A5080705512- Seismic Waves and Analysis
- Geophysics and Sensor Technology
- Seismic Imaging and Inversion Techniques
- Seismology and Earthquake Studies
- Geological Modeling and Analysis
- Ultrasonics and Acoustic Wave Propagation
- Mechanical and Optical Resonators
- Seismic Performance and Analysis
- Modular Robots and Swarm Intelligence
- Astro and Planetary Science
- Context-Aware Activity Recognition Systems
- Earthquake Detection and Analysis
- Structural Health Monitoring Techniques
- Distributed and Parallel Computing Systems
- earthquake and tectonic studies
- Robotics and Sensor-Based Localization
- Data Management and Algorithms
- Planetary Science and Exploration
- Methane Hydrates and Related Phenomena
- Advanced Fiber Optic Sensors
Ludwig-Maximilians-Universität München
2020-2025
LMU Klinikum
2020
Hochschule für Technik und Wirtschaft Dresden – University of Applied Sciences
2014
Abstract Unconsolidated sediments can amplify ground motions, increasing seismic hazard. Horizontal-to-vertical spectral ratios derive the thickness of overlaying stiffer bedrock. However, additional information about shear velocities and calibration with other structural is necessary. Here, we propose a strictly ambient noise-based workflow that map depth without from data sources. Rayleigh wave dispersion curves ellipticities are derived three-component beamforming noise combined...
Microzonation is one of the essential tools in seismology to mitigate earthquake damage by estimating near-surface velocity structure and developing land usage plans intelligent building design. The number microzonation studies increased last few years as induced seismicity becomes more relevant, even low-risk areas. While vital importance, especially densely populated cities, most traditional techniques suffer from different shortcomings. technique presented here tries reduce existing...
SUMMARY In many seismological, environmental and engineering applications a detailed S-wave velocity model of the shallow subsurface is required. This generally achieved by inversion surface wave dispersion curves using various methods. The classical approaches suffer from several shortcomings, such as inaccurate solutions due to local minima or large computation times in case wide parameter space. A number machine learning (ML) have been suggested tackle these problems, which however do not...
SUMMARY The essential goal of seismic microzonation is the estimation shallow velocity structure in order to characterize local earthquake shaking characteristics. This special importance densely inhabited areas with unfavourable soil conditions. common approach analysis ambient noise array data using frequency–wavenumber (FK) or spatial autocorrelation (SPAC) techniques. However, installation arrays difficult, especially within urban environments, making single-station approaches more...
Abstract This study provides a comprehensive exploration of ground motions associated with micro-earthquakes induced by geothermal power plants (GPP) in Southern Germany and proposes corresponding motion prediction equations (GMPE). Initiating statistical analysis recorded seismic data from the GPP Insheim, is extended to Greater Munich Area. For latter, scarce are merged physics-based simulation data. The Poing, Unterhaching simulated compared existing GMPEs for GPP-induced events,...
In the past few years, remarkable progress of commercially operated spacecrafts, success with reusable rocket engines, as well international competition to explore space, has led a substantial acceleration activities in design and preparation ambitious future lunar missions. search for ice and/or cavities imaging shallow subsurface structure is vital importance. Hereby, previous studies have shown that seismic interferometry promising method investigate properties from passive data. this...
Abstract This study provides a comprehensive exploration of ground motions associated with micro-earthquakes induced by geothermal power plants (GPP) in Southern Germany and proposes corresponding motion prediction equations (GMPE). Initiating statistical analysis recorded seismic data from the GPP Insheim, is extended to greater Munich area. For latter, scarce are merged physics-based simulation data. The Poing, Unterhaching simulated compared existing GMPEs for GPP-induced events,...
Abstract In the past few years, remarkable progress of commercially operated spacecrafts, success with reusable rocket engines, as well international competition to explore space, has led a substantial acceleration activities in design and preparation ambitious future lunar missions. search for ice and/or cavities imaging shallow subsurface structure is vital importance. Hereby, previous studies have shown that seismic interferometry promising method investigate properties from passive data....
Ground motion observations on planetary objects are a prerequisite for detailed understanding of their interior structure and evolution. The imaging the near surface - in particular Moon has strong practical implications. First, race is to detect ice-bearing rocks from which water could be extracted used as resource crewed missions. Second, due substantial bombardment lunar with meteorites lack an atmosphere, observatories or habitats may have built underground. It been proposed that...
This research introduces a novel approach to seismic exploration on the Moon and Mars, employing autonomous robotic swarms equipped with sensing processing hardware. By relying probabilistic inference methods, we aim survey large surface areas both autonomously identify map subsurface features such as lava tubes ice deposits. These are crucial for future human habitats potential in-situ resource utilization. endeavor presents unique challenges due communication limitations uncertainties...
Well-designed monitoring networks are crucial for obtaining precise locations, magnitudes and source parameters, both natural induced microearthqakes. The performance of a seismic network depends on many factors, including geometry, signal-to-noise ratio (SNR) at the station, instrumentation sampling rate. Therefore, designing high-quality in an urban environment is challenging due to high level anthropogenic noise dense building infrastructure, which can impose geometrical limitations...
<p>Microzonation is one of the essential tools in seismology to mitigate earthquake damage by estimating near surface velocity structure and developing land usage plans intelligent building design. The number microzonation studies increased last few years as induced seismicity becomes more relevant, even low risk areas. While vital importance, especially densely populated cities, most traditional techniques suffer from different short comings. technique presented here tries...