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1.
Health Phys ; 117(4): 408-415, 2019 10.
Artículo en Inglés | MEDLINE | ID: mdl-31033709

RESUMEN

Dose assessment for deposited radionuclides often requires estimates of air concentrations that are derived from measured soil concentrations. For this, dose assessors typically use literature resuspension values that, while empirically based, can vary by orders of magnitude making it difficult to provide accurate dose estimates. Despite the complexities of the physical processes involved in resuspension, the models generally used for dose assessment are relatively simplistic and rarely are the models validated for a specific site, thus making prediction of air concentrations or airborne emissions highly uncertain. Additionally, the size of the contaminated area can have an impact on downwind concentrations, yet literature values do not account for smaller-sized contaminated sites adding additional uncertainty. To test resuspension models for soil-bound radionuclides at finite and infinite spatial scales, measurements of soil and air concentrations are made at (1) a location downwind of a former outfall where Pu was released into the environment (a finite site), and (2) uncontaminated locations where regional air sampling provides background measurements of naturally occurring U in sampled dust (an infinite site). Measured air concentrations were compared to those predicted using the resuspension factor model and the mass loading model. An area factor was applied to the smaller contaminated site to account for dilution of dust from the contaminated site with dust originating from offsite locations. Results show that when properly parameterized to site conditions, resuspension models can predict air concentrations to within a factor of 10.


Asunto(s)
Contaminantes Radiactivos del Aire/análisis , Modelos Teóricos , Plutonio/análisis , Contaminantes Radiactivos del Suelo/análisis , Humanos , Radiometría
2.
Health Phys ; 112(4): 414-419, 2017 04.
Artículo en Inglés | MEDLINE | ID: mdl-28234703

RESUMEN

The U.S. Environmental Protection Agency dispersion model, CAP-88, calculates ground-level dose using the ground-level concentration and the semi-infinite cloud approximation. Doses can be underestimated for elevated plumes during stable atmospheric conditions at receptor locations within a kilometer downwind of a stack. The purpose of this paper is to identify when CAP-88 calculations of gamma dose from cloudshine are inaccurate and provide estimates of the inaccuracy. The method used compares CAP-88 estimates with Monte Carlo N-Particle (MCNP) estimates. Comparisons were made at distances of 800 m and 3,000 m downwind of the stack and for plume heights from 0 to 50 m. For these conditions, the annual dose calculated by CAP-88 is greater than or equal to that calculated by MCNP.


Asunto(s)
Contaminantes Radiactivos del Aire/análisis , Modelos Estadísticos , Exposición a la Radiación/análisis , Monitoreo de Radiación/métodos , Radioisótopos/análisis , Espectrometría gamma/métodos , Simulación por Computador , Dosis de Radiación , Reproducibilidad de los Resultados , Sensibilidad y Especificidad , Programas Informáticos , Estados Unidos , Tiempo (Meteorología)
3.
Health Phys ; 112(5): 445-450, 2017 05.
Artículo en Inglés | MEDLINE | ID: mdl-28350698

RESUMEN

Standard plume models can underestimate the gamma-ray dose when most of the radioactive material is above the heads of the receptors. Typically, a model is used to calculate the air concentration at the height of the receptor, and the dose is calculated by multiplying the air concentration by a concentration-to-dose conversion factor. Models indicate that if the plume is emitted from a stack during stable atmospheric conditions, the lower edges of the plume may not reach the ground, in which case both the ground-level concentration and the dose are usually reported as zero. However, in such cases, the dose from overhead gamma-emitting radionuclides may be substantial. Such underestimates could impact decision making in emergency situations. The Monte Carlo N-Particle code, MCNP, was used to calculate the overhead shine dose and to compare with standard plume models. At long distances and during unstable atmospheric conditions, the MCNP results agree with the standard models. At short distances, where many models calculate zero, the true dose (as modeled by MCNP) can be estimated with simple equations.


Asunto(s)
Contaminación Radiactiva del Aire/estadística & datos numéricos , Rayos gamma , Modelos Estadísticos , Exposición a la Radiación/estadística & datos numéricos , Liberación de Radiactividad Peligrosa/estadística & datos numéricos , Radioisótopos/análisis , Aire/análisis , Simulación por Computador , Humanos , Dosis de Radiación , Viento
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