Japan Geoscience Union Meeting 2024

Presentation information

[E] Poster

H (Human Geosciences ) » H-TT Technology & Techniques

[H-TT14] HIGH-DEFINITION TOPOGRAPHIC SURFACE DATA FOR CONNECTIVITY IN THE ANTHROPOCENE

Tue. May 28, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

convener:Yuichi S. Hayakawa(Faculty of Environmental Earth Science, Hokkaido University), Christopher A Gomez(Kobe University Faculty of Maritime Sciences Volcanic Risk at Sea Research Group), Mio Kasai(Research Faculty of Agriculture, Hokkaido University), Takuro Ogura(Graduate School of Education, Hyogo University of Teacher Education)


5:15 PM - 6:45 PM

[HTT14-P03] Reconstruction of traditional knowledge of flood damage by integrating high-definition topographic data and local knowledge

*Takuro Ogura1, Kazuyuki Shimamoto2, Toshiaki Mizuno3, Hiroyuki Yamauchi4, Daisuke Katayama2, Tsuyoshi Hattanji5 (1.Graduate School of Education, Hyogo University of Teacher Education, 2.Lake Biwa Museum, 3.Lake Biwa Environmental Research Institute, 4.Art Research Center, Ritsumeikan University, 5.Faculty of Life and Environmental Sciences, University of Tsukuba)

Keywords:Eco-DRR, UAV-LiDAR, traditional knowledge of flooding

Landslides and floods, frequently occurring in Japan due to torrential rains in its humid fluctuation zone, raise concerns about exacerbated disasters amid climate change—traditional Eco-DRR facilities, like levees and flood-protection forests, historically safeguarded against floods by leveraging the ecosystem. However, loss, modification, and urbanization have obscured their existence and distribution. This study re-evaluates forgotten Eco-DRR facilities in the Echi River basin, Shiga Prefecture, employing high-definition topographic data, historical documents, and resident interviews. The Study area is the riparian forest 15.2 km from the Echi River mouth in Higashi-omi City, where residents recall an old stone dam named "Saruo" in the forest's southeastern part. Utilizing UAV-LiDAR technology, we measured the forest floor, generated point cloud data, and extracted ground surfaces using filtering software. Resident reports of Saruo in farmland south of the forest guided the mapping of convex landforms Saruo by merging topographic data in GIS. Comparison with historical maps, such as the 1874 Kanzaki-gun village map, facilitated the identification and scale determination of Saruo. Topographic interpretation unveiled six convex landforms, three confirmed as Saruo stone dams. Discrepancies between observed sizes and historical records suggest modifications over time, including modern embankment construction post-1874. These findings may result from sedimentation or land modifications, indicating new Saruo's presence and existing ones' discrepancies. Future efforts aim to integrate natural and human data to understand disaster risk comprehensively.