Numerical simulation of sedimentation and erosion caused by the 2011 Tohoku Tsunami in Oarai Port, Japan

Kuriyama, Yoshiaki; Chida, Yu; Uno, Yoshiyuki; Honda, Katsuhiro

doi:10.1016/j.margeo.2020.106225

Cited by 9 publications

(5 citation statements)

References 29 publications

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“…Thus, it causes casualties and damage infrastructure, such as commercial, residential buildings, ports, and industrial areas of the coastal zone. Erosion also causes tidal bathymetry changes due to sedimentary and erosion deposition (Kuriyama et al, 2020). (Teresa et al, 2020) categorizes the effect of the tsunami into direct and indirect effects.…”

Section: Discussion a Tsunamimentioning

confidence: 99%

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Potential Multi-Disaster Based on Landform Characteristic in Parangtritis Area

Sukri

2020

Geographica: Science and Education Journal

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The assessment of potential disasters is a critical sectoral problem. Because hazard can damage and harm to people. The purpose of this research is to identify potential disasters in Parangtritis area. The identification based on the appraisal variables on some of the multi-hazards that may arise and threaten in this area based on the characteristics of the landform such as gisik, fluvio-marin plain, hills, alluvial plains, and others. This study includes exploratory and evaluation research with a qualitative approach. The results showed some potentially catastrophic hazards in the Parangtritis area, including tsunamis, abrasion, landslides, and floods. Each potential risk has a different level of insecurity and location distribution.

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Section: Discussion a Tsunamimentioning

confidence: 99%

“…The hazard that occurs in the coastal regions of Bantul in Yogyakarta is the change of coastline that is influenced by abrasion (Saputro, 2017). Abrasion worsens the beaches' ability to prevent or reduce disasters by eliminating wave energy because abrasion threatens breakwaters' stability (Kuriyama et al, 2020).…”

Section: B Abrasionmentioning

confidence: 99%

Potential Multi-Disaster Based on Landform Characteristic in Parangtritis Area

Sukri

2020

Geographica: Science and Education Journal

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“…Data on sediment include sediment loads and river bed gradation (sediment rating curve) [23]. Each cross-section should have a gradation curve in the separate bed because the size of the sediment particle has a signi cant impact on erosion and sedimentation processes (Fig.…”

Section: Sediment Datamentioning

confidence: 99%

Sedimentation Analysis of Kabul River by Using Hec-ras

Raji

Turabi

Nasimi

2023

Preprint

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Rivers are the main and easily available source of water for various uses, and one of the main aims of river engineering is to control sedimentation and erosion. Due to strategic and environmental circumstances, the Kabul River is a well-known river in Afghanistan that attracts much interest for its water project design, existing reservoirs, and water supply to towns and industrial units. The Kabul river carries and delivers the highest sediment loads among the rivers of Afghanistan, and river sedimentation is a serious problem in Kabul city. The HEC-RAS (Hydrologic Engineering Centre River Analysis System) model is used to evaluate the hydrological parameters and sedimentation processes for variations in transverse and longitudinal profile, velocity and shear stress fluctuation, mass change, bed level change, total sediment, erosion, and deposition problems in a 40-KM section of the Kabul River in Kabul Province, from Pul-i-Surkh station of Maidan Province to Tangi-Gharo station of Kabul City. Some branch rivers and streams have joined from two sides along this river, which increases the sediment. More sedimentation is caused by population growth, nonstandard construction around the river, and the desire for a sanitation system in Kabul City. And also, having a low and variable slope in the middle length of this river causes more sediment problems. The study period for this research was from January 2016 to June 2020. A useful pattern of the conditions in Kabul City and the impacts of sediment transport, erosion, and sedimentation processes can be the output of this study.

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“…(2011) determined severely impaired stability of coastal infrastructures due to strong localized scouring and sediment rearrangement. Additionally, remarkable bathymetric changes caused by tsunamis were observed in several nearshore areas (e.g., Kirinda Harbor, Sri Lanka (Goto, Takahashi, et al., 2011)) and numerically simulated (Kuriyama et al., 2020), suggesting substantial sediment remobilization by tsunami waves in the shallow water.…”

Section: Introductionmentioning

confidence: 99%

Shallow‐Water Tsunami Deposits: Evidence From Sediment Cores and Numerical Wave Propagation of the 1601 CE Lake Lucerne Event

Nigg

Bacigaluppi

Vetsch

et al. 2021

Geochem Geophys Geosyst

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The 1601 CE earthquake (Mw ca. 5.9) in “Unterwalden,” Central Switzerland, triggered multiple subaqueous mass movements and a subaerial rockfall that generated tsunami waves with run‐up heights of up to 4 m and several hundred meters of inundation along the coastal lowlands of Lake Lucerne. In the shallow Lucerne Bay, historical chronicles reported an oscillation of the water with an initial amplitude of ∼1–2 m and a period of 10 min, which continued for several days after the event with decreasing amplitude. Here, we investigate the lake‐tsunami process chain from subaqueous mass movement‐generated tsunami to wave propagation and ultimately to sediment resuspension, transport, and deposition in the shallow‐water environment. The effects of the historical tsunami on Lucerne Bay are reconstructed using sediment‐core analysis and numerical simulation of wave propagation. A 60‐cm‐thick event deposit was recovered along a sediment‐core transect in the shallow waters and radiocarbon dated to 1306–1442 cal CE. The event deposit has a sharp basal contact with carbonate shell fragments followed upwards a normally graded succession of siliciclastic sand to silt with a high proportion of horizontally bedded wooden particles. The numerically simulated tsunami waves are characterized by a water‐surface displacement of up to 1.5 m and generate bed shear‐stresses that are likely capable of remobilizing large amounts of sediments in the Lucerne Bay area. Our study successfully links the sedimentology of event deposits with physical principles of sediment mobilization derived from numerical wave‐forward modeling, providing a tool to improve the identification and interpretation of potential tsunami deposits.

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Numerical simulation of sedimentation and erosion caused by the 2011 Tohoku Tsunami in Oarai Port, Japan

Cited by 9 publications

References 29 publications

Potential Multi-Disaster Based on Landform Characteristic in Parangtritis Area

Potential Multi-Disaster Based on Landform Characteristic in Parangtritis Area

Sedimentation Analysis of Kabul River by Using Hec-ras

Shallow‐Water Tsunami Deposits: Evidence From Sediment Cores and Numerical Wave Propagation of the 1601 CE Lake Lucerne Event

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