Real-time Debris Flow Warning System Based on Infrasound Monitoring

doi:10.3969/j.issn.1006-2475.2020.03.002

Abstract

Abstract: False alarm often arises from the current debris flow infrasound alarms under the environmental noise interference; therefore, it cannot be put into practical application. To improve the accuracy of debris flow infrasound monitoring and warning, based on the principle of characteristics difference of infrasound signals generated from debris flow and environmental interference, combining microcontroller with upper computer, an efficient and reliable real-time debris flow early-warning system based on infrasonic monitoring is designed and realized by means of hybrid programming, database and secondary development of GIS, etc. The recognition performance of the system has been verified by long-term in-situ monitoring of debris flows in Jiangjia Gully, Dongchuan, China. The verified results show that the system not only has the characteristics of stable operation, timely response and real-time recognition, but also has high warning accuracy and low false alarm rate, during two years of field monitoring, there were only 18 false positives and none was missed.

Key words: debris flow, infrasound, interference noise, monitoring and warning, signal recognition

CLC Number:

TP274+.53

SHANG Dong-fang1, LIU Dun-long2, 3, HAN Xue1, WANG Rui-xi1. Real-time Debris Flow Warning System Based on Infrasound Monitoring[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2020.03.002.

References

［1］韦方强. 城镇泥石流减灾决策支持系统［D］. 成都：西南交通大学, 2002.
［2］方华. 泥石流监测预警技术研究［J］. 人民黄河, 2011,33(10):63-65.
［3］钟敦伦,张金山,谢洪,等. 泥石流警报技术探索［J］. 山地学报, 2011,29(2): 234-242.
［4］ KOGELNIG A, HBL J, SURIACH E, et al. A study of infrasonic signals of debris flow［C］// Proceedings of the 5th International Conference on Debris-Flow Hazards: Mitigation, Mechanics, Prediction and Assessment. 2010:563-572.
［5］ COCHRAN E S, SHEARER P M. Infrasound events detected with the Southern California Seismic Network［J］. Geophysical Research Letters, 2016,33(19):L19803.
［6］ MATOZA R S, HEDLIN M A H, GARCS M A. An infrasound array study of Mount St. Helens［J］. Journal of Volcanology and Geothermal Research, 2007,160(3-4):249-262. 〖HJ1.5mm〗
［7］ MATOZA R S, GARCS M A, CHOUET B A, et al. The source of infrasound associated with long-period events at Mount St. Helens［J］. Journal of Geophysical Research 2009,114:B04305.
［8］ RIPEPE M, DE ANGELIS S, LACANNA G, et al. Observation of infrasonic and gravity waves at Soufrière Hills Volcano, Montserrat［J］. Geophysical Research Letters, 2010,37(19): L00E14.
［9］ ARATTANO M, MARCHI L, CAVALLI M. Analysis of debris-flow recordings in an instrumented basin: Confirmations and new findings［J］. Natural Hazards and Earth System Science, 2012,12(3):679-686.
［10］ZHU X, XU Q, TANG M G, et al. Experimental study of infrasound wave generated by typical rock fracture［J］. Rock and Soil Mechanics, 2013,34(5):1306-1312.
［11］EVERS L G. The Inaudible Symphony: On the Detection and Source Identification of Atmospheric Infrasound［D］. Delft University of Technology, Netherlands, 2008.
［12］LE PICHON A, HERRY P, MIALLE P, et al. Infrasound associated with 2004-2005 large Sumatra earthquakes and tsunami［J］. Geophysical Research Letters, 2005,32(19):L19802.
［13］LE PICHON A, BLANC E, HAUCHECORNE A. Infrasound Monitoring for Atmospheric Studies［M］. Springer Science & Business Media, 2010.
［14］SCOTT E D, HAYWARD C T, KUBICHEK R F, et al. Results of recent infrasound avalanche monitoring studies［C］// Proceedings of International Snow Science Workshop, Jackson Hole, Wyoming. 2004:696-704.
［15］SCOTT E D, HAYWARD C T, KUBICHEK R F, et al. Single and multiple sensor identification of avalanche-generated infrasound［J］. Cold Regions Science and Technology, 2007,47(1):159-170.
［16］ULIVIERI G, MARCHETTI E, RIPEPE M, et al. Monitoring snow avalanches in Northwestern Italian Alps using an infrasound array［J］. Cold Regions Science and Technology, 2011,69(2-3):177-183.
［17］林琳,杨亦春. 大气中一种低频次声波观测研究［J］. 声学学报, 2010,35(2):200-207.
［18］吕君,郭泉,冯浩楠,等. 北京地震前的异常次声波［J］. 地球物理学报, 2012,55(10):3379-3385.
［19］青建华,程先友,庞新良. 核爆次声背景噪声信号特征分析［J］. 核电子学与探测技术, 2013,33(5):594-597.
［20］ZHANG S C, HONG Y, YU B. Detecting infrasound emission of debris flow for warning purposes ［C］//Proceedings of International Symposium Interpraevent. 2004:359-364.
［21］CHOU H T, CHEUNG Y L, ZHANG S C. Calibration of infrasound monitoring system and acoustic characteristics of debris-flow movement by field studies［C］// Proceedings of the 4th International Conference on Debris-Flow Hazards Mitigation:Mechanics, Prediction, and Assessment. 2007:571-580.
［22］CHOU H T, CHANG Y L, ZHANG S C. Acoustic signals and geophone response of rainfall-induced debris flows［J］. Journal of the Chinese Institute of Engineers, 2013,36(3):335-347.
［23］HBL J, ZHANG S C, KOGELNIG A. Infrasound measurements of debris flow［J］. WIT Transactions on Engineering Sciences, 2008,60: 3-12.
［24］章书成,余南阳. 泥石流早期警报系统［J］, 山地学报, 2010, 28(3):379-384.
［25］李朝安,胡卸文,王良玮. 山区铁路沿线泥石流次声监测预警方法［J］. 声学技术, 2012,31(4):351-356.
［26］LIU D L, LENG X P, WEI F Q, et al. Monitoring and recognition of debris flow infrasonic signals［J］. Journal of Mountain Science, 2015,12(4):797-815.
［27］LIU D L, LENG X P, WEI F Q, et al. Visualized localization and tracking of debris flow movement based on infrasound monitoring［J］. Landslides, 2018,15(5):879-893.

