| Budget Amount *help |
¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2019: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2018: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Outline of Final Research Achievements |
In this study, we developed a method to estimate river channel bathymetry by combining a global river model with a satellite altimeter.
First, it was necessary to significantly improve the accuracy of the hydro-topography data. We first developed the world's most accurate global elevation data MERIT DEM by removing multiple error components. We also construct a high-precision global river data MERIT Hydro by integrating various water area maps. As a result, the reliability of floodplain topographical parameters and river channel width parameters of the global river model has been significantly improved, and error information of water surface elevation can be used for estimating channel depth parameters.
Then, we developed an algorithm that optimizes the channel depth parameter so as to reduce the water surface elevation error. River depth estimation experiments in the Amazon basin confirmed the effectiveness of the river depth estimation.
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