Wireless Sensor Network-Based Rockfall and Landslide Monitoring Systems: A Review

被引：3
|
作者：
Ragnoli, Mattia [1 ]
Scarsella, Massimo [1 ]
Leoni, Alfiero [1 ]
Ferri, Giuseppe [1 ]
Stornelli, Vincenzo [1 ]
机构：
[1] Univ Aquila, Dept Ind & Informat Engn & Econ, I-67100 Laquila, Italy
来源：
SENSORS | 2023年 / 23卷 / 16期
关键词：
geohazard; IoT; landslide monitoring; risk assessment; rockfall monitoring; sensors; wireless sensor network; MACHINE LEARNING-METHODS; SUSCEPTIBILITY; INVENTORY; RISK; UNCERTAINTY; GEOHAZARDS; DEPLOYMENT; CATALONIA; DESIGN;
D O I：
10.3390/s23167278
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
Rockfalls and landslide events are caused by different factors among which are included geomorphological and climatic factors and also human interaction. Therefore, the economic and social impacts can be significant and the remote monitoring of such hazards has become an essential topic in various applications. Wireless sensor networks (WSNs) are well suited for the deployment of monitoring systems, benefiting from the different technologies and topologies that are available and evolving nowadays. This review paper aims to summarize and overview the up-to-date state of the art of rockfall and landslide monitoring systems based on WSNs. The implementation and methods were analyzed for each solution, along with the system architecture and relevant hardware aspects. All the retrieved data were used to analyze the current trends and future possibilities in the field of WSN geohazard monitoring.
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页数：20
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