遥感图象自动识别城市震害房屋-以2001年印度库奇地震和1976年唐山地震为例

近断层地震动对地表结构物造成严重的破坏，它具有明显的方向性和脉冲型特征. 在速度时程中含有大幅值、长周期的脉冲波，对结构响应影响很大. 为简化计算和分析的需要，在既有的等效速度脉冲模型的基础上，建议了较为合理等效速度脉冲模型. 在充分收集脉冲型近断层地震记录的基础上，对等效速度脉冲模型的脉冲周期、脉冲强度及卓越脉冲数等参数进行了研究，并与以往研究者的结果进行比较，以利于近断层区结构的抗震设计.      

基于高分辨率合成孔径雷达影像建筑物成像几何结构的震害特征分析

传统的利用震后单幅合成孔径雷达(SAR)影像对建筑物的震害特征分析大多基于街区范围, 很少基于其成像几何结构． 本文基于高分辨率SAR影像上的建筑物成像几何结构, 分析了建筑物单体的震害特点, 建立了利用距离向线性灰度累加的方法提取规则未倒塌建筑物的叠掩区和阴影区及倒塌建筑物的倒塌区, 并在此基础上进行各几何特征区域的纹理特征, 如同质度、 不相似度和熵的计算及其组合特征分析, 由此建立了基于SAR影像建筑物成像几何结构的震害分析方法． 采用该方法对2010年玉树M_S7.1地震震后玉树县城区的高分辨率SAR影像进行分析, 结果表明: 叠掩、 阴影和二次散射亮线是进行建筑物震害解译的有效几何结构特征, 其中叠掩区和阴影区的影像纹理特征具有较好的震害识别能力; 与传统的简单特征统计方法相比, 考虑建筑物SAR影像成像几何结构的特征统计法, 可以显著提高建筑物的震害识别能力.      

地震现场灾情信息反馈途径和集成软件

在破坏性地震作用下,可导致人员伤亡、建筑物及基础设施破坏、财产损失、社会与经济秩序的混乱及生产系统停止运行等,现场灾情信息是地震现场应急指挥决策的重要依据,迅速、全面对这些信息进行采集与集成是非常重要的。分析了当前地震应急指挥技术系统建设中在该方面存在的一些问题,阐述了地震现场灾情信息分类,同时就其收集反馈途径和集成技术实现进行了研究,并以青岛市地震应急指挥决策软件系统为例,说明了该方法的实用性。     

东部地区地震人员伤亡评估方法研究

我国是地震多发的国家之一,其中破坏性地震的发生频率也相对较高.伴随着我国经济的高速发展与城市化进程的加快,地震风险意识的提高以及国家对地震应急救援能力的更高要求都促进了对地震灾害评估方法的研究.其中地震人员伤亡评估方法更是灾情预测的重中之重,然而我国大部分历史地震都发生在西部,已有的地震人员伤亡评估方法也是基于西部历史...     

2021年青海玛多7.4级地震典型建筑震害对比及讨论

青海玛多7.4级地震发生后,本文作者随科考队开展了典型工程的震害调查。本文报道了黄河乡江旁村和昌马河工区这2个典型调查点的建筑震害情况。调查表明:邻近微观震中的黄河乡建筑震害程度相对较轻,主要表现为部分房屋落瓦,砖混结构少数承重墙及框架结构部分隔墙开裂,土木结构房屋部分严重破坏,部分围墙倒塌;而距微观震中以东85 km的昌马河工区建筑震害则相对较重:无抗震措施的砖木结构房屋全部严重破坏或倒塌,具备合理抗震措施的砖混结构基本完好或轻微破坏,在建轻钢厂房均钢柱倾斜、维护墙明显开裂并且围墙多数倒塌。调查分析表明:造成两地震害差异的主要原因为抗震措施差异以及地表破裂和砂土液化影响:黄河乡多数房屋具备合理抗震措施,昌马河工区多数民居缺少抗震措施;昌马河工区附近发现疑似地表破裂痕迹,而紧邻黄河乡的河岸发现砂土液化迹象。这表明昌马河工区的地震作用中类似近场的高频能量可能较多,而黄河乡地区则因砂土液化使得高频地震动作用有所降低,由此造成两地震害程度与震中距呈现反差关系。     

