Simulation of Tsaoling landslide, Taiwan, based on Saint Venant equations over general topography

Kuo, Chih‐Yu; Tai, Yih-Chin; Bouchut, François; Mangeney, Anne; Pelanti, Marica; Chen, R.F.; Chang, Kuo-Jen

doi:10.1016/j.enggeo.2008.10.003

Cited by 79 publications

(67 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Such an inference based on the magnetic survey is supported by a very recent simulation of the Siaolin landslide by Kuo et al (2010). The magnetic observations in this study thus provide a relevant constraint for further numerical simulation (e.g., Crosta et al, 2004;Kuo et al, 2009) of the flow pattern of the Siaolin landslide event (Kuo et al, 2010). Understanding and modeling the flow pattern is of considerable importance to identify potential hazardous sites to protect buildings, structures and people from avalanches, debris flows and rockfalls in the future.…”

Section: Discussion and Concluding Remarkssupporting

confidence: 68%

Magnetic signature of Siaolin Village, southern Taiwan, after burial by a catastrophic landslide due to Typhoon Morakot

Doo

Hsu

Chen

et al. 2011

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Typhoon Morakot caused terrible flooding and torrential rains that severely damaged southern Taiwan. Swollen rivers wiped out roads and demolished buildings. Long-lasting and intense rainfall triggered landslides in many regions in southern Taiwan, including the landslide that buried Siaolin Village in Kaohsiung County and killed approximately 500 people. Locating buried buildings immediately after a landslide could be an emergent issue in life saving and hazard mitigation. Analyzing the magnetic signature of a buried area is an efficient and non-destructive way to detect subsurface buildings. This paper presents the results of a magnetic survey for the purpose of outlining subsurface images of Siaolin Village after the catastrophic landslide induced by Typhoon Morakot in 2009. We found that a high-resolution magnetic survey can reveal suspected building positions that match the initial locations of buildings in Siaolin Village. The estimated depths of the buried buildings are 5-10 m deep. The magnetic data further suggest a possible debris-flow direction of NE to SW because the northern part of the village was mostly destroyed, while buildings in the southern part of the village remained in place.

show abstract

Section: Discussion and Concluding Remarkssupporting

confidence: 68%

Magnetic signature of Siaolin Village, southern Taiwan, after burial by a catastrophic landslide due to Typhoon Morakot

Doo

Hsu

Chen

et al. 2011

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…Inspecting extensive practical landslide data and discrete element simulations, the friction coefficient is found to follow a simple geometrical relation, the universal scaling law, which is inversely proportional to the one-third power of the landslide volume (Staron and Lajeunesse, 2009). Based on the friction angle 6 o found in the Tsaoling landslide with a volume 0.126 km 3 (Kuo et al, 2009), we estimate the friction angle for the Siaolin landslide (about 1/6 in volume) is about 11 o according to the geometrical scaling relation. This value is well constrained in the range suggested by the aforementioned frictional tests (assuming the friction coefficients asymptote to constant values).…”

Section: Simulation Of Siaolin Landslidementioning

confidence: 98%

“…The sole rheological parameter, the friction coefficient, is assumed to be a constant. Though with such simplifications, this type of models has been successively validated to be able to reproduce experimental and natural granular flows (Gray et al 2003;Kuo et al 2009). In addition to be constrained by the frictional experimental results, the Coulomb friction coefficient in the simulation is further referenced to a universal scaling law (Staron and Lajeunesse, 2009) and reconfirmed by an iterative optimization scheme.…”

Section: Simulation Of Siaolin Landslidementioning

confidence: 99%

“…Contrary to the fairly precise rupturing simulation of earthquakes, the complex mass movement of landslides/debris-flows is rarely reconstructed by numerical modeling (e.g. Kuo et al, 2009;Crosta et al, 2004;Lin et al, 2005). A quantitative description of the mass movement process of a landslide is thus a challenging task compared to the well-developed techniques associated with earthquake rupturing simulations.…”

Section: Concluding Remarkmentioning

confidence: 99%

See 1 more Smart Citation

Reconstruction of the Kinematics of Landslide and Debris Flow Through Numerical Modeling Supported by Multidisciplinary Data: The 2009 Siaolin, Taiwan Landslide

Chen¹,

Dong²,

Kuo³

et al. 2011

Sediment Transport - Flow and Morphological Processes

View full text Add to dashboard Cite

“…Indeed, most of the models used to simulate real avalanches do not take into account the presence of a fluid component (e.g. [2][3][4]). The fluid however is expected to play a key role in the mobility of natural flows and in the structure of their deposits [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

A Riemann solver for single-phase and two-phase shallow flow models based on relaxation. Relations with Roe and VFRoe solvers

Pelanti

Bouchut

Mangeney

2011

Journal of Computational Physics

View full text Add to dashboard Cite

a b s t r a c tWe present a Riemann solver derived by a relaxation technique for classical single-phase shallow flow equations and for a two-phase shallow flow model describing a mixture of solid granular material and fluid. Our primary interest is the numerical approximation of this two-phase solid/fluid model, whose complexity poses numerical difficulties that cannot be efficiently addressed by existing solvers. In particular, we are concerned with ensuring a robust treatment of dry bed states. The relaxation system used by the proposed solver is formulated by introducing auxiliary variables that replace the momenta in the spatial gradients of the original model systems. The resulting relaxation solver is related to Roe solver in that its Riemann solution for the flow height and relaxation variables is formally computed as Roe's Riemann solution. The relaxation solver has the advantage of a certain degree of freedom in the specification of the wave structure through the choice of the relaxation parameters. This flexibility can be exploited to handle robustly vacuum states, which is a well known difficulty of standard Roe's method, while maintaining Roe's low diffusivity. For the single-phase model positivity of flow height is rigorously preserved. For the two-phase model positivity of volume fractions in general is not ensured, and a suitable restriction on the CFL number might be needed. Nonetheless, numerical experiments suggest that the proposed two-phase flow solver efficiently models wet/dry fronts and vacuum formation for a large range of flow conditions.As a corollary of our study, we show that for single-phase shallow flow equations the relaxation solver is formally equivalent to the VFRoe solver with conservative variables of Gallouët and Masella [T. Gallouët, J.-M. Masella, Un schéma de Godunov approché C.R. Acad. Sci. Paris, Série I, 323 (1996) 77-84]. The relaxation interpretation allows establishing positivity conditions for this VFRoe method.

show abstract

Simulation of Tsaoling landslide, Taiwan, based on Saint Venant equations over general topography

Cited by 79 publications

References 30 publications

Magnetic signature of Siaolin Village, southern Taiwan, after burial by a catastrophic landslide due to Typhoon Morakot

Magnetic signature of Siaolin Village, southern Taiwan, after burial by a catastrophic landslide due to Typhoon Morakot

Reconstruction of the Kinematics of Landslide and Debris Flow Through Numerical Modeling Supported by Multidisciplinary Data: The 2009 Siaolin, Taiwan Landslide

A Riemann solver for single-phase and two-phase shallow flow models based on relaxation. Relations with Roe and VFRoe solvers

Contact Info

Product

Resources

About