Lecture 1
Lecture 2
Lecture 3
Lecture 4
Lecture 5
Lecture 6
Lecture 7
Lecture 8
TITLE
Plate tectonics, faulting and earthquakes
HOURS
3
LECTURER
Dr. A. Arda Özacar, Middle East Technical University
OBJECTIVES
By the end of this short course, students will have an understanding of the dynamic processes within the Earth from seismic and geologic data.
TOPICS
- Basics of plate tectonics, rheology of Earth’s interior, ductile vs brittle deformation
- Physics of faulting, elastic rebound theory and seismic cycle
- Elastic deformation and seismic waves
- Plate boundaries and kinematics
TITLE
Seismic source analysis
HOURS
5
LECTURER
Dr. A. Arda Özacar, Middle East Technical University
OBJECTIVES
By the end of this short course, students will have an understanding of the processes involved in seismic source analysis and it’s interpretation from active tectonic perspective.
TOPICS
- Earthquake location and magnitude
- Equivalent forces and first motion analysis
- Moment tensor and waveform modeling
- Source parameters and earthquake statistics
- Tectonic interpretations
TITLE
Seismic Hazard Analysis
HOURS
8
LECTURER
Dr. Sinan Akkar, Middle East Technical University
TOPICS
- Introduction: Brief review on the components and types of seismic hazard analysis
- Seismicity and earthquake recurrence models
- Ground-motion prediction equations
- Deterministic seismic hazard analysis
- Probabilistic seismc hazard analysis
- Uniform hazard spectrum concept
TITLE
Strong Ground Motion Simulations
HOURS
4
LECTURER
Dr. Aysegul Askan, Middle East Technical University
OBJECTIVES
In this short course, basics of the current ground motion simulation methods will be presented. By the end of this course, students will be able to simulate strong ground motions of a particular event with well-known source, path and site parameters.
TOPICS
- Introduction: Brief review on the components and types of seismic hazard analysis
- Introduction to ground motion simulations
- Current methods
- Source, path and site modeling
- Case study
- Summary
TITLE
Modeling under uncertainty for tsunami early warning
HOURS
8
LECTURER
Prof. Jörn Behrens, University of Hamburg
OBJECTIVES
The course „modeling under uncertainty for tsunami early warning“ will introduce to the basic methods in tsunami modeling and to the concepts involved in deriving forecasts from the models. One of the main objectives is to introduce the students to diverse fields of uncertainty – and possibly error – in a realistic simulation environment. Starting from basics in tsunami physics, we will go through the diverse stages of the tsunami simulation chain and learn about the mathematization of the problem as well as sources of uncertainty in each step. In the end, we will have an overview of how to derive tsunami forecasts, once an earthquake occurred, and how to use simulation based tools for preparing for the worst.
TOPICS
Lecture 1: Introduction
Introduction to the topic
• Components of a tsunami early warning system (TEWS)
• Application fields for tsunami modeling
• Sources of uncertainty in the modeling chain
• Principles and simple heuristics in tsunami physics
Lecture 2: Developing a tsunami model
• Principles of wave propagation
• Deriving the basic equations
• Discretization methods
• The problem of large scale discrepancy
• Multi-scale methods with multi-resolution meshes
• One example for an operational tsunami model
Lecture 3: How to run a tsunami model and how to judge the results
• Prerequisites for running a tsunami simulation
• Purposes for tsunami simulation
• Source modeling
• Bathymetry and Topography
• How to parameterize complex behavior in the inundation phase
• Validation of simulation results
• Visualization and interpretation of results
Lecture 4: The forecasting problem
• Near-field vs. far-field tsunami early warning and sensitivity of the problem
• Different approaches to forecasting: Decision matrix, linear inversion, multi-sensor
• A simple model for uncertainty propagation
• Consequences for uncertainty reduction from the simple model
• Multi-sensor near-field tsunami early warning
• Summary and Conclusions
TITLE
Introduction to seismic wave propagation
HOURS
8
LECTURER
Prof. Roberto Paolucci, Politecnico di Milano
OBJECTIVES
To introduce elementary concepts of seismic wave propagation and to work out several applications where the effects of geological irregularities on earthquake ground motion are studied by analytical approaches.
TOPICS
- Introduction to body and surface waves
- Initial and boundary conditions problems
- Reflection and transmission coefficients
- Seismic response of a layer over half space
- Seismic wave propagation in 2D and 3D: some analytical solutions
TITLE
Kernel-based reconstruction from scattered seismic data
HOURS
8
LECTURER
Prof. Dr. Armin Iske, University of Hamburg
OBJECTIVES
This course gives a mathematical introduction to kernel-based approximation from scattered seismic data, where special emphasis is placed on the automated detection of singularities and on multiresolution algorithms. Selected computational aspects, especially concerning efficient implementation of the proposed algorithms, will be addressed.
General objectives:
good understanding of basic algorithms and models in kernel-based scattered data approximation
TOPICS
- kernel-based approximation: problem formulation, kernel functions and their native function spaces
- optimality of the reconstruction scheme: variational properties, orthogonality and best approximation, pointwise optimality
- conditioning of the reconstruction scheme: condition number, Lebesgue constant, construction of stable bases.
- penalized least squares approximation: theory and implementation
- multilevel approximation algorithms: theory and implementation
TITLE
Stochastic Models and Statistical Techniques Applied to Earthquake Catalogue Data
HOURS
4
LECTURER
Dr. Anna Maria Lombardi, INGV, National Institute of Geophysics and Volcanology, Rome
OBJECTIVES
This course gives an introduction to probabilistic models for earthquakes occurrence, where special emphasis is placed on the point processes. Some aspects concerning the forecasting of earthquakes and the validation of the models will be addressed.
TOPICS
- Main topics on the probabilistic modeling, with special emphasis to point processe
- Basic stochastic space-time-magnitude models of Earthquake Catalogue Data. Models for seismic sequences. ETAS model.
- Maximum likelihood estimation of models parameters, declustering techniques, simulation
- Fitting and testing point process models
- Forecasting of earthquakes
