The 2015 Uniform California Earthquake Rupture Forecast, Version 3, or UCERF3, is the latest official earthquake rupture forecast (ERF) for the state of California, superseding UCERF2. It provides authoritative estimates of the likelihood and severity of potentially damaging earthquake ruptures in the long- and near-term. Combining this with ground motion models produces estimates of the severity of ground shaking that can be expected during a given period (seismic hazard), and of the threat to the built environment (seismic risk). This information is used to inform engineering design and building codes, planning for disaster, and evaluating whether earthquake insurance premiums are sufficient for the prospective losses. A variety of hazard metrics can be calculated with UCERF3; a typical metric is the likelihood of a magnitude M 6.7 earthquake (the size of the 1994 Northridge earthquake) in the 30 years since 2014. UCERF3 was prepared by the Working Group on California Earthquake Probabilities (WGCEP), a collaboration between the United States Geological Survey (USGS), the California Geological Survey (CGS), and the Southern California Earthquake Center (SCEC), with significant funding from the California Earthquake Authority (CEA).
Highlights A major achievement of UCERF3 is use of a new methodology that can model multifault ruptures such as have been observed in recent earthquakes. This allows seismicity to be distributed in a more realistic manner, which has corrected a problem with prior studies that overpredicted earthquakes of moderate size (between magnitude 6.5 and 7.0). The rate of earthquakes of magnitude (M) 6.7 and greater (over the entire state) is now believed to be about one in 6.3 years, instead of one in 4.8 years. On the other hand, earthquakes of magnitude 8 and larger are now expected about every 494 years (down from 617). Otherwise the overall expectations of seismicity are generally in line with earlier results. (See Table A for a summary of the overall rates.) The fault model database has been revised and expanded to cover over 350 fault sections, up from about 200 for UCERF2, and new attributes added to better characterize the faults. Various technical improvements have also been made.
Of the six main faults evaluated in previous studies the Southern San Andreas Fault remains the most likely to experience an M ≥ 6.7 earthquake in the next 30 years. The largest increase in such likelihood is on the Calaveras Fault (see main faults map for location), where the mean (most likely) value is now set at 25%. The old value, of 8%, is less than the minimum now expected (10%). The previous under-estimate is believed to be due mostly to not modeling multifault ruptures, which limited the size of many ruptures. The largest probability decrease is on the San Jacinto Fault, which went from 32% to 9%. Again this is due to multifault rupturing, but here the effect is fewer earthquakes, but they are more likely to be bigger (M ≥ 7.7)
Table B
Methodology California earthquakes result from the Pacific plate, heading approximately northwest, sliding past the North American continent. This requires accommodation of 34 to 48 millimeters (about one and a half inches) of slippage per year, with some of that taken up in portions of the Basin and Range Province to the east of California. This slippage is accommodated by ruptures (earthquakes) and aseismic creep on the various faults, with the frequency of ruptures dependent (in part) on how the slippage is distributed across the various faults.
Modeling
Like its predecessor, UCERF3 determines this based on four layers of modeling:
The fault models (FM 3.1 and 3.2) describe the physical geometry of the larger and more active faults. Deformation models determine the slip rates and related factors for each fault section, how much strain accumulates before a fault ruptures, and how much energy is then released. Four deformation models are used, reflecting different approaches to handling earthquake dynamics. The earthquake rate model (ERM) fits together all this data to estimate the long-term rate of rupturing. The probability model estimates how close (ready) each fault segment is to rupturing given how much stress has accumulated since its last rupture. The first three layers of modeling are used to determine the long-term, or Time Independent, estimates of the magnitude, location, and frequency of potentially damaging earthquakes in California. The Time Dependent model is based on the theory of elastic rebound, that after an earthquake releases tectonic stress there will be some time before sufficient stress accumulates to cause another earthquake. In theory, this should produce some regularity in the earthquakes on a given fault, and knowing the date of the last rupture is a clue to how soon the next one can be expected. In practice this is not so clear, in part because slip rates vary, and also because fault segments influence each other, so a rupture on one segment triggers rupturing on adjacent segments. One of the achievements of UCERF3 is to better handle such multifault ruptures. The various alternatives (see diagram), taken in different combinations, form a logic tree of 1440 branches for the Time Independent model, and, when the four probability models are factored in, 5760 branches for the Time Dependent model. Each branch was evaluated and weighted according to its relative probability and importance. The UCERF3 results are an average of all these weighted alternatives.
"The Grand Inversion" In UCERF2 each fault was modeled separately, as if ruptures do not extend to other faults. This assumption of fault segmentation was suspected as the cause of UCERF2 predicting nearly twice as many earthquakes in the M 6.5 to 7.0 range then actually observed, and is contrary to the multifault rupturing seen in many earthquakes. UCERF3 subdivides each fault section (as modeled by the Fault Models) into subsections (2606 segments for FM 3.1, and 2665 for FM 3.2), then considers ruptures of multiple segments regardless of which parent fault they belong to. After removing those ruptures considered implausible there are 253,706 possibilities to consider for FM 3.1, and 305,709 for FM 3.2. This compares to less than 8,000 ruptures considered in UCERF2, and reflects the high connectivity of California's fault system.
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![UCERF3: Location of main faults in following table, with segments color-coded to show slip-rate (up to 40 mm per year).[12]](https://upload.wikimedia.org/wikipedia/commons/thumb/f/f6/UCERF3_fig06.jpg/500px-UCERF3_fig06.jpg?utm_source=en.wikipedia.org&utm_campaign=parser&utm_content=thumbnail)
![UCERF3: UCERF3's four levels of modeling, and some of the alternatives that form the logic-tree.[21]](https://upload.wikimedia.org/wikipedia/commons/thumb/7/7b/UCERF3_LogicTreeTD_v15.png/500px-UCERF3_LogicTreeTD_v15.png?utm_source=en.wikipedia.org&utm_campaign=parser&utm_content=thumbnail)
![UCERF3: Fig. C21 from Appendix C.[28] Plots of slip rates on two parallel faults (the San Andreas and the San Jacinto) as determined by three deformation models, and a "geologic" model based entirely on observed slip rates, showing variations along each segment. The grand inversion solves for these and many other variables to find values that provide an overall best fit.](https://upload.wikimedia.org/wikipedia/commons/thumb/b/b0/UCERF3_figC21.jpg/500px-UCERF3_figC21.jpg?utm_source=en.wikipedia.org&utm_campaign=parser&utm_content=thumbnail)
