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https://doi.org/10.5194/nhess-2024-68
https://doi.org/10.5194/nhess-2024-68
17 Jun 2024
 | 17 Jun 2024
Status: this preprint is currently under review for the journal NHESS.

Review article: Research progress on influencing factors, data, and methods for early identification of landslide hazards

Heng Lu, Zhengli Yang, Kai Song, Zhijie Zhang, Chao Liu, Ruihua Nie, Lei Ma, Wanchang Zhang, Gang Fan, Chen Chen, and Min Zhang

Abstract. The early identification of potential landslide hazards has always been a hot and difficult issue in the field of international landslide research. In recent years, many scholars have conducted extensive and beneficial explorations in this field, making significant contributions to the effective prevention of landslide disasters. However, until now, there are very few review documents on summarizing such valuable experience in the system, which makes it difficult to meet the ever-increasing demand of researchers in scientific documents. To address the gap, this paper systematically reviews 843 documents collected by the two data platforms of Web of Science (WOS) and Scopus from 1971 to 2023 by using the bibliometric analysis software. This paper first figures out the internal relationship between documents by analysing their spatial and temporal distribution characteristics, and then emphatically analyses the application, advantages and disadvantages of different early identification methods based on the influencing factors of landslide disaster formation and multi-source data acquisition links. And finally, this paper discusses the challenges and development trends in this field from four aspects of cooperative analysis, multi-source data, topic analysis and research trends, and puts forward some suggestions. This research can help researchers to use various early identification methods reasonably and provide summary and integration services of scientific document achievements for efficient research in this field.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Heng Lu, Zhengli Yang, Kai Song, Zhijie Zhang, Chao Liu, Ruihua Nie, Lei Ma, Wanchang Zhang, Gang Fan, Chen Chen, and Min Zhang

Status: open (until 29 Jul 2024)

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  • RC1: 'Comment on nhess-2024-68', Anonymous Referee #1, 28 Jun 2024 reply
  • RC2: 'Comment on nhess-2024-68', Anonymous Referee #2, 02 Jul 2024 reply
Heng Lu, Zhengli Yang, Kai Song, Zhijie Zhang, Chao Liu, Ruihua Nie, Lei Ma, Wanchang Zhang, Gang Fan, Chen Chen, and Min Zhang
Heng Lu, Zhengli Yang, Kai Song, Zhijie Zhang, Chao Liu, Ruihua Nie, Lei Ma, Wanchang Zhang, Gang Fan, Chen Chen, and Min Zhang

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Short summary
1. Sort out the characteristics, functions, links, and application scope of various measuring tools. 2. Bibliometric analysis of early identification methods for landslide hazards. 3. Review the influencing factors of landslides and summarize data links and application literature. 4. Focused on analyzing 5 early landslide identification methods. 5. In-depth exploration of the internal connections of literature and future development directions.
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