Japan Geoscience Union Meeting 2024

Presentation information

[E] Poster

H (Human Geosciences ) » H-QR Quaternary research

[H-QR04] Deep time perspective on the geological response to climate change

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

convener:Liang-Chi Wang(National Chung Cheng University, Taiwan), Neng-Ti Yu(National Tsing Hua University), Kaoru Kashima(Estuary Research Center, Shimane University, Department of Earth and Environmental Sciences, National Chung Cheng University Taiwan), Yusuke Okazaki(Department of Earth and Planetary Sciences, Graduate School of Science, Kyushu University)

5:15 PM - 6:45 PM

[HQR04-P13] Developing autonomous USV for the bathymetric survey of Dapengwan Lagoon in SW Taiwan

*Cheng-Hao Lu1, Jia-Yuan Wang1, Ming-Lin Chuang2, Ming-Tien Wu2, Shu-Min Tsai2, Neng-Yi Chu3 (1.Department of Tourism and Leisure, National Penghu University of Science and Technology, 2.Department of Communication Engineering, National Penghu University of Science and Technology, 3.Department of Electrical Engineering, National Penghu University of Science and Technology)

Keywords:unmanned surface vehicle, bathymetric survey, Dapengwan Lagoon, extreme disaster events

In order to find suitable drilling sites in the lake area of Dapengwan Lagoon and its underwater landform, we can focus on the long-term geomorphological evolution of the Dapengwan Lagoon and its extreme disaster events, such as storms, fluvial flooding and even tsunami inundation. The research team used 3D design and digital lamination technology to produce the unmanned hull, and developed a long-distance dual communication system to penetrate and integrate RTK GNSS and underwater sonar. The technical specifications and underwater detection capabilities that are no less than unmanned surface vehicles from other countries. Based on the internal precision assessment, in terms of single-beam underwater potential mapping in Dapeng Bay, can achieve the centimeter-level accuracy level and the IHO special level. The underwater digital terrain model constructed in this study will provide potential selection for underwater drilling areas.