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SUbstance flow analysis of the recycling of small waste electrical ...

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2. Background and definitions 49<br />

Some <strong>of</strong> <strong>the</strong> studies listed in Table 7 had very large system boundaries and used very rough<br />

assumptions to estimate <strong>the</strong> <strong>flow</strong>s <strong>of</strong> WEEE. Johnson et al. (2005b), for example, quantified<br />

silver in WEEE based on an approximation <strong>of</strong> <strong>the</strong> amount <strong>of</strong> silver contained in <strong>the</strong> circuit<br />

boards <strong>of</strong> discarded <strong>electrical</strong> and electronic equipment as 0.2% <strong>of</strong> <strong>the</strong> circuit boards by<br />

weight. These assumptions are accompanied by high uncertainties, as a consequence <strong>of</strong> <strong>the</strong><br />

gap <strong>of</strong> data on <strong>flow</strong>s <strong>of</strong> WEEE, as emphasized by various authors (Bertram et al. 2002; Reck<br />

et al. 2008). The data gaps and <strong>the</strong> different assumptions that had to be made also explain<br />

<strong>the</strong> diverging results. More research is, <strong>the</strong>refore, needed to bring quantitative findings on<br />

cycles <strong>of</strong> precious metals and to support <strong>the</strong> development <strong>of</strong> strategies for reducing <strong>the</strong><br />

losses <strong>of</strong> precious metals related to WEEE management.

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