Uncertainty in Material Flow Analysis Indicators at Different Spatial Levels

Title
Uncertainty in Material Flow Analysis Indicators at Different Spatial Levels
Author(s)
João Patrício
Yuliya Kalmykova
Leonardo Rosado
Vera Lisovskaja
Year
2015
Source
Journal of Industrial Ecology, Pages n/a--n/a
DOI
10.1111/jiec.12336
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.
More Information
http://dx.doi.org/10.1111/jiec.12336

Tags

Back Incorrect or incomplete information? Click here to report this.

This website provides meta data on papers and other publications, with links to the original publications. These papers may be copyrighted or otherwise protected by the publishing journal or author. Some journals provide open access to their publications. When possible we will try to include abstracts and more details for open access publications. For more details, follow the link to the original document and/or contact the publisher/author.