Skip to main content
main-content

Tipp

Weitere Artikel dieser Ausgabe durch Wischen aufrufen

Erschienen in: Bulletin of Engineering Geology and the Environment 2/2021

20.10.2020 | Original Paper

Method for feature analysis and intelligent recognition of infrasound signals of soil landslides

verfasst von: Dunlong Liu, Dan Tang, Shaojie Zhang, Xiaopeng Leng, Kaiheng Hu, Lei He

Erschienen in: Bulletin of Engineering Geology and the Environment | Ausgabe 2/2021

Einloggen, um Zugang zu erhalten
share
TEILEN

Abstract

During the catastrophic failure process, the landslide mass emits low-frequency infrasonic waves, which are characterized by strong penetrating power, low energy attenuation, and long propagation distance, providing a basis for the long-range passive monitoring of the landslide infrasound signal. However, current landslide infrasound monitoring technologies are affected by environmental interference noise and frequently produce false positives. To improve the accuracy of landslide infrasound signal recognition, the monitoring signal needs to be analyzed to determine whether it is a landslide infrasound signal. To this end, this study collected numerous infrasound signals generated in the failure processes of landslide masses of different soil types under different degrees of consolidation through laboratory landslide simulation tests. Furthermore, various types of environmental interference infrasound signals in mountainous areas were gathered by field observations. These signals were divided randomly into training sets and test sets according to a ratio of 3:2. Through the feature analysis of the training set data, the typical features of the landslide infrasound and the environmental interference infrasound in both time and frequency domains were summarized. By constructing the feature vector set and regularization process, as well as using technical means such as the K-nearest neighbor (KNN) classification algorithm, Python, Matlab, and database, an intelligent landslide infrasound signal recognition system was developed. The performance of the recognition system was verified using the test set data. The verification results showed that the system has high recognition accuracy and computational efficiency and can meet the accuracy and real-time requirements of landslide infrasound monitoring. In addition, the recognition results of the system can provide an accurate signal source and reliable information support for landslide infrasound early warning.
Literatur
Zurück zum Zitat Chou HT, Cheung YL, Zhang SC (2007) Calibration of infrasound monitoring system and acoustic characteristics of debris-flow movement by field studies. In: Debris-flow hazards mitigation: mechanics, prediction, and assessment. Millpress, Rotterdam, pp 571–580 Chou HT, Cheung YL, Zhang SC (2007) Calibration of infrasound monitoring system and acoustic characteristics of debris-flow movement by field studies. In: Debris-flow hazards mitigation: mechanics, prediction, and assessment. Millpress, Rotterdam, pp 571–580
Zurück zum Zitat Christie DR, Veloso JAV, Campus P, Bell M, Hoffmann T, Langlois A, Martysevich P, Demirovic E, Carvalho J (2001) Detection of atmospheric nuclear explosions: the infrasound component of the international monitoring system. Kerntechnik 66(3):96–101 Christie DR, Veloso JAV, Campus P, Bell M, Hoffmann T, Langlois A, Martysevich P, Demirovic E, Carvalho J (2001) Detection of atmospheric nuclear explosions: the infrasound component of the international monitoring system. Kerntechnik 66(3):96–101
Zurück zum Zitat Comey RH, Mendenhall T (2004) Recent studies using infrasound sensors to remotely monitor avalanche activity. International Snow Science Workshop Proceedings, Jackson, WY, pp 640–646 Comey RH, Mendenhall T (2004) Recent studies using infrasound sensors to remotely monitor avalanche activity. International Snow Science Workshop Proceedings, Jackson, WY, pp 640–646
Zurück zum Zitat Cui WJ, Teng PX, Han BK (2018) Characteristics of infrasound signals just before landslide. Tech Acoust 37(2):157–162 Cui WJ, Teng PX, Han BK (2018) Characteristics of infrasound signals just before landslide. Tech Acoust 37(2):157–162
Zurück zum Zitat Evers LG (2008) The inaudible symphony: on the detection and source identification of atmospheric infrasound. Thesis for Degree of Doctor of Delft University of Technology, Netherlands Evers LG (2008) The inaudible symphony: on the detection and source identification of atmospheric infrasound. Thesis for Degree of Doctor of Delft University of Technology, Netherlands
Zurück zum Zitat He MC (2009) Real-time remote monitoring and forecasting system for geological disasters of landslides and its engineering application. Chin J Rock Mech Eng 28(6):1081–1090 (In Chinese) He MC (2009) Real-time remote monitoring and forecasting system for geological disasters of landslides and its engineering application. Chin J Rock Mech Eng 28(6):1081–1090 (In Chinese)
Zurück zum Zitat Hübl J, Zhang SC, Kogelnig A (2008) Infrasound measurements of debris flow. WIT Transactions on Engineering Sciences, Second International Conference on Monitoring, Simulation, Prevention and Remediation of Dense and Debris Flows II 60:3–12. https://​doi.​org/​10.​2495/​DEB080011 Hübl J, Zhang SC, Kogelnig A (2008) Infrasound measurements of debris flow. WIT Transactions on Engineering Sciences, Second International Conference on Monitoring, Simulation, Prevention and Remediation of Dense and Debris Flows II 60:3–12. https://​doi.​org/​10.​2495/​DEB080011
