Seismic tomography, also known as seismic imaging technology, uses seismic waves to detect the Earth's underground structure. When seismic waves pass through materials of different density or composition, their characteristics change. By comparing changes in seismic waves recorded at different locations, scientists are able to build a model of the underground structure. The application of this technology is not limited to understanding the basic structure of the earth, but also makes important contributions to volcanic activity and earthquakes.
The speed and path of seismic waves are affected by underground materials, and these effects make earthquake tomography an important geological exploration tool.
There are several main types of seismic waves, including P waves, S waves, Rayleigh waves and Love waves. Different types of waves have specific functions and limitations. Depending on the differences in geological environment and the source of the earthquake, researchers will choose appropriate waves for imaging. The most common models are velocity models, in which features of the subsurface are interpreted as changes in structure, thermal, or composition.
One of the main methods used in earthquake tomography is the inverse problem. During this process, the seismic data are compared with a preliminary model of the Earth, which is continually adjusted until its predictions best match the actual observed data.
The process of earthquake tomography involves complex data analysis and must take into account the reflection and refraction properties of seismic waves.
These models allow seismologists to get a clearer view of the subsurface structure and reveal information such as the temperature and chemical composition of each layer. This type of technology is similar to CT scans in the medical field, but seismic tomography faces complex curved ray paths rather than simple straight paths.
The history of seismology dates back to the early 20th century, when scientists first used changes in the travel time of seismic waves to discover the various structures of the Earth's crust. However, the real development of modern earthquake tomography began in the 1970s, especially in the context of the expansion of the global seismic network.
As computing technology improves, scientists can solve increasingly complex inverse problems and generate more accurate earthquake models.
Research during this period not only demonstrated the importance of seismic networks, but also showed how multiple data sets could be combined to produce improved model calculations. Further advances, such as "full waveform imaging," are allowing scientists to more fully understand the complexity of seismic waves.
From earthquake records, seismic tomography can create 2D and 3D models. This process also involves the concept of the inverse problem, which is to minimize the difference between the model and the observed data. Depending on the region and data source, researchers can use it to interpret the location of anomalies in the crust, lithosphere, and mantle.
For example, in seismically active areas, local earthquake tomography can reveal the kinematic characteristics of the crust and upper mantle.
Seismic tomography has a wide range of applications, including monitoring volcanic activity, assessing earthquake risk, and improving land-use planning. In volcano research, seismic imaging can help scientists estimate the location and amount of magma underground, both of which are important elements in maintaining public safety.
Different local and global earthquake models can explain structural features at many different scales, changes in which can be related to thermal convection, chemical changes, etc. For example, earthquake tomography can resolve details of plates entering the mantle, which provides key information for understanding the nature of earthquake and volcanic activity.
Although earthquake tomography has made significant progress, it still faces several challenges. For example, the global seismic network is mainly concentrated on land and active seismic areas, while data collection and analysis in other areas are still very insufficient. In addition, how different waveforms affect the resolution of the model remains a hot research topic.
Ultimately, further improvements in imaging technology will allow scientists to better assess and predict the risk of earthquakes, volcanic eruptions and other natural disasters.
Future exploration will focus on combining multiple data sources and improving data processing techniques to support more detailed imaging of subsurface structures. These studies will not only deepen our understanding of the dynamics of the Earth's interior, but also provide new ideas for predicting the possibility of earthquakes and volcanic activity. How do you think earthquake tomography will further change the way we understand the Earth in the future?