[1]	ZENG Ding, ZENG Yong. Prediction of Debris Flow Based on Improved Extreme Learning Machine [J]. Computer and Modernization, 2020, 0(09): 95-99.
[2]	GUO Chun-lu, YUE Xiao-bing. Automatic Recognition of Heart Sound Signal Based on Support Vector Machine [J]. Computer and Modernization, 2016, 0(6): 36-39.
[3]	XU Wen-jie;GUAN Hong-yun;WU Xiao-lin. Analysis of Debris Flow Infrasound Signal Based on Time-frequency Analysis Methods [J]. Computer and Modernization, 2013, 1(4): 36-39.
[4]	MA Yanjun;LV Shuang;FANG Guoqiang;XIANG Jitao. Design and Realization of Lightning Realtime Monitoring and  Warning System Based on MapXtreme [J]. Computer and Modernization, 2011, 194(10): 199-202.
[5]	QIU Yong-hua. Coalmine Gas Density Realtime Monitor Alarm System Based on LabVIEW [J]. Computer and Modernization, 2010, 1(8): 117-119.
[6]	ZHANG Zheng-chao;;GUAN Xin;;HE You;LI Ying-sheng;GUO Wei-feng. Study on Radar Emitter Signal Recognition Based on Rough Sets and Grey Association Theory [J]. Computer and Modernization, 2010, 1(4): 0-5.