Debris flows monitoring and localization using infrasonic signals

作     者：LENG Xiao-peng LIU Dun-long WEI Fang-qiang HONG Yong DAI De-fu 

作者机构：Key Laboratory of Mountain Hazards and Earth Surface Process Chinese Academy of Sciences Institute of Mountain Hazards and Environment Chinese Academy of Sciences College of Information Science and Technology Chengdu University of Technology College of Software Engineering Chengdu University of Information and Technology Kunming Dongchuan Debris Flow Prevention and Control Institute 

出 版 物：《Journal of Mountain Science》 (山地科学学报（英文）)

年 卷 期：2017年第14卷第7期

页      面：1279-1291页

核心收录：

学科分类：11[军事学] 080904[工学-电磁场与微波技术] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 110503[军事学-军事通信学] 0810[工学-信息与通信工程] 1105[军事学-军队指挥学] 1104[军事学-战术学] 082601[工学-武器系统与运用工程] 081105[工学-导航、制导与控制] 0837[工学-安全科学与工程] 0826[工学-兵器科学与技术] 081001[工学-通信与信息系统] 081002[工学-信号与信息处理] 0811[工学-控制科学与工程] 

基　　金：supported by the National Natural Science Foundation of China(Grant No.41501114) the General Project of Education Department in Sichuan Province(16ZB0104) the Science and Technology Service Network Initiative(No.KFJ-SW-STS-180) 

主　　题：Debris flow Infrasound Debris flowmonitoring Localization 

摘      要：Infrasonic waves （frequency 〈 2o Hz） are generated during the formation and movement of debris flows, traveling in air with a speed far higher than that of the debris-flow movement. Infrasound monitoring and localization of infrasonic waves can serve as warning properties for debris-flows. Based on the characteristics of infrasonic signals, this study presents a three-point array of infrasound sensors as time-synchronous multiple sensors for acquiring signals. In the meantime, the signals are sorted by mutual correlation of signals to figure out their latency, and by means of array coordinating to Locate the sound source to realize the monitoring and positioning of a debris-flows hazard. The method has been in situ tested and has been proven to be accurate in monitoring debris-flow occurrences and determining their positions, which is particularly effective for pre-event warning of debris-flow hazards.