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Risk analysis of coastal flooding due to distant tsunamis.

机译:海啸造成的沿海洪灾风险分析。

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摘要

A more effective and feasible probabilistic methodology is developed for predicting the risk of coastal flooding due to distant tsunamis generated by earthquakes in the Pacific Ocean. This methodology predicts the occurrence frequency of coastal inundation indirectly by linking the probability of inundation with earthquake statistics. This indirect method is more feasible since there are more complete and reliable historical data on earthquakes in the Pacific Basin as compared with tsunami data. The link between earthquakes and tsunami inundation was established using advanced computer simulation models such as the Cornel COMCOT tsunami model. For validation purposes, the methodology is applied to predict the tsunami inundation risk in Hilo Bay, Hawai'i, where relatively more tsunami data are available. Despite the complex nature of the tsunami phenomenon and the many parameters involved in the modeling, the predicted return period of coastal inundation showed promising agreement with the return period calculated directly from the field data in Hilo Bay.; Besides developing and evaluating the probabilistic risk analysis methodology, other fundamental research was also carried out. By analyzing the earthquake data through different probability distributions, it was found that the commonly used Gumbel distribution in hydrology does not fit the earthquake data well and therefore may not be suitable for earthquake statistical analysis. Numerical simulations conducted also revealed that tsunami wrap-around phenomenon observed around smaller islands in Asia does not occur in the relatively larger Hawai'ian island chain. In addition, through thorough and careful numerical tests, the optimal domain size, time step and bathymetry resolution for numerical simulation of tsunamis in the Pacific Ocean were determined which can serve as helpful guidance for future simulation studies.; This study is among the first to develop and apply an indirect probabilistic methodology to study the risk of inundation caused by earthquake-generated distant tsunamis in the Pacific Basin and the results presented can be very useful to civil defense agencies and coastal engineers in their planning for coastal hazard mitigation and proper coastal development and management.
机译:开发了一种更有效和可行的概率方法,用于预测由于太平洋地震造成的远距离海啸引起的沿海洪水风险。该方法通过将淹没概率与地震统计数据联系起来,间接预测了沿海淹没的发生频率。这种间接方法更可行,因为与海啸数据相比,太平洋盆地地震的历史数据更为完整和可靠。地震和海啸淹没之间的联系是使用诸如Cornel COMCOT海啸模型之类的高级计算机模拟模型建立的。为了验证目的,该方法用于预测夏威夷希洛湾的海啸淹没风险,那里有相对更多的海啸数据。尽管海啸现象的性质复杂且建模涉及许多参数,但沿海淹没的预计返回期与直接从希洛湾实地数据计算得出的返回期有希望的一致性。除了开发和评估概率风险分析方法之外,还进行了其他基础研究。通过不同概率分布对地震数据进行分析,发现水文学中常用的Gumbel分布与地震数据不太吻合,因此可能不适合进行地震统计分析。进行的数值模拟还显示,在相对较大的夏威夷岛链中没有出现在亚洲较小岛屿周围观察到的海啸环绕现象。此外,通过彻底和仔细的数值测试,确定了太平洋海啸数值模拟的最佳域大小,时间步长和测深仪分辨率,这可为将来的模拟研究提供指导。这项研究是最早开发和应用间接概率方法来研究太平洋盆地地震造成的遥远海啸引起的淹没风险的研究之一,所提出的结果对于民防机构和海岸工程师的规划非常有用。减轻沿海灾害以及适当的沿海开发和管理。

著录项

  • 作者

    Gica, Edison.;

  • 作者单位

    University of Hawai'i.;

  • 授予单位 University of Hawai'i.;
  • 学科 Engineering Civil.; Physical Oceanography.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 414 p.
  • 总页数 414
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;海洋物理学;
  • 关键词

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