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智慧应急在北京市地震韧性学校建设中的实践与应用研究
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作者 刘臻 王建飞 范文恺 《中国应急救援》 2023年第4期75-81,共7页
本文以北京市昌平区为试点,根据韧性城市建设总体要求,调研学校地震安全工作现状,提出构建融合智慧应急理念的学校地震韧性评估指标体系与评估方法,并对试点学校在地震灾害中的暴露度与易损性,对学校应急能力与恢复能力进行评估,针对地... 本文以北京市昌平区为试点,根据韧性城市建设总体要求,调研学校地震安全工作现状,提出构建融合智慧应急理念的学校地震韧性评估指标体系与评估方法,并对试点学校在地震灾害中的暴露度与易损性,对学校应急能力与恢复能力进行评估,针对地震安全韧性学校建设中存在的问题提出对策建议,建立科学有效的智慧应急地震韧性学校建设标准体系,为学校开展科普教育、应急预案修订、应急演练组织等示范创造有利条件,为北京市智慧应急韧性学校建设提供借鉴参考。 展开更多
关键词 智慧应急 韧性学校 指标体系 评估方法
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Participatory Early Warning Systems: Youth, Citizen Science,and Intergenerational Dialogues on Disaster Risk Reduction in Brazil 被引量:1
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作者 Victor Marchezini Rachel Trajber +3 位作者 Dbora Olivato Viviana Aguilar Muoz Fernando de Oliveira Pereira Andra Eliza Oliveira Luz 《International Journal of Disaster Risk Science》 SCIE CSCD 2017年第4期390-401,共12页
Building national people-centered early warning systems(EWS) is strongly recommended by the United Nations International Strategy for Disaster Reduction(UNISDR). Most of the scientific literature is critical of the co... Building national people-centered early warning systems(EWS) is strongly recommended by the United Nations International Strategy for Disaster Reduction(UNISDR). Most of the scientific literature is critical of the conventional view of EWS as a linear model with a topdown approach, in which technological features are given more attention than human factors. It is argued that EWS should be people-centered, and used for risk prevention,with an emphasis on resilience, rather than only being triggered when a hazard occurs. However, both the UNISDR and the literature fail to say how a people-centered EWS should be built, and what steps are needed to put EWS into effect. This article examines the obstacles and measures required to promote people-centered EWS,with a focus on the situation in Brazil. After assessing the institutional vulnerability of EWS, we analyze some measures that can be taken to reduce institutional vulnerability,based on experiences with a participatory citizen science educational project that involved high school students.Some guidelines are developed for adopting a bottom-up approach towards achieving the four elements of EWS—risk knowledge, monitoring, communication of warnings,and response capability—with the help of school curricula. 展开更多
关键词 Brazil Capacity building CITIZEN science Disaster risk reduction Early WARNING systems resilient schools
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自适应人工鱼群-BP神经网络算法在径流预测中的应用 被引量:12
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作者 师彪 李郁侠 +2 位作者 于新花 闫旺 李鹏 《自然资源学报》 CSCD 北大核心 2009年第11期2005-2013,共9页
为了提高水库和河流中长期径流预测精度,提出了弹性自适应人工鱼群算法(RAAFSA)。应用RAAFSA算法训练BP神经网络,实现BP神经网络参数优化,形成弹性自适应人工鱼群-BP神经网络混合算法(RAAFSA-BP),对石泉水库进行中长期径流预测。仿真计... 为了提高水库和河流中长期径流预测精度,提出了弹性自适应人工鱼群算法(RAAFSA)。应用RAAFSA算法训练BP神经网络,实现BP神经网络参数优化,形成弹性自适应人工鱼群-BP神经网络混合算法(RAAFSA-BP),对石泉水库进行中长期径流预测。仿真计算表明,弹性自适应人工鱼群优化的BP神经网络算法收敛速度快于BP神经网络算法、人工鱼群-BP神经网络算法和RBF神经网络算法。该混合算法克服了BP神经网络和人工鱼群算法易陷于局部极值、搜索质量差和精度不高的缺点,改善了BP神经网络的泛化能力,输出稳定性好,预报精度显著提高,每次预测相对误差绝对值都小于6%,合格率达到100%。该算法成功地解决了石泉水库中长期径流预测精度不高的难题,可有效用于水库和河川中长期径流预测。 展开更多
关键词 径流预测 RAAFSA-BP网络算法 弹性自适应人工鱼群算法 BP神经网络
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