Research on the Response Characteristics and Identification of Infrasound Signals in the Jialongcuo Ice Avalanche, Tibet

Due to the inability of remote sensing satellites to monitor avalanches in real time, this study focuses on the glaciers in the rear edge of Jialongcuo, Tibet, and uses infrasound sensors to conduct real-time monitoring of ice avalanches. The following conclusions are drawn: (1) In terms of waveform...

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Main Authors: Yifang Zhang, Qiao Chen, Pengcheng Su, Dunlong Liu, Jianzhao Cui, Jilong Chen, Jianrong Ma, Qiao Xing, Fenglin Xu, Yuanchao Fan, Fangqiang Wei
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/18/4482
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author Yifang Zhang
Qiao Chen
Pengcheng Su
Dunlong Liu
Jianzhao Cui
Jilong Chen
Jianrong Ma
Qiao Xing
Fenglin Xu
Yuanchao Fan
Fangqiang Wei
author_facet Yifang Zhang
Qiao Chen
Pengcheng Su
Dunlong Liu
Jianzhao Cui
Jilong Chen
Jianrong Ma
Qiao Xing
Fenglin Xu
Yuanchao Fan
Fangqiang Wei
author_sort Yifang Zhang
collection DOAJ
description Due to the inability of remote sensing satellites to monitor avalanches in real time, this study focuses on the glaciers in the rear edge of Jialongcuo, Tibet, and uses infrasound sensors to conduct real-time monitoring of ice avalanches. The following conclusions are drawn: (1) In terms of waveform, compared to background noise, ice avalanche events have a slight left deviation and a slightly steep shape; compared to wind, rain, and floods events, ice avalanche events have less obvious kurtosis and skewness. (2) In terms of frequency distribution, the infrasound frequency generated by ice avalanche events is mainly distributed in the range of 1.5 Hz to 9.5 Hz; compared to other events, ice avalanche events differ some in frequency characteristics. (3) The model based on information entropy and marginal spectral frequency distribution characteristics of infrasound have higher accuracy in signal classification and recognition, as they can better represent the differences between infrasound signals of different events than other features. (4) Compared with the K-nearest neighbor algorithm and classification tree algorithm, the support vector machine and BP (Back Propagation) neural network algorithm are more suitable for identifying infrasound signals in the Jialongcuo ice avalanche. The research results can provide theoretical support for the application of infrasound-based ice avalanche monitoring technology.
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spelling doaj.art-3c570965ab3a45d9902f8e8cbefb00a52023-11-19T12:48:18ZengMDPI AGRemote Sensing2072-42922023-09-011518448210.3390/rs15184482Research on the Response Characteristics and Identification of Infrasound Signals in the Jialongcuo Ice Avalanche, TibetYifang Zhang0Qiao Chen1Pengcheng Su2Dunlong Liu3Jianzhao Cui4Jilong Chen5Jianrong Ma6Qiao Xing7Fenglin Xu8Yuanchao Fan9Fangqiang Wei10Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, ChinaChongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, ChinaInstitute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, ChinaSchool of Software Engineering, Chengdu University of Information Technology, Chengdu 610041, ChinaShigatse Science and Technology Bureau, Shigatse 857000, ChinaChongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, ChinaChongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, ChinaThe River Affairs Center of Chongqing, Chongqing 401120, ChinaChongqing Environmental Protection Engineering Technology Center for Shale Gas Development, Chongqing 408000, ChinaInstitute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, ChinaChongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, ChinaDue to the inability of remote sensing satellites to monitor avalanches in real time, this study focuses on the glaciers in the rear edge of Jialongcuo, Tibet, and uses infrasound sensors to conduct real-time monitoring of ice avalanches. The following conclusions are drawn: (1) In terms of waveform, compared to background noise, ice avalanche events have a slight left deviation and a slightly steep shape; compared to wind, rain, and floods events, ice avalanche events have less obvious kurtosis and skewness. (2) In terms of frequency distribution, the infrasound frequency generated by ice avalanche events is mainly distributed in the range of 1.5 Hz to 9.5 Hz; compared to other events, ice avalanche events differ some in frequency characteristics. (3) The model based on information entropy and marginal spectral frequency distribution characteristics of infrasound have higher accuracy in signal classification and recognition, as they can better represent the differences between infrasound signals of different events than other features. (4) Compared with the K-nearest neighbor algorithm and classification tree algorithm, the support vector machine and BP (Back Propagation) neural network algorithm are more suitable for identifying infrasound signals in the Jialongcuo ice avalanche. The research results can provide theoretical support for the application of infrasound-based ice avalanche monitoring technology.https://www.mdpi.com/2072-4292/15/18/4482ice avalancheice lake collapseinfrasound signalfeature extractionclassified recognition
spellingShingle Yifang Zhang
Qiao Chen
Pengcheng Su
Dunlong Liu
Jianzhao Cui
Jilong Chen
Jianrong Ma
Qiao Xing
Fenglin Xu
Yuanchao Fan
Fangqiang Wei
Research on the Response Characteristics and Identification of Infrasound Signals in the Jialongcuo Ice Avalanche, Tibet
Remote Sensing
ice avalanche
ice lake collapse
infrasound signal
feature extraction
classified recognition
title Research on the Response Characteristics and Identification of Infrasound Signals in the Jialongcuo Ice Avalanche, Tibet
title_full Research on the Response Characteristics and Identification of Infrasound Signals in the Jialongcuo Ice Avalanche, Tibet
title_fullStr Research on the Response Characteristics and Identification of Infrasound Signals in the Jialongcuo Ice Avalanche, Tibet
title_full_unstemmed Research on the Response Characteristics and Identification of Infrasound Signals in the Jialongcuo Ice Avalanche, Tibet
title_short Research on the Response Characteristics and Identification of Infrasound Signals in the Jialongcuo Ice Avalanche, Tibet
title_sort research on the response characteristics and identification of infrasound signals in the jialongcuo ice avalanche tibet
topic ice avalanche
ice lake collapse
infrasound signal
feature extraction
classified recognition
url https://www.mdpi.com/2072-4292/15/18/4482
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