Method for feature analysis and intelligent recognition of infrasound signals of soil landslides
文献类型：期刊论文
| 作者 | Liu Dunlong3,4; Tang Dan3,4; Zhang Shaojie2 ; Leng Xiaopeng1; Hu Kaiheng2; He Lei3,4
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| 刊名 | BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
 |
| 出版日期 | 2020 |
| 页码 | DOI: 10.1007/s10064-020-01982-w |
| 关键词 | Soil landslides Infrasound signals Environmental interference infrasound signals Feature analysis Intelligent recognition |
| ISSN号 | 1435-9529 |
| DOI | 10.1007/s10064-020-01982-w |
| 产权排序 | 3 |
| 通讯作者 | Tang, Dan(tangdan@cuit.edu.cn) |
| 文献子类 | Article;Early Access |
| 英文摘要 | During the catastrophic failure process, the landslide mass emits low-frequency infrasonic waves, which are characterized by strong penetrating power, low energy attenuation, and long propagation distance, providing a basis for the long-range passive monitoring of the landslide infrasound signal. However, current landslide infrasound monitoring technologies are affected by environmental interference noise and frequently produce false positives. To improve the accuracy of landslide infrasound signal recognition, the monitoring signal needs to be analyzed to determine whether it is a landslide infrasound signal. To this end, this study collected numerous infrasound signals generated in the failure processes of landslide masses of different soil types under different degrees of consolidation through laboratory landslide simulation tests. Furthermore, various types of environmental interference infrasound signals in mountainous areas were gathered by field observations. These signals were divided randomly into training sets and test sets according to a ratio of 3:2. Through the feature analysis of the training set data, the typical features of the landslide infrasound and the environmental interference infrasound in both time and frequency domains were summarized. By constructing the feature vector set and regularization process, as well as using technical means such as the K-nearest neighbor (KNN) classification algorithm, Python, Matlab, and database, an intelligent landslide infrasound signal recognition system was developed. The performance of the recognition system was verified using the test set data. The verification results showed that the system has high recognition accuracy and computational efficiency and can meet the accuracy and real-time requirements of landslide infrasound monitoring. In addition, the recognition results of the system can provide an accurate signal source and reliable information support for landslide infrasound early warning. |
| 电子版国际标准刊号 | 1435-9537 |
| 资助项目 | National Key Research and Development Program of China[2018YFC1505205] ; Project of the Department of Science and Technology of Sichuan Province[2019YFG0505] ; Project of the Department of Science and Technology of Sichuan Province[2018JY0456] ; Scientific Research Fund Sichuan Provincial Education Department[18ZA0091] |
| WOS研究方向 | Engineering ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:000582404400001 |
| 出版者 | SPRINGER HEIDELBERG |
| 资助机构 | National Key Research and Development Program of China ; Project of the Department of Science and Technology of Sichuan Province ; Scientific Research Fund Sichuan Provincial Education Department |
| 源URL | [http://ir.imde.ac.cn/handle/131551/46865]  |
| 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 |
| 通讯作者 | Tang Dan |
| 作者单位 | 1.College of Information Science and Technology, Chengdu University of Technology, Chengdu 610059, China 2.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China; 3.Software Automatic Generation and Intelligent Service Key Laboratory of Sichuan Province, Chengdu 610225, China; 4.College of Software Engineering, Chengdu University of Information and Technology, Chengdu 610225, China; |
| 推荐引用方式 GB/T 7714 | Liu Dunlong,Tang Dan,Zhang Shaojie,et al. Method for feature analysis and intelligent recognition of infrasound signals of soil landslides[J]. BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT,2020:DOI: 10.1007/s10064-020-01982-w. |
| APA | Liu Dunlong,Tang Dan,Zhang Shaojie,Leng Xiaopeng,Hu Kaiheng,&He Lei.(2020).Method for feature analysis and intelligent recognition of infrasound signals of soil landslides.BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT,DOI: 10.1007/s10064-020-01982-w. |
| MLA | Liu Dunlong,et al."Method for feature analysis and intelligent recognition of infrasound signals of soil landslides".BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2020):DOI: 10.1007/s10064-020-01982-w. |
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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