Exploring time series models for landslide prediction: a literature review

IF 3.8 Q2 ENVIRONMENTAL SCIENCES
Kyrillos M. P. Ebrahim, Ali Fares, Nour Faris, Tarek Zayed
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引用次数: 0

Abstract

Landslides pose significant geological hazards, necessitating advanced prediction techniques to protect vulnerable populations. Reviewing landslide time series analysis predictions is found to be missing despite the availability of numerous reviews. Therefore, this paper systematically reviews time series analysis in landslide prediction, focusing on physically based causative models, highlighting data preparation, model selection, optimizations, and evaluations. The review shows that deep learning, particularly the long-short-term memory (LSTM) model, outperforms traditional methods. However, the effectiveness of these models hinges on meticulous data preparation and model optimization. While the existing literature offers valuable insights, we identify key areas for future research, including the impact of data frequency and the integration of subsurface characteristics in prediction models.
滑坡预测时间序列模型探索:文献综述
山体滑坡是重大地质灾害,需要先进的预测技术来保护脆弱人群。尽管已有大量评论,但对滑坡时间序列分析预测的评论却被认为是缺失的。因此,本文系统回顾了滑坡预测中的时间序列分析,重点关注基于物理的成因模型,突出数据准备、模型选择、优化和评估。综述显示,深度学习,尤其是长短期记忆(LSTM)模型,优于传统方法。然而,这些模型的有效性取决于细致的数据准备和模型优化。虽然现有文献提供了有价值的见解,但我们也指出了未来研究的关键领域,包括数据频率的影响和预测模型中地下特征的整合。
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来源期刊
Geoenvironmental Disasters
Geoenvironmental Disasters Social Sciences-Geography, Planning and Development
CiteScore
8.90
自引率
6.20%
发文量
22
期刊介绍: Geoenvironmental Disasters is an international journal with a focus on multi-disciplinary applied and fundamental research and the effects and impacts on infrastructure, society and the environment of geoenvironmental disasters triggered by various types of geo-hazards (e.g. earthquakes, volcanic activity, landslides, tsunamis, intensive erosion and hydro-meteorological events). The integrated study of Geoenvironmental Disasters is an emerging and composite field of research interfacing with areas traditionally within civil engineering, earth sciences, atmospheric sciences and the life sciences. It centers on the interactions within and between the Earth''s ground, air and water environments, all of which are affected by climate, geological, morphological and anthropological processes; and biological and ecological cycles. Disasters are dynamic forces which can change the Earth pervasively, rapidly, or abruptly, and which can generate lasting effects on the natural and built environments. The journal publishes research papers, case studies and quick reports of recent geoenvironmental disasters, review papers and technical reports of various geoenvironmental disaster-related case studies. The focus on case studies and quick reports of recent geoenvironmental disasters helps to advance the practical understanding of geoenvironmental disasters and to inform future research priorities; they are a major component of the journal. The journal aims for the rapid publication of research papers at a high scientific level. The journal welcomes proposals for special issues reflecting the trends in geoenvironmental disaster reduction and monothematic issues. Researchers and practitioners are encouraged to submit original, unpublished contributions.
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