Parametrization of homogeneous forested areas and effect on simulated dose rates near a nuclear research reactor

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Parametrization of homogeneous forested areas and effect on simulated dose rates near a nuclear research reactor. / Bijloos, Gunther; Camps, Johan; Tubex, Lise; Meyers, Johan.

In: Journal of environmental radioactivity, Vol. 225, 106445, 01.12.2020, p. 1-15.

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@article{770e4e75684b40838a591afa0f7b6364,
title = "Parametrization of homogeneous forested areas and effect on simulated dose rates near a nuclear research reactor",
abstract = "One of the major uncertainties in dispersion-based simulations at the local scale is the representation of terrain effects. The aim of the current study is to quantify this type of uncertainty for dose-rate predictions over a homogeneous forest cover. At the Belgian reactor BR1, situated in a forested environment, ambient gamma-doserate data from routine Ar-41 releases are available in the first 300 m from the release point. We develop a forest parameterization that meets the site-specific needs, and integrate it in different dispersion models. Using different terrain-roughness parameterizations, we compare three types of models: a dispersion model driven by a Langevin equation, an advection-diffusion model, and a Gaussian plume model as a special case of the latter one. We find that all models are biased up to a factor of four, partly due to an uncertain source strength. The dose-rate uncertainty due to the model choice is a factor of 2.2 for a stack release and a factor of 14 for a ground release.",
keywords = "Atmospheric dispersion, Dose rate, Particle model, Homogeneous forest, Terrain roughness, Model uncertainty",
author = "Gunther Bijloos and Johan Camps and Lise Tubex and Johan Meyers",
note = "Score=10",
year = "2020",
month = "12",
day = "1",
doi = "10.1016/j.jenvrad.2020.106445",
language = "English",
volume = "225",
pages = "1--15",
journal = "Journal of environmental radioactivity",
issn = "0265-931X",
publisher = "Elsevier",

}

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TY - JOUR

T1 - Parametrization of homogeneous forested areas and effect on simulated dose rates near a nuclear research reactor

AU - Bijloos, Gunther

AU - Camps, Johan

AU - Tubex, Lise

AU - Meyers, Johan

N1 - Score=10

PY - 2020/12/1

Y1 - 2020/12/1

N2 - One of the major uncertainties in dispersion-based simulations at the local scale is the representation of terrain effects. The aim of the current study is to quantify this type of uncertainty for dose-rate predictions over a homogeneous forest cover. At the Belgian reactor BR1, situated in a forested environment, ambient gamma-doserate data from routine Ar-41 releases are available in the first 300 m from the release point. We develop a forest parameterization that meets the site-specific needs, and integrate it in different dispersion models. Using different terrain-roughness parameterizations, we compare three types of models: a dispersion model driven by a Langevin equation, an advection-diffusion model, and a Gaussian plume model as a special case of the latter one. We find that all models are biased up to a factor of four, partly due to an uncertain source strength. The dose-rate uncertainty due to the model choice is a factor of 2.2 for a stack release and a factor of 14 for a ground release.

AB - One of the major uncertainties in dispersion-based simulations at the local scale is the representation of terrain effects. The aim of the current study is to quantify this type of uncertainty for dose-rate predictions over a homogeneous forest cover. At the Belgian reactor BR1, situated in a forested environment, ambient gamma-doserate data from routine Ar-41 releases are available in the first 300 m from the release point. We develop a forest parameterization that meets the site-specific needs, and integrate it in different dispersion models. Using different terrain-roughness parameterizations, we compare three types of models: a dispersion model driven by a Langevin equation, an advection-diffusion model, and a Gaussian plume model as a special case of the latter one. We find that all models are biased up to a factor of four, partly due to an uncertain source strength. The dose-rate uncertainty due to the model choice is a factor of 2.2 for a stack release and a factor of 14 for a ground release.

KW - Atmospheric dispersion

KW - Dose rate

KW - Particle model

KW - Homogeneous forest

KW - Terrain roughness

KW - Model uncertainty

UR - https://ecm.sckcen.be/OTCS/llisapi.dll/open/42312088

U2 - 10.1016/j.jenvrad.2020.106445

DO - 10.1016/j.jenvrad.2020.106445

M3 - Article

VL - 225

SP - 1

EP - 15

JO - Journal of environmental radioactivity

JF - Journal of environmental radioactivity

SN - 0265-931X

M1 - 106445

ER -

ID: 7044141