Advanced Search

EPP

地球与行星物理

ISSN  2096-3955

CN  10-1502/P

Citation: Wang, G. W., Wang, H. Y., Li, H. Q., Lu, Z. W., Li, W. H., and Xu, T. R. (2022). Application of active-source surface waves in urban underground space detection: A case study of Rongcheng County, Hebei, China. Earth Planet. Phys., 6(4), 385–398. http://doi.org/10.26464/epp2022039

2022, 6(4): 385-398. doi: 10.26464/epp2022039

Application of active-source surface waves in urban underground space detection: A case study of Rongcheng County, Hebei, China

1. 

Lithosphere Center, Institute of Geology, Chinese Academy of Geological Sciences, Beijing 100037, China

2. 

Deep-Earth Dynamics Key Laboratory of the Ministry of Natural Resources, Beijing 100037, China

3. 

Chinese Academy of Geological Sciences, Beijing 100037, China

4. 

China Earthquake Network Center, Beijing 100045, China

Corresponding author: HaiYan Wang, hyanwhy@126.com

Received Date: 2022-03-02
Web Publishing Date: 2022-06-28

Active-source surface wave exploration is advantageous because it has high imaging accuracy, is not affected by high-speed layers, and has a low cost; thus, it has unique advantages for investigating shallow surface structures. For the development and utilization of urban underground space, two parameters in the shallow surface are important, namely, the shear wave velocity (VS) and the predominant period of the site, which determine the elevation and aseismic grade of the building design. The traditional method is mainly to obtain the two above-mentioned parameters through testing and measuring drilling samples. However, this method is extremely expensive and time consuming. Therefore, in this research, we used the multichannel surface wave acquisition method to extract the fundamental dispersion curve of single-shot data by using the phase shift method and obtain the VS characteristics in the uppermost 40 m by inversion. We arrived at the following two conclusions based on the VS profile. First, the study area can be roughly divided into five layers, among which the layers 0−8 m, 14−20 m, and 20−30 m are low-velocity layers, corresponding to miscellaneous fill, a water-bearing sand layer, and a sand layer; therefore, the VS is relatively low. In contrast, the layers at 8−14 m and 30−40 m are high-velocity layers that are mainly composed of clay, with a relatively better compactness and relatively high VS values. In addition, a low-speed anomaly appears abruptly in the high-speed area at 20−40 m. This anomaly, when combined with geological data, suggests that it is an ancient river channel. Second, from the VS value, the $ {V}_{Se} $ (equivalent shear wave velocity) was calculated. The construction site soil was categorized as class III, with good conditions for engineering geology. In addition, we calculated the predominant period of the site to be 0.56–0.77 s based on the VS. Therefore, in the overall structural design of the foundation engineering, the natural vibration period of the structure should be strictly controlled to avoid the predominant period of the site.

Key words: Jizhong depression, surface wave exploration, shallow structure, site category, predominant period

Aleardi, M., Salusti, A., and Pierini, S. (2020). Transdimensional and Hamiltonian Monte Carlo inversions of Rayleigh-wave dispersion curves: a comparison on synthetic datasets. Near Surf. Geophys., 18(5), 515–543. https://doi.org/10.1002/nsg.12100

Andajani, R. D., Ikeda, T., and Tsuji, T. (2019). Surface wave analysis for heterogeneous geological formations in geothermal fields: effect of wave propagation direction. Explor. Geophys., 50(3), 255–268. https://doi.org/10.1080/08123985.2019.1597497

Boore, D. M., Joyner, W. B., and Fumal, T. E. (1994). Estimation of response spectra and peak accelerations from western North American earthquakes: an interim report. Menlo Park, California: U.S. Geological Survey.

