データマイニングを用いた安倍川流砂系の土砂動態把握

抄録

The recent development of measurement technology has enabled us to utilize the frequently-observed and high resolution topographical data for river management. For the further improvement of the integrated management of sediment transport system, it is important for river engineers to make full use of those high resolution data efficiently. In this study, the data mining methodology was applied on the topographic data obtained by airborne laser survey and the hydrological data in the sediment transport system of the Abe river. The result of the analysis suggests that the topographical change of the river can be classified into 4 clusters depend on the distance from tributaries and the changing point of bed slope. It was also suggested that the effects of large flood on the topographical change have at least continued 2 years in the study site.