作者: Dun-long Liu , Xiao-peng Leng , Fang-qiang Wei , Shao-jie Zhang , Yong Hong
DOI: 10.1007/S11629-015-3471-4
关键词:
摘要: Low frequency infrasonic waves are emitted during the formation and movement of debris flows, which detectable in a radius several kilometers, thereby to serve as precondition for their remote monitoring. However, false message often arises from simple mechanics alarms under ambient noise interference. To improve accuracy infrasound monitoring early-warning against it is necessary analyze monitor information identify them signals characteristic flows. Therefore, large amount flow noises have been collected different sources analysis sum up spectra, sound pressures, waveforms, time duration other correlated characteristics so specify key parameters completing development recognition system identifying possible existence signals. The performance has verified by simulating tests long-term in-situ flows Jiangjia Gully, Dongchuan, China be high applicability. can provide local government residents with accurate precautionary about preparation disaster mitigation minimizing loss life property.