基于大数据的地震损失价值评估模型设计          下载免费PDF全文

张加庆 《地震工程学报》2018,40(2):356-362

破坏性地震往往导致严重的经济损失及人员伤亡,对地震损失价值评价有助于震前找出抗震弱点,提高抗震能力,实现减轻地震灾害损失的目的。传统空间模型在地震数据处理过程中,无法处理大数据对空间尺度选择的干扰,存在地震损失评估结果偏差大以及波动性高的弊端。因此,在云计算平台下,提出基于大数据的地震损失价值评估模型设计,对模型HAZ-China大数据的服务层次、地震应用服务层以及HAZ-China大数据体系结构进行设计,为用户提供震前、震时以及震后的地震损失价值评估服务。模型采用HBase分布式数据库实现大数据的存储和分析,设计房屋震害数据库以及云计算模型,通过考虑大数据因素的地震灾害损失综合评估过程,实现地震损失价值的准确评估。实验结果说明,所设计模型可实现地震损失价值的准确评估,具有较高的评估精度和稳定性。  相似文献   

关于地震科学实验场的一些思考——地下云图     

陈颙  徐逸鹤  蔡辉腾  李稳 《中国地震》2018,34(2):165-171

由中国地震局和美国国家科学基金委、地质调查局合作建立的地震预报研究实验场为中国早期地震工作的发展起到了良好的推动作用。由于种种客观原因,地震预报实验场的多数预想目标未能达成,发展受到了阻碍。最近几年,实验场重新受到重视,并更名为"地震科学实验场"。结合目前地震学发展的前沿和防震减灾事业的实际需求,本文提出增加"地下云图"作为实验场的新方向。利用高重复性、环境友好、安全性高的气枪震源,持续激发地震信号,实现对地下介质速度变化的连续监测;结合背景噪声成像获得的高分辨率3维地壳结构,构建4维(三维空间+一维时间)地下结构成像。"地下云图"可以反映地下速度和应力变化,为全国范围的地震监测预测提供新的业务手段,推动地震预测从经验预测到物理预测的转换。  相似文献   

地震台智能电源Android平台控制系统     

石磊  刘静  李凤  尹宏伟 《地震地磁观测与研究》2018,39(3):218-222

针对无人值守地震台因供电故障造成的观测数据质量问题,现阶段GPRS在地震台站的应用大多以手机短信呈现,无良好的可视化操作界面,设计开发一种底层基于STM32单片机,以GPRS为数据传输方式,Android手机APP为监控界面的智能电源控制系统。通过在河北省地震局石家庄中心台下属的深州郭家庄地震台进行应用,证明该电源控制系统能够保证观测设备的稳定运行,并为设备维护提供了保障和依据。  相似文献   

国家地震应急救援物资综合管理平台建设   总被引：1，自引：0，他引：1  

蔺冲  李盛乐  李志雄  李立  高博伟  丁璐 《地震地磁观测与研究》2018,39(2):186-196

针对目前中国地震应急救援物资管理中办法互有差异、系统各有不同,信息化和标准化程度较低,难以统计物资储备的现状,且不易在震后应急救援中对物资进行快速合理地调度等问题,提出数据资源化、业务标准化和服务智能化的解决方案,以此研究并建设面向全国各地震应急救援物资管理单位,统一化的服务于地震应急救援保障与决策的物资信息综合管理平台。该平台已在中国地震应急搜救中心上线,运行结果表明,有效提升了地震应急救援物资综合管理、使用和分析的水平,可解决目前存在的问题,对地震应急救援保障与决策具有重要意义。关键词地震应急;应急救援物资;管理平台  相似文献   

地震异构云管理平台的技术架构设计     

郭凯  姜立新  刘晓雨  班世敏 《中国地震》2020,36(1):153-161

基于Open Stack的开源标准体系,结合中国地震台网中心和中国地震局第二监测中心的云基础设施现状,设计两级云管理架构,以异构云管理平台作为综合管理平台,纳管区域云管理平台,以统一门户的方式对地震行业云计算资源进行统一管理;通过容器化部署异构云管理平台,初步实现对地震行业云计算资源的统一监控和运行管理。  相似文献   

Using visibility analysis to improve point density and processing time of SfM-MVS techniques for 3D reconstruction of landforms     

Álvaro Gómez-Gutiérrez  Trent Biggs  Napoleon Gudino-Elizondo  Paz Errea  Esteban Alonso-González  Estela Nadal Romero  José Juan de Sanjosé Blasco 《地球表面变化过程与地形》2020,45(11):2524-2539

Image network geometry, including the number and orientation of images, impacts the error, coverage, and processing time of 3D terrain mapping performed using structure-from-motion and multiview-stereo (SfM-MVS). Few studies have quantified trade-offs in error and processing time or ways to optimize image acquisition in diverse topographic conditions. Here, we determine suitable camera locations for image acquisition by minimizing the occlusion produced by topography. Viewshed analysis is used to select the suitable images, which requires a preliminary digital elevation model (DEM), potential camera locations, and sensor parameters. One aerial and two ground-based image collections were used to analyse differences between SfM-MVS models produced using: (1) all available images (ALL); (2) images selected using conventional methods (CON); and (3) images selected using the viewshed analysis (VIEW). The resulting models were compared with benchmark point clouds acquired by a terrestrial laser scanner (TLS) and TLS-derived DEMs. The VIEW datasets produced denser point clouds (28–32% more points) and DEMs with up to 66% reduction in error compared with CON datasets due to reduction of gaps in the DEM. VIEW datasets reduced processing time by 37–76% compared with ALL, with no reduction in coverage or increase in error. DEMs produced with ALL and VIEW datasets had similar slope and roughness, while slight differences that may be locally important were observed for the CON dataset. The new method helps optimize SfM-MVS image collection strategies that significantly reduce the number of images required with minimal loss in coverage or accuracy over complex surfaces. © 2020 John Wiley & Sons, Ltd.  相似文献   

