A Multi-Source Early Warning System of MEMS Based Wireless Monitoring for Rainfall-Induced Landslides
文献类型：期刊论文
| 作者 | Yang, Zongji1 ; Shao, Wei2; Qiao, Jianping1; Huang, Dong1; Tian, Hongling1; Lei, Xiaoqin1; Uchimura, Taro3
|
| 刊名 | APPLIED SCIENCES-BASEL
 |
| 出版日期 | 2017-12-01 |
| 卷号 | 7期号:12页码:1234 |
| 关键词 | Wireless Early Warning System Portable Sensor Unit Cost-effectiveequipment Multivariate Thresholds Rainfall-induced Landslides |
| ISSN号 | 2076-3417 |
| DOI | 10.3390/app7121234 |
| 通讯作者 | Zongji Yang |
| 英文摘要 | Landslide 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. |
| 学科主题 | 地球科学 |
| 语种 | 英语 |
| WOS记录号 | WOS:000419175800030 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/20649]  |
| 专题 | 成都山地灾害与环境研究所_山地灾害与地表过程重点实验室 |
| 作者单位 | 1.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 |
| 推荐引用方式 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):1234. |
| 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),1234. |
| 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):1234. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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