城市地震风险测绘的先进烈度测量:来自特大城市的证据

IF 4.5 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Ali Rodríguez-Castellanos , Edén Bojórquez , Juan Bojórquez , Sonia E. Ruiz , Joel Carvajal , Herian Leyva , Omar Payán
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引用次数: 0

摘要

在2017年墨西哥城普埃布拉地震中,采用传统和先进的烈度测量方法,进行了一系列空间分析,以检验地震烈度与观察到的建筑物结构破坏之间的相关性。基于PGA、Sa(T1)和先进的强度测量INp,进行概率地震危害分析,生成地震烈度图,INp包含了由于非线性结构行为导致的周期伸长。在分析中使用了最近公布的政府受损中低层建筑数据库。Moran指数和局部空间关联指标显示地震需求与灾害分布具有显著的空间自相关性。为了评价哪一种测量方法能更好地反映观测到的损伤,应用了叠加和接近分析。结果表明,虽然两种强度措施对短周期结构的表现相似,但INp对中高层建筑的表现优于Sa(T1);特别是在中长振动周期。这些发现支持将INp纳入城市环境地震风险绘图和减灾战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced intensity measures for urban seismic-risk mapping: Evidence from a Megacity
A series of spatial analyses were conducted to examine the correlation between seismic intensity—using both traditional and advanced intensity measures—and the structural damage observed in buildings affected by the 2017 Puebla earthquake in Mexico City. Probabilistic seismic hazard analyses were performed to generate seismic intensity maps based on PGA and Sa(T1) and the advanced intensity measure INp, which incorporates period elongation due to nonlinear structural behavior. A recently released government database of damaged low- and mid-rise buildings was used in the analyses. Moran's Index and Local Indicators of Spatial Association revealed significant spatial autocorrelation between seismic demand and damage distribution. To evaluate which measure better reflects the observed damage, overlay and proximity analyses were applied. Results show that while both intensity measures perform similarly for short-period structures, INp outperforms Sa(T1) for mid-rise buildings; particularly at intermediate-to-long vibration periods. These findings support the integration of INp into seismic risk mapping and mitigation strategies for urban environments.
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来源期刊
International journal of disaster risk reduction
International journal of disaster risk reduction GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
8.70
自引率
18.00%
发文量
688
审稿时长
79 days
期刊介绍: The International Journal of Disaster Risk Reduction (IJDRR) is the journal for researchers, policymakers and practitioners across diverse disciplines: earth sciences and their implications; environmental sciences; engineering; urban studies; geography; and the social sciences. IJDRR publishes fundamental and applied research, critical reviews, policy papers and case studies with a particular focus on multi-disciplinary research that aims to reduce the impact of natural, technological, social and intentional disasters. IJDRR stimulates exchange of ideas and knowledge transfer on disaster research, mitigation, adaptation, prevention and risk reduction at all geographical scales: local, national and international. Key topics:- -multifaceted disaster and cascading disasters -the development of disaster risk reduction strategies and techniques -discussion and development of effective warning and educational systems for risk management at all levels -disasters associated with climate change -vulnerability analysis and vulnerability trends -emerging risks -resilience against disasters. The journal particularly encourages papers that approach risk from a multi-disciplinary perspective.
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