Projecte llegit
Títol: Correlation between earthquakes and ionosphere scintillation measured with GNSS remote sensing techniques
Estudiants que han llegit aquest projecte:
- CARVAJAL LIBRADO, MIREIA (data lectura: 27-07-2023)
- Cerca aquest projecte a Bibliotècnica
- CARVAJAL LIBRADO, MIREIA (data lectura: 27-07-2023)
- Cerca aquest projecte a Bibliotècnica
Director/a: PARK, HYUK
Departament: FIS
Títol: Correlation between earthquakes and ionosphere scintillation measured with GNSS remote sensing techniques
Data inici oferta: 20-03-2023 Data finalització oferta: 06-10-2023
Estudis d'assignació del projecte:
- DG ENG AERO/SIS TEL
Tipus: Individual | |
Lloc de realització: ERASMUS | |
Supervisor/a extern: Jiyun Lee | |
Institució/Empresa: KAIST | |
Titulació del Director/a: Professor | |
Nom del segon director/a (UPC): Adriano Camps | |
Departament 2n director/a: | |
Paraules clau: | |
GNSS, Remote Sensing, Ionosphere, Earthquake | |
Descripció del contingut i pla d'activitats: | |
Objectives:
This project aims to deepen our understanding on the correlation between earthquakes and ionospheric anomalies. In order to do this, it will be studied different techniques of GNSS remote sensing, as well as the theoretical background that backs up the hypothesis of the correlation between earthquake and ionosphere scintillation anomalies. The objective of this work not only relies on a theoretical understanding but also try to prove the correlation with the use of real data provided by satellite constellations, in the line of work that has been doing UPC's Remote Sensing Laboratory. Methodology: In order to carry out the objectives of this project there will be 2 main sections with different methodologies, the theoretical and the practical part. For the theoretical chapter of this project, it will be studied the ionosphere itself and how the rapid movement of the electrons inside it, the ionospheric scintillation, can affect the GNSS signals. It will also be studied how earthquakes or other natural events can affect the ionosphere and scintillation, which backs up the motivation of this study by opening the possibility to find a correlation between the two processes mentioned before. In order to have this description of the ionosphere characteristics GNSS remote sensing techniques are used, so it will be also studied how these techniques work. For the theoretical part it will be used scientific publications and other readings to deepen the understanding of the concepts mentioned. As for the practical part, real data provided by the satellite constellation COSMIC-2 will be used. This data will be first pre- processed and filtered in order to have datasets with which it is possible to work with. The main index that is going to be looked at as a reference of ionospheric anomalies is the S4 scintillation index. There will be a first approximation with case-by case studies to determine the useful parameters that will be used as thresholds in the decision if some behavior is considered an anomaly or not. Then, it will be done a statistical analysis based on confusion matrices and the Receiver Operating Characteristic (ROC) curves to demonstrate the potential relationship between the S4 anomalies and earthquakes. For the practical part it will be used MATLAB for the data processing. Expected results: As for the expected results, it is expected to obtain temporal and spatial graphs pf case by case studies that show the correlation that is tried to be shown. Another expected result are the confusion matrices and ROC curves as a result of the statistical analysis. With this, it will be tried to back up the hypothesis of the positive correlation as a general case. |
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Overview (resum en anglès): | |
The Lithosphere- Atmosphere-Ionosphere coupling models have been widely studied and applied to earthquakes and their precursors. Recently, evidence has been found that electromagnetic phenomena related to earthquakes might produce ionospheric anomalies even before their occurrence. This thesis aims to analyze the correlation between ionospheric scintillation and seismic events such as earthquake precursors, with the hypothesis that there is a positive correlation. Among all the ionospheric indicators, this study analyzes the S4 scintillation index from COSMIC-2 GNSS Radio Occultation (GNSS-RO), to estimate the ionospheric perturbation and identify anomalies. Case studies of earthquakes happening in 2022, as well as a statistical analysis centered on the Coral Sea area, are presented showing positive correlation. In some of the case studies are seen anomalies up to one week before the earthquake. Moreover, in the statistical analysis it is shown a correlation with anomalies happening between 3 and 6 days before the earthquakes and the earthquake itself. A probability of detection of 35.7% and a false alarm rate of 7.1% are obtained. This leads to the conclusion of ionospheric scintillation and seismic activity having a small positive correlation. |