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当前预测震后泥石流灾害损的方法所用时间较长,且预测结果误差较大,存在预测效率低和预测准确率低的问题。本文基于GIS技术的震后泥石流灾害损失耦合预测方法,采用GIS技术获取震后泥石流灾害的相关信息,根据获取的信息建立流域水量计算模型、固体物质量计算模型、泥石流起动模型,对泥石流的起动过程进行分析,在财产损失预测模型和人员损失预测模型的基础上构建震后泥石流灾害损失耦合预测模型,实现震后泥石流灾害损失的预测。结果表明:本文所提方法预测效率高、预测准确率高。 相似文献
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以山西G市为例，通过对该市建筑物造价、建筑物室内财产、各乡镇经济收入、县乡企业经济等情况进行的调查，对该市进行了直接和间接经济损失预测，从而给出总经济损失预测结果。在建筑物震害预测的基础上，给出不同破坏烈度下预测区的死亡人数、无家可归人数的预测结果，指出预测未来地震灾害的经济损失和人员伤亡是把握当今社会经济布局和未来灾害损失程度、科学制定防震减灾对策的重要环节之一。 相似文献
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Craig A. Davis 《Pure and Applied Geophysics》2012,169(11):1989-2010
The purpose of using loss functions for earthquake prediction and disaster preparedness is to minimize expected costs when destructive earthquakes occur. This study focuses on developing a greater understanding of the interrelation between earthquake prediction characteristics and economic parameters. Equations for estimating economic losses and optimizing both earthquake prediction and disaster preparedness are presented in different dimensional forms to improve the understanding of parametric relationships between prediction and preparedness. The equations expand upon previously presented loss functions by explicitly considering loss as a function of both time and space and the cost parameters are clearly described to allow for practical application. Derivations reveal the close relationship between the loss function in terms of earthquake prediction characteristics and the benefit-cost analysis commonly used for disaster preparedness. An optimal preparedness scheme is presented based on a concept of unpreventable damage in extreme events and is shown to be a function of the level of damage prevented by taking action in response to an earthquake prediction. The formulations show that alarm durations are optimal relative to the type and time to implement different actions and the alarm area is optimal relative to the potential earthquake size and related geohazards. The presentation shows that earthquake prediction need not be constrained at a point in space to be useful for disaster preparedness and that mitigation activity is more economically feasible the smaller the area of prediction is with respect to the potential earthquake source size. Examples are used to show how loss functions can be utilized to determine if an algorithm may be useful to implement into practice and how earthquake prediction strategies can be implemented in coordination with other risk reduction strategies to make cost effective mitigations. Optimized earthquake prediction algorithms will greatly aid disaster managers and decision makers in their preparations once a prediction is made. The loss functions help to develop a greater understanding between earthquake prediction research and disaster preparedness implementation, allowing for future improvements in earthquake disaster prevention. 相似文献
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利用多层砌体房屋震害预测专家系统,对山东潍坊地区１８２栋多层砖房逐栋进行了单体房屋的震害预测,在此基础上,统计分析了该地区多层砖房的地震易损性特征,并进行了初步震害预测研究,给出了该类房屋的易损性矩阵,各破坏等级的损失参数矩阵和对应不同地震烈度的相对损失预测,为进一步开展震害预测和采取地对性的防震减灾对策提供了科学依据。 相似文献
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城市典型建筑的地震损失预测方法Ⅰ: 结构易损性分析 总被引：2，自引：1，他引：1
地震作用下结构的易损性分析是地震灾害损失预测方法的重要组成部分。本文针对多层砌体房屋结构、排架结构和多层钢筋混凝土结构等3种城市典型建筑,首先给出了该类单体建筑的地震结构易损性分析方法,然后对群体建筑的地震易损性分析方法,以及群体建筑的易损性分类方法进行了探讨,为城市典型建筑的地震灾害损失预测和评估提供参考,并为宁波市抗震防灾规划的地震损失预测提供基础。 相似文献
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地震作用下结构的易损性分析是地震灾害损失预测方法的重要组成部分。本文针对多层砌体房屋结构、排架结构和多层钢筋混凝土结构等3种城市典型建筑，首先给出了该类单体建筑的地震结构易损性分析方法，然后对群体建筑的地震易损性分析方法，以及群体建筑的易损性分类方法进行了探讨，为城市典型建筑的地震灾害损失预测和评估提供参考，并为宁波市抗震防灾规划的地震损失预测提供基础。 相似文献
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本文立足于我国地震预报的实践及当前地震预报的科学水平,提出了推进我国地震预报进步的几点建议：①继续坚持并强化现行地震预报管理体制,不断改进经验性和统计预报的方法,努力作好震情监测预报工作,为防震减灾再做出一些有减灾实效的预报。②制订中国地震监测预报中长期科学发展规划,努力提高我国地震预报研究的科学水平。③探索地震动力(物理)预报的途径。④培养一流的地震预报科技人才,开展地震预报的国际合作研究。 相似文献
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震后企业停产减产损失估计方法的研究 总被引：2，自引：0，他引：2
企业停产减产损失是地震间接损失的重要组成部分，本文根据唐山地震的震害资料，提出了地震破坏后一个地区或城市因停产和减产而造成的经济损失的一个估计方法，为估计地城的时间损失提供了一个可行的途径，此法广泛适用于震后经济损失估计和震害预测工作。 相似文献
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综合异常指数的进一步研究与应用 总被引：2，自引：0，他引：2
