Design of Geological Disaster Monitoring and Early-Warning System for Mountainous Nuclear Facilities

2019 ◽  
pp. 265-273
Author(s):  
Zuo-Ming Zhu ◽  
Jin-Xing Cheng ◽  
Wei-Wei Wen ◽  
You-Peng Wu ◽  
Xin Gao ◽  
...  
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Nuclear Facilities ◽  
Geological Disaster ◽  
Disaster Monitoring ◽  
Monitoring And Early Warning

scholarly journals Study and Application of Typical Disaster Monitoring and Early Warning System in Metal Mine

2012 ◽  
Vol 45 ◽  
pp. 125-130 ◽  
Author(s):  
Miaomiao Niu ◽  
Shunbing Zhu ◽  
Chunquan Du ◽  
Nianliang Yang ◽  
Wei Xu
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Metal Mine ◽  
Disaster Monitoring ◽  
Monitoring And Early Warning

Mountain Torrent Disaster Monitoring and Early-Warning System Based on Internet of Things

2014 ◽  
Vol 484-485 ◽  
pp. 577-580
Author(s):  
Chen Ping Zeng
Keyword(s):  
Internet Of Things ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Information Support ◽  
Flood Prevention ◽  
Automation And Control ◽  
Disaster Monitoring ◽  
Water Conservancy ◽  
Monitoring And Early Warning

As a wisdom water conservancy, mountain torrent disaster monitoring and early-warning system is an especially information part of flood prevention and drought resisting information support, and plays a very important role in the flood prevention and drought resisting in the water conservancy industry. The integration of mountain torrent disaster monitoring and early-warning system in water conservancy with the internet of things and the establishment of intelligent things networking system based on automation and control provide decision-making supports for flood prevention and mountain torrent disaster early-warning, aiming at safeguard the life and property securities of people. Therefore, by taking Zhaojue County of Liangshan Yi autonomous prefecture (an area with frequent mountain torrent disaster in Sichuan province) as an example, the implementation plan of mountain torrent disaster monitoring and early-warning system is reviewed in this paper.

scholarly journals Implementation of a Geological Disaster Monitoring and Early Warning System Based on Multi-source Spatial Data: A Case Study of Deqin County, Yunnan Province

2017 ◽  
Author(s):  
Guo-ping Chen ◽  
Jun-san Zhao ◽  
Lei Yuan ◽  
Zun-jie Ke ◽  
Miao Gu ◽  
...  
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Laser Scanning ◽  
New Technologies ◽  
Warning System ◽  
Early Warning Systems ◽  
Geological Disaster ◽  
Monitoring And Forecasting ◽  
Monitoring And Early Warning

Abstract. New technologies, such as three-dimensional laser scanning, interferometric synthetic aperture radar (InSAR), global navigation satellite systems (GNSSs), unmanned aerial vehicles (UAVs), and the Internet of Things, will provide greater volumes of data for surveying and monitoring as well as for the development of early warning systems (EWS). This research proposes solutions for the design and implementation of a geological hazard monitoring and early warning system (GHMEWS) for landslides and debris-flow hazards based on data multi-sourced from the aforementioned technologies. We describe the complex and changeable characteristics of the GHMEWS and analyze the architecture of the system, the composition of the multi-source database, the development mode and service logic, and the methods and key technologies of the system development. To illustrate the implementation process of the GHMEWS, we selected Deqin County as the case study area due to its unique terrain and diverse types of typical landslides and debris flows. First, we discuss the system's functional requirements and the monitoring and forecasting models of the system. Second, we examine the logic relations of the overall disaster process, including pre-disaster, disaster rescue, and post-disaster reconstruction, and develop a support tool for disaster prevention, disaster reduction, and geological disaster management. Third, we describe the methods for multi-source monitoring data integration and the generation and simulation of the mechanism model of geological disasters. Finally, we construct the GHMEWS for application to the dynamic and real-time management, monitoring, and forecasting of the entire hazard process in Deqin County.

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