IMHE OpenIR  > Journal of Mountain Science  > Journal of Mountain Science-2015  > Vol12 No.4
Monitoring and recognition of debris flow infrasonic signals
Liu Dun-long1,2,3; Leng Xiao-peng2,4; Wei Fang-qiang2; Zhang Shao-jie2; Hong Yong2
Corresponding AuthorWEI Fang-qiang
2015
Source PublicationJOURNAL OF MOUNTAIN SCIENCE
ISSN1672-6316
EISSN1993-0321
Volume12Issue:4Pages:797-815
SubtypeArticle
AbstractLow frequency infrasonic waves are emitted during the formation and movement of debris flows, which are detectable in a radius of several kilometers, thereby to serve as the precondition for their remote monitoring. However, false message often arises from the simple mechanics of alarms under the ambient noise interference. To improve the accuracy of infrasound monitoring for early-warning against debris flows, it is necessary to analyze the monitor information to identify in them the infrasonic signals characteristic of debris flows. Therefore, a large amount of debris flow infrasound and ambient noises have been collected from different sources for analysis to sum up their frequency spectra, sound pressures, waveforms, time duration and other correlated characteristics so as to specify the key characteristic parameters for different sound sources in completing the development of the recognition system of debris flow infrasonic signals for identifying their possible existence in the monitor signals. The recognition performance of the system has been verified by simulating tests and long-term in-situ monitoring of debris flows in Jiangjia Gully, Dongchuan, China to be of high accuracy and applicability. The recognition system can provide the local government and residents with accurate precautionary information about debris flows in preparation for disaster mitigation and minimizing the loss of life and property.
KeywordDebris Flow Infrasound Interference Noise Monitoring Signal Recognition
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
DOI10.1007/s11629-015-3471-4
WOS Subject ExtendedEnvironmental Sciences & Ecology
Indexed BySCI
WOS KeywordITALIAN ALPS ; EARTHQUAKES ; EXPLOSIONS ; SYSTEM ; WAVES ; ARRAY
Language英语
Quartile4区
TOP
WOS SubjectEnvironmental Sciences
WOS IDWOS:000358671900002
Funding OrganizationNational Science and Technology Support Program(2011BAK12B00) ; International Cooperation Project of the Department of Science and Technology of Sichuan Province(2009HH0005) ; Project of the Department of Science and Technology of Sichuan Province(2015JY0235)
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/10629
CollectionJournal of Mountain Science_Journal of Mountain Science-2015_Vol12 No.4
山地灾害与地表过程重点实验室
Affiliation1.Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China
2.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Chengdu Univ Technol, Coll Informat Sci & Technol, Chengdu 610059, Peoples R China
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Liu Dun-long,Leng Xiao-peng,Wei Fang-qiang,et al. Monitoring and recognition of debris flow infrasonic signals[J]. JOURNAL OF MOUNTAIN SCIENCE,2015,12(4):797-815.
APA Liu Dun-long,Leng Xiao-peng,Wei Fang-qiang,Zhang Shao-jie,&Hong Yong.(2015).Monitoring and recognition of debris flow infrasonic signals.JOURNAL OF MOUNTAIN SCIENCE,12(4),797-815.
MLA Liu Dun-long,et al."Monitoring and recognition of debris flow infrasonic signals".JOURNAL OF MOUNTAIN SCIENCE 12.4(2015):797-815.
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