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Crowdsourcing Exposure Data for Seismic Vulnerability Assessment in Developing Countries

机译:发展中国家地震脆弱性评估的众包曝光数据

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Census-based exposure information is often outdated or incomplete. For seismic risk assessment, this is particularly relevant in regions with non-seismically designed buildings, whose modeling requires higher detailing. The advent of low-cost technologies enabled crowdsourcing the required in situ data. This study presents a framework, based on Volunteered Geographic Information, and a new collection form to gather building data. From the 468 buildings in Nablus (Palestine) that were inventoried, the majority is irregular reinforced concrete frames built after 2002, with three stories or more. All the information was assembled within an online georeferenced platform, enabling the generation of conditional fragility curves.
机译:基于人口普查的曝光信息通常过时或不完整。 对于地震风险评估,这在具有非地震设计建筑物的地区特别相关,其建模需要更高的细节。 低成本技术的出现使得众所周知的原位数据。 本研究提出了一个框架,基于志愿的地理信息,以及收集建筑数据的新收集表格。 从纳布卢斯(巴勒斯坦)的468个建筑物中,大多数是2002年后建造的不规则钢筋混凝土架,有三个故事或更多。 所有信息都在在线地理学平台内组装,从而能够生成条件脆弱曲线。

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