E3S Web Conf.
Volume 257, 20215th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)
|Number of page(s)||5|
|Section||Environmental Monitoring Repair and Pollution Control|
|Published online||12 May 2021|
Research on Submarine landslide monitoring and early warning system
Institute of Environmental Science and Engineering, Ocean University of China, Qingdao, Shandong, China
2 The Key Laboratory of Marine Environment and Ecology, Ministry of Education (Ocean University of China), Qingdao, Shandong, China
* Corresponding author: Hongxian Shan, E-mail address: email@example.com
Monitoring and early warning of submarine landslides could provide instant predictions for landslides, which is to avoid the destructive damage of submarine facilities such as pipelines and optical cable, etc effectively. However, researches on submarine landslide focus on numerical simulation and laboratory test, lacking support of in-situ observation data. This paper established the submarine landslide monitoring and early warning system by combining real-time monitoring data with web network platform and database technique. Based on the computational analysis of key monitoring parameters in the process of seabed deformation and sliding, the system has realized the accurate prediction and early warning of submarine landslides. The system has been applied to the submarine landslide monitoring in Zhoushan sea area, Zhejiang province, China, which has ensured the safety of offshore platforms and submarine projects in this area. The establishment of this system provides a new idea and method for submarine landslide warning.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.