Construction and application of debris flow infrasound real-time monitoring and warning visualization platform

Dunlong Liu (), Qian Wu, Hanchuan Dong (), Xiaopeng Leng, Lei He and Yan Gao
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Dunlong Liu: Chengdu University of Information and Technology
Qian Wu: Sichuan Institute of Geological Engineering Investigation Group Co. Ltd
Hanchuan Dong: Technology Innovation Center for Geological Environment Monitoring, MNR
Xiaopeng Leng: Chengdu University of Technology
Lei He: Chengdu University of Information and Technology
Yan Gao: Chengdu University of Information and Technology

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2022, vol. 112, issue 1, No 22, 543 pages

Abstract: Abstract Infrasonic wave has been widely used in debris flow monitoring and early warning because of its unique properties such as strong penetration, low energy attenuation and its propagation speed far greater than that of debris flow. However, the existing relevant researches only focus on the characteristic analysis of debris flow infrasound itself and its simple application, and have not formed a reliable, practical and integrated comprehensive service platform. To solve this problem, based on the developed identification model of debris flow infrasound signal and location model of debris flow infrasound source, this research developed and constructed a visualization platform for real-time monitoring and early warning of debris flow infrasound by deploying infrasound sensors in areas prone to debris flow and by means of Internet of Things, database, GIS, etc. The multi-functional integrated services of real-time automatic acquisition, remote transmission, receiving and parsing, storage, signal identification, wave source location and tracking and visual display of debris flow infrasound signal are realized. The reliability and effectiveness of the platform were verified by long-term on-site debris flow monitoring in Jiangjia Gully, Dongchuan, Yunnan province. The field application results show that the platform has high accuracy in identification of debris flow infrasound signal and location of infrasound source. The calculation results of the platform can provide the government and residents with more effective and practical early-warning information of debris flow, and make appropriate disaster reduction measures in advance to reduce the loss of life and property caused by debris flow disasters.

Keywords: Debris flow; Infrasound; Signal identification; Sound localization; System integration (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11069-021-05192-9

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