Page 354 - Materials Chemistry, Second Edition
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338  5 Life Cycle Interpretation, Reporting and Critical Review

                    provided by Huijbregts. 19)  For real LCAs, this method, which also neglects figure
                    margins and only refers to ‘bigger or smaller’, is rarely applied.
                      The methods described here were supplemented by two others (key issue analysis
                    and structural analysis) and were tested on the ecoinvent’96 data record. 20)  They
                    have also been implemented in the educational software ‘Chain Management by
                    Life Cycle Assessment (CMLCA)’. 21)
                      The issue of data format should rather be part of the inventory (see Section 3.4)
                    but must be considered in the interpretation. Data formats are often provided
                    by data bases and software. For newer applications, they include specifications
                    on statistical distributions of input data. 22)  The quality of statistical specifications
                    must, however, always be critically reflected; standard deviations, for instance, can
                    be approximated by semi-quantitative procedures.

                    5.3.3
                    Non-numerical Methods

                    Mathematical methods cannot solve problems that result from value choices:
                    however, increasing the significance of the greenhouse effect or of land use can
                    have a higher impact on conclusions and recommendations than an increase of
                    the significance threshold from 0.05 to 0.2. Therefore non-numerical methods are
                    a fixed part of the interpretation.
                      Verbal-argumentative interpretation of quantitative and semi-quantitative results
                    are mainly part of non-numerical methods. Thus, in spite of numerical auxiliary
                    tools, it is often very difficult to provide numerical limits which, if exceeded, imply
                    an insure distinction of results for statements like ‘A is better or just as good as
                    B’. Here it can be verbally referred to the context of earlier experiences or to issues
                    within the same study. It is the responsibility of the critical review to question
                    these statements, which are particularly suited for a ‘whitewashing’ of results. It
                    should, however, not be ignored that seemingly objective figures can be used for
                    swindling as well; this is just not as evident in times such as ours, bent on figures
                    and numbers.


                    5.4
                    Reporting

                    The LCA framework ISO 14040 23)  states as follows in Chapter 6:

                        A reporting strategy is an integral part of an LCA. An effective report should
                        address the different phases of the study. … Results and conclusions of the LCA

                    19)  Huijbregts (1998) and Heijungs and Kleijn (2001).
                    20)  Heijung and Suh (2002) and Heijungs et al. (2005).
                    21)  Chain Management by Life Cycle Assessment (CMLCA); http://www.leidenuniv.nl/cml/ssp/
                        software/cmlca.
                    22)  Heijungs and Frischknecht (2005).
                    23)  ISO (2006a).
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