Zurück zum Zitat Johnson JB (2003) Generation and propagation of infrasonic airwaves from volcanic explosions. J Volcanol Geotherm Res 121(1):1–14 CrossRef Johnson JB (2003) Generation and propagation of infrasonic airwaves from volcanic explosions. J Volcanol Geotherm Res 121(1):1–14 CrossRef
Zurück zum Zitat Li CA, Hu YW, Wang LW (2012) Infrasound monitoring and early warning of debris flow along montanic railway line. Tech Acoust 31(4):351–356 (In Chinese) Li CA, Hu YW, Wang LW (2012) Infrasound monitoring and early warning of debris flow along montanic railway line. Tech Acoust 31(4):351–356 (In Chinese)
Zurück zum Zitat Lin L, Yang YC (2010) Observation & study of a kind of low-frequency atmospheric infrasonic waves. ACTA ACUSTICA 35(2):200–207 (In Chinese) Lin L, Yang YC (2010) Observation & study of a kind of low-frequency atmospheric infrasonic waves. ACTA ACUSTICA 35(2):200–207 (In Chinese)
Zurück zum Zitat Liu DL, Leng XP, Wei FQ, Zhang SJ, Hong Y (2015) Monitoring and recognition of debris flow infrasonic signals. J Mt Sci 12(4):797–815 CrossRef Liu DL, Leng XP, Wei FQ, Zhang SJ, Hong Y (2015) Monitoring and recognition of debris flow infrasonic signals. J Mt Sci 12(4):797–815 CrossRef
Zurück zum Zitat Lv J, Guo Q, Feng HN, Teng PX, Yang YC (2012) Anomalous infrasonic waves before a small earthquake in Beijing. Chin J Geophys 55(10):3379–3385 (In Chinese) Lv J, Guo Q, Feng HN, Teng PX, Yang YC (2012) Anomalous infrasonic waves before a small earthquake in Beijing. Chin J Geophys 55(10):3379–3385 (In Chinese)
Zurück zum Zitat Qing JH, Cheng YX, Pang XL (2013) Analysis of the characteristics of the background noise from a nuclear explosion monitoring. Nucl Electron Detect Technol 33(5):594–597 (In Chinese) Qing JH, Cheng YX, Pang XL (2013) Analysis of the characteristics of the background noise from a nuclear explosion monitoring. Nucl Electron Detect Technol 33(5):594–597 (In Chinese)
Zurück zum Zitat Ren JZ (2012) Research of landslide monitoring early warning based on sonic technology. Thesis for Degree of Master of Chengdu University of Technology. (In Chinese) Ren JZ (2012) Research of landslide monitoring early warning based on sonic technology. Thesis for Degree of Master of Chengdu University of Technology. (In Chinese)
Zurück zum Zitat Scott ED, Hayward CT, Kubichek RF, Hamann JC, Pierre JW, Comey B, Mendenhall T (2004) Results of recent infrasound avalanche monitoring studies. Proceedings: International Snow Science Workshop, Jackson Hole, Wyoming, pp 696–704 Scott ED, Hayward CT, Kubichek RF, Hamann JC, Pierre JW, Comey B, Mendenhall T (2004) Results of recent infrasound avalanche monitoring studies. Proceedings: International Snow Science Workshop, Jackson Hole, Wyoming, pp 696–704
Zurück zum Zitat Su F, Tian W (2002) Measurement of three-dimensional dynamic frequency spectra of infrasonic waves produced by winds with 4-8 wind scales. J Univ Petroleum, China 26(1):108–111 (In Chinese) Su F, Tian W (2002) Measurement of three-dimensional dynamic frequency spectra of infrasonic waves produced by winds with 4-8 wind scales. J Univ Petroleum, China 26(1):108–111 (In Chinese)
Zurück zum Zitat Tong N (2003) Features and applications of infrasound. Tech Acoust 22(3):199–202 (In Chinese) Tong N (2003) Features and applications of infrasound. Tech Acoust 22(3):199–202 (In Chinese)
Zurück zum Zitat Zhang SC, Yu NY (2008) Infrasonic behavior of debris flow and infrasonic warning device. In SS Chernomorets. Proceeding of international conference: debris flow: disasters, risk, forecast, protection, Pyatigorsk, Russia, pp 22–29 Zhang SC, Yu NY (2008) Infrasonic behavior of debris flow and infrasonic warning device. In SS Chernomorets. Proceeding of international conference: debris flow: disasters, risk, forecast, protection, Pyatigorsk, Russia, pp 22–29
Zurück zum Zitat Zhu X (2014) Study on characteristics and detecting technology of infrasonic signal produced by rock fracture. Thesis for Degree of Doctor of Chengdu University of Technology. (In Chinese) Zhu X (2014) Study on characteristics and detecting technology of infrasonic signal produced by rock fracture. Thesis for Degree of Doctor of Chengdu University of Technology. (In Chinese)
Zurück zum Zitat Zhu X, Xu Q, Tang MG, Fu XM, Zhou JB (2013) Experimental study of infrasound wave generated by typical rock fracture. Rock Soil Mech 34(5):1306–1312 (In Chinese) Zhu X, Xu Q, Tang MG, Fu XM, Zhou JB (2013) Experimental study of infrasound wave generated by typical rock fracture. Rock Soil Mech 34(5):1306–1312 (In Chinese)
Metadaten
Titel
Method for feature analysis and intelligent recognition of infrasound signals of soil landslides
verfasst von
Dunlong Liu
Dan Tang
Shaojie Zhang
Xiaopeng Leng
Kaiheng Hu
Lei He
Publikationsdatum
20.10.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Bulletin of Engineering Geology and the Environment / Ausgabe 2/2021
Print ISSN: 1435-9529
Elektronische ISSN: 1435-9537
DOI
https://doi.org/10.1007/s10064-020-01982-w