Project description
Opening a new window on natural hazard forecasting
The capability to forecast natural hazards can save lives, and it has been greatly improved by scientific and technological advances. Scientists study the seismic waves that are generated by natural phenomena such as earthquakes, volcanic eruptions and oceanic waves. The study of this seismic wavefield, which carries the imprint of material it crossed, is key to understanding how the dynamic response of the earth’s materials affects our societies. The EU-funded SPIN project will incorporate emerging sensor technology to shed light on solid earth processes, interrogate the earth’s geomechanical behaviour and forecast natural hazards. The project will train the next generation of scientists to develop new views about the dynamic behaviour of earth materials and how to observe them with the revolutionary new sensing systems at hand.
Objective
The seismic wavefield carries the imprint of material it crossed. We now understand that seismic wavefields alter the material when they pass through it and that these changes are measurable. This is important, because the dynamic response of Earth’s material directly affects our societies: geomaterial alterations are associated with many natural hazards, such as volcanic eruptions, landslides, earthquakes, and the structural health of civil structures such as bridges and buildings. Traditional seismic sensors - global and regional networks of seismometers - provide us with high temporal resolution, but sparse spatial resolution.
Right now, new sensing technologies (fiber-optic cables (DAS), large-N arrays, rotation sensors) are emerging that can give us much more detailed spatial information about how the seismic wavefield behaves. This means that we can study changes in local material properties, and investigate complex behavior of materials as they deform under small strain. These sensing technologies are reaching a level of maturity where they can be incorporated into common seismological observation practice.
For this new era of seismological instrumentation and observation fundamentally new skills need to be developed. In SPIN, we will train the next generation of scientists to develop novel views about the dynamic behaviour of Earth materials, and in particular how to observe them with the revolutionary new sensing systems at hand. It is currently enigmatic how to combine these sensor types to optimize resolution power. This research and training will impact the way we understand solid Earth processes, how we interrogate the Earth’s geomechanical behavior, and the way we forecast natural hazards.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. This project's classification has been validated by the project's team.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. This project's classification has been validated by the project's team.
Programme(s)
Coordinator
20148 Hamburg
Germany