ECTS - University of Pisa
| Modules | Area | Type | Hours | Teacher(s) | |
| EARTHQUAKE SEISMOLOGY | GEO/10 | LEZIONI | 54 |
|
The course focuses on theoretical, computational and observational aspects of earthquake seismology. The objective of course is to teach the fundamentals of seismic waves generation and propagation in seismology, the physics of earthquake sources as well as the routine analysis of seismological data.
The course focuses on theoretical, computational and observational aspects of earthquake seismology. The objective of course is to teach the fundamentals of seismic waves generation and propagation in seismology, the physics of earthquake sources as well as the routine analysis of seismological data.
Through the practical sessions each student shall show to be able to apply, with critical awareness, what explained by the lecturer during the course.
Through the practical sessions each student shall show to be able to apply, with critical awareness, what explained by the lecturer during the course.
The student will learn the physics on seismic wave propagation and generation and he will be able to use it to solve basic numerical problems in seismology. He/She can also carry out in-depth analysis on topics related to seismological data processing.
The student will learn the physics on seismic wave propagation and generation and he will be able to use it to solve basic numerical problems in seismology. He/She can also carry out in-depth analysis on topics related to seismological data processing.
Oral exams on thery and coding practicals (in Python) aimed at solving different seismological problems.
Oral exams on thery and coding practicals (in Python) aimed at solving different seismological problems.
Students attending this course will understand both a theoretical and practical point of view the main seismological concepts, furthermore they will learn to solve autonomously a wide range of seismological problems
Students attending this course will understand both a theoretical and practical point of view the main seismological concepts, furthermore they will learn to solve autonomously a wide range of seismological problems
Written and oral test.
Written and oral test.
Signal Theory, Linear Algebra, Calculus of Singe and Multiple Varaibles and Vector Calculus, Structural Geology, Coding Skills in Python.
Signal Theory, Linear Algebra, Calculus of Singe and Multiple Varaibles and Vector Calculus, Structural Geology, Coding Skills in Python.
Computational Geophysics
Computational Geophysics
Introduction and general concepts (2 h)
Theory of Seismic Waves (24 h)
- Fundamentals of Elasticity Theory
- The Seismic Wave Equation
- Body Waves and Ray Theory
- Surface Waves and Dispersion
- Seismic Waves and the Internal Structure of the Earth
Earthquake seismology (24 h)
- Physics of Seismic Sources
- Seismic Moment Tensors and Source parameters
- Kinematics and Dynamics of Earthquakes
- Seismological Data Analysis
- Earthquake statistics
- Elements of Seismotectonics
Principles of Seismometry (4 h)
- The Seismometer
- Ambient Noise
- Seismic Networks and Arrays
- Seismograms Interpretation
Practicals:
During the course students will write python codes to solve the following computational problems:
a) Modeling synthetic seismograms in a layered medium with reflectivity (plane SH wave)
b) Modeling of seismic wave propagation in 2D media using the finite difference metehod
c) Modeling the dispersion curve of the fundamental mode of Rayleigh waves
d) Modeling seismic source spectra using the Brune model
e) Analysis of seismograms of real earthquakes
Introduction and general concepts (2 h)
Theory of Seismic Waves (24 h)
- Fundamentals of Elasticity Theory
- The Seismic Wave Equation
- Body Waves and Ray Theory
- Surface Waves and Dispersion
- Seismic Waves and the Internal Structure of the Earth
Earthquake seismology (24 h)
- Physics of Seismic Sources
- Seismic Moment Tensors and Source parameters
- Kinematics and Dynamics of Earthquakes
- Seismological Data Analysis
- Earthquake statistics
- Elements of Seismotectonics
Principles of Seismometry (4 h)
- The Seismometer
- Ambient Noise
- Seismic Networks and Arrays
- Seismograms Interpretation
Practicals:
During the course students will write python codes to solve the following computational problems:
a) Modeling synthetic seismograms in a layered medium with reflectivity (plane SH wave)
b) Modeling of seismic wave propagation in 2D media using the finite difference metehod
c) Modeling the dispersion curve of the fundamental mode of Rayleigh waves
d) Modeling seismic source spectra using the Brune model
e) Analysis of seismograms of real earthquakes
Reference Books:
Aki, Richards: Quantitative Seismology
Thorne, Lay: Modern Global Seismology
Pujol : Elastic Wave Propagation and Generation in Seismology
Udias, Buforn, Madariaga : Source Mechanisms of Earthquakes
Reference Books:
Aki, Richards: Quantitative Seismology
Thorne, Lay: Modern Global Seismology
Pujol : Elastic Wave Propagation and Generation in Seismology
Udias, Buforn, Madariaga : Source Mechanisms of Earthquakes
Written and Oral Test
Written and Oral Test
