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Estimation of earthquake damage to urban environments using sparse modeling
Environment and Planning B: Urban Analytics and City Science ( IF 2.6 ) Pub Date : 2021-01-21 , DOI: 10.1177/2399808320986560
Yoshiki Ogawa 1 , Yoshihide Sekimoto 1 , Ryosuke Shibasaki 1
Affiliation  

For the establishment of precise disaster prevention measures in response to the Nankai megathrust earthquakes predicted to occur in the future, it is necessary to conduct numerous earthquake simulations and evaluate the vulnerability of the urban environment quantitatively. This vulnerability is evaluated on the basis of factors such as the extent of damage from earthquakes, as well as the attributes of residents, urban infrastructure, and systems in the environment. In this study, we propose a sparse modeling (SpM)-based technique for the evaluation of potential damage to urban environments due to Nankai megathrust earthquakes in Japan. As explanatory variables, any variables related to urban environments in Kochi Prefecture are considered. The results show that, unlike the so-called “complex disaster” events, the number of critical variables that characterize damage states when external disaster forces data (e.g. estimated seismic motion and tsunami height) and urban environment data are available is low, regardless of the magnitude of damage. In other words, urban system variables selected for damage states may be extracted as variables indicating vulnerability to earthquake damage. In addition, we evaluated the characteristics of different cities by visualizing the SpM results on a radar chart. The proposed technique is useful for gaining a deeper understanding of the influence of urban environment variables on earthquake damages. Furthermore, it is expected that measures for improving urban system resilience will be explored based on the proposed technique.



中文翻译:

用稀疏模型估算地震对城市环境的破坏

为了针对未来的南开大推力地震建立精确的防灾措施,有必要进行大量的地震模拟并定量评估城市环境的脆弱性。根据诸如地震造成的破坏程度以及居民,城市基础设施和环境中系统的属性等因素来评估此漏洞。在这项研究中,我们提出了一种基于稀疏建模(SpM)的技术,用于评估日本南开大推力地震对城市环境造成的潜在破坏。作为解释变量,可以考虑与高知县城市环境有关的任何变量。结果表明,与所谓的“复杂灾难”事件不同,当外部灾害力数据(例如,估计地震运动和海啸高度)和城市环境数据可用时,表征损坏状态的关键变量数量很少,无论损坏的程度如何。换句话说,可以选择为破坏状态选择的城市系统变量作为指示对地震破坏的脆弱性的变量。此外,我们通过在雷达图上可视化SpM结果来评估不同城市的特征。所提出的技术有助于深入了解城市环境变量对地震破坏的影响。此外,预期将基于提出的技术探索改善城市系统弹性的措施。估计的地震运动和海啸高度)以及城市环境数据都很低,无论破坏程度如何。换句话说,可以选择为破坏状态选择的城市系统变量作为指示对地震破坏的脆弱性的变量。此外,我们通过在雷达图上可视化SpM结果来评估不同城市的特征。所提出的技术有助于深入了解城市环境变量对地震破坏的影响。此外,期望在提出的技术的基础上探索改善城市系统弹性的措施。估计的地震运动和海啸高度)以及城市环境数据都很低,无论破坏程度如何。换句话说,可以选择为破坏状态选择的城市系统变量作为指示对地震破坏的脆弱性的变量。此外,我们通过在雷达图上可视化SpM结果来评估不同城市的特征。所提出的技术有助于深入了解城市环境变量对地震破坏的影响。此外,预期将基于提出的技术探索改善城市系统弹性的措施。可以将为破坏状态选择的城市系统变量提取为表示易受地震破坏影响的变量。此外,我们通过在雷达图上可视化SpM结果来评估不同城市的特征。所提出的技术有助于深入了解城市环境变量对地震破坏的影响。此外,预期将基于提出的技术探索改善城市系统弹性的措施。可以将为破坏状态选择的城市系统变量提取为表示易受地震破坏影响的变量。此外,我们通过在雷达图上可视化SpM结果来评估不同城市的特征。所提出的技术有助于深入了解城市环境变量对地震破坏的影响。此外,预期将基于提出的技术探索改善城市系统弹性的措施。

更新日期:2021-01-21
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