Estimating Site Characteristic Parameters of the Gobi Desert Region Using Seismic Noise
In the Gobi desert region, the predominant frequency of the horizontal-to-vertical spectral ratio (HVSR) curve of seismic noise (fH/V) is typically above 3 Hz. However, most of the existing formulas for estimating cover thickness (H) based on fH/V are only applicable for fH/V values below 5 Hz. Ther...
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Wiley
2023-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2023/3188065 |
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| author | Ya Li Shengyang Chen Jie Lei |
| author_facet | Ya Li Shengyang Chen Jie Lei |
| author_sort | Ya Li |
| collection | DOAJ |
| description | In the Gobi desert region, the predominant frequency of the horizontal-to-vertical spectral ratio (HVSR) curve of seismic noise (fH/V) is typically above 3 Hz. However, most of the existing formulas for estimating cover thickness (H) based on fH/V are only applicable for fH/V values below 5 Hz. Therefore, new formulas that can accurately calculate H in this region are crucially needed. To this end, a case study was conducted where noise measurements were carried out in the Gobi region in China, as well as in the east and northeast regions of China. The HVSR curves and fH/V were calculated, and a formula that correlates fH/V with H was derived. In addition, formulas that correlate with Vs20 (average shear-wave velocities to depth 20 m) and Vs30 (average shear-wave velocities to depth 30 m) fH/V were fitted. The relationship between the site fundamental period (Ts) and TH/V (1/fH/V) was also investigated. Finally, by using all of the noise measurements and applying the derived relationships, a method for rapidly measuring the site type was proposed. The results showed that the equation for calculating H in this paper is highly reliable, with relative errors less than 30% compared to other researchers. The correlation between fH/V and Vs30 was higher than that between fH/V and Vs20. The accuracy rate of the proposed method for fast identification of ground types was greater than 80%. |
| format | Article |
| id | doaj-art-115fc162fbc74c43bf87c643440d204c |
| institution | DOAJ |
| issn | 1875-9203 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-115fc162fbc74c43bf87c643440d204c2025-08-20T03:17:09ZengWileyShock and Vibration1875-92032023-01-01202310.1155/2023/3188065Estimating Site Characteristic Parameters of the Gobi Desert Region Using Seismic NoiseYa Li0Shengyang Chen1Jie Lei2Department of Civil EngineeringCollege of Civil EngineeringCollege of Civil EngineeringIn the Gobi desert region, the predominant frequency of the horizontal-to-vertical spectral ratio (HVSR) curve of seismic noise (fH/V) is typically above 3 Hz. However, most of the existing formulas for estimating cover thickness (H) based on fH/V are only applicable for fH/V values below 5 Hz. Therefore, new formulas that can accurately calculate H in this region are crucially needed. To this end, a case study was conducted where noise measurements were carried out in the Gobi region in China, as well as in the east and northeast regions of China. The HVSR curves and fH/V were calculated, and a formula that correlates fH/V with H was derived. In addition, formulas that correlate with Vs20 (average shear-wave velocities to depth 20 m) and Vs30 (average shear-wave velocities to depth 30 m) fH/V were fitted. The relationship between the site fundamental period (Ts) and TH/V (1/fH/V) was also investigated. Finally, by using all of the noise measurements and applying the derived relationships, a method for rapidly measuring the site type was proposed. The results showed that the equation for calculating H in this paper is highly reliable, with relative errors less than 30% compared to other researchers. The correlation between fH/V and Vs30 was higher than that between fH/V and Vs20. The accuracy rate of the proposed method for fast identification of ground types was greater than 80%.http://dx.doi.org/10.1155/2023/3188065 |
| spellingShingle | Ya Li Shengyang Chen Jie Lei Estimating Site Characteristic Parameters of the Gobi Desert Region Using Seismic Noise Shock and Vibration |
| title | Estimating Site Characteristic Parameters of the Gobi Desert Region Using Seismic Noise |
| title_full | Estimating Site Characteristic Parameters of the Gobi Desert Region Using Seismic Noise |
| title_fullStr | Estimating Site Characteristic Parameters of the Gobi Desert Region Using Seismic Noise |
| title_full_unstemmed | Estimating Site Characteristic Parameters of the Gobi Desert Region Using Seismic Noise |
| title_short | Estimating Site Characteristic Parameters of the Gobi Desert Region Using Seismic Noise |
| title_sort | estimating site characteristic parameters of the gobi desert region using seismic noise |
| url | http://dx.doi.org/10.1155/2023/3188065 |
| work_keys_str_mv | AT yali estimatingsitecharacteristicparametersofthegobidesertregionusingseismicnoise AT shengyangchen estimatingsitecharacteristicparametersofthegobidesertregionusingseismicnoise AT jielei estimatingsitecharacteristicparametersofthegobidesertregionusingseismicnoise |