Characterization of HVSR and VRSR in the Loess Plateau of China Based on Strong-Motion Data

In recent decades, China has collected extensive strong-motion data from the Loess Plateau, which is valuable for understanding the dynamic characteristics of loess sites and the effects of site conditions on seismic motions. The horizontal-to-vertical Fourier spectrum ratio (HVSR) and the horizonta...

Full description

Saved in:
Bibliographic Details
Main Authors: Qi Li, Jingshan Bo, Da Peng
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/1/67
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841549464493359104
author Qi Li
Jingshan Bo
Da Peng
author_facet Qi Li
Jingshan Bo
Da Peng
author_sort Qi Li
collection DOAJ
description In recent decades, China has collected extensive strong-motion data from the Loess Plateau, which is valuable for understanding the dynamic characteristics of loess sites and the effects of site conditions on seismic motions. The horizontal-to-vertical Fourier spectrum ratio (HVSR) and the horizontal-to-vertical velocity response spectrum ratio (VRSR) are widely used to study site dynamics. This study analyzes strong-motion data from the Loess Plateau to identify key features of the HVSR and VRSR curves. The results show that these spectral ratio curves effectively capture the dynamic behaviors of loess sites, minimizing the influences of earthquake magnitude and propagation path. While the spectral ratio peaks are less affected by magnitude, epicentral distance, and focal depth, they are significantly influenced by site conditions. Conversely, the dominant periods estimated from these curves are strongly influenced by magnitude, epicentral distance, and focal depth. For sites located on the Loess Plateau, the average amplification factor is approximately 3, with a mean predominant period of 0.4 s. These results provide valuable insights into the dynamic characteristics of loess sites and have practical implications for seismic design in the region.
format Article
id doaj-art-c84c6956c7f7479eb8c8d2e79a0dc713
institution Kabale University
issn 2076-3417
language English
publishDate 2024-12-01
publisher MDPI AG
record_format Article
series Applied Sciences
spelling doaj-art-c84c6956c7f7479eb8c8d2e79a0dc7132025-01-10T13:14:20ZengMDPI AGApplied Sciences2076-34172024-12-011516710.3390/app15010067Characterization of HVSR and VRSR in the Loess Plateau of China Based on Strong-Motion DataQi Li0Jingshan Bo1Da Peng2Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, ChinaKey Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, ChinaCollege of Geological Engineering, Institute of Disaster Prevention, Langfang 065201, ChinaIn recent decades, China has collected extensive strong-motion data from the Loess Plateau, which is valuable for understanding the dynamic characteristics of loess sites and the effects of site conditions on seismic motions. The horizontal-to-vertical Fourier spectrum ratio (HVSR) and the horizontal-to-vertical velocity response spectrum ratio (VRSR) are widely used to study site dynamics. This study analyzes strong-motion data from the Loess Plateau to identify key features of the HVSR and VRSR curves. The results show that these spectral ratio curves effectively capture the dynamic behaviors of loess sites, minimizing the influences of earthquake magnitude and propagation path. While the spectral ratio peaks are less affected by magnitude, epicentral distance, and focal depth, they are significantly influenced by site conditions. Conversely, the dominant periods estimated from these curves are strongly influenced by magnitude, epicentral distance, and focal depth. For sites located on the Loess Plateau, the average amplification factor is approximately 3, with a mean predominant period of 0.4 s. These results provide valuable insights into the dynamic characteristics of loess sites and have practical implications for seismic design in the region.https://www.mdpi.com/2076-3417/15/1/67loess plateaustrong ground motion dataHVSRVRSRamplification factorsuperior period
spellingShingle Qi Li
Jingshan Bo
Da Peng
Characterization of HVSR and VRSR in the Loess Plateau of China Based on Strong-Motion Data
Applied Sciences
loess plateau
strong ground motion data
HVSR
VRSR
amplification factor
superior period
title Characterization of HVSR and VRSR in the Loess Plateau of China Based on Strong-Motion Data
title_full Characterization of HVSR and VRSR in the Loess Plateau of China Based on Strong-Motion Data
title_fullStr Characterization of HVSR and VRSR in the Loess Plateau of China Based on Strong-Motion Data
title_full_unstemmed Characterization of HVSR and VRSR in the Loess Plateau of China Based on Strong-Motion Data
title_short Characterization of HVSR and VRSR in the Loess Plateau of China Based on Strong-Motion Data
title_sort characterization of hvsr and vrsr in the loess plateau of china based on strong motion data
topic loess plateau
strong ground motion data
HVSR
VRSR
amplification factor
superior period
url https://www.mdpi.com/2076-3417/15/1/67
work_keys_str_mv AT qili characterizationofhvsrandvrsrintheloessplateauofchinabasedonstrongmotiondata
AT jingshanbo characterizationofhvsrandvrsrintheloessplateauofchinabasedonstrongmotiondata
AT dapeng characterizationofhvsrandvrsrintheloessplateauofchinabasedonstrongmotiondata