JpGU-AGU Joint Meeting 2020

講演情報

[E] 口頭発表

セッション記号 A (大気水圏科学) » A-HW 水文・陸水・地下水学・水環境

[A-HW33] Prediction of water and sediment dynamics from small to large scales

コンビーナ:横尾 善之(Fukushima University)、浅野 友子(東京大学)

[AHW33-05] Towards improving predictivity of runoff and sediment transport for mountainous catchments through measurement of spatial patterns of hydrological behaviors

*内田 太郎1浅野 友子2水垣 滋3横尾 善之4平岡 真合乃 5五味 高志6丹羽 諭7勝山 正則8 (1.筑波大学、2.東京大学、3.(国研)土木研究所・寒地土木研究所、4.福島大学、5.土木研究所、6.東京農工大学、7.国土防災株式会社、8.京都府立大学)

キーワード:流域特性、流域面積と流出量の関係、数値解析

n the last several decades, hydrologist have been argued spatial variability and scale dependencies of runoff and sediment transport for mountainous catchments. In this paper, we discussed issues and approaches for connecting findings of field-based observations and numerical hydrological modeling for improving predictability of runoff and sediment discharge transport for mountainous catchments. We proposed a method for identifying dominant processes of water and sediment movement as well as site- or catchment-specific conditions (e.g., topography, soil, and vegetation) for controlling specific processes using spatial patterns of runoff and sediment discharge in a given catchment. In our method, processes controlling runoff and sediment discharge simply classified into three based on mass balance such as (1) sum of inflow amount from upstream tributaries, (2) advection in a given channel segment, (3) storage change within a channel segment. We considered that if the first type of processes is dominated, the spatial patterns of runoff should be described as central limit theorem. While, second and/or third types of processes are dominated, the spatial pattern should be different from the previous one. This indicated that the observed data of spatial variability and spatial scale dependencies is essential to improve the predictivity of a numerical hydrological models through clarifying dominant processes and site-conditions.