solvis 0.3.1

analysis of opensha modular solution files.

solvis

a demo to try some techniques for analysis of opensha modular solution files.

• opensha modular documentation
• pandas, geopanda references

goals

From a typical modular opensha Inversion Solution archive, we want to produce views that allow deep exploration of the solution and rupture set characteristics. Features:

• user can choose from regions already defined in the solution
• user can select ruptures matching
  • parent fault
  • named fault (fault system)
  • constraint region (from TargetMFDs)
• user can create new region polygons
• user can compare selections (e.g. Wellington East vs Wellington CBD vs Hutt Valley)
• for a given query result show me dimensions...
  • mag, length, area, rate, section count, parent fault count, jump-length, jump angles, slip (various), partication, nucleation
  • filter, group on any of the dimensions

From here the user can answer questions like ....

• create a MFD histogram in 0.01 bins from 7.0 to 7.30 (3O bins) for the WHV fault system

• list all ruptures between 7.75 and 8.25, involving the TVZ, ordered by rupture-length

• given a user-defined-function udfRuptureComplexity(rupture) rank ruptures in Region X by complexity, then by magnitude

• regional MFD

  • participation (sum of rate) for every rupture though a point
  • nucleation/blame/culpability rate summed over the region normalised by the area of an area (region, named fault)

install

git clone
poetry install

Run

python3 -m demo

or python3 demo.py

Plotting

f = plt.figure() #nx = int(f.get_figwidth() * f.dpi) #ny = int(f.get_figheight() * f.dpi) f.figimage(data) plt.show()