Cai, W., Song, X. H., Yuan, S. C., and Hu, Y. (2017). A new misfit function for multimode dispersion curve inversion of Rayleigh wave. Earth Sci. (in Chinese), 42(9), 1608–1622. https://doi.org/10.3799/dqkx.2017.531

Cai, W., Song, X. H., Yuan, S. C., and Hu, Y. (2018). Fast and stable Rayleigh-wave dispersion-curve inversion based on particle swarm optimization. Oil Geophys. Prospect. (in Chinese), 53(1), 25–34. https://doi.org/10.13810/j.cnki.issn.1000-7210.2018.01.004

Cao, L. H., Zuo, G. Q., Chen, C., and Shu, Z. P. (2012). The application of instant surface wave exploration to the survey of building foundation. Chin. J. Eng. Geophys. (in Chinese), 9(2), 184–188. https://doi.org/10.3969/j.issn.1672-7940.2012.02.011

Cao, X., Xiong, Z. Q., and Zhang, D. Z. (2015). The Rayleigh surface wave intelligent inversion based on the BP artificial neural network. Chin. J. Eng. Geophys. (in Chinese), 12(4), 514–519. https://doi.org/10.3969/j.issn.1672-7940.2015.04.017

Chimoto, K., and Yamanaka, H. (2019). S-wave velocity structure exploration of sedimentary layers using seismic interferometry on strong motion records. Explor. Geophys., 50(6), 625–633. https://doi.org/10.1080/08123985.2019.1654835

Cho, I., Urabe, A., Nakazawa, T., Sato, Y., and Sakata, K. (2018). Simple assessment of shallow velocity structures with small-scale microtremor arrays: interval-averaged S-wave velocities. Explor. Geophys., 49(6), 922–927. https://doi.org/10.1071/EG18020

Dal Moro, G., Pipan, M., and Gabrielli, P. (2007). Rayleigh wave dispersion curve inversion via genetic algorithms and marginal posterior probability density estimation. J. Appl. Geophys., 61(1), 39–55. https://doi.org/10.1016/j.jappgeo.2006.04.002

Dobry, R., Borcherdt, R. D., Crouse, C. B., Idriss, I. M., Joyner, W. B., Martin, G. R., Power, M. S., Rinne, E. E., and Seed, R. B. (2000). New site coefficients and site classification system used in recent building seismic code provisions. Earthq. Spectra, 16(1), 41–67. https://doi.org/10.1193/1.1586082

Du, Z. T., Liu, L. M., and Cheng, D. W. (1999). The application of Rayleigh surface wave exploration technique to the quaternary stratification. Geophys. Geochem. Explor. (in Chinese), 23(4), 277–282. https://doi.org/10.3969/j.issn.1000-8918.1999.04.006

Editorial Board of Geological Engineering Handbook. (2018). Geological Engineering Handbook (5th ed.) (in Chinese). Beijing: China Architecture & Building Press.

Fan, Y. L., Tan, C. X., Zhang, P., Sun, M. Q., Qi, B. S., Feng, C. J., Meng, J., and Wang, H. Q. (2020). A study of current in-situ stress state and its influence on tectonic stability in the Xiongan new area. Acta Geosci. Sin. (in Chinese), 41(4), 481–491. https://doi.org/10.3975/cagsb.2020.040603

Fazelabdolabadi, B., and Golestan, M. H. (2020). Towards Bayesian quantification of permeability in micro-scale porous structures—the database of micro networks. HighTech Innov. J., 1(4), 148–160. https://doi.org/10.28991/HIJ-2020-01-04-02

Hammal, S., Bourahla, N., and Laouami, N. (2020). Neural-network based prediction of inelastic response spectra. Civil Eng. J., 6(6), 1124–1135. https://doi.org/10.28991/cej-2020-03091534

Han, B., Xia, Y. B., Pei, Y. D., Ma, Z., and Guo, X. (2020). Engineering geology characteristic and environmental geological effect of underground space in Xiongan New Area. Geotech. Invest. Surv. (in Chinese), 48(3), 1–8.

