Numerical Simulation and Analysis of Storm Surges Under Different Extreme Weather Event and Typhoon Experiments in the South Yellow Sea

Zhang, Mingzong; Zhou, Congcong; Zhang, Jisheng; Zhang, Xinzhou; Tang, Zihao

doi:10.1007/s11802-022-4750-7

Cited by 11 publications

(7 citation statements)

References 24 publications

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“…Ref. [77] provides a representative WNP R mw which was successfully employed in studies in the Philippines and China [29,78]. As a result, the R mw was derived using an equation created by the authors of [77], using the maximum wind speed V max (m/s) and latitude ϕ (degrees): R mw = 51.6 exp(−0.0223 V max + 0.0281ϕ) (4)…”

Section: Wind Field Modelmentioning

confidence: 99%

“…However, the present study is specifically designed to address the existing research gap by focusing on the intricate relationship between sea level rise (SLR) and storm surges within the context of Malaysia. Despite the extensive investigations carried out by international scholars, meticulously analyzing the influence of SLR on storm surges and accounting for a meticulously analyzing the influence of SLR on storm surges and accounting for a range of tropical cyclone (TC) factors and diverse coastal shapes [25][26][27][28][29][30][31], there persists a notable deficiency in comprehensively exploring how SLR interacts with storm surges in the specific geographical and environmental context of Malaysia. This gap not only underscores the necessity for localized research efforts but also emphasizes the critical importance of understanding the nuanced complexities associated with SLR and storm surges, particularly in a country like Malaysia, which is vulnerable to the impacts of climate change.…”

Section: Introductionmentioning

confidence: 99%

“…Accurate predictions rely on numerical models and precise typhoon data. Studies like [25][26][27][28][29][43][44][45][46] have examined typhoon tracks and their effects on coastal surges, revealing that surge response correlates with typhoon intensity. As the typhoon's wind speed increases, the surge tends to rise linearly.…”

Section: Introductionmentioning

confidence: 99%

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A Numerical Study on Storm Surge Dynamics Caused by Tropical Depression 29W in the Pahang Region

Mohd Anuar,

Teh,

2023

JMSE

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Amid mounting concerns about climate change’s impact on coastal areas, this study investigates storm surge dynamics induced by Tropical Depression 29W (TD 29W) using the MIKE 21 model. Comprehending the complex mechanisms behind storm surges is crucial considering gaps in understanding their combined influences, including tide–surge interactions, varying typhoon parameters, and changing storm tracks. The impacts of climate change, including accelerating sea level rise and its correlation with storm surge magnitudes, require detailed investigations for effective disaster management in vulnerable coastal communities. Through precise calibration, matching simulations with tidal gauge stations, this research uncovers the intricate interplay between landfall timing, diverse storm tracks, wind intensities, and the amplifying impact of rising sea levels. Findings indicate surge residuals ranging from −0.03m to 0.01m during TD 29W’s landfall, with higher surge residuals during rising tide phases. Moreover, an increase in TD 29W’s maximum wind speed moderately influences positive surges while significantly amplifying negative surge heights by 68% to 92% with wind speed increments. An analysis of typhoon track variations emphasizes the vulnerability of the Pahang coast to changing storm dynamics, underlining the need for tailored resilience strategies. Projections suggest a significant surge height increase by the year 2100, emphasizing the urgency of adaptive measures for the region.

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Section: Wind Field Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Numerical Study on Storm Surge Dynamics Caused by Tropical Depression 29W in the Pahang Region

Mohd Anuar,

Teh,

2023

JMSE

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“…1909 greatly increased bottom stress that determined sediment transport. Zhang et al [9] found that typhoons directly landing along the coast of Jiangsu increased storm surges in the radial sand ridge (RSR) area by up to nearly 3 m. The waves induced by storms dissipated wave energy in shallow waters and significantly enhanced the process of sediment resuspension, thereby affecting sedimentation dynamics [10]. Ma et al [2] found that alongshore currents played a crucial role in coastal morphology changes during a storm.…”

