BGS Hosted Metadata
Uncertainty in Material Flow Analysis
Information used in Material Flow Analysis (MFA) is often tainted with uncertainty that is of an epistemic (related to knowledge gaps) rather than stochastic (related to random variability) nature. This paper proposes a method of adressing epistemic uncertainty in MFA reconciliation. Instead of arbitrarily selecting single probability distributions to represent the uncertain variables, available albeit scarce information is coded in the form of possibility distributions (fuzzy sets). The reconciliation problem is then solved using a linear programming method that looks for the most likely set of values that respect mass balances and constraints on parameter memberships.
Website:
Simple
- Date (Creation)
- 2013-06-24
- Date (Publication)
- 2014-06-10
- Date (Revision)
- Citation identifier
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https://www.mica-project.eu/
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MICA_B3-204
MICA WP3 2018-11-03T15:16:00 Record extracted from Batch 3 spreadsheet
- Other citation details
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The method has also been applied to the MFA of rare earths in the EU-28
- Purpose
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Data reconciliation in MFA
- Status
- Historical archive
- Point of contact
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Organisation name Individual name Electronic mail address Role BRGM
Resource provider
- Maintenance and update frequency
- Not planned
- dataCentre
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MICA
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MET4TECH
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MICA ontology (TemporalScheme)
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Recent (includes data from 2006 onwards)
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MICA ontology (DataScheme)
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General descriptive information / Paper
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- Keywords
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Requirement for data generation: Other (please specify) or unknown
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- Keywords
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Method of data or information generation: Expert consultation
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GEMET Concepts
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Exports
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GEMET Concepts
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Imports
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GEMET Concepts
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Production
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GEMET Concepts
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Reserves
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GEMET Concepts
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Resources
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GEMET Concepts
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Stocks
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GEMET Concepts
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Waste flows
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INSPIRE commodities
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Copper
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MICA ontology (DomainScheme)
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Stocks/Materials
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MICA ontology (MethodsScheme)
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Material Flow Accounting
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MICA ontology (MethodsScheme)
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Material Flow Modelling
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- Use limitation
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There are no limitations as this is a open-access methodology for addressing uncertainty in Material Flow Analysis
- Access constraints
- Other restrictions
- Use constraints
- Other restrictions
- Language
- English
- Topic category
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- Geoscientific information
- Economy
- Description
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Australia is the example for the illustration of MFA reconciliation in presence of epistemic uncertainty
- Geographic identifier
- Single country (please provide more details)
- Supplemental Information
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The data required for the methodology are data that are gathered during the MFA process (statistical data, company data, etc.)
- Hierarchy level
- Non geographic dataset
- Other
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Individual item (e.g. a one-off academic paper or single website)
Conformance result
- Title
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Data uncertainty
- Date
- Explanation
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Are any uncertainty measures provided (e.g. standard errors, confidence intervals, etc.)?
- Pass
- Yes
Conformance result
- Title
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Quality assurance procedures
- Date
- Explanation
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Are quality assurance procedures described?
- Pass
- No
Conformance result
- Title
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Information generation methods
- Date
- Explanation
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Are data or information generation methods formally described?
- Pass
- Yes
Conformance result
- Title
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Record review
- Date
- Other citation details
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Reviewed by: British Geological Survey
- Explanation
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Record validation
- Pass
- No
Conformance result
- Statement
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Information provided to quantify undertainty (e.g. kriging variances, metadata on image processing, etc.)
Metadata
- File identifier
- 24877598-39a8-41f9-9880-7253b3adebac XML
- Metadata language
- English
- Character set
- MD_CharacterSetCode_utf8
- Hierarchy level
- Non geographic dataset
- Date stamp
- 2024-11-11
- Metadata standard name
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ISO19115
- Metadata standard version
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2003/Cor.1:2006
- Metadata author
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Organisation name Individual name Electronic mail address Role British Geological Survey
Point of contact
