Uptake of radionuclides by plants after the Chernobyl accident

Gamma-radioactivity of a wide variety of plant samples was measured. Measurements showed that radioactivity in plants depended on the area of surface exposed, the developmental season of the plants, and on the external morphology of their above-ground parts. Autoradiographs on several plants showed the presence of radioactivity in certain spots (hot spots) which were distributed randomly on the surface of the plants and differed in size and activity.     

The deposition of radionuclides from Chernobyl to a forest in Belgium

In the course of a study performed on traditional pollutants, deposition of radionuclides from Chernobyl was observed at a forest in E Belgium. The main deposition flux occurred as a consequence of a 7.4 mm rainfall episode which took place on 4 May. The deposition behaviour of radionuclides is very similar to the behaviour of traditional pollutants with the noteworthy exception of radioactive caesium which seems to have been absorbed by tree foliage.     

A statistical model to estimate long-term concentrations of pollutants associated with long-range transport

A simple statistical model is presented for estimating long-term concentrations of pollutants associated with long-range transport. Dispersion and removal of pollutants are described in terms of statistics of these physical processes. The model has been used to estimate wet deposition of sulfur over a grid covering Northeastern United States and Canada. Model estimates compare well with corresponding measurements of annual deposition. As an example of the applications of the model we have computed the relative contribution of U.S. and Canada to the sulfur deposition over the grid considered in the paper.     

The reactor accident at chernobyl: A possibility to test colloid-controlled transport of radionuclides in a shallow aquifer

Radioactive fall-out from the damaged nuclear power station at Chernobyl (USSR) has been measured in May 1986 in the River Glatt (Zürich, Switzerland) and in a shallow groundwater stream. This aquifer is hydraulically connected to the river and recharged by river water. Ruthenium-103, I-131, Te-132, Cs-134 and Cs-137 were measured several times using gamma-ray spectroscopy. By filtration through 0.45 μm, 0.2 μm and 0.05 μm filters the radionuclides were partitioned between solution (filtrate < 0.05 μm) and particles/colloids.In the river, the main radioactivity for all the investigated nuclides was found in the water passing the 0.05 μm filter. Among the particulates the highest radioactivity was detected in the fraction > 0.45 μm, the two smaller sizes contributing only little.In the water infiltrating into the groundwater Ru-103, I-131 and Te-132 were found almost exclusively in the filtrate (< 0.05 μm). No Cs-134, 137 was detected in this fraction indicating complete sorption on the aquifer material during infiltration. Only a very small radioactivity was found on colloids > 0.05 μm suggesting their retention by the heterogeneous glaciofluvial outwash deposits (stones, gravel, sand, clays).     

Evaluation of a long-range lagrangian dispersion model with ETEX

Performance of a Lagrangian dispersion model was examined in connection with its dependency on the boundary layer modelling and the input data resolution. The European Tracer Experiment (ETEX) data were used as reference. According to the sensitivity analysis of the model performance, the long-range dispersion model with the sparse input data was not noticeably different from that with the finer resolution data. The assumption of the prescribed constant mixing depth did not largely degrade the prediction results as compared with the simulation results with the temporally changing boundary layer. It is, therefore, concluded that the model is practical, considering the limited input data in the operational mode. However, it was also pointed out that the parameterization for the horizontal and vertical diffusion processes used in the present model enhanced the growth of plume. The improvement of input data resolution in time and space caused further dispersion of tracer deterministically. These resulted in the underestimation of the maximum concentration and the unfocussed concentration distribution map although the mean concentration was predicted fairly well.     

Sensitivity of the DERMA long-range Gaussian dispersion model to meteorological input and diffusion parameters

