A5057580750- Seismic Waves and Analysis
- Seismic Imaging and Inversion Techniques
- Seismology and Earthquake Studies
- earthquake and tectonic studies
- Structural Health Monitoring Techniques
- Geophysics and Sensor Technology
- Earthquake Detection and Analysis
- Seismic Performance and Analysis
- Geophysical Methods and Applications
- High-pressure geophysics and materials
- Geological and Geochemical Analysis
- Geological and Geophysical Studies
- Landslides and related hazards
- Ultrasonics and Acoustic Wave Propagation
- Anomaly Detection Techniques and Applications
- Speech and Audio Processing
- Time Series Analysis and Forecasting
- Geochemistry and Geologic Mapping
- Engineering Applied Research
- Ionosphere and magnetosphere dynamics
- Geotechnical Engineering and Underground Structures
- Acoustic Wave Phenomena Research
- Flow Measurement and Analysis
- Methane Hydrates and Related Phenomena
- Cryospheric studies and observations
University of Potsdam
2016-2025
Deutsche Post (Germany)
2016
ETH Zurich
2015
Surface wave methods gained in the past decades a primary role many seismic projects. Specifically, they are often used to retrieve 1D shear velocity model or estimate VS,30 at site. The complexity of interpretation process and variety possible approaches surface analysis make it very hard set fixed standard assure quality reliability results. present guidelines provide practical information on acquisition data by giving some basic principles specific suggestions related most common...
ABSTRACT Passive recordings of seismic noise are increasingly used in earthquake engineering to measure situ the shear‐wave velocity profile at a given site. Ambient vibrations, which assumed be mainly composed surface waves, can determine Rayleigh‐wave dispersion curve, with advantage not requiring artificial sources. Due data uncertainties and non‐linearity problem itself, solution dispersion‐curve inversion is generally non‐unique. Stochastic search methods such as neighbourhood algorithm...
Abstract Earthquake rupture length and width estimates are in demand many seismological applications. magnitude often available, whereas the geometrical extensions of fault mostly lacking. Therefore, scaling relations needed to derive from magnitude. Most frequently used relationships Wells Coppersmith (1994) derived on basis a large dataset including all slip types with exception thrust faulting events subduction environments. However, there applications dealing earthquakes zones because...
Abstract Ambient vibrations are nowadays considerably used worldwide for numerous types of engineering applications and scientific research. Geopsy its companion tools part that landscape. Since the first release program package in 2005, as outcome European Union project Site Effects aSsessment from AMbient noisE, has become a mature multiplatform open-source (released under GNU Public License version 3) already been recognized reference tool analyzing ambient vibration data context site...
Abstract Analyzing seismic data in a timely manner is essential for potential eruption forecasting and early warning volcanology. Here, we demonstrate that unsupervised machine learning methods can automatically uncover hidden details from the continuous signals recorded during Iceland’s 2021 Geldingadalir eruption. By pinpointing eruption’s primary phases, including periods of unrest, ongoing lava extrusion, varying fountaining intensities, effectively chart its temporal progress. We detect...
We have used both single-station and array methods to determine shallow shear velocity site profiles in the vicinity of city Cologne, Germany from ambient vibration records. Based on fk-analysis we assume that fundamental-mode Rayleigh waves dominate analysed wavefield frequency range 0.7–2.2 Hz. According this view a close relation exists between H/V spectral ratios ellipticity contributing waves. The inversion shape then provides quantitative information concerning local wave structure....
Research Article| December 19, 2018 A Deep Convolutional Neural Network for Localization of Clustered Earthquakes Based on Multistation Full Waveforms Marius Kriegerowski; Kriegerowski aUniversity Potsdam, Institut für Erd‐ und Umweltwissenschaften, Karl‐Liebknecht‐Str. 24‐25, 14476 Germany, kriegero@uni-potsdam.de, hvasbath@uni-potsdam.de, mao@geo.uni-potsdam.de Search other works by this author on: GSW Google Scholar Gesa M. Petersen; Petersen bHelmholtz Centre Potsdam German Geosciences ‐...
The knowledge of the local soil structure is important for assessment seismic hazards. A widespread, but time-consuming technique to retrieve parameters underground drilling boreholes. Another way obtain shear wave velocity profile at a given location inversion surface dispersion curves. To ensure good resolution both superficial and deeper layers, used curves need cover wide frequency range. This range can be obtained using several arrays sensors or single array comprising large number...
Modern acquisition of seismic data on receiver networks worldwide produces an increasing amount continuous wavefield recordings. In addition to manual inspection, seismogram interpretation requires therefore new processing utilities for event detection, signal classification and visualization. The use machine learning techniques automatises decision processes reveals the statistical properties data. This approach is becoming more important valuable large complex records. Unsupervised allows...
Volcanic eruptions are often preceded by seismic activity that can be used to quantify the volcanic activity. In order allow consistent inference of state from observed seismicity patterns, objective and time‐invariant classification results achievable automatic systems should preferred. Most approaches need a large preclassified data set for training system. However, in case crisis, we confronted with lack due insufficient prior observations. worst (e.g., crisis related reconfiguration...
Nowadays, an increasing amount of seismic data is collected by daily observatory routines. The basic step for successfully analyzing those the correct detection various event types. However, visually scanning process a time-consuming task. Applying standard techniques like STA/LTA trigger still requires manual control classification. Here, we present useful alternative. incoming stream scanned automatically events interest. A stochastic classifier, called hidden Markov model, learned each...
The H/V spectral ratio has emerged as a single station method within the seismic ambient noise analysis field by its capability to quickly estimate frequency of resonance at site and through inversion average profile information. Although it is easy compute from experimental data, counter theoretical part not obvious when building forward model which can help in reconstructing derived spectrum. This led simplified assumption that wavefield mainly composed Rayleigh waves often used without...
Ambient vibration techniques are promising methods for assessing the subsurface structure, in particular shear-wave velocity profile ( Vs ). They based on dispersion property of surface waves layered media. Therefore, penetration depth is intrinsically linked to energy content sources. For ambient vibrations, spectral extends general lower frequency when compared classical artificial Among available processing recorded signals, we focus here spatial autocorrelation method. stationary...
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We analyze the dispersion characteristics of ambient noise vibrations. For this purpose, two-dimensional (2d) seismic array data were acquired in four different sites Colfiorito plain, an alluvial intramountain basin that exhibits strong site effects. Assuming being mainly composed surface waves, we derive one-dimensional (1d) shallow shear-velocity profiles through inversion curves measured by frequency–wavenumber ( f-k ) methods. The inverted shear-wave velocity are consistent with a...
The inversion of surface-wave dispersion curve to derive shear-wave velocity profile is a very delicate process dealing with nonunique problem, which strongly dependent on the model space parameterization. When independent and reliable information not available, selection most representative models within ensemble produced by often difficult. We implemented strategy in curves able investigate influence parameterization select “best” class models. analyzed measured at 14 European...
Summary Distributed Acoustic Sensing (DAS) systems are increasingly used for earthquake monitoring due to their cost-effectiveness and high spatial resolution. However, signals exceeding the dynamic range in DAS lead signal clipping data loss during strong ground motion near-fault observations. In this study, we investigated saturation effects of using two collocated arrays with a looped setup Hualien City, drawing on seismic from 2022 MW 7.06 Taitung sequence. The arrays, connected...