浅地表环境下ESPAC微动成像方法影响因素分析

doi:10.11720/wtyht.2024.1479

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Abstract

The extended spatial autocorrelation (ESPAC)-based microtremor exploration(natural-source surface wave exploration) technology has been extensively used in shallow formation exploration owing to its simplicity,efficiency,and accuracy.However,the imaging effect of dispersion energy extracted based on the ESPAC method is unsatisfactory in practical applications.In particular,different observation array arrangements influence the extraction of dispersion curves from collected data.By investigating the imaging principle of the ESPAC method,this study conducted the simulation experiment of natural-source microtremor recording through ambient noise simulation.It compared the differences in dispersion energy under various dominant frequency distributions of wavelets.Moreover,it quantitatively analyzed the influence of different station arrangements and acquisition durations on the imaging quality of dispersion energy.The comparative study reveals the imaging patterns of the ESPAC method in shallow surface exploration.The ESPAC method can maximize the imaging quality of dispersion energy in the fundamental mode while considering both efficiency and exploration costs.The results of this study were applied to engineering application cases to further verify the simulation results.

Key words： natural-source surface wave numerical simulation ambient noise tomography microtremor exploration dispersion diagram extended spatial autocorrelation(ESPAC)

Received: 11 December 2023 Published: 21 October 2024

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	Lang-Yong-Hang YANG
	Hong-Xing LI

Cite this article:

Lang-Yong-Hang YANG,Hong-Xing LI. Factors influencing the application of ESPAC-based microtremor survey in shallow surface environments[J]. Geophysical and Geochemical Exploration, 2024, 48(5): 1322-1330.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2024.1479 OR https://www.wutanyuhuatan.com/EN/Y2024/V48/I5/1322

Natural source surface wave exploration principle diagram

Noise source distribution

Model parameter

Rake wavelet with dominant frequency of 20 Hz

Analog acquisition records(31 stations,spacing of 2 m)

Comparison of dispersion diagrams of different station layouts
a—number of stations 11,spacing of 2 meters;b—number of stations 21,spacing of 2 meters;c—number of stations 31,spacing of 2 meters;d—number of stations 11,spacing of 4 meters;e—number of stations 16, spacing of 4 meters;f—number of stations 16, spacing of 2 meters;the white scatter represents the theoretical dispersion curve

Comparison of dispersion diagrams with different acquisition durations
a—5 minutes collection time;b—10 minutes collection time;c—20 minutes collection time;number of stations 21,spacing of 2 meters;the white scatter represents the theoretical dispersion curve

Comparison of dispersion diagrams under different wavelet dominant frequencies
a—dominant frequency 1~10 Hz;b—dominant frequency 1~15 Hz;c—dominant frequency 1~20 Hz;number of stations 21,spacing of 2 meters;the white scatter represents the theoretical dispersion curve

Physical parameters of different lithology

Schematic of survey line arrangement

Layout of survey lines in Yinshanguanhu area

Noise recording segments

Flow chart of natural source surface wave data processing

Measured dispersion

Inversion velocity structure
a—basement of building 1;b—basement of building 2

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