A Method for Creating Real-Time Earthquake Hazard Map in Korean Peninsula

2017 ◽  
Vol 18 (1) ◽  
pp. 193-198
Author(s):  
Hyeju Oh ◽  
◽  
Jieun Im ◽  
Yelim Lee ◽  
Sanghoo Yoon ◽  
...  
Keyword(s):  
Real Time ◽  
Korean Peninsula ◽  
Earthquake Hazard ◽  
Hazard Map

scholarly journals Real time earthquake hazard map of liquefaction in Korea

2016 ◽  
Vol 2 (20) ◽  
pp. 761-766
Author(s):  
Jae-Soon Choi ◽  
Woo-Hyun Baek ◽  
Oh-Gyu Kwon
Keyword(s):  
Real Time ◽  
Earthquake Hazard ◽  
Hazard Map

Near-Real-Time Seismic Monitoring for Pipelines

2018 ◽  
Author(s):  
Martin Zaleski ◽  
Gerald Ferris ◽  
Alex Baumgard
Keyword(s):  
Real Time ◽  
Oil And Gas ◽  
Earthquake Hazard ◽  
Lateral Spreading ◽  
Soil Liquefaction ◽  
Gas Pipelines ◽  
Hazard Management ◽  
Earthquake Probability ◽  
Oil And Gas Pipelines ◽  
Map Data

Earthquake hazard management for oil and gas pipelines should include both preparedness and response. The typical approach for management of seismic hazards for pipelines is to determine where large ground motions are frequently expected, and apply mitigation to those pipeline segments. The approach presented in this paper supplements the typical approach but focuses on what to do, and where to do it, just after an earthquake happens. In other words, we ask and answer: “Is the earthquake we just had important?”, “What pipeline is and what sites might it be important for?”, and “What should we do?” In general, modern, high-pressure oil and gas pipelines resist the direct effects of strong shaking, but are vulnerable to large co-seismic differential permanent ground displacement (PGD) produced by surface fault rupture, landslides, soil liquefaction, or lateral spreading. The approach used in this paper employs empirical relationships between earthquake magnitude, distance, and the occurrence of PGD, derived from co-seismic PGD case-history data, to prioritize affected pipeline segments for detailed site-specific hazard assessments, pre-event resiliency upgrades, and post-event response. To help pipeline operators prepare for earthquakes, pipeline networks are mapped with respect to earthquake probability and co-seismic PGD susceptibility. Geological and terrain analyses identify pipeline segments that cross PGD-susceptible ground. Probabilistic seismic models and deterministic scenarios are considered in estimating the frequency of sufficiently large and close causative earthquakes. Pipeline segments are prioritized where strong earthquakes are frequent and ground is susceptible to co-seismic PGD. These may be short-listed for mitigation that either reduces the pipeline’s vulnerability to damage or limits failure consequences. When an earthquake occurs, pipeline segments with credible PGD potential are highlighted within minutes of an earthquake’s occurrence. These assessments occur in near-real-time as part of an online geohazard management database. The system collects magnitude and location data from online earthquake data feeds and intersects them against pipeline network and terrain hazard map data. Pipeline operators can quickly mobilize inspection and response resources to a focused area of concern.

Real-time seismology and earthquake hazard mitigation

Nature ◽  
10.1038/37280 ◽  
1997 ◽  
Vol 390 (6659) ◽  
pp. 461-464 ◽  
Author(s):  
Hiroo Kanamori ◽  
Egill Hauksson ◽  
Thomas Heaton
Keyword(s):  
Real Time ◽  
Hazard Mitigation ◽  
Earthquake Hazard

ENHANCEMENT OF INTEGRATED EARTHQUAKE SIMULATION WITH HIGH-PERFORMANCE COMPUTING

2011 ◽  
Vol 05 (03) ◽  
pp. 271-282 ◽  
Author(s):  
M. HORI ◽  
G. SOBHANINEJAD ◽  
T. ICHIMURA ◽  
M. LALITH
Keyword(s):  
High Performance Computing ◽  
Urban Areas ◽  
Numerical Experiments ◽  
High Performance ◽  
Earthquake Hazard ◽  
Hazard Map ◽  
Earthquake Simulation ◽  
Earthquake Damages ◽  
Performance Computing ◽  
Integrated Earthquake Simulation

Integrated earthquake simulation (IES) is a system to estimate possible earthquake hazard and disaster which can take place in an urban area by means of seamless numerical computation. High-performance computing (HPC) is enhanced so that IES is able to simulate a larger area in a shorter time, by improving the system architecture and adding new elements which smoothens the system's efficiency. It is shown in numerical experiments (which are carried out for actual urban areas) that the performance of IES enhanced with HPC is satisfactory. A new system is developed to generate a hazard map which depicts earthquake damages in higher spatial resolution by taking advantage of IES enhanced with HPC. It is shown that such maps can be generated for Tokyo metropolis in half a day.

