globalchange  > 气候变化与战略
DOI: 10.5194/hess-24-3097-2020
论文题名:
Interpretation of multi-scale permeability data through an information theory perspective
作者: Dell'Oca A.; Guadagnini A.; Riva M.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2020
卷: 24, 期:6
起始页码: 3097
结束页码: 3109
语种: 英语
Scopus关键词: Gas permeability ; Porous materials ; Berea sandstone ; Information contents ; Measurement scale ; Multivariate mutual information ; Mutual informations ; Porous medium ; Shannon entropy ; Spring tuff ; Information theory ; Berea Sandstone ; data interpretation ; data set ; entropy ; multivariate analysis ; porous medium ; quantitative analysis
英文摘要: We employ elements of information theory to quantify (i) the information content related to data collected at given measurement scales within the same porous medium domain and (ii) the relationships among information contents of datasets associated with differing scales. We focus on gas permeability data collected over Berea Sandstone and Topopah Spring Tuff blocks, considering four measurement scales. We quantify the way information is shared across these scales through (i) the Shannon entropy of the data associated with each support scale, (ii) mutual information shared between data taken at increasing support scales, and (iii) multivariate mutual information shared within triplets of datasets, each associated with a given scale. We also assess the level of uniqueness, redundancy and synergy (rendering, i.e., information partitioning) of information content that the data associated with the intermediate and largest scales provide with respect to the information embedded in the data collected at the smallest support scale in a triplet. © 2020 Royal Society of Chemistry. All rights reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162664
Appears in Collections:气候变化与战略

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作者单位: Dell'Oca, A., Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, 20133, Italy; Guadagnini, A., Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, 20133, Italy; Riva, M., Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, 20133, Italy

Recommended Citation:
Dell'Oca A.,Guadagnini A.,Riva M.. Interpretation of multi-scale permeability data through an information theory perspective[J]. Hydrology and Earth System Sciences,2020-01-01,24(6)
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