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首页> 外文会议>Annual Meeting of Risk Analysis Committee of China Association for Disaster Prevention >Risk Assessment of People Trapped in Earthquakes Based on Km Grid: A Case Study in Zhaotong City, Yunnan, China
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Risk Assessment of People Trapped in Earthquakes Based on Km Grid: A Case Study in Zhaotong City, Yunnan, China

机译：基于KM GRID的地震中陷入地震中的人民风险评估 - 以云南省Zhaotong City为例

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摘要

Risk assessment of the trapped personnel location is the important basis for earthquake disaster risk preparation and emergency search and rescue in an earthquake. Using a constructed assessment model, we assessed the risk of people trapped in the collapsed buildings caused by an earthquake in Zhaotong city, Yunnan province, based on km grid data. Results showed that, the highest risk areas of trapped personnel distribution were mainly located in Zhaoyang district, Zhenxiong county and Weixin county. The higher the occupancy population density and the area of collapsed buildings are, the higher the risk level of people trapped. The grid-based assessment of people trapped in earthquakes, can meet the requirements of key search and rescue zone identification and rescue forces allocation in the early stage of earthquake emergency. In future, as the abundant and improvement of basic data, it is possible to provide more information and suggestions for earthquake disaster risk preparation and emergency search and rescue by using grid-based risk assessment of trapped people in earthquakes.
机译：被困人员地区的​​风险评估是地震灾害风险准备和紧急搜查和救援在地震中的重要基础。使用构建的评估模型，我们评估了云南省昭通市地震，基于KM网格数据陷入云南省地震引起的倒塌建筑物的风险。结果表明，陷阱人员分销的最高风险领域主要位于昭阳区，镇雄县和威鑫县。占人口密度越高，折叠建筑面积越高，人们的风险水平越高。陷入地震中的基于网格的基于网格评估，可以满足地震应急的早期搜索和救援区识别和救援部队分配的要求。将来，作为基本数据的丰富和改进，通过使用基于网格的地震中的困难的人的风险评估，可以为地震灾害风险准备和救援提供更多信息和建议。

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