Technische Universität Berlin , Chair of Sustainable Engineering, Office Z1, Strasse des 17. Juni 135, 10623 Berlin, Germany.
Environ Sci Technol. 2014 Apr 15;48(8):4521-8. doi: 10.1021/es404994t. Epub 2014 Apr 1.
Aiming to enhance the analysis of water consumption and resulting consequences along the supply chain of products, the water accounting and vulnerability evaluation (WAVE) model is introduced. On the accounting level, atmospheric evaporation recycling within drainage basins is considered for the first time, which can reduce water consumption volumes by up to 32%. Rather than predicting impacts, WAVE analyzes the vulnerability of basins to freshwater depletion. Based on local blue water scarcity, the water depletion index (WDI) denotes the risk that water consumption can lead to depletion of freshwater resources. Water scarcity is determined by relating annual water consumption to availability in more than 11,000 basins. Additionally, WDI accounts for the presence of lakes and aquifers which have been neglected in water scarcity assessments so far. By setting WDI to the highest value in (semi)arid basins, absolute freshwater shortage is taken into account in addition to relative scarcity. This avoids mathematical artifacts of previous indicators which turn zero in deserts if consumption is zero. As illustrated in a case study of biofuels, WAVE can help to interpret volumetric water footprint figures and, thus, promotes a sustainable use of global freshwater resources.
为了增强对产品供应链中用水量和相关后果的分析,引入了水核算和脆弱性评估(WAVE)模型。在核算层面上,该模型首次考虑了流域内大气蒸发再循环,这最多可减少 32%的用水量。WAVE 不是预测影响,而是分析流域对淡水枯竭的脆弱性。基于当地的蓝色水资源短缺情况,水耗竭指数(WDI)表示用水量可能导致淡水资源枯竭的风险。水短缺是通过将年度用水量与 11000 多个流域的可利用量进行比较来确定的。此外,WDI 还考虑到了迄今为止在水短缺评估中被忽视的湖泊和含水层。通过将 WDI 设置为(半)干旱流域的最高值,除了相对短缺外,还考虑了绝对淡水短缺。这避免了之前的指标在沙漠地区如果消费为零则变为零的数学假象。正如生物燃料案例研究所示,WAVE 可以帮助解释体积水足迹数据,从而促进全球淡水资源的可持续利用。