Ryota Nakamura

Ryota Nakamura


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 February 2016 in Natural Hazards
Verified
Journal Article
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RNRyota Nakamura
Ryota Nakamura
TSTomoya Shibayama
Tomoya Shibayama
MEMiguel Esteban
Miguel Esteban
TITakumu Iwamoto
Takumu Iwamoto

24 October 2014 in Journal of Flood Risk Management
Verified
Journal Article
Closed access
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HTHiroshi Takagi
Hiroshi Takagi
MEMiguel Esteban
Miguel Esteban
TSTomoya Shibayama
Tomoya Shibayama
TMT. Mikami
T. Mikami
RMR. Matsumaru
R. Matsumaru
RNRyota Nakamura
Ryota Nakamura

1 February 2016 in Coastal Engineering
Verified
Journal Article
Closed access
HTHiroshi Takagi
Hiroshi Takagi
SLSiyang Li
Siyang Li
MLMario de Leon
Mario de Leon
MEMiguel Esteban
Miguel Esteban
TMTakahito Mikami
Takahito Mikami
RNRyota Nakamura
Ryota Nakamura

1 May 2017 in Journal of Waterway, Port, Coastal, and Ocean Engineering
Verified
Journal Article
Closed access
INIoan Nistor
Ioan Nistor
Nils GosebergNils Goseberg
Nils Goseberg
JSJacob Stolle
Jacob Stolle
TMTakahito Mikami
Takahito Mikami
TSTomoya Shibayama
Tomoya Shibayama
SMShunya Matsuba
Shunya Matsuba
This study presents the results of an experimental research program dealing with spatial debris motion on a horizontal apron depicting a typical harbor wharf. Accordingly, scaled-down 6.1-m (20-ft) shipping containers were equipped with a novel yet nonintrusive real-time tracking system and motion sensors. The instrumentation allowed for the spatiotemporal tracking of debris specimens moving across the apron while entrained by an incoming tsunami-like broken bore. The system proved its capabilities and accuracy; this was particularly challenging since this was the first time the system was used in water. The experiments involved using various numbers of shipping containers that were either arranged in one layer or stacked in two layers. In addition, the effect of different numbers of container rows was also investigated to study the influence of the overall container count and placement with respect to their longitudinal displacement and dispersion (spreading) across the apron. Linear relationshi...

6 September 2014 in Natural Hazards
Verified
Journal Article
Closed access
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KTKhandker Masuma Tasnim
Khandker Masuma Tasnim
TSTomoya Shibayama
Tomoya Shibayama
MEMiguel Esteban
Miguel Esteban
HTHiroshi Takagi
Hiroshi Takagi
KOKoichiro Ohira
Koichiro Ohira
RNRyota Nakamura
Ryota Nakamura

19 June 2020 in Coastal Engineering Journal
Verified
Journal Article
Closed access
RARafael Aránguiz
Rafael Aránguiz
MEMiguel Esteban
Miguel Esteban
HTHiroshi Takagi
Hiroshi Takagi
TMTakahito Mikami
Takahito Mikami
TTTomoyuki TAKABATAKE
Tomoyuki TAKABATAKE
INIoan Nistor
Ioan Nistor
The September 28 2018 Palu tsunami surprised the scientific community, as neither the earthquake magnitude nor its strike-slip mechanism were deemed capable of producing the wave heights that were observed. However, recent research has shown that the earthquake generated several landslides inside Palu bay. The authors conducted a post-disaster field survey of the area affected to collect spatial data on tsunami inundation heights, nearshore and bay bathymetry, and carried out eyewitness interviews to collect testimonies of the event. In addition, numerical simulations of the tsunami generation and propagation mechanisms were carried out and validated with the inferred time series. Seven small submarine landslides were identified along the western shore of the bay, and one large one was reported on the eastern shore of Palu City. Most of these landslides occurred at river mouths and reclamation areas, where soft submarine sediments had accumulated. The numerical simulations support a scenario in which the tsunami waves that arrived at Palu city 4–10 min after the earthquake were caused by the co-seismic seafloor deformation, possibly coupled with secondary waves generated from several submarine landslides. These findings suggest that more comprehensive methodologies and tools need to be used when assessing probabilistic tsunami hazards in narrow bays.