Nonlinear soil response as a natural passive isolation mechanism-the 1994 Northridge, California, earthquake

The spatial relationship between areas with severely damaged (red-tagged) buildings and areas with large strains in the soil (indicated by reported breaks in the water distribution system), observed during the 1994 Northridge earthquake, is analysed. It is shown that these areas can be separated almost everywhere. Minimal overlapping is observed only in the regions with very large amplitudes of shaking (peak ground velocity exceeding about 150 cm s⁻¹). One explanation for this remarkable separation is that the buildings on ‘soft’ soils, which experienced nonlinear strain levels, were damaged to a lesser degree, possibly because the soil absorbed a significant portion of the incident seismic wave energy. As a result, the total number of severely damaged (red-tagged) buildings in San Fernando Valley, Los Angeles and Santa Monica may have been reduced by a factor of two or more. This interpretation is consistent with the recorded peak accelerations of strong motion in the same area. It is concluded that significant reduction in the potential damage to wood frame single family dwellings may be expected in areas where the soil experiences ‘large’ strains (beyond the linear range) during strong earthquake shaking, but not significant differential motions, settlement or lateral spreading, near the surface.     

基于中分辨率遥感影像的居民区震害信息提取

针对中分辨率遥感影像建筑物震害信息弱以及变化检测法受非震害信息影响大等弱点, 本文建立了一种基于变化检测的居民区震害信息快速提取方法. 该方法利用主成分变换增强震害信息, 采用监督分类法提取似居民区, 并用灯光影像数据进一步对似居民区提取结果进行优化, 从而很好地消除了变化检测方法中非震害因素的影响. 在此基础上, 以2001年印度M_W7.6地震的极重灾区为研究区域, 利用震前、 震后Landsat卫星TM图像和震区灯光影像数据, 对本文算法进行了验证和分析. 结果表明, 在30—50 m中分辨率遥感影像上, 以建筑物为主的居民区震后图像变化最为显著的震害特征是反射率变大, 本文所建立的居民区震害信息提取方法在解决中分辨率遥感影像震害目标信息弱、 背景复杂等方面效果明显.      

地震后机载LiDAR点云的地物区分方法研究

利用机载激光雷达扫描（Light Detection and Ranging,LiDAR）技术所得点云进行震后倒塌建筑物提取时,树木与倒塌建筑物的点云特征十分相似,较难区分。为了快速准确获取震后房屋建筑物的受损情况,本文提出使用回波次数比特征指标,结合前人所提出的点云回波强度、归一化强度、最邻近点高差、法向量夹角、X向坡角和Y向坡角等特征的均值和标准差,利用K-最近邻分类法实现单体地物区分的方法。对2010年海地7.0地震震后机载LiDAR数据进行了地面点去除,分别选取了未倒塌建筑物、倒塌建筑物和树木各50个训练样本和各20个测试样本,计算了各因子的分布及其均值和标准差,在分析的基础上最终选取了可分性较强的8个分类特征,利用K-最近邻分类法对测试样本进行了分类,结果显示分类正确率可达85%以上。研究表明选取多个有效的LiDAR点云分类特征可以较好地区分震后未倒塌建筑物、倒塌建筑物和树木,提高震后建筑物震害程度判定的准确性,为应急救援及时提供较为准确的灾情信息支持。     

Performance of masonry buildings during the Emilia 2012 earthquake

The earthquake sequence started on May \(20\) th 2012 in Emilia (Italy) affected a region where masonry constructions represent a large part of the existing building stock and the construction of new modern masonry buildings is a common practice. The paper is focused on the performance of common architectural configurations, typical for residential or business use. The large majority of old masonry buildings is made of fired clay bricks. The seismic performance of these buildings is particularly interesting since major past earthquakes in Italy affected areas with mainly stone masonry structures. Apart from examples showing systematic or peculiar structural deficiencies governing the vulnerability of several buildings, the overall seismic performance of these structures to repeated shaking, with PGA as large as 0.25–0.3 g was rather good, despite the major part of them were only conceived for carrying vertical loads. In fact, seismic design is mandatory in the area only since 2003. Modern low-rise masonry buildings erected after this date and incorporating seismic design and proper detailing resulted in most cases practically undamaged. The examples reported in the paper allow an evaluation of the superior performance of seismically designed modern masonry buildings in comparison to older ones.     

