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1.
Health Phys ; 122(4): 502-507, 2022 04 01.
Article in English | MEDLINE | ID: mdl-35125408

ABSTRACT

ABSTRACT: This paper reports the study of the vertical migration of radionuclides in soils at test sites adjacent to the 30-km Chernobyl Exclusion Zone. The results of this effort demonstrate that the migration processes for studied pollution occur similarly to the fuel fallout behavior at the vicinity of the Chernobyl Nuclear Power Plant (ChNPP) Unit 4. It was also observed that the main fallout component, 137Cs, originated from aerosol fallout and was bound in the surface layer. The authors determined a significant increase of 60Co, 94Nb, and 241Am radionuclide concentrations in soils near the ChNPP Unit 4 and suggested their appearance due to the installation of the New Safe Confinement. Niobium-94 activity is proposed as a marker for monitoring the "fresh" fallout in the Chernobyl Exclusion Zone.


Subject(s)
Chernobyl Nuclear Accident , Radioactive Fallout , Soil Pollutants, Radioactive , Americium/analysis , Cesium Radioisotopes/analysis , Nuclear Power Plants , Power Plants , Radioactive Fallout/analysis , Soil Pollutants, Radioactive/analysis , Ukraine
2.
Health Phys ; 120(4): 378-386, 2021 04 01.
Article in English | MEDLINE | ID: mdl-33350713

ABSTRACT

ABSTRACT: Some basic methods of measuring radiostrontium activity by spectroscopic methods are considered in this study. These methods of assessing beta spectra and the characteristic radiation that accompanies the breakdown of radiostrontium are described. The sensitivity of these methods based on the assessments of beta spectra both after radiochemical procedures and without radiochemistry is presented. The objective of this paper is to review the spectroscopic procedures that have been developed and used to determine radiostrontium in various matrices; they are focused on modern methods. Samples of fuel particles of different origins, obtained from the Chernobyl Nuclear Power Plant Unit 4, were analyzed using the methods presented in this study.


Subject(s)
Chernobyl Nuclear Accident , Nuclear Power Plants , Spectrum Analysis
3.
J Radiol Prot ; 32(2): 131-45, 2012 Jun.
Article in English | MEDLINE | ID: mdl-22555190

ABSTRACT

This paper provides a summary of recent trials which took place at the US Department of Energy Oak Ridge National Laboratory (ORNL) during December 2010. The overall objective for the trials was to demonstrate that a newly developed technology could be used to locate, quantify and characterise the radiological hazards within two separate ORNL hot cells (B and C). The technology used, known as RadBall(®), is a novel, passive, non-electrical polymer based radiation detection device which provides a 3D visualisation of radiation from areas where effective measurements have not been previously possible due to lack of access. This is particularly useful in the nuclear industry prior to the decommissioning of facilities where the quantity, location and type of contamination are often unknown. For hot cell B, the primary objective of demonstrating that the technology could be used to locate, quantify and characterise three radiological sources was met with 100% success. Despite more challenging conditions in hot cell C, two sources were detected and accurately located. To summarise, the technology performed extremely well with regards to detecting and locating radiation sources and, despite the challenging conditions, moderately well when assessing the relative energy and intensity of those sources. Due to the technology's unique deployability, non-electrical nature and its directional awareness the technology shows significant promise for the future characterisation of radiation hazards prior to and during the decommissioning of contaminated nuclear facilities.


