首页|Horizontal-to-vertical spectral ratio inversion method based on multimodal forest optimization algorithm

Horizontal-to-vertical spectral ratio inversion method based on multimodal forest optimization algorithm

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The exploration of urban underground spaces is of great significance to urban planning,geological disaster prevention,resource exploration and environmental monitoring.However,due to the existing of severe interferences,conventional seismic methods cannot adapt to the complex urban environment well.Since adopting the single-node data acquisition method and taking the seismic ambient noise as the signal,the microtremor horizontal-to-vertical spectral ratio(HVSR)method can effectively avoid the strong interference problems caused by the complex urban environment,which could obtain information such as S-wave velocity and thickness of underground formations by fitting the microtremor HVSR curve.Nevertheless,HVSR curve inversion is a multi-parameter curve fitting process.And conventional inversion methods can easily converge to the local minimum,which will directly affect the reliability of the inversion results.Thus,the authors propose a HVSR inversion method based on the multimodal forest optimization algorithm,which uses the efficient clustering technique and locates the global optimum quickly.Tests on synthetic data show that the inversion results of the proposed method are consistent with the forward model.Both the adaption and stability to the abnormal layer velocity model are demonstrated.The results of the real field data are also verified by the drilling information.

microtremorHVSR methodmultimodal forest optimization algorithmHVSR curve inversion

CHEN Xuanning、HAN Fuxing、GAO Zhenghui、SUN Zhangqing、HAN Jiangtao

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College of Geo-Exploration Science and Technology,Jilin University,Changchun 130026,China

National Natural Science Foundation of ChinaNational Key Research and Development Program of ChinaFutian District Integrated Ground Collapse Monitoring and Early Warning System Construction Project

420741502023YFC3707901FTCG2023000209

2024

10.3969/j.issn.1673-9736.2024.03.05

世界地质(英文版)
吉林大学 东北亚国际地学研究与教学中心

世界地质(英文版)

影响因子：0.125
ISSN：1673-9736
年,卷(期)：2024.27(3)
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