The link between data choices and reality in life cycle assessment modelling of waste management technologies
2016
- 35Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage35
- Abstract Views35
Abstract Description
Environmental models, e.g. life cycle assessment (LCA), are widely used to support decision-making. A model is a way to try and reproduce reality, it is therefore important to consider the reliability and usefulness of this representation of reality. In an assessment it is therefore important to consider the influence by the representativeness of the input data and the model itself, as this will control how wide or narrow the result interpretation can become.There are specific challenges for LCA of waste management systems related to the collection of representative data. Site-specific conditions affect the quality of the waste and the waste composition due to local waste separation and collection schemes, why there is a high need for site-specific data.Please click Additional Files below to see the full abstract.
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