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Development of Risk Assessment and Early Damaged Area Estimation Methods for Large Scale Earthquake Disaster Using DMSP/OLS Night-time Imagery

利用 DMSP/OLS 夜间影像开发大规模地震灾害风险评估和早期受损面积估计方法

基本信息

批准号：
14380203
负责人：
HAYASHI Haruo
金额：
$ 7.62万
依托单位：
Kyoto University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2002
资助国家：
日本
起止时间：
2002 至 2004
项目状态：
已结题

项目摘要

In this research, we developed the following methods using time-series DMSP/OLS imagery data which capture night-time city light to monitor the changes in light intensity and geo-location patterns as an index of regional socio-economic activities before and after the earthquake. The spatial distribution patterns in city lights enable us to know the disaster risk before the event and the changes in city light patterns the potential damage area just after the event. These methods would be especially useful in the developing countries which do not have sophisticated disaster information system nor high resolution socio-economic statistics.1)Web-based Early Damaged Area Estimation System(EDES) was developed. The system worked on 168 earthquakes with M6.0 in the world in 2004. The results were published on the website, http://www.edm.bosai.go.jp/default.htm.2)A night-time city light mapping method whose procedure is suited to automation and is free from saturation caused by sensor gain limitation was proposed.3)A methodology to estimate spatial distribution of damage inventory such as population or buildings using night-time city light intensity distribution was proposed by examining the relationship between the spatial distribution of night-time city light intensity and that of population or buildings. It was clarified that the method has enough accuracy to know the big picture of possible damage situation and the distribution heavily damaged area of large scale earthquake by applying this method to Tokai earthquake damage assessment.4)A method for estimating the quantity of buildings with different seismic vulnerability according to GESI method using a high resolution satellite imagery data and geo-referenced digital video imagery data was developed. This method is useful to know detailed damage potential information for local seismic risk assessment

在这项研究中，我们开发了以下方法，使用时间序列DMSP/OLS图像数据，捕捉夜间城市灯光，以监测光强度和地理位置模式的变化，作为地震前后区域社会经济活动的指标。城市灯光的空间分布模式使我们能够在灾害发生前了解灾害的风险，在灾害发生后了解城市灯光模式的变化，预测潜在的破坏区域。这些方法在发展中国家将是特别有用的，既没有复杂的灾害信息系统，也没有高分辨率的社会经济学。1）基于Web的早期受损面积估计系统（EDES）的开发。2004年，该系统共对全球168次6.0级地震进行了监测。研究结果发表在http：//www.edm.bosai.go.jp/default.htm网站上。2）提出了一种适合自动化的夜间城市光映射方法，该方法的过程不受传感器增益限制引起的饱和度的影响。将该方法应用于东海大地震震害评估，表明该方法具有足够的精度，可以了解大地震可能的破坏情况和严重破坏区的分布。4）利用高分辨率卫星影像数据和地理参考数字视频影像数据，建立了基于GESI方法的不同地震易损性建筑物数量估算方法。该方法可为局部地震危险性评估提供详细的破坏潜势信息