Hao, A. B., Wu, A. M., Ma, Z., Liu, F. T., Xia, Y. B., Xie, H. L., Lin, L. J., Wang, T., Bai, Y. N., … Meng, Q. H. (2018). A study of engineering construction suitability integrated evaluation of surface–underground space in Xiongan new area. Acta Geosci. Sin. (in Chinese), 39(5), 513–522. https://doi.org/10.3975/cagsb.2018.071502

Hao, B., Zhang, Y., Qiu, S. Y., and Hou, X. M. (2016). Calculation of site predominant period and its engineering application. J. Water Resour. Arch. Eng. (in Chinese), 14(5), 144–150. https://doi.org/10.3969/j.issn.1672-1144.2016.05.028

He, P., Wang, Q. C., Wei, Y. L., and Liu, R. M. (2014). Study on quaternary sedimentary environment evolution of Raoyang sag in Central Hebei province. Petrol. Geol. Eng. (in Chinese), 28(2), 24–26, 30.

Hua, W. Y., Sun, B. X., and Xu, Y. (2002). Technology and application of transient surface wave method. Heilongjiang Sci. Technol. Water Conserv. (in Chinese), 30(4), 106–107. https://doi.org/10.3969/j.issn.1007-7596.2002.04.063

Jin, C., Yang, W. H., Luo, D. G., and Liu, J. P. (2016). Comparative analysis of extracting methods of surface wave dispersion curves. Progr. Geophys. (in Chinese), 31(6), 2735–2742. https://doi.org/10.6038/pg20160651

Kamel, F., and Badreddine, S. (2020). Liquefaction analysis using shear wave velocity. Civil Eng. J., 6(10), 1944–1955. https://doi.org/10.28991/cej-2020-03091594

Kim, J. K., Yoo, S. H., and Wee, S. H. (2019). Site amplification characteristics of bedrock using three reference site methods. Explor. Geophys., 50(4), 420–429. https://doi.org/10.1080/08123985.2019.1606203

Lei, T., Yao, H. J., and Zhang, C. (2020). Effect of lateral heterogeneity on 2-D Rayleigh wave ZH ratio sensitivity kernels based on the adjoint method: Synthetic and inversion examples. Earth Planet. Phys., 4(5), 513–522. https://doi.org/10.26464/epp2020050

Ma, F., Wang, G. L., Zhang, W., Zhu, X., Zhang, H. X., and Sun, Z. X. (2021). Influence mechanism of ancient buried hill geothermal development on land subsidence. Geol. China (in Chinese), 48(1), 40–51. https://doi.org/10.12029/gc20210103

Ma, Y., Li, H. Q., Zhang, J., Sun, S., Xia, Y. B., Feng, J., Long, H., and Zhang, J. M. (2020). Geophysical technology for underground space exploration in Xiongan New Area. Acta Geosci. Sin. (in Chinese), 41(4), 535–542. https://doi.org/10.3975/cagsb.2020.071001

Ma, Z., Xia, Y. B., Wang, X. D., Han, B., and Gao, Y. H. (2019). Integration of engineering geological investigation data and construction of a 3D geological structure model in the Xiong’an new area. Geol. China (in Chinese), 46(S2), 123–138. https://doi.org/10.12029/gc2019Z213

Macau, A., Benjumea, B., Gabàs, A., Bellmunt, F., and Figueras, S. (2018). Geophysical measurements for site effects characterisation in the urban area of Girona, Spain. Near Surf. Geophys., 16(3), 340–355. https://doi.org/10.3997/1873-0604.2018004

Meng, Y. S. (2010). The regionalization and evaluation to engineering geologic of Handan based on tangential wave speed (in Chinese). Handan: Hebei University of Engineering.

