Self-adaptive smoothing surface wave tomography based on model sensitivity: methodology and application-Reference-Cited by-同舟云学术

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Self-adaptive smoothing surface wave tomography based on model sensitivity: methodology and application

Published:2022-01-25 Issue:3 Volume:81 Page:
ISSN:1866-6280
Container-title:Environmental Earth Sciences
language:en
Short-container-title:Environ Earth Sci

Author:

Li Cheng

Funder

State Key Laboratory of Mining-induced Response and Disaster prevention and Control in Deep Coal Mines, Anhui University of Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

Earth-Surface Processes,Geology,Pollution,Soil Science,Water Science and Technology,Environmental Chemistry,Global and Planetary Change

Link

https://link.springer.com/content/pdf/10.1007/s12665-022-10183-5.pdf

Reference16 articles.

1. Bensen GD, Ritzwoller MH, Barmin MP, Levshin AL, Lin F, Moschetti MP, Shapiro NM, Yang Y (2007) Processing seismic ambient noise data to obtain reliable broad-band surface wave dispersion measurements. Geophys J Int 169(3):1239–1260

2. Fang H, Yao H, Zhang H, Huang YC, van der Hilst RD (2015) Direct inversion of surface wave dispersion for three-dimensional shallow crustal structure based on ray tracing: methodology and application. Geophys J Int 201(3):1251–1263

3. Gao Z, Sun J, Sun X et al (2017) A fast algorithm for depth migration by the Gaussian beam summation method. J Geophys Eng 14(1):173–183

4. Gray S (2000) Velocity smoothing for depth migration: how much is too mach? //70th Ann. Internat Mtg., Soc. Expi. Geophys.. Expanded Abstracts, 1055–1058.

5. Hannan A, Arshad S, Azam M, Loo J, Ahmed S, Majeed M, Shah S (2018) Disaster management system aided by named data network of things: architecture, design, and analysis. Sensors 18(8):2431

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