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1.
Appl Radiat Isot ; 66(11): 1736-40, 2008 Nov.
Article in English | MEDLINE | ID: mdl-18514533

ABSTRACT

The paper describes the main results of the international EMRAS model testing exercise for radionuclide transport in watershed-river and estuarine systems. The exercises included the following scenarios: multi-point source of (3)H discharge into the Loire River (France), radioactive contamination of the Dnieper-Southern Boug estuary (Ukraine), remobilisation of radionuclide contamination from the Pripyat River floodplain (Ukraine) following the Chernobyl accident, release of radionuclides into the Techa River (Russia) and behaviour of (226)Ra in the Huelva estuary (Spain).


Subject(s)
Models, Theoretical , Radiation Monitoring/methods , Radioisotopes/analysis , Radioisotopes/chemistry , Water Pollutants, Radioactive/analysis , Water Pollutants, Radioactive/chemistry , Water/chemistry , Computer Simulation , Europe , Radiation Dosage , Reproducibility of Results , Sensitivity and Specificity , Water/analysis
2.
J Environ Radioact ; 88(1): 11-48, 2006.
Article in English | MEDLINE | ID: mdl-16500005

ABSTRACT

The paper presents data on radiation effects in populations of wild vertebrate animals inhabiting contaminated terrestrial ecosystems. The data were extracted from the database "Radiation effects on biota", compiled within the framework of the EC Project EPIC (2000-2003). The data collection, based on publications in Russian, demonstrates radiation effects in the areas characterized with high levels of radionuclides (Kyshtym radioactive trace; "spots" of enhanced natural radioactivity in the Komi region of Russia; territories contaminated from the Chernobyl fallout). The data covers a wide range of exposures from acute accidental irradiation to lifetime exposures at relatively low dose rates. Radiation effects include mortality, changes in reproduction, decrease of health, ecological effects, cytogenetic effects, adaptation to radiation, and others. Peculiarities of radiation effects caused by different radionuclides are described, also the severity of effects as they appear in different organisms (e.g. mice, frogs, birds, etc.).


Subject(s)
Ecosystem , Radiation Effects , Vertebrates , Adaptation, Physiological/radiation effects , Animals , Biodiversity , Birds/physiology , Cattle , Chernobyl Nuclear Accident , Databases, Factual , Environmental Monitoring , Lizards/physiology , Longevity/radiation effects , Mammals/physiology , Mice , Radiation Injuries/veterinary , Radioactive Fallout , Radioactive Hazard Release , Ranidae/physiology , Reproduction/radiation effects , Russia
3.
J Environ Radioact ; 62(1): 61-74, 2002.
Article in English | MEDLINE | ID: mdl-12141608

ABSTRACT

The present paper is aimed at assessing the long term behaviour of 90Sr migration from water to bottom sediments of Lake Uruskul, Southern Urals, Russia. The lake was contaminated following the nuclear accident at the Mayak nuclear complex in 1957 (the Kyshtym accident). Some transfer parameters relevant to the behaviour of 90Sr in the water-sediment system were evaluated: a) the radionuclide migration velocity from the water column to the bottom sediment, b) the radionuclide migration rate from bottom sediment to water, and c) the radionuclide migration rate from bottom sediment to deep sediment. The estimated values of the above parameters were 6.4 x 10(-1) m s(-1), 5.7 x 10(-10) s(-1) and 5.2 x 10(-10) s(-1), respectively. These values were compared with data obtained for some Italian lakes contaminated by 90Sr after the nuclear weapons tests fallout. The relatively low radionuclide migration from water to sediment of these lakes is reflected by the values of the ratio migration velocity/migration rate from sediment to water (4 m and 12 m) that are significantly lower than the corresponding value in the Russian lake (112 m). The peculiar hydrochemical conditions of Lake Uruskul (high pH, high mineralisation, etc.) are considered to be responsible for the high radionuclide migration from water to sediment.


Subject(s)
Models, Theoretical , Radioactive Hazard Release , Strontium/analysis , Water Pollutants, Radioactive/analysis , Environmental Monitoring , Geologic Sediments/chemistry , Hydrogen-Ion Concentration , Russia , Strontium Radioisotopes/analysis , Water Movements
4.
J Environ Radioact ; 60(3): 319-50, 2002.
Article in English | MEDLINE | ID: mdl-12054044

ABSTRACT

This paper presents results of a model test carried out within the framework of the COMETES project (EU). The aim of the work was to change the structure of the MOIRA lake model for radiocesium so that it can be applied more generally for, in principle, all types of radionuclides and heavy metals. This general lake model is used within the MOIRA decision support system (DSS; MOIRA and COMETES are acronyms for EU-projects). The model is based on a set of differential equations and a specific modelling structure. It incorporates all important fluxes to, from and within lakes in a general manner. Yet the model is driven by a minimum of variables accessible from standard maps and monitoring programs. The model can be separated into two parts, a general part with equations applicable for all types of water pollutants and a substance-specific part. This model has previously been validated for 137Cs from many lakes covering a wide domain and yielded excellent predictive power. The alterations discussed in this work are meant to be general and radiostrontium is used as a typical element. Radiostrontium is known to be more mobile than radiocesium and all abiotic parts of the model handling fixation and mobility have been altered. The new model for 90Sr has been critically tested using data from four lakes heavily contaminated with 90Sr from the Kyshtym accident in the Southern Urals, Russia, using empirical data from a period from 1958 to 1995 for 90Sr in fish (here goldfish), water and sediments.


Subject(s)
Models, Theoretical , Radioactive Fallout , Radioactive Hazard Release , Water Pollutants, Radioactive/analysis , Cesium Radioisotopes/analysis , Environmental Monitoring , Forecasting , Russia , Strontium Radioisotopes/analysis
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