2022 Fiscal Year Research-status Report
An integrated approach for modeling hillslope ecohydroclimatology: a new path to predict landslides in a changing climate
| Project/Area Number |
22K04331
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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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| Keywords | landslide / climate change / hydrometeorology / hillslope ecohydrology |
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| Outline of Annual Research Achievements |
The research aims at initiating a new refined methodology for landslide prediction by modeling responses of the eco-hydroclimatic environment of hillslope in a changing climate. The proposed methods are twofold: utilization of UAV LiDAR for detecting geomorphological conditions and vegetation canopy structure of hillslope in a high resolution, and application of measured field data to assess loading and stress condition in the surface soil layer of hillslope for predicting landslide occurrence. For the target area of Rokko mountain in Hyogo, an assessment model has been developed and being calibrated in progress. For assessment, the features of extreme rainfall and its relation with ground temperature have also been obtained by using observation and climate projection data.
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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 shall initiate a new methodology integrating refined field measurement and model assessment. The proposed methods are twofold: field measurement of hillslope topography and vegetation using UAV-mounted LiDAR as well as eco-hydromechanical assessment of hillslope for predicting landslide occurrence. In the current stage, the mechanical model has been developed by using existing data, and is being calibrated in progress. As a key of this research, model calibration is also proposed to utilize high-resolution data of field measurement by UAV-mounted LiDAR. For the reason that the instrument is still in preparation now, the progress of the planned trials of field measurement are slightly delayed compared to the schedule.
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| Strategy for Future Research Activity |
The next step for the future work will be focused on integration of field measurement method and analysis flow using the developed model into a comprehensive methodology. In this stage, the reliability of the field measurement technique is a key point to examine. To this end, the instruments for field measurement will be testified through several in-situ trials. Development of corresponding techniques for processing and analyzing field measurement data are then the other challenging tasks. Through trials, the capability and accuracy of field measurement method are planned to be summarized in this stage. Finally, the developed assessment model will be verified using historical hydrometeorological data and newly measured field geomorphological data at the target area.
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| Causes of Carryover |
The main work in this fiscal year was focused on the setup of simulation environment and data collection. With existing and available data, the assessment model has been smoothly set up. For the development of field measurement technique, the original plan is to purchase a UAV-mounted LiDAR. As the UAV possessed in our laboratory was gone through maintenance and upgrade of some parts, the purchase plan was slightly postponed. This year, the budget will be used for instrument purchase as was originally planned.
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