Visualization for better understanding global sensitivity analysis results: The case of safety assessment of radioactive waste disposal.
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| Title: | Visualization for better understanding global sensitivity analysis results: The case of safety assessment of radioactive waste disposal. |
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| Authors: | Svitelman, Valentina1 (AUTHOR) svitelman@ibrae.ac.ru, Saveleva, Elena1 (AUTHOR) |
| Source: | Journal of Environmental Radioactivity. Sep2024, Vol. 278, pN.PAG-N.PAG. 1p. |
| Subjects: | Sensitivity analysis |
| Abstract: | Sensitivity analysis answers questions about the influence of parameters on the simulation results and plays a significant role in the development of environmental models by helping to understand the relations within the model and test its adequacy. Comparison of various sensitivity analysis approaches is often also quite useful because different methods employ different measures for ranking model parameters and their unconformities and disagreements provide additional information on model behavior. The visual representation of numerical results is crucial for their correct interpretation, and at first sight, the visualizations for the sensitivity analysis should be quite universal because in most cases an outcome of sensitivity analysis is the same: a set of indices measuring the significance of model inputs for the selected output. Surprisingly, it is not so straightforward. This paper compares visualization types suitable for the graphical representation of the sensitivity indices and demonstrates their benefits and caveats in different cases. [Display omitted] • The paper compares visualization types suitable for the graphical representation of the sensitivity indices. • The visualization choice while dealing with more than one set of sensitivity indices depends on the message to be communicated. • While bar charts are universal during the analysis, stacked bars and heatmap are a better fit for conveying final results. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Environmental Radioactivity is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 179061311 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Visualization for better understanding global sensitivity analysis results: The case of safety assessment of radioactive waste disposal. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Svitelman%2C+Valentina%22">Svitelman, Valentina</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> svitelman@ibrae.ac.ru</i><br /><searchLink fieldCode="AR" term="%22Saveleva%2C+Elena%22">Saveleva, Elena</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Environmental+Radioactivity%22">Journal of Environmental Radioactivity</searchLink>. Sep2024, Vol. 278, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Sensitivity+analysis%22">Sensitivity analysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Sensitivity analysis answers questions about the influence of parameters on the simulation results and plays a significant role in the development of environmental models by helping to understand the relations within the model and test its adequacy. Comparison of various sensitivity analysis approaches is often also quite useful because different methods employ different measures for ranking model parameters and their unconformities and disagreements provide additional information on model behavior. The visual representation of numerical results is crucial for their correct interpretation, and at first sight, the visualizations for the sensitivity analysis should be quite universal because in most cases an outcome of sensitivity analysis is the same: a set of indices measuring the significance of model inputs for the selected output. Surprisingly, it is not so straightforward. This paper compares visualization types suitable for the graphical representation of the sensitivity indices and demonstrates their benefits and caveats in different cases. [Display omitted] • The paper compares visualization types suitable for the graphical representation of the sensitivity indices. • The visualization choice while dealing with more than one set of sensitivity indices depends on the message to be communicated. • While bar charts are universal during the analysis, stacked bars and heatmap are a better fit for conveying final results. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Environmental Radioactivity is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=179061311 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jenvrad.2024.107483 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Sensitivity analysis Type: general Titles: – TitleFull: Visualization for better understanding global sensitivity analysis results: The case of safety assessment of radioactive waste disposal. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Svitelman, Valentina – PersonEntity: Name: NameFull: Saveleva, Elena IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 0265931X Numbering: – Type: volume Value: 278 Titles: – TitleFull: Journal of Environmental Radioactivity Type: main |
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