Suppr超能文献

人为海洋垃圾研究的主题的时间趋势和空间分布:使用潜在狄利克雷分配的主题建模。

Temporal trends and spatial distribution of research topics in anthropogenic marine debris study: Topic modelling using latent Dirichlet allocation.

机构信息

Center for the Promotion of Interdisciplinary Education and Research, Kyoto University, Kyoto, Japan.

Graduate School of Agriculture, Kyoto University, Kyoto, Japan.

出版信息

Mar Pollut Bull. 2022 Sep;182:113917. doi: 10.1016/j.marpolbul.2022.113917. Epub 2022 Jul 28.

Abstract

The release of anthropogenic marine debris (AMD) is one of the major environmental challenges of our time. In this study, a topic model called latent Dirichlet allocation (LDA) was used to infer the research topics about AMD to provide the whole picture of the research area. The results of the LDA showed that the AMD research topics are mostly applied topics and belong to interdisciplinary or transdisciplinary research areas. Furthermore, the analysis of the temporal trends of the topics showed that topics related to such as plastic pollution exhibit an upward trend, whereas those dealing with the spatiotemporal dynamics and distribution patterns of marine debris showed a downward trend. The analysis of topic distribution over countries showed that research is scarce in landlocked countries. The findings of this study can be used as a map for the area of AMD study by various stakeholders related to marine debris issues.

摘要

人为海洋垃圾(AMD)的排放是我们这个时代的主要环境挑战之一。在这项研究中,使用了一种名为潜在狄利克雷分配(LDA)的主题模型来推断关于 AMD 的研究主题,以提供该研究领域的全貌。LDA 的结果表明,AMD 的研究主题主要是应用主题,属于跨学科或交叉学科研究领域。此外,对主题的时间趋势分析表明,与塑料污染等相关的主题呈上升趋势,而涉及海洋垃圾的时空动态和分布模式的主题则呈下降趋势。对国家间主题分布的分析表明,内陆国家的研究较为匮乏。本研究的结果可以作为与海洋垃圾问题相关的各种利益相关者进行 AMD 研究的地图。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验