汶川地震中都江堰市的房屋震害

对汶川地震中都江堰市1 005栋房屋的现场震害调查资料进行了统计分析。分析表明,经抗震设计的房屋的震害明显低于未经抗震设计的房屋,前者实现了预期的抗震设防目标;在经抗震设计房屋中,钢筋混凝土框架结构房屋的震害相对较轻,底框架砌体结构房屋和砌体结构房屋次之;中高层建筑和低层建筑的震害比多层建筑轻;学校、医院等公用建筑的损坏与住宅建筑相比较重。     

STUDY ON THE MRF-BASED METHOD FOR DAMAGED BUILDINGS EXTRACTION FROM THE SINGLE-PHASE SEISMIC IMAGE

Earthquake events are one of the most extraordinarily serious natural calamities, which not only cause heavy casualties and economic losses, but also various secondary disasters. Such events are devastating, and have far-reaching influences. As the main disaster bearing body in earthquake, buildings are often seriously damaged, thus it can be used as an important reference for earthquake damage assessment. Identifying damaged buildings from post-earthquake images quickly and accurately is of real importance, which has guidance meaning to rescue and emergency response. At present, the assessment of earthquake damage is mainly through artificial field investigation, which is time-consuming and cannot meet the urgent requirements of rapid emergency response. Markov Random Field(MRF)combines the neighborhood system of pixels with the prior distribution model to effectively describe the dependence between spatial pixels and pixels, so as to obtain more accurate segmentation results. The support vector machine(SVM)model is a simple and clear mathematical model which has a solid theoretical basis; in addition, it also has unique advantages in solving small sample, nonlinear and high-dimensional pattern recognition problems. Thus, in this paper, a Markov random field-based method for damaged buildings extraction from the single-phase seismic image is proposed. The framework of the proposed method has three components. Firstly, Markov Random Field was used to segment the image; then, the spectral and texture features of the post-earthquake damaged building area are extracted. After that, Support Vector Machine was used to extract the damaged buildings according to the extracted features. In order to evaluate the proposed method, 5 areas in ADS40 earthquake remote sensing image were selected as experimental data, this image covers parts of Wenchuan City, Sichuan Province, where an earthquake had struck in 2008. And in order to verify the applicability of this method to different resolution images, an experimental area was selected from different resolution images obtained by the same equipment. The experimental results show that the proposed method has good performance and could effectively identify the damaged buildings after the earthquake. The average overall accuracy of the selected experimental areas is 93.02%. Compared with the result extracted by the widely used eCognition software, the proposed method is simpler in operation and can improve the extraction accuracy and running time significantly. Therefore, it has significant meaning for both emergency rescue work and accurate disaster information providing after earthquake.     

Estimation of strong motion distribution in the 1995 Kobe earthquake based on building damage data

The 1995 Kobe earthquake caused unprecedented damage to buildings and civil infrastructures in the city of Kobe and its surrounding areas. In order to evaluate the structural damage in this area due to the earthquake, it is important to estimate the distribution of earthquake ground motion. However, since the number of strong ground motion records is not enough in the heavily damaged areas, it is necessary to estimate the distribution using other data sources. In this paper, the fragility curves for low‐rise residential buildings were constructed using the recorded motions and the building damage data from the intensive field survey by the AIJ and CPIJ group. The fragility curves obtained were then employed to estimate the strong motion distribution in the district level for Kobe and the surrounding areas during the earthquake. The results may be useful to investigate the various damages caused by the earthquake. Copyright © 2001 John Wiley & Sons, Ltd.     

