| 研究分担者 |
武藤 裕則 徳島大学, 大学院社会産業理工学研究部(理工学域), 教授 (40263157)
角 哲也 京都大学, 防災研究所, 教授 (40311732)
竹門 康弘 京都大学, 防災研究所, 准教授 (50222104)
小柴 孝太 京都大学, 防災研究所, 助教 (80883157)
|
|---|
| 研究実績の概要 |
Installation of two IP Cameras monitoring systems for real-time flow pattern, surface velocity, water level, and flow discharge measurements. Three times field surveys at Naka River for measuring Grain Size Distribution (GSD) along four gravel bars, drone for the sediment replenishment site and morphological changes. LSPIV and STIV were further used for real-time measurement of flow patterns. The STIV proved more reliable for measuring flow velocity and discharge. Collection of long-term data time series for riverbed substrates, fish surveys, and geomorphological changes. The water depth and flow velocity were collected in 2015, 2016, and 2020 during the average flow period in spring and autumn. We developed an image-based approach for detecting the flow velocities, and sediment erosion rate at the replenishment site. A unified methodological approach for assessing the riverine system during SR was developed. Moreover, two primary aspects of river morphology, channel adjustment, and riverbed substrates, were considered to analyze the reasons for indicators alterations. The analysis of SR efficiency was conducted at two replenishment sites upstream and downstream of the Kohama Bridge from 2009 to 2020. The efficiency of replenishment in the Naka River is not higher due to the location of the stockpile and the considerable volume of placed sediment. Continuous SR with additional sediment input should be considered to utilize the remaining sediment at the replenishment site effectively.
|
| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
The project progressively developed with the data collection, and we could conduct various field surveys for sediment replenishment sites. Furthermore, we developed the SR assessment method and start preparation for the numerical model. We have published several Journal papers and prepared online-training courses for the STIV software related to surface flow velocity. Drone surveys for the sediment replenishment site and downstream reaches. The assessment method has been developed based on detailed indicators.
|
