Logo Goletty

Fuzzy Logic Based Model for Predicting Volcanic Activity
Journal Title Indian Journal of Science and Technology
Journal Abbreviation indjst
Publisher Group Informatics (India) Limited (gjeis)
Website http://gjeis.org/index.php/indjst
PDF (233 kb)
   
Title Fuzzy Logic Based Model for Predicting Volcanic Activity
Authors Dashore, Nilesh; Upadhyaya, Gopal; Vyas, Kapil
Abstract This paper describes a fuzzy logic based system to predict volcanic eruption. Meaningful prediction requires careful monitoring of a volcano´s vital signs. Seismometers can be used to pinpoint earthquakes which track the rise of magma and its movement along fissures. Measurements of the tilt of the entire mountain provide additional information about the ´breathing´ of the volcano as magma moves inside it. Instruments that sniff SO2, CO2 and other gases also can signal changes in the volcano. At some volcanoes the seismic information seems most reliable; at others the tilt tells the story. But the best predictions come from the combination of all of these methods into a volcano monitoring and prediction system.
Publisher Indian Society for Education and Environment (ISEE)
Date 2010-07-01
Source Indian Journal of Science and Technology Volume 3, Issue 7, July 2010

 

See other article in the same Issue


Goletty © 2024