Speedup of post earthquake community recovery: the case of precast industrial buildings after the Emilia 2012 earthquake

The Emilia, May–July 2012, earthquake hit a highly industrialized area, where some tens thousands industrial buldings, mainly single storey precast structures, are located. Due to the likelihood of strong after shocks and the high vulnerability of these structures, the authorities first asked for a generalized seismic retrofit after the strong shakings of May 20th. In order to accelerate community recovery, this requirement was later loosened, leaving out the buildings which had undergone a strong enough shaking without any damage; the strong enough shaking was defined with reference to the ultimate limit state design earthquake. To the authors’ knowledge, it is the first time that the information on the earthquake intensity and structural damage is used for such a large scale post earthquake simplified safety assessment. In short, the earthquake was used as large experimental test. This paper shows the details of the models and computations made to identify the industrial buildings which have been considered earthquake tested and therefore not compelled to mandatory seismic retrofit. Since earthquake indirect (e.g. due to economic halt) costs may be as large the direct ones, or even larger, it is believed that this method may considerably lower the earthquake total costs and speed up the social and economic recovery of a community.     

The Global Earthquake Vulnerability Estimation System (GEVES): an approach for earthquake risk assessment for insurance applications

For the insurance and reinsurance industries, earthquake loss estimation is crucial not only to adequately price its product but also to manage the accumulation risk in the face of the ever-increasing exposure in highly seismic regions. Changes in the built environment and a continuously evolving earthquake science make it a necessity for the industry to constantly refine earthquake loss estimation models. In particular, it has been recognized for a long time that the vulnerability of buildings to ground shaking is a key parameter in any earthquake risk model. Current methods tend either to rely on the limited historical damage and loss data or on the numerical simulation of the response of individual buildings to the ground-shaking produced by earthquakes. Although both methods have their advantages and pitfalls, we are proposing here a simple solution, using transparent input data, that can be realistically used for the needs of the insurance and reinsurance industry, whether detailed information about the insured structures is available or not. The resulting product is known as GEVES (Global Earthquake Vulnerability Estimation System). It is primarily intended for evaluating the mean damage ratio (MDR) suffered by a portfolio of buildings classified by use, under the action of a given earthquake scenario (i.e. an earthquake of given size at a given distance from the portfolio of buildings). A key assumption was that macroseismic intensity rather than spectral displacement would be the basis of loss estimation. The paper describes the model with emphasis on its structure and the justification for the assumptions made. In addition to a new set of earthquake vulnerability functions, the paper also provides recommendations on some aspects of the earthquake hazard, in particular about how to define macroseismic intensity at the site of interest, for a given earthquake scenario. This paper also discusses validation of the GEVES model against calculated vulnerability approaches, and the treatment of uncertainty within the model.     

Northridge, California, earthquake of 1994: density of red-tagged buildings versus peak horizontal velocity and intensity of shaking

The 1994 Northridge earthquake occurred underneath a densely populated metropolitan area, and was recorded by over 200 strong motion stations in the metropolitan area and vicinity. This rare coincidence made it an ideal case to study, in statistical sense, the correlation of damage to structures with the level of strong shaking, in particular with respect to (1) instrumental characteristics of shaking and (2) the reported site intensity scale. In this paper, statistics for the incidence of red-tagged building in 1 × 1 km² blocks in San Fernando Valley and Los Angeles is presented and analyzed, as function of the observed peak ground velocity or the local intensity of shaking. The ‘observed’ peak velocity is estimated from contour maps based on the recorded strong motion. The intensity of shaking is estimated from the published intensity map and from our modification of this map to make it more consistent with observed high damage to buildings in some localized areas. Finally, empirical scaling equations are derived which predict the average density of red-tagged buildings (per km²) as a function of peak ground velocity or site intensity of shaking. These scaling equations are specific to the region studied, and apply to Wooden Frame Construction, typical of post World War II period, which is the prevailing building type in the sample studied. These can be used to predict the density of red-tagged buildings per km² in San Fernando Valley and in Los Angeles for a scenario earthquake or for an ensemble of earthquakes during specified exposure, within the framework of probabilistic seismic hazard analysis. Such predictions will be useful to government officials for emergency planning, to the insurance industry for realistic assessment of insured losses, and to structural engineers for assessment of the overall performance of this type of buildings.     

