Recording and analyzing seismic data is essential for understanding seismic activity and predicting the behavior of certain natural phenomena. They often provide relevant information about subsurface composition, among other uses. Despite its benefits and the fact that seismic data analysis is a fairly well-explored field, processing the large volume of information collected poses a challenge, which can make its management and analysis difficult. This paper describes the development of a web application designed to collect, organize, and display seismic data obtained from the National Seismological Service (SSN), using the principles of the relational database model. The tool would allow users to access seismograms intuitively and efficiently, facilitating the interpretation of key information for geophysical research. Its compatibility, scalability, and ease of use are highlighted. Finally, the advantages and limitations of the application are discussed, as well as future improvements for more in-depth data analysis.

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Databases in Seismic Data Analysis and Processing: A Dedicated Web Application

  • G. A. Yáñez-Casas,
  • J. J. Hernández-Gómez,
  • A. Cruz-Aparicio,
  • A. Ruán-Aldana,
  • A. Gutiérrez-Aguilar,
  • A. Trujillo-Alcántara

摘要

Recording and analyzing seismic data is essential for understanding seismic activity and predicting the behavior of certain natural phenomena. They often provide relevant information about subsurface composition, among other uses. Despite its benefits and the fact that seismic data analysis is a fairly well-explored field, processing the large volume of information collected poses a challenge, which can make its management and analysis difficult. This paper describes the development of a web application designed to collect, organize, and display seismic data obtained from the National Seismological Service (SSN), using the principles of the relational database model. The tool would allow users to access seismograms intuitively and efficiently, facilitating the interpretation of key information for geophysical research. Its compatibility, scalability, and ease of use are highlighted. Finally, the advantages and limitations of the application are discussed, as well as future improvements for more in-depth data analysis.