评估2023年卡赫拉曼马拉斯的城市建筑损坏,土耳其地震序列使用SAR变化检测
Xiuhua Wang1, Guangcai Feng1, Lijia He1
1School of Geosciences and Info-Physics, Central South University, Changsha 410083, China.
Sensors (Basel, Switzerland)
|July 29, 2023
概括
这项研究引入了一种使用合成孔径雷达 (SAR) 评估2023年土耳其地震后建筑物地震损坏的新方法. 该研究量化了损坏比率,并分析了表面变形,以了解地震的影响.
科学领域:
- 地质物理学 地质物理学
- 遥感 遥感 遥感 遥感
- 灾害管理 灾害管理
背景情况:
- 2023年土耳其地震 (Mw7.8和Mw7.7) 造成了广泛的破坏,需要快速评估损失.
- 评估地震影响的传统方法往往耗时且资源密集.
研究的目的:
- 开发和验证使用SAR数据进行地震建筑损害评估的新方法.
- 分析表面变形和城市建筑损坏之间的关系.
- 为了确定影响地震引起建筑物倒塌的因素.
主要方法:
- 综合SAR振幅和相连变化检测用于损害评估.
- 在五个受影响的城市地区计算了建筑损坏比率.
- 利用像素偏移跟踪 (POT) 和D-InSAR与Sentinel-1A图像进行表面变形分析.
主要成果:
- 在各个城市地区确定了不同的损害比率,Nurdagi显示最高 (18.93%) 和Islahiye显示最低 (7.59%).
- 努尔达吉的平均表面变形最大 (0.48米),而安塔基亚的平均表面变形最小 (0.09米).
- 发现更的斜坡,靠近断层和建筑物倒塌风险增加之间存在相关性.
结论:
- 提出的基于SAR的方法为地震后的损害评估提供了一个有效的工具.
- 表面变形和地理因素显著影响地震造成的建筑损坏.
- 优化SAR图像参数可以提高对未来灾害响应的损害检测的准确性.
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