基于震灾图像维度分析下景观带毁损程度评估的探讨
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摘要
地震灾害是所有自然灾害中破坏程度最为严重的灾害之一,当景观带遭到地震破坏时,景观带中的规则建筑结构发生改变,景观带毁损程度评估是城市避震减灾体系研究的重点内容,因此对景观带中规则建筑毁损程度研究有重要意义。为深入探讨景观带毁损程度评估的问题,基于震灾图像维度分析下对景观带毁损程度的评估方法进行尝试。根据规则建筑震灾图像质量,按图像维度的变化特征对规则建筑结构的破碎程度进行划分,获取破碎概率分布,根据破碎概率划分最佳阈值,采用分数维方法提取图像维度特征,根据提取到的规则建筑震灾图像维度特征,将毁损的规则建筑空间自相关程度转换成正态分布曲线,进而构建评估模型对规则建筑毁损程度进行评估。针对实例分析,实现基于震灾图像维度分析下景观带毁损程度评估方法并进行了探讨。
Earthquakes are one of the most serious of all natural disasters. If a landscape belt is destroyed by an earthquake, regular building structures in the landscape belt will be also changed. Degree-of-damage evaluation of landscape belts is key to urban earthquake avoidance and disaster reduction, so it is of great significance to study degrees-of-damage to regular buildings in the landscape belt. In this paper, a method based in dimensional analysis of earthquake disaster images is used to evaluate the damage degree of landscape belts. According to the earthquake disaster image quality of regular buildings, fragmentation degree was categorized based on the change characteristics of the image dimensions. Optimal threshold was then calculated according to the crushing probability, and the fractional-dimension method was used to extract image dimension features. On this basis, the spatial autocorrelation degree of damaged regular buildings was transformed into a normal distribution curve. A model was then constructed to evaluate the degree-of-damage of the buildings. This case study proved that the method of landscape zone damage degree evaluation, based on dimensional analysis of earthquake disaster images, can be applied to real-life cases.
Earthquakes are one of the most serious of all natural disasters. If a landscape belt is destroyed by an earthquake, regular building structures in the landscape belt will be also changed. Degree-of-damage evaluation of landscape belts is key to urban earthquake avoidance and disaster reduction, so it is of great significance to study degrees-of-damage to regular buildings in the landscape belt. In this paper, a method based in dimensional analysis of earthquake disaster images is used to evaluate the damage degree of landscape belts. According to the earthquake disaster image quality of regular buildings, fragmentation degree was categorized based on the change characteristics of the image dimensions. Optimal threshold was then calculated according to the crushing probability, and the fractional-dimension method was used to extract image dimension features. On this basis, the spatial autocorrelation degree of damaged regular buildings was transformed into a normal distribution curve. A model was then constructed to evaluate the degree-of-damage of the buildings. This case study proved that the method of landscape zone damage degree evaluation, based on dimensional analysis of earthquake disaster images, can be applied to real-life cases.
引文
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[2] 张豫翔,吴明功,李野,等.航空加权网络抗毁性综合评估方法[J].火力与指挥控制,2017,42(1):154-158.ZHANG Yuxiang,WU Minggong,LI Ye,et al.Comprehensive Evaluation Method for Airline Weighted Network Survivability[J].Fire Control & Command Control,2017,42(1):154-158.
[3] 陈启浩,聂宇靓,李林林,等.极化分解后多纹理特征的建筑物损毁评估[J].遥感学报,2017,21(6):955-965.CHEN Qihao,NIE Yuliang,LI Linlin,et al.Buildings Damage Assessment Using Texture Features of Polarization Decomposition Components[J].Journal of Remote Sensing,2017,21(6):955-965.
[4] 闫秋实,杜修力.典型地铁车站柱在爆炸荷载作用下损伤评估方法研究[J].振动与冲击,2017,36(1):1-7.YAN Qiushi,DU Xiuli.Damage Evaluation for a Column of a Typical Subway Station Subjectedto Internal Blast Loading[J].Journal of Vibration and Shock,2017,36(1):1-7.
[5] 王树和,张举兵.基于地震损失风险钢筋混凝土框架结构弯矩增大系数评估[J].工程力学,2018,35(3):132-140.WANG Shuhe,ZHANG Jubing.Evaluation of Moment Magnifying Coefficients of Rc Structures Based on the Seismic Risk Assessment Method[J].Engineering Mechanics,2018,35(3):132-140.
[6] 史华.基于复杂网络的建筑物强震下抗毁性估计模型[J].地震工程学报,2017,39(6):1024-1028.SHI Hua.Invulnerability Estimation Model of Buildings with Complex Networks under Strong Earthquakes[J].China Earthquake Engineering Journal,2017,39(6):1024-1028.
[7] 胡良明,陈海生,孙宝成,等.分缝对混凝土高拱坝的地震影响分析[J].人民黄河,2017,39(11):128-131.HU Liangming,CHEN Haisheng,SUN Baocheng,et al.Analysis of the Impact of High Concrete Arch Dam on Parting[J].Yellow River,2017,39(11):128-131.
[8] 张健,潘文,宋志刚,等.基于烈度差的城市建筑地震易损性评估[J].地震工程与工程振动,2017,37(4):77-84.ZHANG Jian,PAN Wen,SONG Zhigang,et al.An Assessment of Seismic Vulnerability of Urban Structures Based on the Intensity Gap[J].Earthquake Engineering and Engineering Dynamics,2017,37(4):77-84.
[9] 张鹏,王艺环,秦国晋.非随机过程的地震激励下埋地压力管道的非概率可靠性分析[J].中国安全生产科学技术,2018,14(6):134-141.ZHANG Peng,WANG Yihuan,QIN Guojin.Non-probabilistic Reliability Analysis of Buried Pressure Pipeline under Non-random Process Earthquake Excitation[J].Journal of Safety Science and Technology,2018,14(6):134-141.
[10] 林季桦,林永峻,谭义绩,等.地震灾害损失评估方法及其应用研究[J].武汉理工大学学报(信息与管理工程版),2017,39(4):373-380.LIN Jihua,LIN Yongjun,TAN Yiji,et al.Research on Earthquake Loss Estimation Approach and Its Application[J].Journal of Wuhan University of Technology(Information & Management Engineering),2017,39(4):373-380.
[11] 李清,薛耀东,王永花,等.大底盘双塔结构层间隔震技术的抗震性能分析[J].科学技术与工程,2017,17(1):85-91,114.LI Qing,XUE Yaodong,WANG Yonghua,et al.Seismic Performance Analysis of Story Isolated Twin Tower Structure with Large Base[J].Science Technology and Engineering,2017,17(1):85-91,114.
[12] 董伟,刘智,姜慧,等.基于短距离应急通信技术的地震灾情采集技术研究与实现[J].华南地震,2018,38(3):31-38.DONG Wei,LIU Zhi,JIANG Hui,et al.Earthquake Disaster Data Collection Technology Based on Short-distance Emergency Communication Intelligent Technology[J].South China Journal of Seismology,2018,38(3):31-38.
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