Section: Introductionmentioning

confidence: 99%

Response of Sediment Dynamics to Tropical Cyclones under Various Scenarios in the Jiangsu Coast

Wang,

Zhao,

Yang

et al. 2024

JMSE

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The Jiangsu Coast (JC), China, is an area susceptible to the impact of tropical cyclones (TCs). However, due to the lack of available on-site observation data, nearshore sedimentary dynamic processes under the impact of TCs have not been fully explored. This study developed a 3D wave–current–sediment numerical model for the JC based on the Finite Volume Community Ocean Model (FVCOM) to investigate sediment dynamic responses to TCs under various scenarios, including different tracks, intensities of TCs and tidal conditions. The validation results demonstrated the model’s satisfactory performance. According to the simulation results, typhoons can significantly impact the hydrodynamics and sediment dynamics. During Typhoon Lekima in 2019, strong southeasterly winds substantially increased the current velocity, bottom stress, wave height, and suspended sediment concentration (SSC). Three typical landfall-type typhoons, with prevailing southeasterly winds, brought significant sediment flux from southeast to northwest along the coast, while the typhoon that moved northward in the Yellow Sea induced a relatively small sediment flux from north to south. Typhoons could also induce stripe-like erosion and deposition, which is closely related to seafloor topography, resulting in seabed thickness variations of up to ±0.3 m. Additionally, strengthening typhoon wind fields can lead to increased sediment flux and seabed morphological changes. Typhoon Winnie, particularly at spring tide, had a greater impact on sediment dynamics compared to other landfall typhoons. Numerical simulations showed that the typhoon-induced net sediment flux within the spring tidal cycle could increase by 80% to 100% compared to the neap tidal cycle, indicating the significant influence of tidal conditions on sediment transport during TC events.

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“…With the development of wave models, the abundance of assimilation data, and the improvements in grid technology, wave models have been used to solve many scientific problems [7][8][9][10][11][12]. In wave numerical simulations, many ocean phenomena exist, and it is difficult to obtain results through calculations directly with the accuracy of the grid (not less than 50 m), which is called the sub-grid scale or sub-mesoscale physical process [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

The Wave Period Parameterization of Ocean Waves and Its Application to Ocean Wave Simulations

Lv,

Zhang,

Shi

et al. 2023

Remote Sensing

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The wave period is a wave parameter that is significantly influenced by factors such as wind speed and bottom topography. Previous research on wave period parameterization has primarily focused on wind-dominated sea areas and may not be applicable to certain regions, such as the equatorial calm or coastal areas dominated by swell waves. To address this limitation, this paper utilizes the third-generation wave numerical model SWAN to perform wave numerical simulations for a portion of the Northwest Pacific Ocean. The simulation incorporates observational data from nearshore stations, buoys, and satellite altimeters for error analysis. To develop a new wave parameterization scheme (WS-23), we employ extensive NDBC buoy data and incorporate the exponential rate and wave age characteristics that were previously established by predecessors. Our scheme introduces a judgement mechanism to distinguish between wind waves, swell waves, and mixed waves. The resulting ocean wave factor enhances the mean wave period values calculated using the model and other parameterization schemes. The experimental results demonstrate that our new parameterization scheme effectively improves the abnormal peak of the fitting data. Comparing the output values of the mean wave period element output of the SWAN model with our new parameterization scheme, we observe a reduction in the mean values of Ea, Ec, and RMSE by 0.231, 1.94%, and 0.162, respectively, while increasing the average r by 0.05.

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Numerical Simulation and Analysis of Storm Surges Under Different Extreme Weather Event and Typhoon Experiments in the South Yellow Sea

Cited by 11 publications

References 24 publications

A Numerical Study on Storm Surge Dynamics Caused by Tropical Depression 29W in the Pahang Region

A Numerical Study on Storm Surge Dynamics Caused by Tropical Depression 29W in the Pahang Region

Response of Sediment Dynamics to Tropical Cyclones under Various Scenarios in the Jiangsu Coast

The Wave Period Parameterization of Ocean Waves and Its Application to Ocean Wave Simulations

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