During the last century, the consumption of materials for human needs increased by several orders of magnitude, even for non-renewable materials such as metals. Some data on annual consumption (input) and recycling/waste (output) can often be found in the federal statistics, but a clear picture of the main flows is missing. A dynamic material flow model is developed for the example of copper in Switzerland in order to simulate the relevant copper flows and stocks over the last 150 years. The model is calibrated using data from statistical and published sources as well as from interviews and measurements. A simulation of the current state (2000) is compared with data from other studies. The results show that Swiss consumption and losses are both high, at a level of about 8 and 2 kg/(cap year), respectively, or about three times higher than the world average. The model gives an understanding of the flows and stocks and their interdependencies as a function of time. This is crucial for materials whose consumption dynamics are characterised by long lifetimes and hence for relating the current output to the input of the whole past. The model allows a comprehensive discussion of possible measures to reduce resource use and losses to the environment. While increasing the recycling reduces losses to landfill, only copper substitution can reduce the different losses to the environment, although with a time delay of the order of a lifetime.
The material stocks in the anthroposphere are growing faster than ever due to urbanization and growing per capita use. Owing to the growing potential insecurity of raw material supply the evaluation of resources gains increasing attention. Despite growing utilization of anthropogenic deposits, ‘urban mining’ has not yet sufficiently been supported by specific exploration methods. An exploration method for anthropogenic deposits is proposed and described by application to the copper stocks of Switzerland. The method combines material flow analysis with a bottom‐up analysis of material stocks. The stock composition and temporal characteristics are analysed by surveys and literature analysis. The stock amounts to 269±31 kg capita -1 for the year 2000. The retrospective data are used as parameters to construct a dynamic stock model, which is calibrated by historical trade statistics. The potential for drafting scenarios is discussed. The stock situation in Switzerland is reviewed and compared with that of other regions.