Resonance modeling of the tsunami caused by the Aegean Sea Earthquake (Mw7.0) of October 30, 2020

IF 3.1 3区 计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Computational Science Pub Date : 2024-08-05 DOI:10.1016/j.jocs.2024.102398
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Abstract

The resonance of tsunami waves in semi-enclosed bays is paramount in understanding and mitigating the impact of seismic events on coastal communities. Semi-enclosed bays, characterized by their partial enclosure, can amplify the effects of incoming tsunami waves due to resonance behavior, where the natural frequencies of the bay correspond to those of the incoming waves. This resonance phenomenon can significantly increase wave height and inundation levels, posing an increased risk to nearby settlements and infrastructure. Understanding the resonance patterns in these bays is crucial for accurate hazard assessment, early warning systems, and effective disaster preparedness and response strategies. On October 30, 2020, an earthquake occurred between the Turkish Bay of Seferihisar Bay and the Greek island of Samos in the Aegean Sea. Long waves generated by the normal-faulting earthquake caused notable damage to settlements within Seferihisar Bay and the north coast of Samos Island. According to the measurements of the Syros mareograph stations, the wave heights were between 2 and 20 cm and wave periods between 9 and 20 seconds. Based on on-site survey reports conducted after the earthquake, inundation was reported in six settlements within Seferihisar Bay. However, inundation was notably higher in Sığacık and Akarca, reaching 2–3 times higher than in other locations, and the water level reached 2 m high. Given that the variance in inundation levels is attributed to resonance phenomena in Sığacık and Akarca rather than the propagation of tsunami waves, this study focused on conducting wave resonance modeling in Seferihisar Bay. The resonance modeling was performed using the RIDE wave model. Furthermore, the research has been expanded to assess the resonance patterns that might emerge in the event of an alternative earthquake or underwater landslide along the fault line responsible for the seismic event, encompassing wave periods ranging from T = 1–9 minutes and T = 20–30 minutes. Modeling results revealed that on the day of the earthquake, wave heights in Sığacık Marina and Akarca surged by 8.5 times in comparison to the wave height at the epicenter. This increase is notably higher, ranging from 2 to 2.5 times, compared to calculations made for other locations (Demircili, Altınköy, and Tepecik). Consequently, it was concluded that one of the reasons for the heightened effectiveness of inundation in Sığacık and Akarca was attributable to resonance. Moreover, supplementary investigations have indicated that waves with a period of T<9 minutes will pose higher risks for Demircili, Altınköy, Sığacık Marina, and Tepecik compared to the day of the earthquake. By comprehensively studying wave resonance in semi-enclosed bays, researchers and policymakers can better anticipate the potential impact of tsunami events and take measures to protect coastal communities, ultimately increasing resilience and reducing the loss of life and property in vulnerable regions.

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2020 年 10 月 30 日爱琴海地震(Mw7.0)引发海啸的共振建模
海啸波在半封闭海湾中的共振对了解和减轻地震事件对沿海社区的影响至关重要。半封闭海湾的特点是部分封闭,由于海湾的自然频率与海啸波的自然频率一致,海啸波的共振行为会扩大海湾的影响。这种共振现象会大大增加海浪高度和淹没程度,给附近的居民点和基础设施带来更大的风险。了解这些海湾的共振模式对于准确的灾害评估、预警系统以及有效的备灾和救灾战略至关重要。2020 年 10 月 30 日,爱琴海土耳其塞费里希萨尔湾和希腊萨摩斯岛之间发生地震。正常断层地震产生的长波对塞费里希萨尔湾和萨摩斯岛北海岸的居民点造成了明显破坏。根据锡罗斯海图站的测量,波高在 2 至 20 厘米之间,波长在 9 至 20 秒之间。根据震后进行的现场调查报告,塞费里希萨尔湾内有六个居民点被淹没。不过,Sığacık 和 Akarca 的淹没程度明显高于其他地方,达到 2-3 倍,水位高达 2 米。鉴于淹没水位的变化归因于 Sığacık 和 Akarca 的共振现象,而不是海啸波的传播,因此本研究侧重于在塞费里希萨尔湾进行波浪共振建模。共振建模使用的是 RIDE 波浪模型。此外,研究还扩展到评估在发生替代地震或沿造成地震事件的断层线发生水下滑坡时可能出现的共振模式,包括 T = 1-9 分钟和 T = 20-30 分钟的波浪周期。建模结果显示,地震当天,Sığacık Marina 和 Akarca 的波高与震中波高相比激增了 8.5 倍。与其他地点(Demircili、Altınköy 和 Tepecik)的计算结果相比,波高明显增加了 2 至 2.5 倍。因此,得出的结论是,Sığacık 和 Akarca 的淹没效果提高的原因之一是共振。此外,补充调查还表明,与地震当天相比,周期为 T<9 分钟的波浪将对 Demircili、Altınköy、Sığacık Marina 和 Tepecik 造成更大风险。通过全面研究半封闭海湾的波浪共振,研究人员和决策者可以更好地预测海啸事件的潜在影响,并采取措施保护沿海社区,最终提高脆弱地区的抗灾能力,减少生命和财产损失。
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来源期刊
Journal of Computational Science
Journal of Computational Science COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS
CiteScore
5.50
自引率
3.00%
发文量
227
审稿时长
41 days
期刊介绍: Computational Science is a rapidly growing multi- and interdisciplinary field that uses advanced computing and data analysis to understand and solve complex problems. It has reached a level of predictive capability that now firmly complements the traditional pillars of experimentation and theory. The recent advances in experimental techniques such as detectors, on-line sensor networks and high-resolution imaging techniques, have opened up new windows into physical and biological processes at many levels of detail. The resulting data explosion allows for detailed data driven modeling and simulation. This new discipline in science combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods. Computational science typically unifies three distinct elements: • Modeling, Algorithms and Simulations (e.g. numerical and non-numerical, discrete and continuous); • Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems; • Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components (e.g. problem solving environments).
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