The Danish Emergency Response Model of the Atmosphere (DERMA) is described and applied to the first ETEX experiment. By using analysed low-resolution numerical weather-prediction data from the global model of the European Centre for Medium-range Weather Forecast (ECMWF) as well as higher-resolution data from two versions of the High Resolution Limited Area Model (HIRLAM), which are operational at the Danish Meteorological Institute (DMI), the sensitivity of DERMA to the resolution of meteorological data is analysed by comparing DERMA results with concentration measurements. Furthermore, the sensitivity to boundary-layer height and diffusion parameters is studied. These parameters include the critical bulk Richardson number, which is used to estimate the atmospheric boundary-layer height, the horizontal eddy diffusivity and the Lagrangian turbulence time scale. The parameters, which provide the best performance of DERMA, are 0.25 for the critical bulk Richardson number, 6×10³ m² s^-1 for the horizontal eddy diffusivity, and 3 h for the Lagrangian time scale. DERMA is much more sensitive to boundary-layer parameters when using high-resolution DMI-HIRLAM data than when using data of lower resolution from the ECMWF. Finally, the bulk Richardson number method of boundary-layer height calculation applied to DMI-HIRLAM data is verified directly against routine radiosondes released under the tracer gas plume. The boundary-layer height estimates based on analysed NWP model data agree well with observations, and the agreement deteriorates as a function of forecast length.     

Data assimilation in the atmospheric dispersion model for nuclear accident assessments

Uncertainty factors in atmospheric dispersion models may influence the reliability of model prediction. The ability of a model in assimilating measurement data will be helpful to improve model prediction. In this paper, data assimilation based on ensemble Kalman filter (EnKF) is introduced to a Monte Carlo atmospheric dispersion model (MCADM) designed for assessment of consequences after an accident release of radionuclides. Twin experiment has been performed in which simulated ground-level dose rates have been assimilated. Uncertainties in the source term and turbulence intensity of wind field are considered, respectively. Methodologies and preliminary results of the application are described. It is shown that it is possible to reduce the discrepancy between the model forecast and the true situation by data assimilation. About 80% of error caused by the uncertainty in the source term is reduced, and the value for that caused by uncertainty in the turbulence intensity is about 50%.     

Analysis of the impact of various vertical release patterns on the atmospheric dispersion and total deposition of 137Cs from Chernobyl Nuclear Power Plant accident

Environmental Science and Pollution Research - The Chernobyl Nuclear Power Plant (NPP) catastrophe of 1986 has been a milestone in the use of nuclear power for energy generation. After the...     

The long-range dispersion of a plume from an isolated point source

The dispersion of the plume from a sulphide smelter at Mount Isa, Australia, has been determined at distances of up to 1000 km from the source. Simultaneous measurements by an airborne correlation spectrometer, flame photometer and aitken counter have allowed accurate determinations of plume width at these large distances.Radiosonde and pilot-balloon data from four positions spanning the region have been used to calculate the trajectories of each of the plumes measured in the study. In each case the measured plume position was in good agreement with the position predicted on the basis of the wind data.A simple model based on the diurnal variation of the structure of the atmosphere, as well as the turning of the wind with height, is shown to account adequately for the measurements of plume width during well-mixed atmospheric conditions at distances of between 25 and 1000 km from the source.     

A probabilistic model for the carry-over of PCDD/Fs from feed to growing pigs

When food producing animals are contaminated with PCDD/F congeners, information on the contaminant’s concentration in the bodies of the animals at time of slaughter is needed for risk management purposes. We have developed a mathematical model for the kinetics of PCDD/Fs in growing pigs in case of contaminated feed fed for a limited duration of time. This model allows the prediction of concentrations in body fat. It considers absorption fractions of PCDD/Fs, clearance by metabolism, dilution by growth and excretion through fecal fat. The model parameters were calibrated by fitting the model to experimental data. On the basis of this toxicokinetic model a probabilistic model has been constructed. The probabilistic model handles the parameters with appropriate probability distributions and Monte-Carlo simulation technique, providing for realistic situations with many animals and a range of contaminations and feeding intervals. We applied the new model to describe the German dioxin incident of winter 2010/2011 and discuss its viability as decision tool. The approach demonstrated here is a showcase how a risk assessment in the case of contaminated feeding can be performed.     

