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四川省城市地震灾害脆弱性综合评价研究 总被引:1,自引:1,他引:0
城市化进程的不断推进使得城市的地震灾害脆弱性日益加剧,而城市承灾体的脆弱性受复杂因素影响。本文针对评价指标受主观性影响较大的问题,基于人口、工程、经济及社会4个方面,构建了城市震害综合脆弱性评价指标体系;并构建基于实码加速遗传算法优化投影寻踪(RAGA-PP)的城市震害脆弱性评价模型;最后,对四川省21个市、州进行了震害脆弱性评价。结果表明:巴中、南充等地脆弱性较高,成都、攀枝花等地脆弱性较低;经济因素对城市震害脆弱性影响较大;该评价模型能够克服人为主观性,有效可行。 相似文献
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From the events of catastrophic natural disasters that have occurred in recent years, it can be found that social media platforms are increasingly becoming the most important and most convenient way for the general public to timely release and obtain information on disasters. The information obtained from such platforms contains a large amount of information in the form of texts, pictures, etc. that record the current situation of the disaster. And it also has characteristics of high efficiency and high spatial distribution to serve the rapid emergency after the earthquake. In this paper, we firstly make a statistical analysis of 32 689 pieces of historical disaster data acquired from 5 earthquakes with obvious characteristics, such as post-earthquake disaster events, user's expression habits and so on, and adopts cross-validation method. Then information classification system which includes seven first-level categories and more than 50 second-level categories is constructed. The information classification system and evaluation system of crisis degree for post-earthquake emergency response are constructed both using cross-validation method. The former is referred to the thought of existing classification basis and the experience knowledge of several emergency experts. Based on the five indicators of subject word, action word, degree word, time and position measurement, an evaluation system of critically with four levels of severity, moderate intensity, mildness and others was constructed. Considering the sparse features of self-media information and the large difference in the number of training sets, a naive Bayes model for information classification is trained based on the classification system and evaluation system. Its accuracy rate is 73.6%. At the same time, the classification method of feature fusion of machine learning model and semantic calculation model is used to evaluate the criticality of the disaster information. The accuracy rate of the evaluation model is 89.2%, higher than 85.2% of the semantic computing model and 77% of the naive Bayesian model. The evaluation model has combined the advantages of semantic computing method which can evaluate all index features with machine learning method which has high classification efficiency and accuracy. The thresholds for classification between mild and moderate intensity, moderate intensity and severe intensity were 15.2 and 27.39. The model realized in this paper