Selection of seismic noise recording by K-means
The automatic selection of elementary analysis windows in continuous seismic noise recordings, aiming to obtain the most precise average horizontal-to-vertical spectral ratio (HVSR, also named H/V) curve, holds great importance in conducting HVSR investigations in urban areas. To achieve this goal,...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
|
| Series: | Case Studies in Construction Materials |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214509523005430 |
| _version_ | 1797454629759352832 |
|---|---|
| author | Qian Huang Shengyang Chen Ya Li |
| author_facet | Qian Huang Shengyang Chen Ya Li |
| author_sort | Qian Huang |
| collection | DOAJ |
| description | The automatic selection of elementary analysis windows in continuous seismic noise recordings, aiming to obtain the most precise average horizontal-to-vertical spectral ratio (HVSR, also named H/V) curve, holds great importance in conducting HVSR investigations in urban areas. To achieve this goal, an automatic procedure utilizing K-means cluster analysis is proposed. The performance of K-means and hierarchical clustering on clustering the spectral ratio curves was compared and analyzed first. Then the characteristic of spectral ratio curves generated by anthropogenic sources (EHVSR) and site information (SHVSR) was examined. Based on this , an automatic procedure for selecting SHVSR curves using K-means was presented. The procedure was applied to 24 sites. The results indicated that at 23 sites, the predominant frequency of the SHVSR curve was much closer to the predominant frequency of the site transfer function than that of the noise HVSR. Moreover, at 21 of these sites, the difference between the predominant frequency of the SHVSR curve and the predominant frequency of the transfer function was less than 2 Hz. |
| first_indexed | 2024-03-09T15:39:55Z |
| format | Article |
| id | doaj.art-736aea11d4c74b78883313db55bf80d4 |
| institution | Directory Open Access Journal |
| issn | 2214-5095 |
| language | English |
| last_indexed | 2024-03-09T15:39:55Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Construction Materials |
| spelling | doaj.art-736aea11d4c74b78883313db55bf80d42023-11-25T04:48:27ZengElsevierCase Studies in Construction Materials2214-50952023-12-0119e02363Selection of seismic noise recording by K-meansQian Huang0Shengyang Chen1Ya Li2College of Civil Engineering, Tongji University, Shanghai 200092, ChinaCollege of Civil Engineering, Tongji University, Shanghai 200092, ChinaSchool of Civil Engineering, Shanghai Normal University, Shanghai 201418, China; Corresponding author.The automatic selection of elementary analysis windows in continuous seismic noise recordings, aiming to obtain the most precise average horizontal-to-vertical spectral ratio (HVSR, also named H/V) curve, holds great importance in conducting HVSR investigations in urban areas. To achieve this goal, an automatic procedure utilizing K-means cluster analysis is proposed. The performance of K-means and hierarchical clustering on clustering the spectral ratio curves was compared and analyzed first. Then the characteristic of spectral ratio curves generated by anthropogenic sources (EHVSR) and site information (SHVSR) was examined. Based on this , an automatic procedure for selecting SHVSR curves using K-means was presented. The procedure was applied to 24 sites. The results indicated that at 23 sites, the predominant frequency of the SHVSR curve was much closer to the predominant frequency of the site transfer function than that of the noise HVSR. Moreover, at 21 of these sites, the difference between the predominant frequency of the SHVSR curve and the predominant frequency of the transfer function was less than 2 Hz.http://www.sciencedirect.com/science/article/pii/S2214509523005430Seismic noiseK-meansCluster analysisAutomatic procedurePredominant frequency |
| spellingShingle | Qian Huang Shengyang Chen Ya Li Selection of seismic noise recording by K-means Case Studies in Construction Materials Seismic noise K-means Cluster analysis Automatic procedure Predominant frequency |
| title | Selection of seismic noise recording by K-means |
| title_full | Selection of seismic noise recording by K-means |
| title_fullStr | Selection of seismic noise recording by K-means |
| title_full_unstemmed | Selection of seismic noise recording by K-means |
| title_short | Selection of seismic noise recording by K-means |
| title_sort | selection of seismic noise recording by k means |
| topic | Seismic noise K-means Cluster analysis Automatic procedure Predominant frequency |
| url | http://www.sciencedirect.com/science/article/pii/S2214509523005430 |
| work_keys_str_mv | AT qianhuang selectionofseismicnoiserecordingbykmeans AT shengyangchen selectionofseismicnoiserecordingbykmeans AT yali selectionofseismicnoiserecordingbykmeans |