Subject(s)
Environmental Exposure/analysis , Equipment Contamination , Imaging, Three-Dimensional/instrumentation , Nuclear Power Plants/instrumentation , Polymers/radiation effects , Radiation Monitoring/instrumentation , Radioactive Pollutants/analysis , Electronics , Equipment Design , Equipment Failure Analysis , Radiation Dosage , Radioactive Hazard Release , Reproducibility of Results , Sensitivity and Specificity
4.
Health Phys ; 99(5): 639-48, 2010 Nov.
Article in English | MEDLINE | ID: mdl-20938234

ABSTRACT

Decommissioning of nuclear power plants and other nuclear fuel cycle facilities associated with residual radioactive contamination of their territories is an imperative issue. Significant problems may result from decommissioning of cooling ponds with residual radioactive contamination. The Chernobyl Nuclear Power Plant (ChNPP) Cooling Pond is one of the largest self-contained water reservoirs in the Chernobyl region and Ukrainian and Belorussian Polesye region. The 1986 ChNPP Reactor Unit Number Four significantly contaminated the ChNPP Cooling Pond. The total radionuclide inventory in the ChNPP Cooling Pond bottom deposits are as follows: ¹³7Cs: 16.28 ± 2.59 TBq; 9°Sr: 2.4 ± 0.48 TBq; and ²³9+²4°Pu: 0.00518 ± 0.00148 TBq. The ChNPP Cooling Pond is inhabited by over 500 algae species and subspecies, over 200 invertebrate species, and 36 fish species. The total mass of the living organisms in the ChNPP Cooling Pond is estimated to range from about 60,000 to 100,000 tons. The territory adjacent to the ChNPP Cooling Pond attracts many birds and mammals (178 bird species and 47 mammal species were recorded in the Chernobyl Exclusion Zone). This article describes several options for the ChNPP Cooling Pond decommissioning and environmental problems associated with its decommissioning. The article also provides assessments of the existing and potential exposure doses for the shoreline biota. For the 2008 conditions, the estimated total dose rate values were 11.4 40 µGy h⁻¹ for amphibians, 6.3 µGy h⁻¹ for birds, 15.1 µGy h⁻¹ for mammals, and 10.3 µGy h⁻¹ for reptiles, with the recommended maximum dose rate being equal to 40 µGy h⁻¹. However, drying the ChNPP Cooling Pond may increase the exposure doses to 94.5 µGy h⁻¹ for amphibians, 95.2 µGy h⁻¹ for birds, 284.0 µGy h⁻¹ for mammals, and 847.0 µGy h⁻¹ for reptiles. All of these anticipated dose rates exceed the recommended values.


Subject(s)
Chernobyl Nuclear Accident , Environmental Pollution/statistics & numerical data , Nuclear Power Plants , Temperature , Animals , Ecosystem , Environmental Exposure/adverse effects , Radiation Dosage
5.
Health Phys ; 95(6): 761-5, 2008 Dec.
Article in English | MEDLINE | ID: mdl-19001903

ABSTRACT

Georgia has geological formations with high uranium content, and several buildings are built with local materials. This can create potentially high radon exposures. Consequently, studies to mitigate these exposures have been started. This study presents a preliminary investigation of radon in Tbilisi, the capital of Georgia. An independent radiological monitoring program in Georgia has been initiated by the Radiocarbon and Low-Level Counting Section of I. Javakhishvili Tbilisi State University with the cooperation of the Environmental Monitoring Laboratory of the Physics/Health Physics Department at Idaho State University. At this initial stage the E-PERM systems and GammaTRACER were used for the measurement of gamma exposure and radon concentrations in air and water. Measurements in Sololaki, a densely populated historic district of Tbilisi, revealed indoor radon (222Rn) concentrations of 1.5-2.5 times more than the U.S. Environmental Protection Agency action level of 148 Bq m(-3) (4 pCi L(-1)). Moreover, radon-in-air concentrations of 440 Bq m(-3) and 3,500 Bq m(-3) were observed at surface borehole openings within the residential district. Measurements of water from various tap water supplies displayed radon concentrations of 3-5 Bq L(-1) while radon concentrations in water from the hydrogeological and thermal water boreholes were 5-19 Bq L(-1). In addition, the background gamma absorbed dose rate in air ranged of 70-115 nGy h(-1) at the radon test locations throughout the Tbilisi urban environment.


