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UAVを用いた阿蘇大橋落橋の解析


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タイトル: UAVを用いた阿蘇大橋落橋の解析
その他のタイトル: Analysis of Aso Big Bridge Collapse with UAV
著者: 谷口, 幸弥 / 小川, 進 / 大坪, 俊太郎
著者(別表記) : Taniguchi, Yukiya / Ogawa, Susumu / Otsubo, Shuntaro
発行日: 2017年 7月
出版者: 長崎大学大学院工学研究科 / Graduate School of Engineering, Nagasaki University
引用: 長崎大学大学院工学研究科研究報告, 47(89), pp.93-98; 2017
抄録: On April 14, 2016, a large earthquake with magnitude 6.5 occurred in Kumamoto Prefecture [1]. On April 16, 2016, the strong shakes with magnitude 7.3 occurred by Kumamoto earthquake in Kumamoto city and South Aso [2]. In South Aso, Aso Big Bridge collapsed on that day by this earthquake. On the other hand, in recent years, the spread of UAV has progressed rapidly, and it is used in many fields. The images of UAV are higher resolution than aerial photographs of satellites, and the shooting can be repeated [3].UAV has automatic navigation functions, and the air dose rate is measured even in places where human intrusion is difficult [5]. In this study, the collapse distribution of Aso Big Bridge and the displacement of the slope collapse were analyzed with UAV. The authors visited South Aso on May 28 and June 11, 2016, and May 8, 2017. Aerial images were taken with UAV around Aso Big Bridge with two methods of manual and automatic navigation. Next, 3D models were created from the aerial images. Comparing the two 3D models created with the manual and automatic navigation, difference between them was examined. Construction of the DSM image after the earthquake and the spatial distribution of the collapse directions were calculated using ArcGIS. Furthermore, compared with DEM of the original hill from the satellite data, up-and-down of the slopes between before and after the earthquake, the main collapse point and the amount of sediment were estimated.From the data of UAV and the Geospatial Information Authority, Japan, four main collapse points were found out on the slopes of the Tatsuno hill. The sediment volume was estimated to be 250,000 m³.
キーワード: Automatic navigation / GIS / Kumamoto Earthquake / Photogrammetry
URI: http://hdl.handle.net/10069/37680
ISSN: 18805574
資料タイプ: Departmental Bulletin Paper
原稿種類: publisher
出現コレクション:第47巻 第89号

引用URI : http://hdl.handle.net/10069/37680

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