A Review of Research on Algorithmic Modeling in Landslide Hazards - Visualization and Analysis Based on VOSviewer

DOI

10.2991/978-94-6463-336-8_88How to use a DOI?

Keywords

Landslide hazard; Intelligent algorithm; VOSviewer

Abstract

Accompanied by global climate variability and the increase in engineering construction, the problem of landslide disaster is becoming more and more prominent because landslide disaster has a wide range of hazards, high risk, and other characteristics, which makes the application of intelligent algorithms in the field of landslide disaster is particularly important. In this paper, we use VOSviewer knowledge mapping analysis software to count all the databases of Web of Science (WOS) from 2000 to 2023, about the literature related to the research of intelligent algorithms in landslide disaster, and jointly decipher the research status and predict the research trend through high-frequency keywords, high correlation coefficient keywords, keyword clustering map, keyword superposition map, and keyword density map. The research results show that the typical model of landslide disaster mainly includes the application of landslide disaster monitoring and landslide disaster assessment; the scenario primarily provides for the analysis of the cause mechanism of geohazard, geohazard monitoring methods, and geohazard prevention exploration in three aspects. Based on this, it is believed that the field of landslide disasters will have more universality and special geological conditions.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Xiaomin Dai
AU  - Liuyang Xing
AU  - Zijie Ye
AU  - Rong He
AU  - Shengqiang Ma
PY  - 2023
DA  - 2023/12/30
TI  - A Review of Research on Algorithmic Modeling in Landslide Hazards - Visualization and Analysis Based on VOSviewer
BT  - Proceedings of the 2023 9th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2023)
PB  - Atlantis Press
SP  - 782
EP  - 793
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-336-8_88
DO  - 10.2991/978-94-6463-336-8_88
ID  - Dai2023
ER  -