Visualizing the ground motions of the 1906 San Francisco earthquake

Chourasia, Amit; Cutchin, Steve; Aagaard, Brad T.

doi:10.1016/j.cageo.2008.01.012

Cited by 12 publications

(7 citation statements)

References 9 publications

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“…A system with interesting interactivity is presented by Leonard et al [15], who integrate some seismological characteristics in a GIS system which allows multiple views of the relevant information -albeit, being in 2D, with a significant cognitive burden. On the other hand, the simulation of the 1906 San Francisco earthquake by Chourasia et al [16] uses a coloring scheme to reflect the intensity of shaking. Providing visual clues to the audience about the duration of shaking and a major realism to the ground motions, this is an engaging new approach to showing another kind of qualitative data.…”

Section: Related Workmentioning

confidence: 99%

Plinius: A Visualization System of Costa Rica's Tectonic Plates

Hernández-Castro¹,

Monge-Fallas²

2019

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The Volcanological and Seismological Observatory of Costa Rica (OVSICORI) has been recording and archiving seismic activity data in Costa Rica since 1984.We have designed and implemented a visualization tool, Plinius, to analyze the 3D location of 119 206 archived earthquakes occurring from 1984-2016, providing views from every desired angle and other specific needs of this scientific domain.Using Plinius, OVSICORI seismologists can visualize the convergence of different tectonic plates in Costa Rica, detect new seismic activity, and facilitate necessary data management regarding the country's geography. Most of the existing tools for this kind of task are 2D and do not have essential data filters for the domain; by contrast, Plinius enables scientists to analyze all the data in a 3D environment and to filter it in many different ways to derive better conclusions. This article describes Plinius and its potential.

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Section: Related Workmentioning

confidence: 99%

Plinius: A Visualization System of Costa Rica's Tectonic Plates

Hernández-Castro¹,

Monge-Fallas²

2019

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“…Sometimes, large 3D simulation of earthquake ground motions were overlaid on maps [11]. Another Simulation of wave propagation for the San Francisco Bay Area using a numerical finite difference method was performed by [12].…”

Section: Visualization Of Numerical Simulation Seismic Data Setsmentioning

confidence: 99%

Understanding earthquakes with advanced visualization

Hsieh

2010

SIGGRAPH Comput. Graph.

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“…Similarly, Hirahara et al [6] conducted simulations of complex fault system ruptures and used a sequence of 2D plots to reveal the spatio-temporal evolution of seismic waves. Sometimes, large 3D simulation of earthquake ground motions were overlaid on maps [4]. When the simulation results were plotted on static images, how to present the time-varying information was an issue.…”

Section: Visualization Of Simulation Seismic Datamentioning

confidence: 99%

Visualizing field-measured seismic data

Hsieh

Chen

2010

2010 IEEE Pacific Visualization Symposium (PacificVis)

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This paper presents visualization of field-measured, time-varying multidimensional earthquake accelerograph readings. Direct volume rendering is used to depict the space-time relationships of seismic readings collected from sensor stations in an intuitive way such that the progress of seismic wave propagation of an earthquake event can be directly observed. The resulting visualization reveals the sequence of seismic wave initiation, propagation, attenuation over time, and energy releasing events. We provide a case study on the magnitude scale M w 7.6 Chi-Chi earthquake in Taiwan, which is the most thoroughly recorded earthquake event ever in the history. More than 400 stations recorded this event, and the readings from this event increased global strong-motion records five folds. Each station measured east-west, north-south, and vertical component of acceleration for approximately 90 seconds. The sensor network released the initial raw data within minutes after the ChiChi mainshock. It is essential to have a visualization system for fast data exploring and analyzing, offering crucial visual analytical information for scientists to make quick judgments. Raw data requires preprocessing before it can be rendered. We generated a sequence of ground-motion wave-field maps of 350 × 200 regular grid covers the entire Taiwan island from the sensor network readings. The result is a total of 1000 ground-motion wave-field maps with 0.1 second interval, forming a 1000 × 350 × 200 volume data set. We show that visualizing the time-varying component of the data spatially uncovers the changing features hidden in the data.

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Visualizing the ground motions of the 1906 San Francisco earthquake

Cited by 12 publications

References 9 publications

Plinius: A Visualization System of Costa Rica's Tectonic Plates

Plinius: A Visualization System of Costa Rica's Tectonic Plates

Understanding earthquakes with advanced visualization

Visualizing field-measured seismic data

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