Landslide Tsunami: Physical Modeling for the Implementation of Tsunami Early Warning Systems in the Mediterranean Sea

Girolamo, Paolo De; Risio, Marcello Di; Romano, Alessandro; Molfetta, Matteo Gianluca

doi:10.1016/j.proeng.2014.02.048

Cited by 21 publications

(9 citation statements)

References 38 publications

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“…Coastal areas are highly dynamic environments that provide important benefits, but are also subject to a variety of natural hazards such as beach erosion, tsunamis [1,2], and floods [3]. For coastal zone monitoring and coastal risk assessment [4], shoreline detection is a fundamental work.…”

Section: Introductionmentioning

confidence: 99%

Statistical Deviations in Shoreline Detection Obtained with Direct and Remote Observations

Pugliano

Robustelli

Luccio

et al. 2019

JMSE

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Remote video imagery is widely used for shoreline detection, which plays a fundamental role in geomorphological studies and in risk assessment, but, up to now, few measurements of accuracy have been undertaken. In this paper, the comparison of video-based and GPS-derived shoreline measurements was performed on a sandy micro-tidal beach located in Italy (central Tyrrhenian Sea). The GPS survey was performed using a single frequency, code, and carrier phase receiver as a rover. Raw measurements have been post-processed by using a carrier-based positioning algorithm. The comparison between video camera and DGPS coastline has been carried out on the whole beach, measuring the error as the deviation from the DGPS line computed along the normal to the DGPS itself. The deviations between the two dataset were examined in order to establish possible spatial dependence on video camera point of view and on beach slope in the intertidal zone. The results revealed that, generally, the error increased with the distance from the acquisition system and with the wash up length (inversely proportional to the beach slope).

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Section: Introductionmentioning

confidence: 99%

Statistical Deviations in Shoreline Detection Obtained with Direct and Remote Observations

Pugliano

Robustelli

Luccio

et al. 2019

JMSE

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“…The formation, propagation, and run-up of landslide-induced impulse waves have been studied through physical experiments [7][8][9], scale model physical experiments [10], and numerical simulation [11]. Based on these studies, there are new physical model experiments to research on the run-up and formation of landslide-induced tsunamis [12,13], to be carried out in a large wave tank by varying the initial acceleration [14] in order to improve the knowledge on the involved phenomena and optimize the detection algorithm [15]. However, while a lot of scaled model experiments have been 2 of 17 designed in water, there is little research on the interaction between landslide-induced tsunamis and hydraulic structures.…”

Section: Introductionmentioning

confidence: 99%

Model Test Research on the Propagation of Tsunamis and Their Interaction with Navigating Ships

2019

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The slope of a reservoir area is unstable and can be destroyed by natural disasters, such as strong earthquakes and rainstorms. Landslide bodies that enter the water and generate landslide surges pose serious safety risks to terminals, ships, and hydraulic structures in a reservoir area. After analyzing landslide data in a reservoir area, a series of comparative tests was carried out to investigate the propagation characteristics of landslide-induced tsunamis in channel reservoirs, and the changes in water level values at various monitoring points in the river channel after the landslides entered the water were explored. The effects of landslide width and thickness on the characteristics of landslide-induced tsunamis were analyzed. The main target was a fixed-velocity ship in landslide-swelling water. The complex nonlinear motion characteristics of the ship on the water were studied to determine the safe navigation range.

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“…Tsunami events such as the one occurred in Japan in 2011 in Tohoku [1] and the ones in Indonesia in 2004 and 2018 [2] resulted in catastrophic consequences on coastal communities and structures causing many casualties. Studies in the literature often focused on the impact of tsunamis on the coastal region [3][4][5][6][7]. However, recent research investigated the effects that debris transported by such tsunamis can have on existing structures, especially after the damage documented during the 2011 Tohoku tsunami.…”

Section: Introductionmentioning

confidence: 99%

Numerical Modelling of Flow-Debris Interaction during Extreme Hydrodynamic Events with DualSPHysics-CHRONO

et al. 2021

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Floods can transport debris of a very wide range of dimensions, from cohesive sediments to large floating debris, such as trees and cars. The latter increases the risk associated with floods by, for example, obstructing the flow or damaging structures due to impact. The transport of this type of debris and their interaction with structures are often studied experimentally in the context of tsunamis and flash floods. Numerical studies on this problem are rare, therefore the present study focuses on the numerical modelling of the flow-debris interaction. This is achieved by simulating multiple laboratory experiments, available in the literature, of a single buoyant container transported by a dam-break flow in order to validate the chosen numerical approach. The numerical simulations are carried using the open source DualSPHysics model based on the smoothed particle hydrodynamics method coupled with the multi-physics engine CHRONO, which handles the container–bottom interactions. The trajectory, as well as the velocity of the centroid of the container, were tracked throughout the simulation and compared with the same quantities measured in the laboratory. The agreement between the model and the experiment results is quantitatively assessed using the normalised root mean squared error and it is shown that the model is accurate in reproducing the floating container trajectory and velocity.

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Landslide Tsunami: Physical Modeling for the Implementation of Tsunami Early Warning Systems in the Mediterranean Sea

Cited by 21 publications

References 38 publications

Statistical Deviations in Shoreline Detection Obtained with Direct and Remote Observations

Statistical Deviations in Shoreline Detection Obtained with Direct and Remote Observations

Model Test Research on the Propagation of Tsunamis and Their Interaction with Navigating Ships

Numerical Modelling of Flow-Debris Interaction during Extreme Hydrodynamic Events with DualSPHysics-CHRONO

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