Pan, H., and Jiang, X. (2020). On the characteristics of ground motion and the improvement of the input mode of complex layered sites. Civil Eng. J., 6(5), 848–859. https://doi.org/10.28991/cej-2020-03091512

Park, C. B., Miller, R. D., Xia, J. H. (1999). Multichannel analysis of surface wave. Geophysics, 64(3), 800–808. https://doi.org/10.1190/1.1444590

Pasquet, S., Bodet, L., Longuevergne, L., Dhemaied, A., Camerlynck, C., Rejiba, F., and Guérin, R. (2015). 2D characterization of near-surface VP/VS: surface-wave dispersion inversion versus refraction tomography. Near Surf. Geophys., 13(4), 315–331. https://doi.org/10.3997/1873-0604.2015028

Rastogi, B. K., Singh, A. P., Sairam, B., Jain, S. K., Kaneko, F., Segawa, S., and Matsuo, J. (2011). The possibility of site effects: the Anjar case, following past earthquakes in Gujarat, India. Seismol. Res. Lett., 82(1), 59–68. https://doi.org/10.1785/gssrl.82.1.59

Sairam, B., Rastogi, B. K., Aggarwal, S., Chauhan, M., and Bhonde, U. (2011). Seismic site characterization using VS30 and site amplification in Gandhinagar region, Gujarat, India. Curr. Sci., 100(5), 754–760.

Sairam, B., Singh, A. P., Patel, V., Chopra, S., and Kumar, M. R. (2019). VS30 mapping and site characterization in the seismically active intraplate region of Western India: implications for risk mitigation. Near Surf. Geophys., 17(5), 533–546. https://doi.org/10.1002/nsg.12066

Shang, S. J., Feng, C. J., Tan, C. X., Qi, B. S., Zhang, P., Meng, J., Wang, M. M., Sun, M. Q., Wan, J. W., … Xiang, X. X. (2019). Quaternary activity study of major buried faults near Xiongan New Area. Acta Geosci. Sin. (in Chinese), 40(6), 836–846. https://doi.org/10.3975/cagsb.2019.033101

Song, Y. Y., Castagna, J. P., Black, R. A., and Knapp, R. W. (1989). Sensitivity of near-surface shear-wave velocity determination from Rayleigh and Love waves. In 1989SEG Annual Meeting (pp. 509512). Dallas, Texas, SEG. https://doi.org/10.1190/1.1889669

Stewart, J. P., Douglas, J., Javanbarg, M., Bozorgnia, Y., Abrahamson, N. A., Boore, D. M., Campbell, K. W., Delavaud, E., Erdik, M., and Stafford, P. J. (2015). Selection of ground motion prediction equations for the global earthquake model. Earthq. Spectra, 31(1), 19–45. https://doi.org/10.1193/013013eqs017m

Sun, X. R., Liu, Z. G., Xu, D. E., and Dai, C. J. (2002). A study of shear wave for seismic stability evaluation of regional engineering sites in urban district of Shanghai. Geophys. Geochem. Explor. (in Chinese), 26(5), 398–402. https://doi.org/10.3969/j.issn.1000-8918.2002.05.018

Shao, X. H., Yao, H. J., Liu, Y., Yang, H. F., Tian, B. F., and Fang, L. H. (2022). Shallow crustal velocity structures revealed by active source tomography and fault activities of the Mianning–Xichang segment of the Anninghe fault zone, Southwest China. Earth Planet. Phys., 6(2), 204–212. https://doi.org/10.26464/epp2022010

Wang, K., Zhang, J., Bai, D. W., Wu, X. G., Yue, H. Y., Zhang, B. W., Wang, X. J., and Zhang, K. (2021). Geothermal-geological model of Xiong’an New Area: evidence from geophysics. Geol. China (in Chinese), 48(5), 1453–1468. https://doi.org/10.12029/gc20210511

Wang, Y. S., Yin, D. C., Wang, X. Q., Qi, X. F., Xia, Y. B., Ma, Z. T., Zhang, L., and Xu, R. Z. (2021). Groundwater–surface water interactions in the Baiyangdian wetland, Xiong’an New Area and its impact on reed land. Geol. China (in Chinese), 48(5), 1368–1381. https://doi.org/10.12029/gc20210504

Wang, Z. Q. (1994). A Manual for Siting in Earthquake Zones (in Chinese). Beijing: China Architecture & Building Press.

