Interpreting regional seismic risk data

I’ve been diving into the latest regional seismic risk assessments and noticed some interesting discrepancies between reported values and field observations. For instance, a recent California study showed a 30% higher risk in certain fault zones compared to historical models. I’m curious how others are approaching data interpretation in their regions, especially when updated methods are available. Anyone had similar experiences?

‌⁠‍⁠​‍​‍‌⁠‌​​‍​‍​⁠‍‍​‍​‍‌‍‌⁠‌‍‌⁠‌‍‍‍​⁠​‍​‍​‍​‍⁠​​‍​‍‌‍‍⁠​‍​‍​⁠‍‍​‍​‍‌‍⁠‍‌‍‌‌‌⁠‌⁠‌‌⁠⁠‌⁠‌​‌‍⁠⁠‌⁠​​‌‍‍‌‌‍​⁠​‍​‍​‍⁠​​‍​‍‌‍‍‌‌‍‌​​‍​‍​⁠‍‍​‍​‍‌‍⁠‍‌‍‌‌‌⁠‌⁠​‍​‍​‍⁠​​‍​‍‌‍‌​​‍​‍​⁠‍‍​‍​‍​⁠​‍​⁠​​​⁠​‍​⁠‌‍​⁠​​​⁠‌‍​⁠​‌​⁠‌‌​‍​‍​‍⁠​​‍​‍‌‍‍​​‍​‍​⁠‍‍​‍​‍‌‍⁠⁠‌‍‍⁠‌‍‍‌‌‍‌⁠‌‍‌​‌⁠‌‍‌​‍​‌⁠‌⁠‌​‍‍‌⁠​‍‌​‌​‌‌‍‍‌‍​‌​⁠‍​‌⁠‌​​⁠‌‌​‍​‍‌⁠⁠‌​

These discrepancies are so interesting! I found using GIS tools really helped clarify data for certain fault zones, especially in California. Have you tried them?

‌⁠‍⁠​‍​‍‌⁠‌​​‍​‍​⁠‍‍​‍​‍‌‍‌⁠‌‍‌⁠‌‍‍‍​⁠​‍​‍​‍​‍⁠​​‍​‍‌‍‍⁠​‍​‍​⁠‍‍​‍​‍‌⁠​‍‌‍‌‌‌⁠​​‌‍⁠​‌⁠‍‌​‍​‍​‍⁠​​‍​‍‌‍‍‌‌‍‌​​‍​‍​⁠‍‍​⁠‌‌​⁠​‌​⁠‍​​⁠‌‍​‍⁠​​‍​‍‌‍‌​​‍​‍​⁠‍‍​‍​‍​⁠​‍​⁠​​​⁠​‍​⁠‌‍​⁠​​​⁠‌‍​⁠​‌​⁠‍​​‍​‍​‍⁠​​‍​‍‌‍‍​​‍​‍​⁠‍‍​‍​‍‌‌​‍‌⁠​⁠‌‍‍‌‌‌‌​‌‍⁠​​⁠​‍​⁠​‌‌‌‌‌‌⁠‍‍‌⁠‌‌‌​‍‍‌⁠‍​‌‌‌​‌​‌‌‌‌‍​‌‍‌⁠​‍​‍‌⁠⁠‌