Abstract:
Earthquake data composes an ever increasing collection of earth science information for
post-processing analysis. Earth scientists, Geologist, administration officers are working with
these data collections for scientific or planning purposes. Therefore, colleting ofseismic data is
very much useful. We propose a seismic data management system and analyzing system for
seismological data collected in the local seismic network system in Sri Lanka. Although several
hundreds of earthquakes and earth tremors reported in and around Sri Lanka during the last
decade, detailed investigation of their activity has not been carried out. The unavailability of
suitable seismic network system for Sri Lanka and the lack of expertise for analyzing such data
are two main reasons for this. Therefore we try to investigate possible location ofseismic station
and study the method of data management system.
By using available seismic data and the location ofseismically active regions a suitable
locations for seismic stations are proposed. One ofthe most important parts ofthe present study
is to create a Seismological Information Data warehouse to store the data coming from the
seismic network system and global network data, and managing existing database. Since this
type of local seismic station system has not been installed yet, the maintaining procedure ofthe
proposing database is tested using the available global data from the IRIS data management
center.
A seismic data management system and analyzing system for seismological data
collected in the local seismic network are discussed. The QlikView Business Intelligent Tool is
used to develop the algorithm for visualization of data stored in the proposed seismic network
system. Various types of profiles can be visualized using QlikView visualization method. Then
we try to discuss the architecture of a seismic data management and mining system for quick and
easy data collection, processing. The database is creating using SQL server and applying the data
to the software for creating data warehouse, Querying, and Mining ofseismic data stored in the
database.
Giving earthquake information alert to general public and government administrative
officers are also an important task. We therefore made an attempt to give earthquake information
to relevant authorities using our database. If an earthquake takes place, the region where the
earthquake occurred can be identified using our database. Then location of the event can be
informed with respect to the famous cities in Sri Lanka.
