IMHE OpenIR  > 山地灾害与地表过程重点实验室
A Multi-Source Early Warning System of MEMS Based Wireless Monitoring for Rainfall-Induced Landslides
Yang, Zongji1; Shao, Wei2; Qiao, Jianping1; Huang, Dong1; Tian, Hongling1; Lei, Xiaoqin1; Uchimura, Taro3
2017
Source PublicationAPPLIED SCIENCES-BASEL
ISSN2076-3417
Volume7Issue:12
SubtypeArticle
AbstractLandslide monitoring and early warning systems are the most successful countermeasures to reduce fatalities and economic losses from landslide hazards. The traditional strategies such as GPS and extensometers are relatively expensive and difficult to be installed in steep, high mountains. In this study, a MEMS (Micro Electro Mechanical Systems) based multivariate wireless monitoring sensor unit was used to build a monitoring and early warning system for rainfall-triggered landslides, as one of the most practical and cost-effective countermeasures for hard-reached mountains. The multi-source wireless monitoring system and its well-developed equipment were tested in a landslide-prone slope to monitor the triggering of landslides and debris flows in the Wenchuan earthquake region, China. The variations of several state variables were observed, including the soil moisture content, soil matric suction, rainfall, inclination and ground vibration. The results of a slope stability analysis were benchmarked with the in situ measurements to identify the multivariate early warning parameters for rainfall-induced landslides. The proposed early warning system for the slope stability analysis can provide a more accurate prediction for rainfall-induced landslides and debris flows in earthquake hit regions.
KeywordWireless Early Warning System Portable Sensor Unit Cost-effectiveequipment Multivariate Thresholds Rainfall-induced Landslides
WOS HeadingsScience & Technology ; Physical Sciences ; Technology
DOI10.3390/app7121234
WOS Subject ExtendedChemistry ; Materials Science ; Physics
Indexed BySCI
WOS KeywordSTABILITY ; SLOPE ; FLOW
Language英语
Quartile3区
TOP
WOS SubjectChemistry, Multidisciplinary ; Materials Science, Multidisciplinary ; Physics, Applied
WOS IDWOS:000419175800030
Funding OrganizationNational Natural Science Foundation of China(41771021 ; IMHE(SDSQB-2016-01 ; Science and Technology Service Network Initiative of Chinese Academy of Science(KFJ-EW-STS-094 ; 41471012) ; SDS-135-1701 ; KFJ-STS-ZDTP-015) ; SDS-135-1704)
PublisherMDPI AG
Citation statistics
Cited Times:10[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/20649
Collection山地灾害与地表过程重点实验室
Corresponding AuthorYang, Zongji
Affiliation1.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Sichuan, Peoples R China
2.Nanjing Univ Informat Sci & Technol, Coll Hydrometeorol, Nanjing 210044, Jiangsu, Peoples R China
3.Saitama Univ, Dept Civil & Environm Engn, Saitama 3388570, Japan
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Corresponding 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
Yang, Zongji,Shao, Wei,Qiao, Jianping,et al. A Multi-Source Early Warning System of MEMS Based Wireless Monitoring for Rainfall-Induced Landslides[J]. APPLIED SCIENCES-BASEL,2017,7(12).
APA Yang, Zongji.,Shao, Wei.,Qiao, Jianping.,Huang, Dong.,Tian, Hongling.,...&Uchimura, Taro.(2017).A Multi-Source Early Warning System of MEMS Based Wireless Monitoring for Rainfall-Induced Landslides.APPLIED SCIENCES-BASEL,7(12).
MLA Yang, Zongji,et al."A Multi-Source Early Warning System of MEMS Based Wireless Monitoring for Rainfall-Induced Landslides".APPLIED SCIENCES-BASEL 7.12(2017).
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