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Visualized localization and tracking of debris flow movement based on infrasound monitoring

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Abstract

During the initiation and movement of debris flow, low frequency infrasound is generated and emitted with characteristics such as strong penetration, low attenuation, and a high propagation speed that is faster than the debris flow. Monitoring infrasound has been used in debris flow detection and early warning systems; however, although the current infrasound-based warning system of debris flow can provide an alarm when debris flow occurs, it cannot locate and track the movement of debris flow in real time, and cannot determine the arrival time of debris flow to its potential victims. Thus, the potential applications of low frequency infrasound in debris flow disaster prevention and reduction have not yet been fully explored. In this study, we constructed an optimal triangular monitoring array based on factors such as the terrain of the monitoring area and characteristics of infrasound propagation. Combined with the time-delay estimation method, we determined and established an acoustic source localization model based on the time difference of arrival. Furthermore, with the help of a GIS platform, a visualized localization and tracking system for debris flow movement was developed to achieve real-time monitoring of debris flow. The performance of the system on acoustic source localization was validated using a simulation test and long-term field monitoring of debris flow at Jiangjia gully in Dongchuan, Yunnan province, China. Both the simulation and field test results showed that the system has high localization accuracy and strong real-time response. The results of the monitoring system could provide more accurate warning information of debris flow to local government and residents, allowing them to take appropriate mitigation measures well in advance to reduce the loss of life and property caused by debris flows.

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Funding information

This research is supported by the Project (No. KYTZ201616) supported by the Scientific Research Foundation of CUIT and the National Natural Science Foundation of China (No. 41501114) and the College students’ Innovative Entrepreneurial Training Plan (No. 201610621002) and the Science and Technology Service Network Initiative (No. KFJ-SW-STS-180).

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Authors and Affiliations

  1. College of Software Engineering, Chengdu University of Information Technology, Chengdu, 610225, China

    Dunlong Liu

  2. College of Information Science and Technology, Chengdu University of Technology, Chengdu, 610059, China

    Xiaopeng Leng

  3. Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610041, China

    Xiaopeng Leng, Fangqiang Wei, Shaojie Zhang & Yong Hong

Authors
  1. Dunlong Liu
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  2. Xiaopeng Leng
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  3. Fangqiang Wei
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  4. Shaojie Zhang
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  5. Yong Hong
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Correspondence to Xiaopeng Leng.

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Liu, D., Leng, X., Wei, F. et al. Visualized localization and tracking of debris flow movement based on infrasound monitoring. Landslides 15, 879–893 (2018). https://doi.org/10.1007/s10346-017-0898-4

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