The dissipation of metals leads to potential environmental impacts, usually evaluated for product systems with life cycle assessment. Dissipative flows of metals become inaccessible for future users, going against the common goal of a more circular economy. Therefore, they should be addressed in life cycle impact assessment (LCIA) in the area of protection “Natural Resources.” However, life cycle inventory databases provide limited information on dissipation as they only track emissions to the environment as elementary flows. Therefore, we propose two LCIA methods capturing the expected dissipation patterns of metals after extraction, based on dynamic material flow analysis data. The methods are applied to resource elementary flows in life cycle inventories. The lost potential service time method provides precautionary indications on the lost service due to dissipation over different time horizons. The average dissipation rate method distinguishes between the conservation potentials of different metals. Metals that are relatively well conserved, including major metals such as iron and aluminum, have low characterization factors (CFs). Those with poor process yields, including many companion and high-tech metals such as gallium and tellurium, have high CFs. A comparative study between the developed CFs, along with those of the Abiotic Depletion Potential and Environmental Dissipation Potential methods, show that dissipation trends do not consistently match those of the depletion and environmental dissipation potentials. The proposed methods may thus be complementary to other methods when assessing the impacts of resource use on the area of protection Natural Resources when pursuing an increased material circularity. This article met the requirements for a gold-silver JIE data openness badge at http://jie.click/badges.

中文翻译：

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估算金属耗散流影响的生命周期影响评估方法

金属的耗散会导致潜在的环境影响，通常对具有生命周期评估的产品系统进行评估。未来的用户将无法获得耗散的金属流，这违背了更加循环经济的共同目标。因此，它们应该在“自然资源”保护领域的生命周期影响评估 (LCIA) 中得到解决。然而，生命周期清单数据库提供的关于耗散的信息有限，因为它们只跟踪作为基本流量的环境排放。因此，我们提出了两种基于动态材料流分析数据的 LCIA 方法来捕获提取后金属的预期耗散模式。这些方法适用于生命周期清单中的资源基本流。丢失的潜在服务时间方法为由于不同时间范围内的耗散而丢失的服务提供预防性指示。平均耗散率法区分不同金属的守恒潜力。相对保守的金属，包括铁和铝等主要金属，具有较低的特征因子 (CF)。那些工艺良率较差的材料，包括许多伴随金属和高科技金属，例如镓和碲，具有高 CF。已开发的 CF 与非生物耗散潜力和环境耗散潜力方法的比较研究表明，耗散趋势与耗竭和环境耗散潜力的趋势不一致。因此，在寻求提高材料循环性时，在评估资源使用对自然资源保护领域的影响时，所提出的方法可能是对其他方法的补充。这篇文章满足了金银的要求http://jie.click/badges 上的JIE数据开放徽章。