Spanish methodological approach for biosphere assessment of radioactive waste disposal

被引:5
|
作者
Agueero, A. [1 ]
Pinedo, P. [1 ]
Cancio, D. [1 ]
Simon, I. [1 ]
Moraleda, M. [1 ]
Perez-Sanchez, D. [1 ]
Trueba, C. [1 ]
机构
[1] CIEMAT, DMA, Madrid 28040, Spain
关键词
performance assessment; HLW disposal; reference biosphere; long term; FEP; modelling; uncertainty/sensitivity;
D O I
10.1016/j.scitotenv.2007.05.030
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The development of radioactive waste disposal facilities requires implementation of measures that will afford protection of human health and the environment over a specific temporal frame that depends on the characteristics of the wastes. The repository design is based on a multi-barrier system: (i) the near-field or engineered barrier, (ii) far-field or geological barrier and (iii) the biosphere system. Here, the focus is on the analysis of this last system, the biosphere. A description is provided of conceptual developments, methodological aspects and software tools used to develop the Biosphere Assessment Methodology in the context of high-level waste (HLW) disposal facilities in Spain. This methodology is based on the BIOMASS "Reference Biospheres Methodology" and provides a logical and systematic approach with supplementary documentation that helps to support the decisions necessary for model development. It follows a five-stage approach, such that a coherent biosphere system description and the corresponding conceptual, mathematical and numerical models can be built. A discussion on the improvements implemented through application of the methodology to case studies in international and national projects is included. Some facets of this methodological approach still require further consideration, principally an enhanced integration of climatology, geography and ecology into models considering evolution of the environment, some aspects of the interface between the geosphere and biosphere, and an accurate quantification of environmental change processes and rates. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:36 / 47
页数:12
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