Creating a “family tree” on fertilizer inventory use in life cycle assessment of oil palm: visualization of earlier studies and its implications
Creating a “family tree” on fertilizer inventory use in life cycle assessment of oil palm: visualization of earlier studies and its implications
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创建油棕生命周期评估中肥料库存使用的“家谱”：早期研究的可视化及其影响
DOI：
10.1007/s11367-019-01607-9
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Kiyotada Hayashi
中科院分区：
文献类型：
--
作者：
Hayashi Kiyotada;Erwinsyah;Lelyana Vita Dhian;Yamamura Kohji;Nao Takashina and Toshinori Tanaka;久保田裕子;寒川哲夫， 諏訪晴彦;衣笠智子;Koya TSUKAHARA and Kayoko YAMAMOTO;平岡俊一・的場信敬;久保田裕子;田中俊徳;米本涼，寒川哲夫，諏訪晴彦;Kiyotada Hayashi
PurposeThis综述开发并应用了一种可视化方法，用于了解化肥库存数据（包括温室气体（GHG）排放因子和化石燃料能源需求）如何用于油棕生命周期评估（LCA）研究，并讨论了如何减少以往研究中发现的不一致性。使用有向图（有向图）表示来构造“家谱”。图中的每个节点指示文章，并且从源到目的地的箭头示出了前一篇文章在后一篇文章中被引用作为背景库存的源。从Web的科学提取的书目数据被用于构建家谱的肥料库存use.Results和discussionSeveral组（“家庭”），确定通过创建家谱。最值得注意的一组是围绕LCA数据库ecoinvent形成的，它具有最大数量的流出（从节点的箭头），这表明ecoinvent在油棕LCA中具有相当大的影响力。此外，时间和空间的不一致性（过时的技术假设和欧洲数据的替代使用）被发现在可视化;因此，不一致的严重性进行了讨论，通过分析的情况下，在氮肥生产的不确定性。阐明了关注肥料生产技术而不是简单地关注区域差异的重要性。结论本研究表明应用可视化方法在了解早期研究的整体配置方面的有用性。预计可视化及其影响将成为清单分析方面良好做法的一个方向。
PurposeThis review develops and applies a visualization method for understanding how chemical fertilizer inventory data, including greenhouse gas (GHG) emission factors and fossil fuel energy requirements, have been used in previous life cycle assessment (LCA) studies of oil palm and discusses how inconsistencies detected in previous studies can be decreased.MethodsAs a visualization method for previous publications, a “family tree” was constructed using a directed graph (digraph) representation. Each node in the graph indicates an article, and an arrow from the source to a destination illustrates that the former article was cited in the latter article as a source of the background inventories. Bibliographical data extracted from the Web of Science were used for constructing the genealogy of fertilizer inventory use.Results and discussionSeveral groups (“families”) were identified through creation of the family tree. The most noticeable group was formed around the LCA database ecoinvent, which has the maximum number of out-flows (arrows from the node), suggesting a considerable influence of ecoinvent in the LCA of oil palm. In addition, temporal and spatial inconsistencies (outdated technological assumptions and substitutional use of European data) were detected in the visualization; therefore, the severity of the inconsistencies was discussed through an analysis of scenario uncertainty in nitrogen fertilizer production. The importance of devoting attention to fertilizer production technologies rather than simply to regional differences was clarified.ConclusionsThis study demonstrates the usefulness of applying visualization methods in understanding the overall configuration of earlier studies. It is expected that the visualization and its implications constitute a way forward to good practices in inventory analysis.
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影响因子：
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作者：
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DOI：
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发表时间：
2008-08
期刊：
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DOI：
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发表时间：
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影响因子：
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DOI：
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发表时间：
2011
期刊：
影响因子：
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作者：
J. Wheeldon;M. Åhlberg
通讯作者：
M. Åhlberg