INRA, UR050, Laboratoire de Biotechnologie de l'Environnement , Avenue des Etangs, Narbonne, F-11100, France.
Environ Sci Technol. 2013;47(21):12258-65. doi: 10.1021/es403159t. Epub 2013 Oct 22.
This study aimed to provide a framework for assessing direct soil-water consumption, also termed green water in the literature, in life cycle assessment (LCA). This was an issue that LCA had not tackled before. The approach, which is applied during the life cycle inventory phase (LCI), consists of quantifying the net change in the evapo(transpi)ration of the production system compared to the natural reference situation. Potential natural vegetation (PNV) is used as the natural reference situation. In order to apply the method, we estimated PNV evapotranspiration adapted to local biogeographic conditions, on global dry lands, where soil-water consumption impacts can be critical. Values are reported at different spatial aggregation levels: 10-arcmin global grid, ecoregions (501 units), biomes (14 units), countries (124 units), continents, and a global average, to facilitate the assessment for different spatial information detail levels available in the LCI. The method is intended to be used in rain-fed agriculture and rainwater harvesting contexts, which includes direct soil moisture uptake by plants and rainwater harvested and then reused in production systems. The paper provides the necessary LCI method and data for further development of impact assessment models and characterization factors to evaluate the environmental effects of the net change in evapo(transpi)ration.
本研究旨在为评估直接土壤-水消耗（文献中也称为绿水）提供一个框架，这是生命周期评估（LCA）以前没有解决的问题。该方法应用于生命周期清单阶段（LCI），包括量化生产系统与自然参照情况相比的蒸散净变化。潜在自然植被（PNV）被用作自然参照情况。为了应用该方法，我们根据当地的生物地理条件，对全球旱地的 PNV 蒸散量进行了估计，因为在这些地区，土壤-水消耗的影响可能是关键的。报告了不同空间聚合水平的值：全球 10 角分网格、生态区（501 个单位）、生物群区（14 个单位）、国家（124 个单位）、各大洲和全球平均值，以便在 LCI 中可用的不同空间信息详细程度级别上进行评估。该方法旨在用于雨养农业和雨水收集的情况，包括植物直接吸收土壤水分和收集雨水并在生产系统中再利用。本文提供了必要的 LCI 方法和数据，以进一步开发影响评估模型和特征化因子，评估蒸散净变化的环境影响。