Xia, J. H., Gao, L. L., Pan, Y. D., Shen, C., and Yin, X. F. (2015). New findings in high-frequency surface wave method. Chin. J. Geophys. (in Chinese), 58(8), 2591–2605. https://doi.org/10.6038/cjg20150801

Yin, X. F., Xu, H. R., Xia, J. H., Sun, S. D., and Wang, P. (2018). A travel-time tomography method for improving horizontal resolution of high-frequency surface-wave exploration. Chin. J. Geophys. (in Chinese), 61(6), 2380–2395. https://doi.org/10.6038/cjg2018L0373

Zhang, H., Cao, J., Gong, Y. L., and Li, Z. L. (2010). The application research of wave-velocity test technique in the evaluation of site earthquake resistant. Comput. Tech. Geophys. Geochem. Explor. (in Chinese), 32(1), 68–72. https://doi.org/10.3969/j.issn.1001-1749.2010.01.013

Zhang, J., Ma, Z., Wu, A. M., Bai, Y. N., and Xia, Y. B. (2018). A study of paleochannels interpretation by the spectrum of lithology in Xiongan New Area. Acta Geosci. Sin. (in Chinese), 39(5), 542–548. https://doi.org/10.3975/cagsb.2018.071003

Zhang, W., He, Z. Q., Hu, G., and Li, J. (2013). Detection of the shallow velocity structure with surface wave prospection method. Progr. Geophys. (in Chinese), 28(4), 2199–2206. https://doi.org/10.6038/pg20130467

[1]

Cheng Li, HuaJian Yao, Yuan Yang, Song Luo, KangDong Wang, KeSong Wan, Jian Wen, Bin Liu, 2020: 3-D shear wave velocity structure in the shallow crust of the Tan-Lu fault zone in Lujiang, Anhui, and adjacent areas, and its tectonic implications, Earth and Planetary Physics, 4, 317-328. doi: 10.26464/epp2020026

[2]

Qing Wang, XiaoDong Song, JianYe Ren, 2017: Ambient noise surface wave tomography of marginal seas in east Asia, Earth and Planetary Physics, 1, 13-25. doi: 10.26464/epp2017003

[3]

XinYan Zhang, ZhiMing Bai, Tao Xu, Rui Gao, QiuSheng Li, Jue Hou, José Badal, 2018: Joint tomographic inversion of first-arrival and reflection traveltimes for recovering 2-D seismic velocity structure with an irregular free surface, Earth and Planetary Physics, 2, 220-230. doi: 10.26464/epp2018021

[4]

WenAi Hou, Chun-Feng Li, XiaoLi Wan, MingHui Zhao, XueLin Qiu, 2019: Crustal S-wave velocity structure across the northeastern South China Sea continental margin: implications for lithology and mantle exhumation, Earth and Planetary Physics, 3, 314-329. doi: 10.26464/epp2019033

[5]

YiRen Chang, ZhiYong Xiao, YiChen Wang, ChunYu Ding, Jun Cui, YuZhen Cai, 2021: An updated constraint on the local stratigraphy at the Chang'E-4 landing site, Earth and Planetary Physics, 5, 19-31. doi: 10.26464/epp2021007

[6]

BaoLong Zhang, SiDao Ni, YuLin Chen, 2019: Seismic attenuation in the lower mantle beneath Northeast China constrained from short-period reflected core phases at short epicentral distances, Earth and Planetary Physics, 3, 537-546. doi: 10.26464/epp2019055

[7]

XiHui Shao, HuaJian Yao, Ying Liu, HongFeng Yang, BaoFeng Tian, LiHua Fang, 2022: Shallow crustal velocity structures revealed by active source tomography and fault activities of the Mianning–Xichang segment of the Anninghe fault zone, Southwest China, Earth and Planetary Physics, 6, 204-212. doi: 10.26464/epp2022010

[8]

TianYu Zheng, YongHong Duan, WeiWei Xu, YinShuang Ai, 2017: A seismic model for crustal structure in North China Craton, Earth and Planetary Physics, 1, 26-34. doi: 10.26464/epp2017004

[9]

Pan Yan, ZhiYong Xiao, YiZhen Ma, YiChen Wang, Jiang Pu, 2019: Formation mechanism of the Lidang circular structure in the Guangxi Province, Earth and Planetary Physics, 3, 298-304. doi: 10.26464/epp2019031

