| Project/Area Number |
22K04331
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 22040:Hydroengineering-related
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| Research Institution | Kyoto University |
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Principal Investigator |
WU YINGHSIN 京都大学, 防災研究所, 特定准教授 (40747143)
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| Project Period (FY) |
2022-04-01 – 2025-03-31
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| Project Status |
Granted (Fiscal Year 2023)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2024: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2023: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2022: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | landslide / climate change / hydrometeorology / hillslope ecohydrology / groundwater / 地すべり / ドローン観測 / 気候変動 / 斜面災害予測 |
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| Outline of Research at the Start |
This research focuses on developing a refined methodology to model hillslope ecohydroclimatology for initiating a new path to predict occurrence of landslide in a changing climate through the integration of drone-based remote sensing and numerical modeling techniques in a high spatial resolution.
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| Outline of Annual Research Achievements |
The research aims to propose a refined methodology for landslide prediction by modeling the responses of the eco-hydroclimatic environment of hillslope in a changing climate. The methodology consists of two components: 1) Utilization of UAV LiDAR technology to detect microtopography and assess geomorphological and vegetation conditions on hillslopes at a high resolution. 2) Application of measured field data to evaluate soil wetness and mechanical equilibrium conditions in the surface soil layer of hillslopes for predicting shallow landslide occurrence. Currently, a new numerical approach for water table evolution in unconfined aquifers has been developed to better simulate the landslide trigger of groundwater. Also, UAV LiDAR has undergone testing and is now ready for field measurement.
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| Current Status of Research Progress |
Current Status of Research Progress
3: Progress in research has been slightly delayed.
Reason
This research aims to develop a new methodology that integrates refined field measurements of microtopography and vegetation conditions on hillslope using UAV-mounted LiDAR with a numerical model for eco-hydromechanical assessment of hillslopes to predict landslide occurrence. So far, a new numerical model for simulating the shallow water table is being developed and integrated into a mechanical landslide model. Concurrently, UAV LiDAR is being employed for several field tests. In the current stage, the task is to integrate refined measurements and the developing assessment model with plans to calibrate the landslide model at a field site. Currently, the field measurement is under preparation and will be performed soon. The progress of the measurement plan is slightly behind the schedule.
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| Strategy for Future Research Activity |
The future work will focus on completing the proposed methodology that integrates refined field measurement techniques with a developing mechanical landslide model. The main tasks include testifying the reliability of the field measurement technique and calibrating the numerical assessment model. To achieve this, field measurement using UAV LiDAR will undergo several tests in the field. Concurrently, techniques for processing and analyzing field-measured datum will be developed. These trials will validate the accuracy of the field measurement method and the precision of the numerical model. Finally, the developed model will be applied to assess landslide occurrence in a landslide-prone watershed using newly measured high-resolution geomorphological data and other hydrometeorological data.
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