A regionalised life cycle assessment model to globally assess the environmental implications of soil salinisation in irrigated agriculture.

A regionalised life cycle assessment model to globally assess the environmental implications of soil salinisation in irrigated agriculture.
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DOI:
10.1021/acs.est.9b03334
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发表时间:
2020-02
影响因子:
11.4
通讯作者:
M. Núñez;M. Finkbeiner
M. Núñez;M. Finkbeiner
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
M. Núñez;M. Finkbeiner

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我们提出了一个全球性的,本地解决的生命周期评估(LCA)模型来评估土壤质量的潜在影响,由于在农业土壤剖面中的水溶性盐的积累,允许农业实践之间的差异。利用全球可用的土壤和气候信息以及作物特定的耐盐性,该模型量化了灌溉水中的盐对土壤质量的负面影响,包括土壤电导率的变化以及在土壤盐分水平增加的情况下可以种植的作物数量的相应变化。为了便于使用该模型,我们提供了一个生命周期清单工具,其中包含每个国家和160种作物灌溉水排放的盐的信息。全球平均土壤敏感性为0.19 dS/m/g盐/1 m3土壤,平均相对作物多样性损失为5.7*10-02/g盐/1 m3土壤。这些平均值随着位置的变化而明显变化。在世界上大多数潮湿地区的表征因子为零,表明在这些情况下,由于灌溉土壤盐渍化不会导致土壤退化。我们通过一个案例研究展示了如何应用该模型。该模型用于指导决策过程,以提高灌溉农业的可持续性。
We present a global, locally resolved life cycle assessment (LCA) model to assess the potential effects on soil quality due to the accumulation of water-soluble salts in the agricultural soil profile, allowing differentiation between agricultural practices. Using globally available soil and climate information and crop specific salt tolerances, the model quantifies the negative implications that salts in irrigation water have on soil quality, in terms of change in the soil electrical conductivity and the corresponding change in the amount of crops that can be grown at increasing soil salinity levels. To facilitate the use of the model, we provide a life cycle inventory tool with information on salts emitted with irrigation water per country and 160 crops. Global average soil susceptibility is 0.19 dS/m per g salt in 1 m3 soil and the average resulting relative crop diversity loss is 5.7*10-02 per g salt in 1 m3 soil. These average values vary tangibly as a function of the location. In most humid regions worldwide the characterisation factor is null, showing that in these cases soil salinisation due to irrigation does not contribute to soil degradation. We displayed how to apply the model with a case study. The model serves for guiding decision-making processes towards improving the sustainability of irrigated agriculture.