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Descripción
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| The accidental release of radioactive substance into the environment leads to the necessity of applying suitable countermeasures for the restoration of the polluted environment. However, despite their obvious benefits, such interventions may result in detrimental effects of economic, ecological and social nature that must be carefully evaluated. MOIRA¿PLUS is a PC-based user-friendly, computerised Decision Support System (DSS) that helps decision makers to choose optimal countermeasure strategies for different kinds of aquatic ecosystems and contamination scenarios. The DSS MOIRA-PLUS is based on: a) Validated models to evaluate the behaviour of radionuclides in contaminated water bodies and biota and to assess the effect of countermeasures on contamination levels; b) Models to assess the radiation dose to people and biota (fish) by relevant exposure pathways, the effect of countermeasures, and the associated economic impact; c) A Multi-Attribute value Analysis (MAA) module to evaluate the effectiveness of different countermeasure strategies by accounting for the social, the ecological and economic detriments and costs in relation to their benefits. The software system consists of: ¿ Software realisation of the mathematical models; ¿ A GIS (Geographic Information System) and associated databases to select the aquatic system of interest and if necessary the default environmental data required to run the models; ¿ A graphical user interface; ¿ An operating system connecting all the above parts. The flexible structures of the environmental models implemented in MOIRA-PLUS DSS gives the potential for the application of these models to several other types of pollutants, such as heavy metals. The DSS can be applied to complex water systems comprising lakes, reservoirs and rivers. In this paper the main principles underpinning the functioning of the DSS MOIRA-PLUS will be described and discussed. | |
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Internacional
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Si |
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JCR del ISI
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Si |
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Título de la revista
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COMPUTERS AND GEOSCIENCES |
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ISSN
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0098-3004 |
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Factor de impacto JCR
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1,188 |
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Información de impacto
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Volumen
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35 |
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DOI
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10.1016/j.cageo.2008.03.008 |
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Número de revista
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5 |
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Desde la página
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880 |
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Hasta la página
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896 |
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Mes
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MAYO |
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Ranking
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