Earthquakes are famously impossible to predict, and have been the cause of some of the most devastating events in human history. But could we learn more about these natural disasters by tracking them backwards through time?
Earthquakes themselves affect the movement of Earth's tectonic plates, which in turn could impact on future earthquakes, according to new research from the University of Copenhagen.
By examining earthquake models from a fresh perspective, Cornell University engineers now show that the earthquake fracture energy – once thought to relate to how faults in the Earth’s crust weaken – is related to how quakes stop.
Researchers from the Oden Institute for Computational Engineering and Sciences and Institute for Geophysics are part of a team developing Science Monitoring and Reliable Telecommunications (SMART) Cables, which will consist of sensors that “piggyback” on the infrastructure of the existing and expanding undersea telecommunications network. The sensors will allow for low-cost global deep ocean observation to detect temperature, pressure, and seismic acceleration.
University of Utah researchers know well how rock towers and arches shimmy, twist and sway in response to far-off earthquakes, wind and even ocean waves. Their latest research compiles a first-of-its-kind dataset to show that the dynamic properties, i.e. the frequencies at which the rocks vibrate and the ways they deform during that vibration, can be largely predicted using the same mathematics that describe how beams in built structures resonate.
While the aftermath of an undersea volcanic eruption and the following tsunami garner much attention as the waves crash around inhabited islands, an expert at West Virginia University says the combination of those hard to predict eruptions and climate change will eventually erase island nations and their cultures in the Pacific and western Indian oceans.
The Matterhorn appears as an immovable, massive mountain. A study shows that this impression is wrong. The Matterhorn is instead constantly in motion, swaying gently back and forth about once every two seconds.
A machine-learning approach developed for sparse data reliably predicts fault slip in laboratory earthquakes and could be key to predicting fault slip and potentially earthquakes in the field.
Since the tsunami that devastated coasts around the Indian Ocean in December 2004 and the Fukushima disaster in March 2011, people worldwide are aware that geological processes in the ocean can cause significant damage.
Researchers at Los Alamos National Laboratory are applying machine learning algorithms to help interpret massive amounts of ground deformation data collected with Interferometric Synthetic Aperture Radar (InSAR) satellites; the new algorithms will improve earthquake detection.
Esteban Gazel and doctoral student Kyle Dayton will join a small, elite team of international researchers on Oct. 21 at the newly erupted Cumbre Vieja volcano on the island of La Palma in the Canary Islands – off the coast of western Africa.
Multidisciplinary team of materials physicists and geophysicists combine theoretical predictions, simulations, and seismic tomography to find spin transition in the Earth’s mantle. Their findings will improve understanding of the Earth’s interior, and help elucidate the impact of this phenomenon on tectonic events including volcanic eruptions and earthquakes.
Recent research into the way cracks in the earth’s crust open and close along the San Andreas Fault has yielded a new way of studying earthquake behavior that bridges an important gap between laboratory experiments and earth observations, demonstrating a new way to study upper crustal behavior.
Scientists at Los Alamos National Laboratory have developed a method to determine the orientation of mechanical stress in the earth’s crust without relying on data from earthquakes or drilling.
Cornell professor and collaborators collect data that could provide new insight into the mechanics of crustal faults and possibly help researchers understand and anticipate future earthquake clusters.
The Codex Telleriano Remensis, created in the 16th century in Mexico, depicts earthquakes in pictograms that are the first written evidence of earthquakes in the Americas in pre-Hispanic times, according to a pair of researchers who have systematically studied the country’s historical earthquakes.
Wind power has experienced fast growth within China during the past decade, but many wind farms are being built within regions of high seismic activity. In Journal of Renewable and Sustainable Energy, researchers present their work exploring the dynamic behaviors of wind turbines subjected to combined wind-earthquake loading. The group discovered that changes in the wind increase and decrease the response amplitude of the wind turbine under weak and strong earthquakes, respectively.
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