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首页> 外文期刊>Journal of Cleaner Production >Production weighted water use impact characterisation factors for the global mining industry
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Production weighted water use impact characterisation factors for the global mining industry

机译:全球采矿业的生产加权用水影响特征因子

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摘要

Methods for quantifying the impacts of water use within life cycle assessment have developed significantly over the past decade. These methods account for local differences in hydrology and water use contexts through the use of regionally specific impact characterisation factors. However, few studies have applied these methods to the mining industry and so there is limited understanding regarding how spatial boundaries may affect assessments of the mining industry's consumptive water use impacts. To address this, we developed production weighted characterisation factors for 25 mineral and metal commodities based upon the spatial distribution of global mine production across watersheds and nations. Our results indicate that impact characterisation using the national average 'Water Stress Index' (WSI) would overestimate the water use impacts for 67% of mining operations when compared to assessments using watershed WSI values. Comparatively, national average 'Available Water Remaining' (AWaRe) factors would overestimate impacts for 60% of mining operations compared to assessments using watershed factors. In the absence of watershed scale inventory data, assessments may benefit from developing alternative characterisation factors reflecting the spatial distribution of commodity production across watersheds. The results also provide an indication of the commodities being mined in highly water stressed or scarce regions. (C) 2018 Elsevier Ltd. All rights reserved.
机译:在过去的十年中,用于量化生命周期评估中的用水影响的方法已经有了显着发展。这些方法通过使用区域特定的影响特征因子来说明水文和用水情况的局部差异。但是,很少有研究将这些方法应用于采矿业,因此,关于空间边界如何影响对采矿业耗水量影响评估的理解还很有限。为了解决这个问题,我们根据流域和国家之间全球矿山产量的空间分布,开发了25种矿产和金属商品的生产加权特征因子。我们的结果表明,与使用分水岭WSI值进行评估相比,使用全国平均水平的“水分胁迫指数”(WSI)进行的影响特征化将高估67%采矿作业的用水影响。相比之下,与使用分水岭因素进行评估相比,全国平均“剩余可用水量”(AWaRe)因素会高估60%采矿作业的影响。在缺乏流域规模清单数据的情况下,评估可能会受益于开发替代特征因子,以反映跨流域商品生产的空间分布。结果也表明在高度缺水或稀缺地区开采的商品。 (C)2018 Elsevier Ltd.保留所有权利。

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