钢筋混凝土桥墩震后修复技术研究综述

介绍了近几次破坏性地震中钢筋混凝土桥墩的典型震害,总结了国内外利用FRP材料、钢套管、狗骨式杆等新型建筑材料对发生弯曲破坏、剪切破坏、纵筋搭接破坏以及空心截面桥墩的震后修复技术.研究表明,采用合适的修复方案,可以对地震损坏的桥墩进行成功修复,使其承载力和延性得到较好的恢复.文中提到的桥墩震后修复方案可为地震、火灾、爆炸以及腐蚀老化后遭受损坏的钢筋混凝土结构的修复提供参考.     

Nonlinear soil response as a natural passive isolation mechanism. Paper II. The 1933, Long Beach, California earthquake

The areas that experienced large strains and differential motions in the soil (indicated by breaks in the water and gas pipe distribution systems) and the areas with severely damaged buildings showed remarkable separation during the March 10, 1933, Long Beach, California earthquake. With analogous results for the 1994 Northridge, California earthquake [Soil Dynam. Earthquake Engng. 17 (1998) 41], the observations summarized in this paper show the fallacy of simplistic and popular interpretations, such as those that hold that in the near field the damage to buildings is caused by ‘soft’ or ‘bad ground’ conditions. In fact, significant reduction in the potential damage to buildings may be expected in the areas where the soil experiences ‘moderate to large’ strains.     

基于相关变化检测与面向对象分类技术的 多源遥感图像震害信息提取

遥感图像面向对象分类作为空间信息提取的关键技术, 在震害信息提取方面发挥着非常重要的作用, 然而由于光学遥感影像是正射图像, 只能提取建筑物屋顶信息, 这使得单一利用震后光学影像进行震害信息提取存在一定的局限性. 针对该问题, 本文提出了一种基于合成孔径雷达(SAR)相关变化检测的光学影像震害建筑物面向对象提取方法, 即在光学影像面向对象提取的数据中融合SAR相关性, 对光学影像进行面向对象提取震害建筑物时不仅考虑建筑物的几何、 光谱等特征, 还加入震前震后变化信息即SAR相关性进行分类. 在此基础上, 选取2008年汶川M_S8.0地震震区都江堰地区作为研究区进行试验. 结果表明, 本文提出的方法相对于单一使用光学影像进行震害建筑物提取, 其准确度有较明显的提高.      

A fast approach to regional earthquake hazard evaluation based on population statistical data

In the prediction process of large-scale earthquake damage occurred in urban and rural regions,new models and approaches,which are different from traditional ones,should be adopted to rapidly predict earthquake damage. This article utilizes sampled population and buildings data that is easily available from the statistical database to conduct vulnerability analysis of buildings on the basis of earthquake damage of existing urban buildings in an analogical way,so as to provide a relation model between population data and disaster losses. In virtue of this model,the average vulnerability matrix of buildings of different structures in Fujian Province is established,the matrix adjustment coefficient of different decades is developed in accordance with the economic conditions,and the rapid evaluation system is set up as well. The result shows: this evaluation model,based on the population statistical data has merits as small investment,automatic data prediction,regular updates,as well as the advantage of easy accessibility.     

建筑物地震保险的若干问题

将商业保险引入建筑物防震减灾是减少地震损失的一种有效经济手段。对建筑物地震保险进行讨论,对地震保险的形式、承保—理赔机制、保险基金等主要问题作了详细的阐述,建议将年震害期望损失比作为纯费率厘定的主要原则,同时以未来一段时间内的最大期望损失率估算地震保险基金的规模。