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Develo**, testing, and communicating earthquake forecasts: Current practices and future directions
While deterministically predicting the time and location of earthquakes remains impossible,
earthquake forecasting models can provide estimates of the probabilities of earthquakes …
earthquake forecasting models can provide estimates of the probabilities of earthquakes …
Intermittent criticality multi‐scale processes leading to large slip events on rough laboratory faults
We discuss data of three laboratory stick‐slip experiments on Westerly Granite samples
performed at elevated confining pressure and constant displacement rate on rough fracture …
performed at elevated confining pressure and constant displacement rate on rough fracture …
Implementing non‐poissonian forecasts of distributed seismicity into the 2022 Aotearoa New Zealand National Seismic Hazard Model
Seismicity usually exhibits a non‐Poisson spatiotemporal distribution and could undergo
nonstationary processes. However, the Poisson assumption is still deeply rooted in current …
nonstationary processes. However, the Poisson assumption is still deeply rooted in current …
Pseudo‐prospective forecasting of induced and natural seismicity in the Hengill geothermal field
The Hengill geothermal field, located in southwest Iceland, is host to the Hellisheiði power
plant, with its 40+ production wells and 17 reinjection wells. Located in a tectonically active …
plant, with its 40+ production wells and 17 reinjection wells. Located in a tectonically active …
New features in the pyCSEP toolkit for earthquake forecast development and evaluation
Abstract The Collaboratory for the Study of Earthquake Predictability (CSEP) is a global
community dedicated to advancing earthquake predictability research by rigorously testing …
community dedicated to advancing earthquake predictability research by rigorously testing …
Distribution related to all samples and extreme events in the ETAS cluster
The probabilistic approach of statistical seismology plays a fundamental role in analyzing
the evolution of an earthquake sequence at different scales to deliver reliable forecasts of …
the evolution of an earthquake sequence at different scales to deliver reliable forecasts of …
Pseudo-prospective earthquake forecasting experiment in Italy based on temporal variation of the b-value of the Gutenberg–Richter law
E Biondini, F D'Orazio, B Lolli… - Geophysical Journal …, 2025 - academic.oup.com
We present the BVAL method, designed to forecast potentially damaging earthquakes (M
w≥ 5.0) in Italy based on temporal variations of the b-value of the Gutenberg–Richter …
w≥ 5.0) in Italy based on temporal variations of the b-value of the Gutenberg–Richter …
Comparison between alarm-based and probability-based earthquake forecasting methods
In a recent work, we applied the every earthquake a precursor according to scale (EEPAS)
probabilistic model to the pseudo-prospective forecasting of shallow earthquakes with …
probabilistic model to the pseudo-prospective forecasting of shallow earthquakes with …
[PDF][PDF] Modelling induced seismicity in deep geothermal systems
V Ritz - 2023 - research-collection.ethz.ch
Geothermal energy is a renewable and low-carbon energy source relying on the natural
heat hidden in the Earth's crust. In the quest to divest from fossil-fuel based energy sources …
heat hidden in the Earth's crust. In the quest to divest from fossil-fuel based energy sources …