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首页> 外文期刊>The International Journal of Life Cycle Assessment >Modeling spatially resolved characterization factors for eutrophication potential in life cycle assessment
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Modeling spatially resolved characterization factors for eutrophication potential in life cycle assessment

机译:在生命周期评估中为富营养化潜力进行建模空间解决的特征因子

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摘要

Purpose Prior versions of the Tool for Reduction and Assessment of Chemical and other environmental Impacts (TRACI) have recognized the need for spatial variability when characterizing eutrophication. However, the method's underlying environmental models had not been updated to reflect the latest science. This new research provides the ability to differentiate locations with a high level of detail within the USA and provides global values at the country level.Methods In previous research (Morelli et al. 2018), the authors reviewed a broad range of domain-specific models and life cycle assessment methods for characterization of eutrophication and ranked these by levels of importance to the field and readiness for further development. The current research is rooted in the decision outcome of Morelli et al. (2018) to separate freshwater and marine eutrophication to allow for the most tailored characterization of each category individually. The current research also assumes that freshwater systems are limited by phosphorus and marine systems are limited by nitrogen. Using a combination of spatial modeling methods for soil, air, and water, we calculate midpoint characterization factors for freshwater and marine eutrophication categories and evaluate the results through a US-based case application.Results and discussion Maps of the nutrient inventories, characterization factors, and overall impacts of the case application illustrate the spatial variation and patterns in the results. The importance of variation in geographic location is demonstrated using nutrient-based activity likelihood categories of agricultural (rural fertilizer), non-agricultural (urban fertilizer), and general (human waste processing). Proximity to large bodies of water, as well as individual hydraulic residence times, was shown to affect the comparative values of characterization factors across the USA.Conclusions In this paper, we have calculated and applied finely resolved freshwater and marine eutrophication characterization factors for the USA and country-level factors for the rest of the globe. Additional research is needed to provide similarly resolved characterization factors for the entire globe, which would require expansion of publicly available data and further development of applicable fate and transport models. Further scientific advances may also be considered as computing capabilities become more sophisticated and widely accessible.
机译:用于减少和评估化学和其他环境影响(TRACI)的工具的目的先前版本已经认识到在表征富营养化时需要空间变异性。但是,该方法的潜在环境模型尚未更新以反映最新科学。这项新的研究提供了在美国在美国境内具有高细节的地方区分地点,并在国家一级提供全球价值。上一级研究中的方法(Morelli等,2018),这位作者审查了广泛的域特定模型和生命周期评估方法,用于表征富营养化,并通过对现场的重要性的程度并准备进一步发展。目前的研究植根于Morelli等人的决策结果。 (2018)分离淡水和海洋富营养化,以便单独允许每个类别定制的表征。目前的研究还假设淡水系统受磷,海洋系统受氮的限制。使用空间模拟方法的组合,用于土壤,空气和水,我们计算淡水和海洋富营养化类别的中点表征因子,并通过美国的案例应用评估结果。结果和营养库存的讨论地图,表征因素,案例应用的总体影响说明了结果中的空间变化和模式。使用基于营养的活动似然性的农业(农村肥料),非农业(城市肥料)和一般(人类废物处理)来证明地理位置变异的重要性。靠近大型水体以及单独的液压停留时间,显示出在美国跨美国的表征因子的比较值。结论,我们已经计算了美国的精细解决的淡水和海洋富营养化表征因素。地球其他地区的国家级因素。需要额外的研究来为整个地球提供类似解决的特征因素,这需要扩大公开的数据和适用的命运和运输模式的进一步发展。进一步的科学进步也可能被视为计算能力变得更加复杂和广泛访问。

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