Subject(s)
Cities , Radon/analysis , Air/analysis , Georgia (Republic) , Humans , Radiologic Health/statistics & numerical data , Risk , Urban Health/statistics & numerical data , Water/chemistry
6.
Physiol Meas ; 24(4): N15-22, 2003 Nov.
Article in English | MEDLINE | ID: mdl-14658784

ABSTRACT

Endoscopic ultrasound is a unique tool to acquire in vivo data on alimentary tract wall thicknesses of sufficient resolution needed in radiation dosimetry studies. Through their different echo texture and intensity, five layers of differing echo patterns for superficial mucosa, deep mucosa, submucosa, muscularis externa and serosa/adventitia exist within the walls of organs composing the alimentary tract. In this study, retrospective image analyses of patient video data were made for ten examinations of the stomach and eight examinations of the rectum covering a range of patient ages. Thicknesses for stomach mucosa ranged from 1030 +/- 130 microm to 1640 +/- 80 microm (total stomach wall thicknesses from 2.80 +/- 0.12 to 4.23 +/- 0.03 mm). Measurements made for the rectal images revealed rectal mucosal thicknesses from 660 +/- 50 microm to 1130 +/- 250 microm (total rectal wall thicknesses from 2.28 +/- 0.05 to 3.55 +/- 0.43 mm). The mucosa accounted for approximately 32 +/- 7% and approximately 32 +/- 8% of the total thickness of the stomach and rectal wall, respectively. These values can thus be utilized to investigate uncertainties in alimentary tract dosimetry that are based upon fixed reference individual definitions of organ wall structure.


Subject(s)
Gastric Mucosa/anatomy & histology , Gastric Mucosa/diagnostic imaging , Intestinal Mucosa/anatomy & histology , Intestinal Mucosa/diagnostic imaging , Rectum/anatomy & histology , Rectum/diagnostic imaging , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Retrospective Studies , Ultrasonography , Videotape Recording
7.
Health Phys ; 81(4): 378-94, 2001 Oct.
Article in English | MEDLINE | ID: mdl-11569633

ABSTRACT

Risk assessment associated with the inhalation of radioactive aerosols requires as an initial step the determination of particle deposition within the various anatomic regions of the respiratory tract. The model outlined in ICRP Publication 66 represents to date one of the most complete overall descriptions of not only particle deposition, but of particle clearance and local radiation dosimetry of lung tissues. In this study, a systematic review of the deposition component within the ICRP 66 respiratory tract model was conducted in which probability density functions were assigned to all input parameters. These distributions were subsequently incorporated within a computer code LUDUC (LUng Dose Uncertainty Code) in which Latin hypercube sampling techniques are used to generate multiple (e.g., 1,000) sets of input vectors (i.e., trials) for all of the model parameters needed to assess particle deposition within the extrathoracic (anterior and posterior), bronchial, bronchiolar, and alveolar-interstitial regions of the ICRP 66 respiratory tract model. Particle deposition values for the various trial simulations were shown to be well described by lognormal probability distributions. Geometric mean deposition fractions from LUDUC were found to be within approximately +/- 10% of the single-value estimates from the LUDEP computer code for each anatomic region and for particle diameters ranging from 0.001 to 50 microm. In all regions of the respiratory tract, LUDUC simulations for an adult male at light exertion show that uncertainties in particle deposition fractions are distributed only over a range of about a factor of approximately 2-4 for particle sizes between 0.005 to 0.2 microm. Below 0.005 microm, uncertainties increase only for deposition within the alveolar region. At particle sizes exceeding 1 microm, uncertainties in the deposition fraction within the extrathoracic regions are relatively small, but approach a factor of 20 for deposition in the bronchial region. Deposition fractions for particles above 1 microm become very uncertain within the deeper regions of the lungs (bronchiolar and alveolar-interstitial).


Subject(s)
Lung , Models, Biological , Radiation Protection/standards , Radiometry/methods , Respiratory System , Body Height , Body Mass Index , Computer Simulation , Humans , Lymph Nodes , Probability , Radiation Monitoring/methods , Software , United States
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