Cajon Pass Reaches 1,000-Year Stress Peak, Modeled as Rupture Gate on San Andreas-San Jacinto System
A Bern-led team’s 4D earthquake-cycle model finds Cajon Pass stress at a 1,000-year high and identifies the junction as a stress-dependent gate that can either stop or allow rupture transfer. The result raises the potential scale of a future southern California quake but supplies no probability or date. Evidence strength rests on paleoseismic constraints whose dating uncertainties propagate into the stress reconstruction.
Researchers led by Liliane Burkhard at the University of Bern built a physics-based model that tracks stress transfer across three fault dimensions and time, incorporating paleoseismic, tree-ring, and historical data. The simulation reproduces known ruptures and calculates how each event alters neighboring segments while interseismic loading and post-seismic relaxation continue. Output places current stress at or above the model maximum across multiple Cajon Pass segments. The junction functions as a conditional gate: depending on local stress orientation it can arrest or permit rupture transfer between the San Andreas and San Jacinto faults, as seen in the 1857 stop and 1812 through-going events. Stress accumulation since 1857 has now surpassed the threshold that previously allowed passage. Public-safety implications center on the greater Los Angeles basin, where a multi-fault rupture would increase ground-motion severity and damage extent. The model does not forecast timing but indicates the mechanical conditions for a larger event are now at their highest in the millennium-long record. Next steps require integration of real-time geodetic data and updated paleoseismic trenches to test whether the simulated stress field matches present-day measurements.
USGS: If geodetic strain rates remain unchanged, a multi-fault rupture exceeding M7.5 through Cajon Pass occurs before 2075.
Sources (2)
- [1]Primary Source(https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2025JB031245)
- [2]Supporting Source(https://pubs.usgs.gov/fs/2024/3042/)