Lecture 11: Earthquake Prediction Flashcards
What data are needed to predict EQ? (5)
1) Historical and pre-historical data (paleoseismology) for M>6
2) Active monitoring (dense arrays of seismographs = better constraints on depth, location, magnitude, and focal mechanism)
3) Monitor “seismic gaps” and areas susceptible to “stick-slip”
4) Analogues: new research by Geological Survey of Canada plans to use knowledge gained by Chilean EQ record (frequent EQs) to predict style of rupture along the Cascadia Margin (Southern BC and Washington State area)
5) Improved modeling of seismic wave energy through different rock types (material properties, Young’s modulus)
Direct volcano hazards (12)
Lava Pyroclastic flow Nuee Ardentes Pyroclastic surge Ash fall Acid rain Bombs Lahar Debris avalanche Shock wave Lateral blast Gases
Indirect volcano hazards (3)
Change in groundwater
Lack of vegetation
Lack of solid ground
Splatter cones
Numerous locations, even on other volcano types, low viscosity, basalt
Shield volcanoes
Mostly ocean islands above mantle plumes (Hawaii and Iceland), basalt
Stratovolcanoes
Volcanic Arcs above subduction zones (e.g. Maipo (Chile) or Mt. St. Helen’s (Washington State) andesite
Caldera or super volcanoes
Involve continental crust, high viscosity, very explosive (e.g. Yellowstone, Long Valley) rhyolite
How do we predict volcanic eruptions? (4)
Much easier than EQs
1) Previous eruptions are good indications, edifices are already there, so we know previous chemistry (viscosity) from the rock types
2) Monitor water content (viscosity), gas composition and volume (depth and composition of magma)
3) Monitor changes in steam temperature and topography (bulges on side of volcano)
4) Monitor local small EQs to sense depth, size, and ascension of magma