can crawl, classify and evaluate the disaster information in the media in real time after an earthquake, and realizes mining of a small amount of critical and important information from the massive self-media information, thus, to assist in earthquake intensity rapid reporting and accurate rescue. Finally, taking the Jiuzhaigou earthquake on August 8, 2017 as an example, 17 432 pieces of data were crawled in real time within 48 hours after the earthquake. At the same time, based on ArcGIS, the mining information is visualized in time and space, and the availability of the data is evaluated from two perspectives of earthquake intensity quick reporting and accurate rescue after the earthquake. The disaster information of Jiuzhaigou County in the earthquake area is obviously more than that of the non-earthquake area in terms of quantity and emergency degree. The results show that the self-media information with high spatial distribution can effectively find the severer disaster grade area after the earthquake, shorten the time of earthquake intensity prediction, effectively classify and extract information, provide real-time information for precise rescue, and improve the efficiency of emergency response after the earthquake. 相似文献
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饱和砂土液化是由地震引起的一种最常见的工程地质现象,也是造成重大地震灾害的主要原因之一。由于成因的复杂性和所造成灾害的严重性,饱和砂土液化一直是土动力学和岩土地震工程研究领域的重要课题。针对饱和砂土液化问题,基于开源地震工程数值计算平台OpenSees,对材料库中的4种砂土本构模型进行数值计算。采用二维u-p单元模拟土颗粒位移和孔隙水压力,分析和对比4种模型在循环动力荷载作用下的加速度、超孔隙水压力、位移、剪应力-剪应变和平均有效应力路径方面的响应结果。研究结果表明:(1)砂土对输入加速度表现出一定的放大效应,对于不同的模型,该放大效应存在一些差异;(2) Stress Density模型在循环动力荷载作用下易产生永久变形;(3)在循环动力荷载作用下,PDMY模型和CycLiqCPSP模型的强度逐渐降低,直到完全消失;(4) Stress Density模型和Manzari Dafalias模型在循环动力荷载下表现出明显的剪胀效应。研究成果对砂土液化的数值模拟问题具有重要的理论价值,可为饱和砂土的液化模拟和砂土本构模型的选取提供参考。 相似文献
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地震分级预警——试论实现在目前预测水平下地震预测意见面对社会的科学对策 总被引:1,自引:0,他引:1
在学习文献[1]基础上,回顾近40年云南地震预测意见在面对社会过程中的经验教训,并参考国内外对于各类自然灾害、恐怖威胁分级预警对策,提出以地震分级预警形式向社会发布地震预警是在目前地震预报水平下实现地震预测意见直接面对社会的可行的科学办法. 相似文献
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城市地震灾害与防震减灾对策 总被引:7,自引:0,他引:7
综合有关资料显示,地震灾害造成城市人员重大伤亡,经济损失惨重,是毁城之首。城市震灾具有许多特点,是防震减灾的重中之重,提出了城市的综合防震减灾对策,可减轻未来震灾损失,促进社会的稳定和可持续发展。 相似文献
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破坏性地震发生后,地震灾情快速评估作为地震应急指挥技术系统中的核心模块能够为各级政府和应急管理部门地震应急指挥决策提供重要的信息服务,是地震应急救援与指挥决策重要的支撑平台。随着学者对地震应急领域几十年的研究,已经具备了开发新一代地震灾害快速评估系统的条件。本文基于甘肃省分震级地震烈度衰减模型、分区域的地震灾害人员伤亡评估模型、地震应急专题图设计等研究基础,研发了新一代甘肃省地震灾害快速评估原型系统,实现了软件自动触发、分震级地震影响范围估计、分区地震灾害人员伤亡计算,自动生成地震灾情评估报告,提高了系统的自动化水平和计算结果的精度。该软件能够提升甘肃省地震灾害快速响应能力,能够为甘肃省地震灾害应急救援和指挥决策提供更为科学可靠信息服务。 相似文献
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城市防震减灾能力的定义及评估方法 总被引:9,自引:0,他引:9
谢礼立 《地震工程与工程振动》2006,26(3):1-10