[10]

Deepak Singh, 2020: Impact of surface Albedo on Martian photochemistry, Earth and Planetary Physics, 4, 206-211. doi: 10.26464/epp2020025

[11]

Yang Li, Zheng Sheng, JinRui Jing, 2019: Feature analysis of stratospheric wind and temperature fields over the Antigua site by rocket data, Earth and Planetary Physics, 3, 414-424. doi: 10.26464/epp2019040

[12]

XinZhou Li, ZhaoJin Rong, JiaWei Gao, Yong Wei, Zhen Shi, Tao Yu, WeiXing Wan, 2020: A local Martian crustal field model: Targeting the candidate landing site of the 2020 Chinese Mars Rover, Earth and Planetary Physics, 4, 420-428. doi: 10.26464/epp2020045

[13]

LingGao Kong, AiBing Zhang, Zhen Tian, XiangZhi Zheng, WenJing Wang, Bin Liu, Peter Wurz, Daniele Piazza, Adrian Etter, Bin Su, YaYa An, JianJing Ding, WenYa Li, Yong Liu, Lei Li, YiRen Li, Xu Tan, YueQiang Sun, 2020: Mars Ion and Neutral Particle Analyzer (MINPA) for Chinese Mars Exploration Mission (Tianwen-1): Design and ground calibration, Earth and Planetary Physics, 4, 333-344. doi: 10.26464/epp2020053

[14]

Biao Guo, JiuHui Chen, QiYuan Liu, ShunCheng Li, 2019: Crustal structure beneath the Qilian Orogen Zone from multiscale seismic tomography, Earth and Planetary Physics, 3, 232-242. doi: 10.26464/epp2019025

[15]

TianYu Zheng, YuMei He, Yue Zhu, 2022: A new approach for inversion of receiver function for crustal structure in the depth domain, Earth and Planetary Physics, 6, 83-95. doi: 10.26464/epp2022008

[16]

XingLin Lei, ZhiWei Wang, JinRong Su, 2019: Possible link between long-term and short-term water injections and earthquakes in salt mine and shale gas site in Changning, south Sichuan Basin, China, Earth and Planetary Physics, 3, 510-525. doi: 10.26464/epp2019052

[17]

Xi Zhang, Peng Wang, Tao Xu, Yun Chen, José Badal, JiWen Teng, 2018: Density structure of the crust in the Emeishan large igneous province revealed by the Lijiang- Guiyang gravity profile, Earth and Planetary Physics, 2, 74-81. doi: 10.26464/epp2018007

[18]

Feng Long, GuiXi Yi, SiWei Wang, YuPing Qi, Min Zhao, 2019: Geometry and tectonic deformation of the seismogenic structure for the 8 August 2017 MS 7.0 Jiuzhaigou earthquake sequence, northern Sichuan, China, Earth and Planetary Physics, 3, 253-267. doi: 10.26464/epp2019027

[19]

Feng Long, ZhiWei Zhang, YuPing Qi, MingJian Liang, Xiang Ruan, WeiWei Wu, GuoMao Jiang, LongQuan Zhou, 2020: Three dimensional velocity structure and accurate earthquake location in Changning–Gongxian area of southeast Sichuan, Earth and Planetary Physics, 4, 163-177. doi: 10.26464/epp2020022

[20]

Ting Luo, Wei Leng, 2021: Thermal structure of continental subduction zone: high temperature caused by the removal of the preceding oceanic slab, Earth and Planetary Physics, 5, 290-295. doi: 10.26464/epp2021027

Article Metrics
  • PDF Downloads()
  • Abstract views()
  • HTML views()
  • Cited by(0)
Catalog

Figures And Tables

Application of active-source surface waves in urban underground space detection: A case study of Rongcheng County, Hebei, China

GuangWen Wang, HaiYan Wang, HongQiang Li, ZhanWu Lu, WenHui Li, TaiRan Xu