Real-time earthquake hazard assessment based on high-rate GNSS PPPAR

2020 ◽  
Author(s):  
Yang Jiang ◽  
Yang Gao ◽  
Michael Sideris
Keyword(s):  
Real Time ◽  
Hazard Assessment ◽  
Seismic Waves ◽  
Seismic Hazard Assessment ◽  
Earthquake Hazard ◽  
High Rate ◽  
Peak Ground Velocity ◽  
International Gnss Service ◽  
Time Service ◽  
Earthquake Hazard Assessment

<p>To provide hazard assessment in rapid or real-time mode, accelerations due to seismic waves have traditionally been recorded by seismometers. Another approach, based on the Global Navigation Satellite System (GNSS), known as GNSS seismology, has become increasingly accurate and reliable. In the past decade, significant improvements have been made in high-rate GNSS using precise point positioning and its ambiguity resolution (PPPAR). To reach cm-level accuracy, however, PPPAR requires specific products, including satellite orbit/clock corrections and phase/code biases generated by large GNSS networks. Therefore, the use of PPPAR in real-time seismology applications has been inhibited by the limitations in product accessibility, latency, and accuracy. To minimize the implementation barrier for ordinary global users, the Centre National D’Etudes Spatiales (CNES) in France has launched a public PPPAR correction service via real-time internet streams. Broadcasting via the real-time service (RTS) of the international GNSS service (IGS), the correction stream is freely provided. Therefore, in our work, a new approach using PPPAR assisted with the CNES product to process high-rate in-field GNSS measurements is proposed for real-time earthquake hazard assessment. A case study is presented for the Ridgecrest, California earthquake sequence in 2019. The general performance of our approach is evaluated by assessing the quality of the resulting waveforms against publicly available post-processing GNSS results from a previous study by Melgar et al. (2019), Seismol. Res. Lett. XX, 1–9, doi: 10.1785/ 0220190223. Even though the derived real-time displacements are noisy due to the accuracy limitation of the CNES product, the results show a cm-level agreement with the provided post-processed control values in terms of root-mean-square (RMS) values in time and frequency domain, as well as seismic features of peak-ground-displacement (PGD) and peak-ground-velocity (PGV). Overall, we have shown that high-rate GNSS processing based on PPPAR via a freely accessible service like CNES is a reliable approach that can be utilized for real-time seismic hazard assessment.</p>

Computational Challenges in Real-Time Hybrid Simulation of Tall Buildings under Multiple Natural Hazards

2018 ◽  
Vol 763 ◽  
pp. 566-575 ◽  
Author(s):  
Chinmoy Kolay ◽  
James M. Ricles ◽  
Thomas M. Marullo ◽  
Safwan Al-Subaihawi ◽  
Spencer E. Quiel
Keyword(s):  
Real Time ◽  
Natural Hazards ◽  
Hybrid Simulation ◽  
Tall Buildings ◽  
Earthquake Hazard ◽  
Performance Based Design ◽  
The Real ◽  
Large Systems ◽  
Wind Events ◽  
Energy Dissipation Devices

The essence of real-time hybrid simulation (RTHS) is its ability to combine the benefits ofphysical testing with those of computational simulations. Therefore, an understanding of the real-timecomputational issues and challenges is important, especially for RTHS of large systems, in advancingthe state of the art. To this end, RTHS of a 40-story (plus 4 basement stories) tall building havingnonlinear energy dissipation devices for mitigation of multiple natural hazards, including earthquakeand wind events, were conducted at the NHERI Lehigh Experimental Facility. An efficient implementationprocedure of the recently proposed explicit modified KR-a (MKR-a) method was developedfor performing the RTHS. This paper discusses this implementation procedure and the real-time computationalissues and challenges with regard to this implementation procedure. Some results from theRTHS involving earthquake loading are presented to highlight the need for and application of RTHSin performance based design of tall buildings under earthquake hazard.

Frameworks for real-time update type hazard map delivery

2012 ◽  
Author(s):  
Keiji Shibata ◽  
Soshi Urakami ◽  
Tatsuya Furukane ◽  
Koji Okino ◽  
Yuukou Horita
Keyword(s):  
Real Time ◽  
Hazard Map ◽  
Time Update
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