A review of the advantages and limitations of geophysical investigations in landslide studies

V Pazzi, S Morelli, R Fanti - International Journal of Geophysics, 2019 - Wiley Online Library
Landslide deformations involve approximately all geological materials (natural rocks, soil,
artificial fill, or combinations of these materials) and can occur and develop in a large variety …

[HTML][HTML] 微震技术在崩塌落石监测预警应用的研究进展

冯亮, 张振 - 工程地质学报, 2024 - dzkx.org
崩塌与落石作为岩质边坡破坏与诱发的典型地质灾害, 往往具有突发性, 隐蔽性和缺乏明显直接
的前兆信息, 很难做到准确和及时的应急响应, 存在巨大的安全隐患. 微震技术依靠远程无接触 …

A framework for temporal and spatial rockfall early warning using micro-seismic monitoring

L Feng, E Intrieri, V Pazzi, G Gigli, G Tucci - Landslides, 2021 - Springer
Rockfall risk is usually characterized by a high frequency of occurrence, difficulty in
prediction (given high velocity, lack of noticeable forerunners, abrupt collapse, and complex …

The effectiveness of a wireless sensor network system for landslide monitoring

S Jeong, J Ko, J Kim - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, the application of a WSN (Wireless Sensor Network) for landslide monitoring
was studied. The WSN system consists of a sensor node for collecting and transmitting data …

Characterizing large rockfalls using their seismic signature: A case study of Hongya rockfall

W Li, D Wang, X Yi, S Yan, Y Zhang, B Xiang… - Engineering …, 2023 - Elsevier
A preliminary, yet timely characterization of rockfall hazards is essential for effective
emergency response and mitigation measures. Such characterization is, however …

Rockfall seismic features analysis based on in situ tests: frequency, amplitude, and duration

L Feng, V Pazzi, E Intrieri, T Gracchi, G Gigli - Journal of Mountain Science, 2019 - Springer
In the seismic event classification, determining the seismic features of rockfall is significantly
important for the automatic classification of seismic events because of the huge amount of …

Machine learning prediction of the mass and the velocity of controlled single-block rockfalls from the seismic waves they generate

C Hibert, F Noël, D Toe, M Talib, M Desrues, E Wyser… - 2022 - hal.science
Understanding the dynamics of slope instabilities is critical to mitigate the associated
hazards but their direct observation is often difficult due to their remote locations and their …

Joint detection and classification of rockfalls in a microseismic monitoring network

L Feng, V Pazzi, E Intrieri, T Gracchi… - Geophysical Journal …, 2020 - academic.oup.com
SUMMARY A rockfall (RF) is a ubiquitous geohazard that is difficult to monitor or predict and
poses a significant risk for people and transportation in several hilly and mountainous …

Deep Learning-and IoT-Based Framework for Rock-Fall Early Warning

M Abaker, H Dafaalla, TAE Eisa, H Abdelgader… - Applied Sciences, 2023 - mdpi.com
In recent years, several strategies have been introduced to enhance early warning systems
and lower the risk of rock-falls. In this regard, this paper introduces a deep learning-and IoT …

Locating rockfalls using inter‐station ratios of seismic energy at Dolomieu Crater, Piton de la Fournaise Volcano

J Kuehnert, A Mangeney, Y Capdeville… - Journal of …, 2021 - Wiley Online Library
Rockfalls generate seismic signals that can be used to detect and monitor rockfall activity.
Event locations can be estimated on the basis of arrival times, amplitudes, or polarization of …