A framework for error analysis of a long-range transport model with emphasis on parameter uncertainty

A comprehensive framework for model error analysis is applied to the EMEP-W model of longrange transport of sulfur in Europe. This framework includes a proposed taxonomy of model uncertainties. Parameter uncertainties were investigated by Monte Carlo simulation of two source-receptor combinations. A 20% input parameter uncertainty (expressed as a coefficient of variation = standard deviation/mean) yielded a 15–22% output error of total sulfur deposition. The relationship between output error and input uncertainty was approximately proportional. Covariance between parameters can have an important effect on computed model error, and can either exaggerate or reduce errors compared to the uncorrelated case. Of the model state variables, SO₂ air concentration and wet deposition had the highest error, and total sulfur deposition the lowest. It was also found that it is more important to specify the dispersion of the input parameter frequency distributions than their shape. The results of the model error analysis were applied to routine calculations of deposition in Europe. An error (coefficient of variation) of 20% for transfer coefficients throughout Europe yielded spatial variations in the order of a few tens to a few hundreds of km in computed deposition isolines of 2 and 5 g sulfur m⁻²a⁻¹.     

The long-range travel and dispersion of the plume from the Mount St Helens volcano

The eruption of the Mount St Helens volcano on 18 May 1980 provided a unique opportunity to study long-range transport of airborne material in the upper troposphere. Forecast trajectories indicated that the major part of the debris would reach the eastern Atlantic around 30° N, and the Hercules aircraft of the Meteorological Research Flight was detached to Gibraltar to take samples of the plume. The results showed that the trajectories, based on the Meteorological Office 10-level forecast model, predicted the movement of the debris quite well. There was marked horizontal and vertical structure within the plume, and evidence that some segregation of particles of different size ranges had occurred. The total flux of material in the sampled volume was estimated to be of the order of half a megatonne.     

A statistical methodology for the evaluation of long-range dispersion models: an application to the ETEX exercise

This paper describes the statistical methodology applied to evaluate the performance of the long-range dispersion models that were used in the modelling activities of ETEX (European Tracer EXperiment). The availability of a large number of models makes this exercise rather unique. These models are used for the practical purpose to quantify the contamination effects over a vast area, following a hypothetical accidental release of harmful material. This makes the quality judgement that could be attributed to the results of each model particularly important.The statistical indicators considered to be the most effective for the evaluation of long-range dispersion models are introduced and commented, with specific examples in the frame of ETEX simulations. The importance of using several indices and critically interpreting the results is discussed.     

Analysis of observations relevant to long-range transport and deposition of pollutants

Observations of annual wet deposition of sulfur made during 1980 at 62 stations in northeastern America are interpreted using a statistical long-range transport model. This work is meant to demonstrate the role of an empirical model in the analysis of observations. Our analysis points to the following conclusions:

• 1.(1) The parameters that represent the conversion of SO₂ to SO₄ and the wet and dry removal of sulfur are insensitive to concentration levels,
• 2.(2) the variation of the wet deposition field is closely related to the distribution of sulfur emissions and
• 3.(3) observations demand efficient wet scavenging of SO₂.

     

An analytical model for the transport,dispersion and elimination of air pollutants emitted from a point source

The solution of the complete transport diffusion equation with a first order reaction term is obtained for a continuous source. A deposition velocity boundary condition is met at the ground and, optionally, a similar leakage velocity boundary condition can be met at the base of a superjacent layer. The identification of a preliminary transformation of the dependent variable that eliminates the transport and sink terms permits particularly simple analytic solutions to be obtained by means of conventional Laplace transform, Green's function methods. Prior solutions are compared with these results. A linearisation of the solution without an overlying layer provides a simple extension of the conventional Gaussian plume result that permits account to be taken of pollutant settling velocity, of absorption at the ground and of a first order reaction. The accuracy of this linearisation is assessed. Examples of the application of the methods to calculation of the distribution of particulates and of the formation of nitrogen dioxide in a plume are given.     

