Yi-Hsuan Wu

Academia Sinica · Institute of Earth Sciences

Aftershocks, background earthquakes, and their spatiotemporal parameters have been studied for decades for the purpose of hazard assessment and forecasting. Methods for determining these parameters or seismic attributes are becoming increasingly sophisticated and varied; some optimize the results to fit observations using trial and error, while oth...

The 2010 ML 6.4 Jiashian earthquake struck southern Taiwan and caused some damage due to the strong ground shaking. Since the epicenter is located in a relatively low background seismicity area, we want to investigate seismicity rate changes associated with the Jiashian mainshock by applying the region-time-length (RTL) and pattern informatics (PI)...

We systematically investigated precursory seismic patterns using the pattern informatics (PI) method and suggest an operable procedure for making PI maps for all seasons, in the context of earthquake forecasting. We examined the PI patterns before several inland earthquakes with magnitudes larger than 6, which occurred between 2001 and 2010 in Taiw...

We examined forecasting quiescence and activation models to obtain the conditional probability that a large earthquake will occur in a specific time period on different scales in Taiwan. The basic idea of the quiescence and activation models is to use earthquakes that have magnitudes larger than the completeness magnitude to compute the expected pr...

Parameters usually play a key role in statistical forecasting models and should be carefully determined because the physics of the system links to the statistical model through the parameters. To investigate the relations between parameters and pattern informatics (PI) migration, we developed a series of retrospective analyses. The results show tha...

To reveal the preparatory processes of large inland earthquakes, we systematically applied the pattern informatics (PI) method to earthquake data of Japan. We focused on 12 large earthquakes with magnitudes greater than M = 6.4 (based on the magnitude scale of the Japan Meteorological Agency) that occurred at depths shallower than 30 km between 200...

We quantify the seismicity on the island of Taiwan using the frequency-magnitude statistics of earthquakes since 1900. A break in Gutenberg-Richter scaling for large earthquakes in global seismicity has been observed, this break is also observed in our Taiwan study. The seismic data from the Central Weather Bureau Seismic Network are in good agreem...

Anomalous seismicity patterns in epicentral and surrounding areas have been shown to occur prior to large earthquakes, although the processes determining the spatial distribution and migration patterns of such seismicity are still poorly understood. We applied the improved pattern informatics (PI) method to earthquake data maintained by the Japan M...

For revealing the preparatory processes of large inland earthquakes, we systematically applied the Pattern Informatics method (PI method) to the earthquake data of Japan. We focused on 12 large earthquakes with magnitudes larger than M = 6.4 (an official magnitude of the Japan Meteorological Agency) that occurred at depths shallower than 30 km betw...

M >= 3 earthquakes which occurred in the Taipei Metropolitan Area from 1973 through 2010 are used to study seismicity of the area. First, the epicentral distribution, depth distribution, and temporal sequences of earthquake magnitudes are described. The earthquakes can be divided into two groups: one for shallow events with focal depths ranging 0 -...

Terra Nova, 23, 369–374, 2011 Seismic precursors revealed by statistical physics methods are important for earthquake forecasting and helpful for understanding fault behaviour. One of the precursors, earthquake migration, has been observed in simulated models and rock experiments, as well as anecdotal observations for large earthquakes along major...

AbStRAct In this study, we used pattern informatics (PI) to visualize patterns in seismic migration for two large earthquakes in Taiwan. The 2D PI migration maps were constructed from the slope values of temporal variations of the distances between the sites and hotspot recognized from the PI map. We investigated the 2D PI migration pattern of the...

The pattern informatics (PI) method is a statistical method for forecasting earthquakes based on the concept of pattern dynamics. It could detect precursory seismic activation or quiescence. Here we apply the PI method with the frequency- magnitude distribution (FMD) of events, based on the self-organized spinodal (SOS) behavior, on the Chi-Chi and...

We report the retrospective analyses of frequency-magnitude distributions (FMD) and pattern informatics (PI) for the Pingtung offshore doublet earthquakes having magnitudes 6.7 and 6.4. The frequency-magnitude distributions of earthquakes that occurred in the study area preceding the Pingtung doublets demonstrate the activation of moderate events s...

1] In this paper we analyze the evolution of seismic activity using a dynamic modification of the pattern informatics method. This method identifies locations that have systematic fluctuations in seismicity on PI maps. By investigating the evolution of hotspot configurations on the PI map and calculating the distance between hotspots and the epicen...

By means of the region–time–length (RTL) algorithm, which is widely used for investigating the precursory seismicity changes in China, Italy, Japan, Russia and Turkey, we examine the precursory seismic activity occurred prior to the 1999, Mw= 7.6, Chi-Chi earthquake around its epicentre. Based on our calculation of the RTL values, the epicentral ar...