Coastal areas are some of the most developed or developing environments across the globe. These regions contain significant accumulations of exposure and are vulnerable to substantial flood hazard. A comprehensive understanding of those exposures, and the complex hazards that can impact them, is imperative to better manage your flood business.
In this webinar, RMS' Dr. Robert Muir-Wood and Juergen Grieser take an in-depth look at coastal flood risk.
21. 21
Hong Kong
MW9 TSUNAMI FROM THE SOUTHERN LUZON ARC SUBDUCTION
ZONE – SOUTHERN CHINA & HONG KONG
0.1 - 1.5 m
1.5 - 3.0 m
3.0 - 4.5 m
4.5 - 6.0 m
Industries
Tsunami height
Source: Esri, DigitalGlobe,DeoEye, I-cubed, Earthstar Geographic, CNES/Airbus DS, USDA, USGS, AEX, Getmapping, Aerogrid, IGN, OISP, swisstopo, and the GIS User Community
So here you can see a schematic of the Manila Arc as we’ve modeled it.
The Manila Arc is formed by the subduction of the Eurasian Plate under the Philippine Island Arc.
The trench stretches about 900km from southern Taiwan southward to the west coast of Luzon, the largest island of the Philippines and bends a little bit westward, and this is because of the slow westward migration of Luzon over the subducting ocean slab while both ends of the trench are pinned.
[Image]
It is worthwhile to note that the Manila Trench has not produced a major earthquake for five centuries, at least since the Spanish colonization of Luzon in the mid 1500’s. That means no earthquake greater than 7.8 has been observed on this source – so we can infer that a megathrust event, with some level of confidence, would have a recurrence interval of 500 years or longer. And our calculations put such an event to about 700-1000yrs.
According to available geodetic data, the relative motion (convergence rate) across the South China Sea megathrust is somewhere between 5.5cm/yr to 9 cm/yr, with the north of the Manila arc moving at the higher rate, and the south moving at the lower rate.
If we do a quick calculation of the strain accumulated over these last 400-500 years, given what we know about the convergence rate of this subduction zone, and the approximate coupling that goes on in this region, we’re looking at strain that comes close to 18m, which if released co-seismically, is similar in scale to the 2010 Maule Chile Event.
And there are some researchers out there that put the coupling at even higher rate and the resulting strain closer to 40m, which, if released co-seismically would be similar to the 1960 M9.5 Chile event. That event was catastrophic in the near-field and had major far-field impact in New Zealand, Indonesia, the Philippines and other places across the pacific ocean.
So there are different ways of interpreting what could potentially happen at this particular source. In this solution that I’ll show you in a little while, we model about 15m of maximum slip at this source here.
Now before we look at more detail of how we are modeling the Manila Arc, it may be worthwhile to put it all into context and look at some of the exposures that could be impacted by this event. <click>
Identify Sources
Eleven historical tsunami events (of local or global significance) were considering in developing this model
Two recent earthquakes exceeded the maximum magnitude expected for their respective subduction zones: the 2004 Indian Ocean event on the Sumatra-Andaman subduction zone and the 2011 Tohoku event on the Japan Trench. To account for these types of unanticipated tail events, the seismic hazard community has started to consider the possibility of great earthquakes on various subduction zones.
RMS modeled M9 events on various subduction zones around the world where such great earthquakes have not necessarily occurred in the historical past.
Source Characterization
The tsunami source event characterization model represents an earthquake as a rupture that slips during an earthquake, releasing seismic energy. The model defines the rupture characteristics based on the magnitude of the event and an assumed slip distribution pattern.
Event Generation
RMS models the seafloor deformation based on the event rupture model. The bathymetry and topography are adjusted to account for any uplifting or subsidence that would occur as a result of seafloor deformation.
RMS generates initial wave conditions in the near-field from the seafloor deformation.
Ocean Wave Propagation
After the initial seafloor deformation and subsequent water displacement, RMS models the ocean wave propagation. RMS developed a numerical solver, implemented on Graphic Processing Units (GPUs), which uses a finite volume approach to approximate 2D shallow water wave equations over both the ocean and complex topography.
In the near-field, inundation is sensitive to initial seafloor deformation, while in the far- field, inundation is more sensitive to magnitude and location of rupture
Coastal Inundation
As the wave enters shallow water and approaches the coast, RMS models the movement of water along the wet/dry interface using the RMS GPU-based solver, considering variable land friction.
RMS has been performing unique high resolution tsunami modeling from credible earthquake related deformation along the key subduction zone plate boundaries round the world. Including those with the potential to affect Japan. Here we show the height of the tsunami in one of our simulations, for the region around Hong Kong, along with a representation of the concentrations of industrial facilities in Hong Kong along with some of the induatrial parks in the mainland region. We will be releasing these detailed tsunami footprints for managing accumulations along with detailed industrial park data for China.