Seismic reliability assessment and the nonergodicity in the modelling parameter uncertainties     

Fatemeh Jalayer  Hossein Ebrahimian 《地震工程与结构动力学》2020,49(5):434-457

Modelling uncertainty can significantly affect the structural seismic reliability assessment. However, the limit state excursion due to this type of uncertainty may not be described by a Poisson process as it lacks renewal properties with the occurrence of each earthquake event. Furthermore, considering uncertainties related to ground motion representation by employing recorded ground motions together with modelling uncertainties is not a trivial task. Robust fragility assessment, proposed previously by the authors, employs the structural response to recorded ground motion as data in order to update prescribed seismic fragility models. Robust fragility can be extremely efficient for considering also the structural modelling uncertainties by creating a dataset of one-to-one assignments of structural model realizations and as-recorded ground motions. This can reduce the computational effort by more than 1 order of magnitude. However, it should be kept in mind that the fragility concept itself is based on the underlying assumption of Poisson-type renewal. Using the concept of updated robust reliability, considering both the uncertainty in ground motion representation based on as-recorded ground motion and non ergodic modelling uncertainties, the error introduced through structural reliability assessment by using the robust fragility is quantified. It is shown through specific application to an existing RC frame that this error is quite small when the product of the time interval and the standard deviation of failure rate is small and is on the conservative side.  相似文献   

Monitoring soil surface roughness under growing winter wheat with low-altitude UAV sensing: Potential and limitations     

Nils Onnen  Anette Eltner  Goswin Heckrath  Kristof Van Oost 《地球表面变化过程与地形》2020,45(14):3747-3759

Soil surface roughness (SSR) is an important factor in controlling sediment and runoff generation, influencing directly a wide spectrum of erosion parameters. SSR is highly variable in time and space under natural conditions, and characterizing SSR to improve the parameterization of hydrological and erosion models has proved challenging. Our study uses recent technological and algorithmic developments in capturing and processing close aerial sensing data to evaluate how high-resolution imagery can assist the temporally and spatially explicit monitoring of SSR. We evaluated the evolution of SSR under natural rainfall and growing vegetation conditions on two arable fields in Denmark. Unmanned aerial vehicle (UAV) photogrammetry was used to monitor small field plots over 7 months after seeding of winter wheat following conventional and reduced tillage treatments. Field campaigns were conducted at least once a month from October until April, resulting in nine time steps of data acquisition. Structure from motion photogrammetry was used to derive high-resolution point clouds with an average ground sampling distance of 2.7 mm and a mean ground control point accuracy of 1.8 mm. A comprehensive workflow was developed to process the point clouds, including the detection of vegetation and the removal of vegetation-induced point cloud noise. Rasterized and filtered point clouds were then used to determine SSR geostatistically as the standard deviation of height, applying different kernel sizes and using semivariograms. The results showed an influence of kernel size on roughness, with a value range of 0.2–1 cm of average height deviation during the monitoring period. Semivariograms showed a measurable decrease in sill variance and an increase in range over time. This research demonstrated multiple challenges to measuring SSR with UAV under natural conditions with increasing vegetation cover. The proposed workflow represents a step forward in tackling those challenges and provides a knowledge base for future research. © 2020 John Wiley & Sons, Ltd.  相似文献   

基于可视化遥感的地震大区域灾情收集系统          下载免费PDF全文

李建  韩立 《地震工程学报》2019,41(2):520-525,538

地震现场与一般灾害现场不同,其受灾区域较大,常规的基于遥感信息进行灾情收集时,采集信息零散混乱无法形成可视化直观分析结果。为解决该问题,设计基于可视化遥感技术的地震大区域灾情收集系统,利用遥感信息采集大区域的优势,配合设计网络通信层、数据收集层、数据库层、GIS遥感平台层和应用层组成的系统硬件,采用GIS三维重构技术,对灾情进行可视化呈现。实验结果说明,系统最长响应时间为1.857 s,最大CPU占用率和消耗分别是80.8%和1 656 MB,信息可视化重现程度高。  相似文献   

地震应急微直播信息平台技术及应用     

崔满丰  项楠 《地震地磁观测与研究》2019,41(1):142-147

为了提高地震应急信息发布效率,解决传统地震应急信息服务不能满足当前需要的问题,基于地震网站内容管理信息系统,以地震信息数据为基础,根据信息类别和属性对Java easysite平台进行技术开发,设计了地震信息直播、地震参数、震区背景等核心功能模块。通过自动获取地震数据库信息系统,实现了平台各个功能模块信息的快速发布。该应用已被布置在中国地震局网站平台上,实现了地震应急信息平台的智能管理,进一步保证了地震应急信息的发布。  相似文献