城市防震减灾能力本身是一个涉及因素众多的复杂体系,对它的评估也是涉及到地震科学、社会科学和经济科学的交叉学科问题。本文首先提出了城市防震减灾能力的概念,把人员伤亡、经济损失和震后恢复时间3方面作为衡量城市防震减灾能力的准则;围绕这三个准则,从影响城市防震减灾能力的众多复杂因素中归纳出6大因素,并用一些简单、可测量的指标来代表这6大因素,建立起城市防震减灾能力指标体系;然后再分别建立这些指标体系中的各种因素或其子因素与评价三准则中的人员伤亡、经济损失和恢复时间的联系;最后,用灰色关联分析方法将3个评价准则综合成一个防震减灾能力指数。从而为城市防震减灾能力评估提供了一个较系统、完整的理论体系框架。城市防震减灾能力评价体系的建立能够对城市的防震减灾能力进行定量的评价,从而指导城市进行防震减灾努力的决策。 相似文献
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为了揭示地震重灾区与次生地质灾害的关联性,以某地震灾区为例,在分析次生地质灾害类型与危害的基础上,通过计算一次泥石流总量及流量确定其危险度,并引入易损性指数,确定各评价单元次生山地灾害的易损性大小,设置评价指标;结合研究区实际,采用层次分析法构建次生地质灾害风险评价模型,对地震重灾区诱发次生地质灾害风险进行评价。实验以次生地质灾害中的泥石流产生的灾害风险为例进行研究,结果表明,采用本文研究方法可在有效确定地震重灾区诱发次生地质灾害的位置方面具有一定优势,但在纵向地震造成次生地质灾害风险评价方面需进一步进行研究。 相似文献
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以少震弱震的江西萍乡地区为例,通过问卷调查的方式分析了该区民众防震减灾意识的现状及特点,讨论了相应的防震减灾宣教意义。主要结论如下:1)当地民众对本地灾害的认知情况与灾害的实际发生频率基本一致;对地震等本地少发灾害影响的认可性不高。2)民众的防震减灾意识薄弱,对地震灾害基本概念了解不足,地震谣言辨识能力差,基本防震减灾技能掌握不全面。3)获取防震减灾知识与技能主要通过新闻媒体和学校。4)民众学习防震减灾知识与技能的意愿强烈。因而,有针对性地开展防震减灾教育和宣传工作,加强地震应急演练,对于提高当地民众的防震减灾技能和灾害意识,减少地震灾害损失具有重要的现实意义。 相似文献
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地震灾情因社会发展而加重--20世纪全球地震灾害综述 总被引:2,自引:1,他引:1
20世纪中国是世界上地震灾害最严重的国家。地震造成的经济损失最严重的是日本,美国,中国居第二,三位。全世界地震灾情有逐世纪加重的趋势。地震减灾研究有两点进展;1.中国有一次成功的临震预报;2.日本抗震建筑有效。全世界的未来地震灾情形势依然严峻。 相似文献
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Indonesia is situated at the juncture of three major tectonic plates:the Eurasian,the Pacific and the Indo-Australian Plates,As a result,many parts of the country are classified as being at a high risk of earthquake and tsunami disasters.In Indonesia,the Bureau of Meteorology and Geophysics(BMG)is the agency responsible for the monitoring of tectonic earthquakes and tsunamis induced by them.For this purpose,BMG operates seismic networks throughout Indonsia.In order to serve better,BMG will have to improve its monitoring system.Many agencies and universities in Indonesia have done research in the field of seismology,including seismotectonics,earthquake hazards,and so on.Joint research has been done with agencies/universities from abroad.Considering the fact that some earthquake prone areas in Indonesia suffer from frequent disasters,a study on earthquake prediction in some areas of interest would contribute to achieving some long-term goals of the Bureau. 相似文献
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合理的地震灾害经济可接受风险水平可以有效管理防灾减灾的投入。基于1991~2020年中国大陆地区地震灾害经济损失数据,利用F-D曲线法(Frequency-Damage curve),建立不同震级(MS<5.0、MS5.0~5.9、MS6.0~6.9和MS≥7.0)和不同灾情等级(微灾、小灾、中灾、大灾和巨灾)的地震灾害经济可接受风险曲线,并以此为标准讨论30年间由地震产生直接经济损失事件的可接受风险等级。研究结果表明:中国大陆地区地震灾害造成0.020亿元直接经济损失的灾损率不超过1.29×10-2/a为可接受经济风险,直接经济损失超过14.763亿元其灾损率为任意值均是不可接受经济风险。由此判断,30年间有18.07%的地震灾害属于不可接受经济风险事件。同理,不同震级和不同灾情等级地震灾害的可接受经济风险水平也被确定,并得到MS<5.0、MS5.0~5.9、MS6.0~6.9和MS 相似文献
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吴微微 《地震地磁观测与研究》2014,(1):92-96
利用西南震害资料,对西南省域(云南、四川、重庆、西藏、贵州)在一定时空尺度上M≥5.0历史地震事件活动水平及震害特征进行系统分析,找出地震灾害(包括人员伤亡、经济损失、次生灾害等)的时间发展特征、空间分布特征和强度分级特征;研究地震灾害与西南区域人口分布、经济水平、地形地貌、人文因素之间的耦合关系,为进一步减轻、减少地震灾害应急处置的不确定性和风险性提供有效建议。 相似文献