scholarly journals District of North Vancouver, British Columbia, earthquake hazard assessment, case study: risk assessment project

2013 ◽  
Author(s):  
J A Prieto ◽  
C E Ventura ◽  
W D L Finn
2005 ◽  
Vol 3 (3) ◽  
pp. 355-381 ◽  
Author(s):  
Y. Zaslavsky ◽  
A. Shapira ◽  
M. Gorstein ◽  
M. Kalmanovich ◽  
V. Giller ◽  
...  

2019 ◽  
Vol 93 (5) ◽  
pp. 515-522 ◽  
Author(s):  
N. Sundararajan ◽  
Issa El-Hussain ◽  
Adel M. E. Mohamed ◽  
Ahmed Deif ◽  
Sheref El-Hady ◽  
...  

2000 ◽  
Vol 157 (11) ◽  
pp. 2323-2349 ◽  
Author(s):  
V.G. Kossobokov ◽  
V.I. Keilis-Borok ◽  
D.L. Turcotte ◽  
B.D. Malamud

2020 ◽  
Author(s):  
Yang Jiang ◽  
Yang Gao ◽  
Michael Sideris

<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>


2010 ◽  
Vol 40 (11) ◽  
pp. 2104-2114 ◽  
Author(s):  
Matthew Tutsch ◽  
Wolfgang Haider ◽  
Ben Beardmore ◽  
Kenneth Lertzman ◽  
Andrew B. Cooper ◽  
...  

Wildfire risk assessment research has made considerable progress towards estimating the probability of wildfires but comparatively little progress towards estimating the expected consequences of potential fires. One challenge with estimating wildfire consequences has been to identify a common metric that can be applied to consequences measured in different units. In this paper, we use the preferences of representatives of local fire management agencies as the common consequences metric and apply it to a case study in the southern Gulf Islands, British Columbia, Canada. The method uses an expert survey and a maximum-difference conjoint analysis to establish the relative importance of specific fire consequences. A fire with a major potential for loss of life was considered to be about three times worse than major damage to houses and 4.5 times worse than loss of a rare species. Risk ratings were very sensitive to changes in fire consequences ratings. As the complexity of values at risk and number of stakeholders increase, the most efficient allocation of wildfire prevention, protection, and suppression resources becomes increasingly challenging to determine. Thus, as the complexity of stakeholder representation and values at risk increases, we need to pay increasing attention to quantitative methods for measuring wildfire consequences.


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