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L1644_C03.fm  Page 106  Tuesday, October 21, 2003  3:11 PM










                              TABLE 3.11
                              European Health Damage Costs Calculated with the Uniform World Model
                                             Cost (mU.S.$/kg
                                                emitted     Multiplier for site   Multiplier for stack emissions
                                 Pollutant      pollutant)  (rural ↔ urban)  (height 250 ↔ 0 m, T, v )
                                                                                            a
                              CO                  2.07           ?                  ?
                              NO x  via Nit     1.69 × 10 4   ≈ 0.7 ↔ 1.5          ≈ 1.0
                              SO 2  tot         1.22 × 10 4   ≈ 0.7 ↔ 1.5          ≈ 1.0
                              PM 10             1.36 × 10 4   ≈ 0.3 ↔ 3         ≈ 0.6 ↔ 2.0
                              As                1.50 × 10 5   ≈ 0.3 ↔ 3         ≈ 0.6 ↔ 2.0
                              Cd                1.83 × 10 5   ≈ 0.3 ↔ 3         ≈ 0.6 ↔ 2.0
                              Cr                1.23 × 10 5   ≈ 0.3 ↔ 3         ≈ 0.6 ↔ 2.0
                              Ni                2.53 × 10 3   ≈ 0.3 ↔ 3         ≈ 0.6 ↔ 2.0
                              PCDD/Fs          1.63 × 10 10   ≈ 0.3 ↔ 3         ≈ 0.6 ↔ 2.0
                              m = 10 –3
                              a  t= temperature; v = velocity
                              Source: Data taken from Rabl et al. (1998).

                                All this allows calculating potential impact scores, but not actual damages.
                             Therefore, the appropriate level of sophistication of LCIA involves quite a number
                             of issues. A major point concerns the extension of the characterization modeling to
                             include not only the effects of the substances but also their fates. Another issue
                             concerns a possible differentiation in space and time. Studies can include impact
                             models that use data at world level and do not specify time periods; in contrast,
                             more recent options involve spatial differentiation of impacts and distinguish
                             between different time periods. A further point concerns the type of modeling. More
                             sophisticated possibilities arise that take background levels of substances into
                             account and make use of nonlinear dose–response functions. An important question
                             here is whether these are real science-based thresholds, or whether these thresholds
                             are always of political origin. A further question relates to the role and practicality
                             of including uncertainty analysis.  Although sensitivity analysis is increasingly
                             included in LCA studies, this is not yet the case for uncertainty analysis. Finally,
                             there are the questions of how to apply these different options for sophistication of
                             LCIA, which applications can afford to keep it simple, and for which applications
                             a more detailed analysis is needed (Bare et al. 1999; UNEP DITE, 2003).
                                The important issue of deciding the appropriate level of sophistication is typi-
                             cally not addressed in LCA. Often, determination of the level of sophistication is
                             based on considerations that may be appropriate for a scientific point of view, but
                             which include practical reasons for limiting sophistication (e.g., the level of funding).
                             A discussion of the most appropriate ways of determining sophistication will include
                             (Bare et al. 1999; UNEP DTIE, 2003):





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