基于知识图谱的滑坡易发性评价文献综述及研究进展

Landslide susceptibility mapping (LSM) is the foundation and critical part of landslide risk assessment.The bibliometric analysis of LSM literature can be applied to quantitatively analyze the research progress and development trend.The result will provide references for geological hazard risk assessment in China.In this study, based on the Web of Science and CNKI databases, the CiteSpace visual knowledge graph analysis tool has been used to carry out bibliometric analysis of LSM literature from 1985 to 2022.Moreover, the LDA analysis has been conducted on the abstract to subdivide the research in this field.The results show that: (1) LSM is still a research hotspot at present.In China, there are a large number of studies and international cooperation about LSM. ( 2) Four of the top 10 authors in the number of published papers on LSM are from China.The institution that has published the most papers on LSM is the Chinese Academy of Sciences.The Chinese Journal of Geological Hazard and Control is the most popular Chinese journal and the Natural Hazardsis the most popular English journals to publish LSM papers.The research on the subject of LSM has been substantially funded by the National Natural Science Foundation of China and the National Land and Resources Survey Project.(3) In the past five years, machine learning models (including deep learning, etc.) have been widely used as the most popular LSM models.(4) In order to achieve the simplification and intelligence of landslide susceptibility modeling and to improve the accuracy and practicability of the LSM results, the following parts of LSM, including the landslide inventory, conditioning factors, assessment unit, assessment model, connection methods and accuracy verification, need to be deeply explored in further studies.