A simple model for the dispersion of pollutants from a road tunnel portal

The dispersion of pollutants from a roadway tunnel portal is mainly determined by the interaction between the ambient wind and the jet stream from the tunnel portal. In principal, Eulerian microscale models by solving the conservation equations for mass, momentum, and energy, are thus able to simulate effects such as buoyancy etc. properly. However, for engineering applications such models need too much CPU time, and are not easy to handle by non-scientific personnel. Only a few dispersion models, applicable for regulatory purposes, have so far appeared in the literature. These models are either empirical models not always applicable for different sites, or they do not capture important physical effects like buoyancy phenomena. Here, a rather simple model is presented, which takes into account most of the important processes considered to govern the dispersion of a jet stream from portals. These are the exit velocity, the buoyancy, the influence of ambient wind direction fluctuations on the position of the jet stream, and traffic induced turbulence. Although the model contains some heuristic elements, it was successfully tested against tracer experiments taken near a motorway tunnel portal in Austria. The model requires relatively little CPU time. Current limitations of the model include the neglect of terrain, building, and vehicle effects on the dispersion, and the neglect of the horizontal dispersion arising from entrainment of ambient air in the jet stream. The latter could lead to an underestimation of plume spreads for higher wind speeds. The validation of the model will be the focus of future research. The experimental data set is also available for the scientific community.     

The effect of variable sub-grid deposition factors on the results of the lagrangian long-range transport model of EMEP

The EMEP/MSC-W routine model for long-range atmospheric transport of sulphur and nitrogen includes a correction for the unresolved sub-grid-scale deposition in emission grid-squares. A constant fraction of the emissions is assumed to be directly deposited inside the first grid-square. Experiments have been performed to estimate the effects of using factors which vary with emission height and meteorological conditions. Results indicate that the constant local deposition factor used for sulphur dioxide in the routine model, is an overestimate, in particular for high-level emission sources. The change in annual deposition caused by the new local deposition factor for sulphur dioxide, is most clearly seen as a decreased deposition in the grid-squares with the largest emissions such as due for the former German Democratic Republic. The amount of this decrease strongly depends on the source height distribution. With the presently available emission data, a decrease of maximum 36% can be expected in individual grid squares. In grid-squares dominated by transboundary deposition, the increase is typically lower than 10%.     

Distribution of fission products in dust samples from the region of Thessaloniki, Greece, after the Chernobyl nuclear accident

The distribution of the fission products (95)Zr, (95)Nb, (103)Ru, (106)Ru (determined through (106)Rh), (125)Sb, (129m)Te, (134)Cs, (137)Cs, (140)Ba, (140)La, (141)Ce and (144)Ce has been determined in dust samples from the region of Thessaloniki, Greece, after the nuclear accident at Chernobyl. The samples studied also included (110m)Ag, not belonging to the products of (235)U fission. Samples showing higher concentrations of radionuclides also show a higher content in clay minerals, whereas samples having low concentrations of radionuclides usually contain large amounts of quartz and feldspars. Desorption and leaching experiments using solutions of chlorides of sodium, potassium, calcium and magnesium (0.5 N), as well as distilled and tap water, were also performed. Sodium and potassium chloride solutions were found to be efficient in desorbing and/or leaching of caesium and ruthenium isotopes to an extent of about 30%.     

Assessment of the environmental persistence and long-range transport of endosulfan

Concentrations of the insecticide endosulfan (α- and β-isomer) and its degradation product endosulfan sulfate in air, seawater and soil are calculated with the global environmental fate model CliMoChem. As model input, physicochemical properties of all three compounds were assembled and a latitudinally and temporally resolved emission inventory was generated. For concentrations in air, model and measurements are in good agreement; a bimodal seasonality with two peaks in spring and fall as it is observed in Arctic air is reproduced by the model. For seawater, the agreement of model and measurements depends on the values of the hydrolysis activation energy of endosulfan used in the model; with relatively high values around 100 kJ/mol, model results match field data well. The results of this assessment of the levels, persistence, and global distribution of endosulfan are also relevant for the evaluation of endosulfan as a Persistent Organic Pollutant under the Stockholm Convention.     

A multi-layer model for pollutant dispersion with dry deposition to the ground

This paper presents a semi-analytical solution for the steady advection–diffusion equation that allows simulating the vertical turbulent dispersion of air pollution with deposition to the ground. The performances of the solution, with a proper parameterization of the vertical profiles of wind and eddy diffusivity, were evaluated against Hanford diffusion experiment dataset using two tracers (Doran and Horst, 1985): a non-depositing gas (SF₆) and depositing particles (ZnS). Results show that the dispersion model with the K-parameterization included produces a good fitting of the measured ground-level concentration data and there are no big differences between the parameterizations taken from literature. A comparison with other models was shown and discussed.