从指数分布函数出发对于基于多种地震前兆异常的综合异常指数进行了较为深入的探讨, 综合异常指数具有直接的数学来源, 蕴涵着明确的物理意义:将失效分布函数中的失效率分段取值, 并与地震研究中某种预测手段或方法所处的状态联系起来, 即取为某种预测手段或方法在某研究考察时段内的异常隶属度, 产品的失效则意味着该预测手段或方法出现了异常,得到异常指数;对其进行加权, 得到单项异常指数;对单项异常指数进行综合后即得到综合异常指数。综合异常指数包含了所研究的所有观测手段或方法所蕴涵的地震信息。最后将其具体应用于宁夏震情监视区, 进行了预测检验。发现对于1970 年后发生在宁夏及邻区的9 次中强地震事件, 综合异常指数均有较好的对应。 相似文献
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空间格网数据相比于矢量数据具有运算速度快、处理简单的特点,适合地震灾害损失震前预测或震后快速评估。但地震损失评估涉及地震危险性及人口、房屋建筑及其地震易损性等不同类型数据在全国范围内的千米格网分布,数据量大,数据变化时形成新的格网数据的工作量较大,使用常规震害预测算法会影响评估效率。依据地震损失评估原理,采取前置确定性损失评估策略和算法优化,结合GIS功能设计并编程实现了具有风险评估相关数据千米格网化处理、地震损失预测与震后快速评估等核心功能的软件系统。利用该系统进行了2016～2025年中国大陆千米格网地震损失预测,结果表明评估效率显著提高,该系统为我国新一代地震重点监视防御区的确定提供了实用化的震害损失预测工具,同时,在地震损失快速评估中亦得到较好应用。 相似文献
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本文简要介绍了全国地震重点监视防御区之一的四川省中西部地区的社会经济、自然地理、地震地质、地震活动及未来地震危险性概况，给出了防御区内冕宁、宁南、普格、石棉、沪定、康定等六县城乡开展的房屋建筑，生命线工程（公路、供电、供水工程）震害预测，次生灾害分析预测、地震造成伤亡人数估计和直接经济损失预测等的预测方法和预测结果。由于四川过去尚未开展过这类工作，本文将上述成果汇总、整理发表，可供同行讨论和有关方面参考。 相似文献
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Cheng Kuei-Hsiang 《中国地震研究》2001,15(3):311-320
INTRODUCTIONSeveMmethdsdPOtential analyslsfor medium－and short－termpredlctlon dl’l;lln shocks weredevelopedbaseduponthe pnnclpledInaccufatemeasurementoffOCfOCustheoryaMthepattemdmainshocks．These analytic methods can be used to predict strong earthop拙es In shallow layers on thesubducting plate boundeq In squeezed zones．More than a half of strong earthquakes In the world。located inthe shallow depth tthe suMuctingplate boundw In s仰eezed zones．This paPerfirst Statesthe philoso… 相似文献
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建筑结构在地震中的损坏程度是人员伤亡和经济损失预测的基础,也是城市地震经济损失的主要组成部分。本文结合某中等城市市区六种典型建筑在地震作用下的受力特点和破坏机理,分别采用了相应的易损性分析方法,建立了市区震害矩阵。预测结果真实可靠,为进一步进行抗震规划和统计震害损失提供依据。 相似文献
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地震灾害造成的损失随社会发展而加重。经济迅速发展的我国新世纪防震减灾应采取新措施；需要提高地震设防标准，鼓励部分建筑先坚固起来，使我国建设的抗震能力在几十年内逐步达到国际先进水平；应在全国范围内抑制虚报，科学地确定地震预报的震级下限,通过清理地震预报方法提高报准率，从总体上提高地震预报效益；应重视震时应急行动的研究；应加强企业的防震减灾工作，并通过立法加以落实。 相似文献
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Seismic piezocone (SCPTu) data compiled from 86 sites in the greater Christchurch, New Zealand area are used to evaluate several existing empirical correlations for predicting shear wave velocity from cone penetration test (CPT) data. It is shown that all the considered prediction models are biased towards overestimation of the shear wave velocity of the Christchurch soil deposits, demonstrating the need for a Christchurch-specific shear wave velocity prediction model (McGann et al., 2014) [1]. It is hypothesized that the unique depositional environment of the considered soils and the potential loss of soil ageing effects brought about by the 2010–2011 Canterbury earthquake sequence are the primary source of the observed prediction bias. 相似文献
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The prediction of wind erosion and dust emissions is important for controlling erosion and identifying dust sources in arid and semiarid regions of the world. This study predicts quantitatively wind erosion and dust emissions in Xinjiang Province, central Asia. The wind erosion prediction system (WEPS) was used to simulate annual soil and PM10 (particulate matter ≤10 μm in aerodynamic diameter) loss at 64 meteorological stations across the province. Soil and PM10 loss were simulated from bare surfaces at all 64 stations and from cotton and wheat fields at 11 stations. Simulated annual bare soil and PM10 loss were lowest in the Junggar (soil and PM10 loss were, respectively, 121.7 and 7.6 kg m-2) and Tarim basins (soil loss was 78.2 kg ha-1 and PM10 loss was 6.5 kg m-2) and highest in the Tu-ha Basin (soil and PM10 loss were, respectively, 638.2 and 37.7 kg m-2). Stations with the highest annual soil loss in the Tarim and Tu-ha basins also had the highest number of days with wind speeds >8 m s-1. This indicated wind influenced erosion, but other factors such as soil type also affect wind erosion. The maximum monthly bare soil and PM10 loss occurred in May in the three basins, substantiating that dust storms occur most frequently during spring in the region. Simulated soil and PM10 loss were lower for cotton and wheat than bare soil, thus suggesting that maintaining vegetative cover during a portion of the year provided some protection to the soil surface from wind erosion. © 2018 John Wiley & Sons, Ltd. 相似文献