PM) were measured from 24 heavy-duty diesel-fueled (12 trucks and 12 buses) and 4 heavy-duty compressed natural gas (CNG)-fueled vehicles. The volatile organic fraction (VOF) of PM and aldehyde emissions were also measured for many of the diesel vehicles. Experiments were conducted at 1609 m above sea level using a full exhaust flow dilution tunnel method identical to that used for heavy-duty engine Federal Test Procedure (FTP) testing. Diesel trucks averaged 0.170 g/min THC, 1.183 g/min CO, 1.416 g/min NOx, and 0.030 g/min PM. Diesel buses averaged 0.137 g/min THC, 1.326 g/min CO, 2.015 g/min NOx, and 0.048 g/min PM. Results are compared to idle emission factors from the MOBILE5 and PART5 inventory models. The models significantly (45-75%) overestimate emissions of THC and CO in comparison with results measured from the fleet of vehicles examined in this study. Measured NOx emissions were significantly higher (30-100%) than model predictions. For the pre-1999 (pre-consent decree) truck engines examined in this study, idle NOx emissions increased with model year with a linear fit (r2 = 0.6). PART5 nationwide fleet average emissions are within 1 order of magnitude of emissions for the group of vehicles tested in this study. Aldehyde emissions for bus idling averaged 6 mg/min. The VOF averaged 19% of total PM for buses and 49% for trucks. CNG vehicle idle emissions averaged 1.435 g/min for THC, 1.119 g/min for CO, 0.267 g/min for NOx, and 0.003 g/min for PM. The g/min PM emissions are only a small fraction of g/min PM emissions during vehicle driving. However, idle emissions of NOx, CO, and THC are significant in comparison with driving emissions.     

Tributyltin contamination around an oil terminal in Sullom Voe (Shetland)

This report provides clear evidence of tributyltin (TBT) contamination of coastal waters close to an oil terminal handling large tankers. Dogwhelk populations from Sullom Voe, Shetland, have been examined for the development by females of certain male sexual characteristics (e.g. a penis and vas deferens). This condition, termed imposex, is a response to exposure to tributylin compounds, and can be quantified by use of the relative penis size index (RPSI). Dogwhelk populations throughout Sullom Voe were strongly affected by TBT (RPSI 34 to 81%), and up to 90% of the females in the oil terminal area were sterile. Queen scallops collected in the Voe contained enhanced concentrations of tin in adductor muscle and gonad tissue (0.02 to 0.23 mg kg(-1) wet weight), but it is considered unlikely that their growth and development is adversely affected. Tin was rarely detected in scallops, queens, or dogwhelks outside the Voe, although the development of a vas deferens in many of the female dogwhelks indicated a degree of contamination of the open waters of Yell Sound. TBT was detectable (2 ng litre(-1) as tin) in only two sea water samples taken from the terminal area.     

Forest health surveys--a critique

Surveys of forest health, as presently undertaken, provide information on the general condition of forests. They integrate the effects of all factors, biotic and abiotic, of which pollution is but one, that affect trees. Most surveys are based on the assessment of crown density and crown discoloration. These assessments are subjective and serious errors can occur. In some cases, the sampling design that has been adopted is not the most suitable for the forest area under investigation. The blanket application of a systematic sampling design based on a 16 by 16 km grid is particularly questionable in view of the variation in the nature of Europe's forests. Comparisons, either between regions or through time, may or may not be valid, depending on how the surveys are conducted. Although much progress has been made, standardisation within Europe has not yet been achieved and it is therefore difficult to make comparisons between the results obtained by different countries.     

Crop loss due to ambient ozone in the Tennessee Valley

Rural and urban ozone (O3) monitoring data for the Tennessee Valley and crop loss models developed under the National Crop Loss Assessment Network (NCLAN) were used to estimate potential yield reductions for winter wheat, corn, soybean, cotton, and tobacco during the 1982 to 1984 growing seasons. Reductions from 0 to 20% of potential crop yields were estimated due to ambient O3. Rural O3 exposures measured in the Tennessee Valley were significantly higher than the measured urban exposures, suggesting that spatial interpolation from urban O3 records may underestimate rural O3 and thereby potential crop loss. Seasonal mean O3 exposures were highest in summer 1983, and similar in 1982 and 1984. Although a consistent inverse relationship was found between measured crop yields in the Tennessee Valley and seasonal O3 exposures, annual variation in yields was much greater than attributable to the annual variation in O3. Moisture stress, as indicated by the Palmer Drought Severity Indices, is likely the major determinant for yields of nonirrigated crops. This is consistent with field studies that demonstrate that ambient O3 levels can reduce crop yields under ideal soil moisture conditions, but cause little to no detectable yield reduction for nonirrigated crops. These models could be improved if crop response to O3 were allowed to vary as a function of environmental factors such as moisture stress.     

Kinematic wave approximation to solute transport along preferred flow paths in soils

A routing procedure is introduced which accounts for the loss of a conservative solute tracer from preferred paths during macropore flow. Water flow is treated as a series of kinematic waves from which the tracer is lost due to mixing previously stored soil water, and an expression for solute loss is added to a previously developed model. The model parameters are estimated through experiments at three different input rates applied to a column of a macroporous forest soil.The results of seven experimental runs indicate that solute losses are consistently highest at the early stages of infiltration and drainage flow. An empirical relationship is proposed which links the frequency distribution of the flow parameter with that for solute loss from the preferred path during transient water flow and solute transport.