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Uncertainty in Material Flow Analysis Indicators at Different Spatial Levels.

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Title: Uncertainty in Material Flow Analysis Indicators at Different Spatial Levels.
Authors: Patrício, João, Kalmykova, Yuliya, Rosado, Leonardo, Lisovskaja, Vera
Source: Journal of Industrial Ecology. Oct2015, Vol. 19 Issue 5, p837-852. 16p. 4 Charts, 3 Graphs, 1 Map.
Subjects: Stock-flow analysis, Industrial ecology, Materials management, Urbanization, Measurement errors
Abstract: Material flow analysis (MFA) is a tool for research and decision support in environmental policy and management. In order to promote the use of MFA at different spatial scales, a quantification of the uncertainty in nationwide, regional, and urban MFA methodologies is provided. In particular, the impact of the input data quality on the main MFA indicators is analyzed and the sources and extent of uncertainties for different spatial scales are listed. The types, origin, and extent of the errors are described in detail and several imputation methods are explained and evaluated. By introducing a novel approach to account measurement errors in data sets with 'very few details on the measurement errors,' this article aims at contributing to the development of a standardized method to account for the uncertainty in MFA studies. This study uses the time series of MFA data for 1996-2011 at three spatial scales-nationwide (Sweden), regional (the Stockholm Region), and metropolitan (Stockholm, Gothenburg, and Malmo)-to determine how propagation of measurement errors affects the MFA results. The following MFA indicators were studied: direct material input; domestic processed output; and domestic material consumption. Generally, availability decreased as the spatial scale was lowered, whereas data errors increased. In the specific case of Sweden, the data on freight transport by rail and on waste produced by economic activities at the regional and metropolitan level should be improved. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Industrial Ecology is the property of Wiley-Blackwell 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.)
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  Label: Title
  Group: Ti
  Data: Uncertainty in Material Flow Analysis Indicators at Different Spatial Levels.
– Name: Author
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  Data: <searchLink fieldCode="AR" term="%22Patrício%2C+João%22">Patrício, João</searchLink><br /><searchLink fieldCode="AR" term="%22Kalmykova%2C+Yuliya%22">Kalmykova, Yuliya</searchLink><br /><searchLink fieldCode="AR" term="%22Rosado%2C+Leonardo%22">Rosado, Leonardo</searchLink><br /><searchLink fieldCode="AR" term="%22Lisovskaja%2C+Vera%22">Lisovskaja, Vera</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Industrial+Ecology%22">Journal of Industrial Ecology</searchLink>. Oct2015, Vol. 19 Issue 5, p837-852. 16p. 4 Charts, 3 Graphs, 1 Map.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Stock-flow+analysis%22">Stock-flow analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+ecology%22">Industrial ecology</searchLink><br /><searchLink fieldCode="DE" term="%22Materials+management%22">Materials management</searchLink><br /><searchLink fieldCode="DE" term="%22Urbanization%22">Urbanization</searchLink><br /><searchLink fieldCode="DE" term="%22Measurement+errors%22">Measurement errors</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Material flow analysis (MFA) is a tool for research and decision support in environmental policy and management. In order to promote the use of MFA at different spatial scales, a quantification of the uncertainty in nationwide, regional, and urban MFA methodologies is provided. In particular, the impact of the input data quality on the main MFA indicators is analyzed and the sources and extent of uncertainties for different spatial scales are listed. The types, origin, and extent of the errors are described in detail and several imputation methods are explained and evaluated. By introducing a novel approach to account measurement errors in data sets with 'very few details on the measurement errors,' this article aims at contributing to the development of a standardized method to account for the uncertainty in MFA studies. This study uses the time series of MFA data for 1996-2011 at three spatial scales-nationwide (Sweden), regional (the Stockholm Region), and metropolitan (Stockholm, Gothenburg, and Malmo)-to determine how propagation of measurement errors affects the MFA results. The following MFA indicators were studied: direct material input; domestic processed output; and domestic material consumption. Generally, availability decreased as the spatial scale was lowered, whereas data errors increased. In the specific case of Sweden, the data on freight transport by rail and on waste produced by economic activities at the regional and metropolitan level should be improved. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Industrial Ecology is the property of Wiley-Blackwell 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.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1111/jiec.12336
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 837
    Subjects:
      – SubjectFull: Stock-flow analysis
        Type: general
      – SubjectFull: Industrial ecology
        Type: general
      – SubjectFull: Materials management
        Type: general
      – SubjectFull: Urbanization
        Type: general
      – SubjectFull: Measurement errors
        Type: general
    Titles:
      – TitleFull: Uncertainty in Material Flow Analysis Indicators at Different Spatial Levels.
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            NameFull: Patrício, João
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            NameFull: Kalmykova, Yuliya
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            NameFull: Rosado, Leonardo
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            NameFull: Lisovskaja, Vera
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          Dates:
            – D: 01
              M: 10
              Text: Oct2015
              Type: published
              Y: 2015
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              Value: 19
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              Value: 5
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            – TitleFull: Journal of Industrial Ecology
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