DocumentCode
495748
Title
Flash-Based Tool for Earthquake Epicenter Identification
Author
Ouyang, Youwen ; Lehmann, Matthew ; Hayden, Katherine ; Kilb, Debi
Author_Institution
Comput. Sci. & Inf. Syst., California State Univ. San Marcos, San Marcos, CA, USA
Volume
2
fYear
2009
fDate
March 31 2009-April 2 2009
Firstpage
389
Lastpage
393
Abstract
Previously, the methods used by scientists to locate an earthquake epicenter were so cumbersome, even for scientists, that the epicenter location methodology needed to be simplified before it was presented to K-12 students. Today, because of the advances in computer technology, there is a smaller divide between what is performed in research laboratories and what can be introduced in classrooms. The Flash-based Earthquake Location Tool (FELT) provides an authentic earthquake locating experience for students. FELT retrieves seismic data from recent earthquakes and displays seismograms that students can interact with in order to determine an earthquake´s epicenter. XML files provide reference points for the selected earthquakes and their seismograms. FELT allows its client to perform computations and interact with Google Maps API as it loads data, images and audios asynchronously, and redraws sections of the screen, all independent of the server with which it is connected.
Keywords
XML; earthquakes; geophysics computing; seismology; FELT; Flash-based Earthquake Location Tool; Google Maps API; XML files; computer technology; earthquake epicenter identification; epicenter location methodology; seismic data; seismograms; Computer science; Computer science education; Earthquake engineering; Educational institutions; Information retrieval; Information systems; Laboratories; Marine technology; Seismology; Systems engineering education; Cyberinfrastructure; Flash-based; Google MAP APIs; Science Education; Seismic Data;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location
Los Angeles, CA
Print_ISBN
978-0-7695-3507-4
Type
conf
DOI
10.1109/CSIE.2009.483
Filename
5171366
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