Managing radioactively contaminated land: a method to assist the design of long-term remediation strategies

This thesis describes the development of a system to assist the design of long-term remediation strategies for radioactively contaminated land. Existing radiological models, that estimate the uptake of radionuclides by plants and the doses arising from exposure to external radiation, were combined w...

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Main Author: Cox, Glen Michael
Format: Thesis (University of Nottingham only)
Language:English
Published: 2004
Subjects:
Online Access:https://eprints.nottingham.ac.uk/10085/
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author Cox, Glen Michael
author_facet Cox, Glen Michael
author_sort Cox, Glen Michael
building Nottingham Research Data Repository
collection Online Access
description This thesis describes the development of a system to assist the design of long-term remediation strategies for radioactively contaminated land. Existing radiological models, that estimate the uptake of radionuclides by plants and the doses arising from exposure to external radiation, were combined with a spatially implemented food-chain model, to allow the temporal and spatial variation of radionuclide transport through the terrestrial environment, and the resulting doses of exposed human populations, to be estimated. Doses are estimated using a novel method for the simulation of human populations, which includes the generation of sub-populations by Monte-Carlo sampling and consideration of the geographical origins of consumed food products. Various simulated radiological countermeasures have been incorporated into the system (e.g. clean-feeding of livestock), allowing the effects of potential remediation strategies to be assessed. Furthermore, a method has been developed which efficiently identifies the optimum set of countermeasures for a given scenario according to a defined merit function using cost benefit analysis, which can be extended to include terms that account for the preference for averting high levels of individual dose, and the social costs of a number of countermeasure side-effects (e.g. disruption of normal daily life). To assess the applicability of the system, it was used to evaluate potential remediation strategies for hypothetical, large-scale nuclear accidents within two contrasting case study sites (Cumbria, UK and Zaragoza, Spain). In both case studies the system successfully identified optimal remediation strategies which were, according to the defined merit function, significant improvements upon simple food and dose rate restriction strategies.
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format Thesis (University of Nottingham only)
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spelling nottingham-100852025-02-28T11:07:06Z https://eprints.nottingham.ac.uk/10085/ Managing radioactively contaminated land: a method to assist the design of long-term remediation strategies Cox, Glen Michael This thesis describes the development of a system to assist the design of long-term remediation strategies for radioactively contaminated land. Existing radiological models, that estimate the uptake of radionuclides by plants and the doses arising from exposure to external radiation, were combined with a spatially implemented food-chain model, to allow the temporal and spatial variation of radionuclide transport through the terrestrial environment, and the resulting doses of exposed human populations, to be estimated. Doses are estimated using a novel method for the simulation of human populations, which includes the generation of sub-populations by Monte-Carlo sampling and consideration of the geographical origins of consumed food products. Various simulated radiological countermeasures have been incorporated into the system (e.g. clean-feeding of livestock), allowing the effects of potential remediation strategies to be assessed. Furthermore, a method has been developed which efficiently identifies the optimum set of countermeasures for a given scenario according to a defined merit function using cost benefit analysis, which can be extended to include terms that account for the preference for averting high levels of individual dose, and the social costs of a number of countermeasure side-effects (e.g. disruption of normal daily life). To assess the applicability of the system, it was used to evaluate potential remediation strategies for hypothetical, large-scale nuclear accidents within two contrasting case study sites (Cumbria, UK and Zaragoza, Spain). In both case studies the system successfully identified optimal remediation strategies which were, according to the defined merit function, significant improvements upon simple food and dose rate restriction strategies. 2004 Thesis (University of Nottingham only) NonPeerReviewed application/pdf en arr https://eprints.nottingham.ac.uk/10085/1/Managing_radioactively_contaminated_land.pdf Cox, Glen Michael (2004) Managing radioactively contaminated land: a method to assist the design of long-term remediation strategies. PhD thesis, University of Nottingham. DSS Decision Support System contaminated land nuclear accident radiation protection
spellingShingle DSS
Decision Support System
contaminated land
nuclear accident
radiation protection
Cox, Glen Michael
Managing radioactively contaminated land: a method to assist the design of long-term remediation strategies
title Managing radioactively contaminated land: a method to assist the design of long-term remediation strategies
title_full Managing radioactively contaminated land: a method to assist the design of long-term remediation strategies
title_fullStr Managing radioactively contaminated land: a method to assist the design of long-term remediation strategies
title_full_unstemmed Managing radioactively contaminated land: a method to assist the design of long-term remediation strategies
title_short Managing radioactively contaminated land: a method to assist the design of long-term remediation strategies
title_sort managing radioactively contaminated land: a method to assist the design of long-term remediation strategies
topic DSS
Decision Support System
contaminated land
nuclear accident
radiation protection
url https://eprints.nottingham.ac.uk/10085/