Ye Liu , Yefei Ren , Daren Wang , Ruizhi Wen , Hongwei Wang
{"title":"解决“浅岩层”站点的VS30估算挑战:一种新的基于回归的外推方法,用于30米深度内的岩层站点","authors":"Ye Liu , Yefei Ren , Daren Wang , Ruizhi Wen , Hongwei Wang","doi":"10.1016/j.enggeo.2025.108150","DOIUrl":null,"url":null,"abstract":"<div><div>Accurately estimation of <em>V</em><sub>S30</sub> for shallow shear-wave velocity profiles (<30 m) is essential for seismic site classification in earthquake engineering. Traditional extrapolation models, such as the constant and linear extrapolation methods, do not specifically account for sites with shallow rock layers. To improve estimation accuracy, this study proposes a new extrapolation model specifically designed for such sites. Firstly, using borehole data from Xinjiang, China, it was demonstrated that traditional models often underestimate <em>V</em><sub>S30</sub> for this type of site, with discrepancies exceeding 16 %. This highlights the importance of considering velocity gradient changes between soil and rock layers. The new model developed through regression analysis of data from 224 boreholes across China, improves <em>V</em><sub>S30</sub> estimation accuracy and is validated through residual analysis. Additionally, the model's regional applicability is confirmed using data from KiK-net sites in Japan. The findings underscore the need for tailored extrapolation models that consider regional geological conditions, offering a more reliable method for estimating <em>V</em><sub>S30</sub>, critical for seismic site classification and ground motion prediction.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"354 ","pages":"Article 108150"},"PeriodicalIF":8.4000,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Addressing VS30 estimation challenges for ‘Shallow Rocky-Layered’ sites: A novel regression-based extrapolation approach for sites with rock layer within a depth of 30 m\",\"authors\":\"Ye Liu , Yefei Ren , Daren Wang , Ruizhi Wen , Hongwei Wang\",\"doi\":\"10.1016/j.enggeo.2025.108150\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Accurately estimation of <em>V</em><sub>S30</sub> for shallow shear-wave velocity profiles (<30 m) is essential for seismic site classification in earthquake engineering. Traditional extrapolation models, such as the constant and linear extrapolation methods, do not specifically account for sites with shallow rock layers. To improve estimation accuracy, this study proposes a new extrapolation model specifically designed for such sites. Firstly, using borehole data from Xinjiang, China, it was demonstrated that traditional models often underestimate <em>V</em><sub>S30</sub> for this type of site, with discrepancies exceeding 16 %. This highlights the importance of considering velocity gradient changes between soil and rock layers. The new model developed through regression analysis of data from 224 boreholes across China, improves <em>V</em><sub>S30</sub> estimation accuracy and is validated through residual analysis. Additionally, the model's regional applicability is confirmed using data from KiK-net sites in Japan. The findings underscore the need for tailored extrapolation models that consider regional geological conditions, offering a more reliable method for estimating <em>V</em><sub>S30</sub>, critical for seismic site classification and ground motion prediction.</div></div>\",\"PeriodicalId\":11567,\"journal\":{\"name\":\"Engineering Geology\",\"volume\":\"354 \",\"pages\":\"Article 108150\"},\"PeriodicalIF\":8.4000,\"publicationDate\":\"2025-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Engineering Geology\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0013795225002467\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, GEOLOGICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Geology","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0013795225002467","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, GEOLOGICAL","Score":null,"Total":0}
Addressing VS30 estimation challenges for ‘Shallow Rocky-Layered’ sites: A novel regression-based extrapolation approach for sites with rock layer within a depth of 30 m
Accurately estimation of VS30 for shallow shear-wave velocity profiles (<30 m) is essential for seismic site classification in earthquake engineering. Traditional extrapolation models, such as the constant and linear extrapolation methods, do not specifically account for sites with shallow rock layers. To improve estimation accuracy, this study proposes a new extrapolation model specifically designed for such sites. Firstly, using borehole data from Xinjiang, China, it was demonstrated that traditional models often underestimate VS30 for this type of site, with discrepancies exceeding 16 %. This highlights the importance of considering velocity gradient changes between soil and rock layers. The new model developed through regression analysis of data from 224 boreholes across China, improves VS30 estimation accuracy and is validated through residual analysis. Additionally, the model's regional applicability is confirmed using data from KiK-net sites in Japan. The findings underscore the need for tailored extrapolation models that consider regional geological conditions, offering a more reliable method for estimating VS30, critical for seismic site classification and ground motion prediction.
期刊介绍:
Engineering Geology, an international interdisciplinary journal, serves as a bridge between earth sciences and engineering, focusing on geological and geotechnical engineering. It welcomes studies with relevance to engineering, environmental concerns, and safety, catering to engineering geologists with backgrounds in geology or civil/mining engineering. Topics include applied geomorphology, structural geology, geophysics, geochemistry, environmental geology, hydrogeology, land use planning, natural hazards, remote sensing, soil and rock mechanics, and applied geotechnical engineering. The journal provides a platform for research at the intersection of geology and engineering disciplines.