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Fuzzy Logic Based Model for Predicting Volcanic Activity


Affiliations
1 Dept. of Physics, B.M. College of Technology, Indore-452012, India
2 School of Studies in Physics, Vikram University, Ujjain, India
3 Dept. of Computer Science B.M. College of Technology, Indore 452012, India
 

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.

Keywords

Fuzzy Logic Control System
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  • Fuzzy Logic Based Model for Predicting Volcanic Activity

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Authors

Nilesh Dashore
Dept. of Physics, B.M. College of Technology, Indore-452012, India
Gopal Upadhyaya
School of Studies in Physics, Vikram University, Ujjain, India
Kapil Vyas
Dept. of Computer Science B.M. College of Technology, Indore 452012, India

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.

Keywords


Fuzzy Logic Control System

References





DOI: https://doi.org/10.17485/ijst%2F2010%2Fv3i7%2F29810