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Meuse/Haute-Marne centre:next steps towards a deep disposal facility
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作者 J.Delay P.Lebon H.Rebours 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE 2010年第1期52-70,共19页
This paper presents the main results obtained during a decade of scientific activities in the Meuse/Haute-Marne Underground Research Laboratory (URL) located on the eastern boundary of the Paris Basin, in the Callov... This paper presents the main results obtained during a decade of scientific activities in the Meuse/Haute-Marne Underground Research Laboratory (URL) located on the eastern boundary of the Paris Basin, in the Callovo-Oxfordian clay rock formation. The URL was built in the framework of ANDRA's research program into the feasibility of a reversible deep geological disposal of high-level and intermediate-level long-lived radioactive (HL, ILLL) waste. Its underground drifts have been used to study a 160-million-year old clay layer. The 2006 Planning Act adopted this disposal concept as the reference solution for the long-term management of HL and ILLL radioactive waste. Today, research is continuing into the design and sitting of the disposal facility which could be commissioned by 2025 if its license is granted in 2016. Through these programs, the laboratory will help ANDRA develop a concrete approach with a view to proposing suitable architectures and management methods for a deep disposal facility, to allow by 2016 the decision for the start of the construction of the shafts and drifts of the new disposal facility. 展开更多
关键词 meuse/Haute-Marne underground research laboratory Callovo-Oxfordian clay argillaceous rock experimental program deep disposal facility
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基于多尺度地理环境变量的随机森林空间推测建模
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作者 吴慧 吴田军 《统计学与应用》 2023年第6期1775-1784,共10页
在数据科技快速发展的时代下,空间推测(Spatial Prediction)是指利用空间理论技术对空间对象进行建模、描述和表示,并以此为基础对空间对象间的空间关系进行定性或定量分析和处理的过程。机器学习方法作为空间智能领域的常用推测方法之... 在数据科技快速发展的时代下,空间推测(Spatial Prediction)是指利用空间理论技术对空间对象进行建模、描述和表示,并以此为基础对空间对象间的空间关系进行定性或定量分析和处理的过程。机器学习方法作为空间智能领域的常用推测方法之一,它能够融合多维辅助变量的信息,提高模型的推测精度,但是不能有效结合空间位置关系信息来进一步提高推测精度。本文基于随机森林空间推测框架,将协变量的多尺度特征图层与随机森林空间推测算法结合,提出了基于多尺度地理环境变量的随机森林空间推测建模方法。应用Meuse数据集对所提出的方法进行对比实验,并与随机森林方法、随机森林的空间推测方法相对比,检验所提方法的推测精度。实验表明,本文提出的基于多尺度地理环境变量的随机森林空间推测建模方法相较于RF、RFsp-MS (k = 0)、RFsp-MS (k = 1)、RFsp-MS (k = 2),可获得更加精准的空间推测结果,土壤制图结果也具有更加合理的空间分布和丰富的细节信息。因此,多尺度地理环境变量的随机森林空间推测方法能够有效结合自变量信息与空间位置关系信息,有效提高土壤变量推测的精度,同时能够输出有效的不确定性表达信息。 展开更多
关键词 空间推测 随机森林 多尺度 土壤锌浓度 不确定性 meuse数据集
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Competition for shelter between four invasive gobiids and two native benthic fish species 被引量:1
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作者 N. VAN KESSEL M. DORENBOSCH +2 位作者 M.R.M. DE BOER R.S.E.W. LEUVEN G. VAN DER VELDE 《Current Zoology》 SCIE CAS CSCD 北大核心 2011年第6期844-851,共8页
Recent invasions by non-native gobiid fish species that are ongoing in the Western European rivers Rhine and Meuse, will lead to interactions with native benthic fish species. Since both non-native gobiids and native ... Recent invasions by non-native gobiid fish species that are ongoing in the Western European rivers Rhine and Meuse, will lead to interactions with native benthic fish species. Since both non-native gobiids and native benthic species are bottom dwelling species with a preference for shelter during at least part of their life cycle, it is likely that competition for shelter will occur between these non-native and native species when shelter is a limiting factor. To investigate the importance of this mecha- nism for species replacements, various habitat choice experiments were conducted between two common native benthic fish spe- cies (Cottus perifretum and Barbatula barbatula) and four invasive non-native gobiid species (Proterorhinus semilunaris, Neogo- bius melanostomus, N. kessleri and N. fluviatilis). The first series of single specimen experiments determined the habitat choice of each individual fish species. In a second series of competition experiments, shifts in habitat choice in comparison with the previ- ously observed habitat choice, were determined when a native benthic fish species co-occurred with non-native gobiid species. Native C. perifretum displayed a significant shift in habitat choice in co-occurrence with the gobiids N. kessleri or P. semilunaris. C. perifretum was outcompeted and moved from the available shelter place to less preferred habitat types. During the competition experiments no change in habitat choice of B. barbatula was shown. Our study therefore suggests that competition for shelter is likely to occur in rivers invaded by N. kessleri and P. semilunaris at sites where shelter is limiting 展开更多
关键词 BULLHEAD Exotic species Habitat choice Invasive gobies Rivers Rhine and meuse Stone loach
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