智利工业结构的国家风险模型

IF 4.5 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Felipe Sánchez , Paula Aguirre , Hernán Santa María
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引用次数: 0

摘要

2010年Maule大地震给智利造成的损失估计为300亿美元,其中工业建筑损失的比例至今仍不得而知。这引起了人们对下一次大地震事件会发生什么的关注。因此,有必要将地震风险信息纳入政府减灾措施。近年来,在住宅建筑物的暴露模型方面取得了进展,但只有少数调查包括工业建筑物,这主要是由于数据库中缺乏可用的资料以及难以从私营部门获得额外的资料。这就需要以计算方式收集和处理从现有数据库获得的数据和远程获得的信息。本研究的结果包括方法论的定义和随后在国家层面上获得的暴露模型,其中包括智利工业建筑的量化、地理位置和特征类型学的定义,通过其自己的灵活分类,为每个建设性类型学的后续结构建模提供必要的信息。鉴于可获得的信息有限,进入工业场地的途径有限,该研究采用了一种混合方法,将公共地籍数据的统计分析与远程目视调查相结合。除了获得暴露模型外,还讨论和比较了可用的信息源,指出了相关的不确定性和所考虑的假设。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
National exposure model for industrial structures in Chile
The 2010 Maule mega-earthquake produced estimated damage in Chile of 30 billion dollars, of which until today, the percentage corresponding to the cost associated with damage to industrial structures is unknown. This has generated concern regarding what will happen in the next major seismic event. Therefore, the need arises to incorporate seismic risk information in government disaster risk reduction measures.
In recent years, progress has been made in exposure models for residential buildings, but only a small number of investigations include industrial buildings, mainly due to the lack of information available in the databases and the difficulty in obtaining additional information from the private sector. This generates the need to computationally collect and process data obtained from existing databases and information obtained remotely.
The result of this research consists of the definition of a methodology and subsequent obtaining of an exposure model at the national level that includes the quantification, geographical location and the definition of characteristic typologies of industrial buildings in Chile, through its own flexible taxonomy that provides the necessary information for the subsequent structural modeling of each constructive typology. Given the limited information available and restricted access to industrial sites, the research adopts a hybrid methodology that combines statistical analysis of public cadastral data with remote visual surveys. In addition to obtaining an exposure model, the available information sources are discussed and compared, indicating the associated uncertainties and the assumptions considered.
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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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