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L1644_C07.fm  Page 301  Monday, October 20, 2003  12:10 PM









                                    directions is assumed to be  valid.  The height of the mixing layer is calculated
                                    according to VDI 3782/1, which is a German guideline on dispersion modeling. The
                                    uncertainties introduced are therefore considered to be small. The surface roughness
                                    is chosen as one value for the whole of Catalonia as a rural value, which is assumed
                                    to be a good estimate for the general settlement structure of Catalonia.
                                       Classes according to the population density are formed. It is argued that the
                                    statistical basis is good enough to calculate the radial population density and that
                                    it is valid to use an interval of 10 km for the annuli considered because the biggest
                                    municipality in Catalonia has a smaller surface. However, reducing the resolution
                                    outside Catalonia to the district level increases the uncertainties. It is assumed that
                                    this is a reasonable procedure because it only concerns a limited number of
                                    adjacent districts to Catalonia and, with respect to working loads, this is a feasible
                                    way.

                                    7.7.7.4  Consequence and Effect Analysis

                                    One of the most important sources of uncertainties relates to the dose–response and
                                    exposure–response functions of pollutants further described in  Chapter 4.  These
                                    functions determine the consequence and effect analysis. Therefore, uncertainties
                                    due to these functions directly apply to the endpoint-related indicators or damage
                                    estimates (physical impacts such as cancer cases, as well as YLD, YOLL, DALY
                                    and external environmental costs). If one wants to avoid these  uncertainties, the
                                    impact indicators can be applied as “pressure on human health.” However, in order
                                    to take into account the differences in the toxicity of the pollutants and sensitivity
                                    to human health, dose–response and exposure–response must be considered. For
                                    instance, the EcoSense database offers a variety of dose–response functions that can
                                    be chosen according to the value preferences of the user and which show huge
                                    relative differences. More functions can be obtained from other public health or
                                    environmental authorities.
                                       YLD, YOLL, DALY and external environmental costs are determined by sub-
                                    jective judgment that directly influences the outcome. In order  to increase the
                                    transparency and reduce the subjective influence by the methodology developer, this
                                    work offers several options. For uncertainties about YLD, YOLL and DALY values
                                    for several pollutants, see Hofstetter (1998). For more information on uncertainties
                                    in the evaluation of external environmental costs, see the EC (2000).



                                    7.8 QUESTIONS AND EXERCISES

                                       1. Why is a differentiation between near (<100 km) and far (>100 km)
                                          necessary for the impact assessment in the case of air emissions?
                                       2. How is the fate analysis carried out for the presented site-dependent
                                          approach?
                                       3. Explain how the exposure analysis is performed for the presented site-
                                          dependent approach.



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