Street-scale storm surge load impact assessment using fine-resolution numerical modelling: a case study from Nemuro, Japan

Nakamura, Ryota; Mäll, Martin; Shibayama, Tomoya

doi:10.1007/s11069-019-03746-6

Cited by 13 publications

(6 citation statements)

References 47 publications

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“…The simulation results will validate using observational data by [3]. Validation analysis using Aida equation, sum square error (SE), mean square error (MSE), root mean square error (RMSE).…”

Section: Methodsmentioning

confidence: 96%

“…Human instability modelling needed data of human weight and height were used for input data. These data based on research by [3]. Analysis of human instability using five equations that developed by [11][12][3][13] [14] with result of this equations is critical velocity.…”

Section: Location Grid Size (M) Coordinatementioning

confidence: 99%

“…According [1], 437 peoples were death, 31,942 peoples were injured and 10 peoples were lost due to this disaster. The tsunami impact toward human lives was calculated by using the human instability equation [3] and TUNAMI Two Layer model was applied to simulate the landslide and propagation of tsunami [2]. The simulation results were validated with observations and field measurements data [1].…”

mentioning

confidence: 99%

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Landslide tsunami impact assessment toward human lives using numerical modelling: A case study from Banten, Indonesia

2022

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After the eruption of Mount Anak Krakatoa, December 22, 2018, which was accompanied by a large landslide into the waters of the Sunda Strait, resulting a tsunami that hit South Coast of Lampung and West of Banten. According [1], 437 peoples were death, 31,942 peoples were injured and 10 peoples were lost due to this disaster. The tsunami impact toward human lives was calculated by using the human instability equation [3] and TUNAMI Two Layer model was applied to simulate the landslide and propagation of tsunami [2]. The simulation results were validated with observations and field measurements data [1]. The result of simulation showed that flow depth of the tsunami reached 0.29-5.83 m with the tsunami velocity about 0.23-7.49 m/s along the shore of Pandeglang Regency. Using Aida Equation for validate simulation results, has K = 0.96733. The results of calculations using the human instability equation show that the value of hazard risk (HR) > 1 because all critical velocity values lower than velocity of simulation. So, it was mean that tsunami waves occurred in Banten especially Pandeglang Regency has high risk impact for the balance of the human body and this condition related with the observation condition that show many victims included people died and injured in this area.

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Section: Methodsmentioning

confidence: 96%

Section: Location Grid Size (M) Coordinatementioning

confidence: 99%

mentioning

confidence: 99%

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Landslide tsunami impact assessment toward human lives using numerical modelling: A case study from Banten, Indonesia

2022

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“…The value show that the tsunami wave height exceeded the height of human body. The Statistic Bureau of Japan data that applied by [24] to calculate the human instability was adopted with value about 1.51 m and 52 kg for height and weight of an elderly, respectively.…”

Section: Flood Impact Assessment On Livesmentioning

confidence: 99%

Tsunami Run-Up Assessment Toward Human Lives Around Meuraxa Sub-District, Banda Aceh, Indonesia

Rasyif¹,

Mahlil²

2022

Proceedings of the 1st International Conference on Contemporary Risk Studies, ICONIC-RS 2022, 31 March-1 April 2022, South Jaka

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The 2004 Indian Ocean tsunami caused dreadful damage in the Meuraxa subdistrict, Banda Aceh, Indonesia. After a decade, human population and land settlement growing in the tsunami prone area especially in Meuraxa sub-district. The COMCOT model was applied to simulate the tsunami wave. The building shape in simulation area was developed by using the Building Block model from the Open Street Map data. The study is aimed at investigating the impact of 2004 Indian Ocean Tsunami on human lives with the building shape condition in 2017 based on the Open Street Map. The result indicated that Meuraxa sub-district area have hazard ratio with value about 1. The local community, who stay in this prone area, cannot survive from the future of tsunami disaster. The human casualties in this area are able to reach as same number as in the 2004 event without a proper of mitigation program from local government.

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“…Hydrodynamic models that simulate storm surge by numerically solving shallow water equations on a grid (Teng et al, 2017) have been developed and widely used, such as the MIKE21 (e.g., Machineni et al, 2019), the Finite Volume Community Ocean Model (FVCOM) (e.g., Nakamura et al, 2019) and the Advanced Circulation (ADCIRC) model (e.g., Li et al, 2022).…”

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confidence: 99%

Development of a Novel Storm Surge Inundation Model Framework for Efficient Prediction

Gao,

Li,

et al. 2024

Preprint

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Abstract. Storm surge is a natural process that generates flood disasters in coastal zone and causes massive casualties and property losses. Therefore, the storm surge inundation is of major concern in formulating appropriate strategies for disaster prevention and mitigation. However, traditional storm surge hydrodynamic models have large limits on computational efficiency and stability in practical applications. In this study, a novel storm surge inundation model was developed based on a wetting and drying algorithm established from simplified shallow water momentum equation. The wetting and drying algorithm was applied to rectangle grid that iterates through cellular automata algorithm to improve computational efficiency. The model, referred to as the Hydrodynamical Cellular Automata Flood Model (HCA‐FM), was evaluated by comparing the simulations to regional field observations and that from a widely used hydrodynamic numerical model, respectively. The comparisons demonstrated that HCA‐FM can reproduce the observed inundation distributions, and predict consistent results with the numerical simulation in terms of the inundation extent and submerged depth, with much improved computational efficiency (predict inundation within a few minutes) and high stability. The results reflect significant advancement of HCA‐FM toward efficient predictions of storm surge inundation and applications at large space scales.

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Street-scale storm surge load impact assessment using fine-resolution numerical modelling: a case study from Nemuro, Japan

Cited by 13 publications

References 47 publications

Landslide tsunami impact assessment toward human lives using numerical modelling: A case study from Banten, Indonesia

Landslide tsunami impact assessment toward human lives using numerical modelling: A case study from Banten, Indonesia

Tsunami Run-Up Assessment Toward Human Lives Around Meuraxa Sub-District, Banda Aceh, Indonesia

Development of a Novel Storm Surge Inundation Model Framework for Efficient Prediction

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