日本地球惑星科学連合2014年大会

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インターナショナルセッション(口頭発表)

セッション記号 A (大気海洋・環境科学) » A-HW 水文・陸水・地下水学・水環境

[A-HW07_29AM1] Insight into change and evolution in hydrology

2014年4月29日(火) 09:00 〜 10:45 511 (5F)

コンビーナ:*谷 誠(京都大学大学院農学研究科地域環境科学専攻)、松四 雄騎(京都大学防災研究所 地盤災害研究部門 山地災害環境分野)、野口 正二(森林総合研究所)、中北 英一(京都大学防災研究所)、座長:野口 正二(森林総合研究所)、谷 誠(京都大学大学院農学研究科地域環境科学専攻)

10:18 〜 10:33

[AHW07-06] 山地流域の降雨流出応答に一般則はあるか?

*内田 太郎1浅野 友子2蒲原 潤一1友村 光秀3 (1.国土技術政策総合研究所、2.東京大学、3.気象工学研究所)

キーワード:山地流域, 降雨流出応答, データベース, 多変量解析

Clarifying rainfall-runoff response function in mountainous catchments is one of key issues for flood and sediment disaster prediction, management of aquatic environment, water supply and so on. So, rainfall-runoff response function in mountainous catchments has been debated in more than several decades. A variety of studies, observation, modeling, theoretical studies etc., has been conducted. Many noble efforts have been conducted for clarifying complex systems in catchment hydrology through intensive observations. These observations were effective for documentation of the idiosyncrasies of each catchment environments. However, it has been difficult to derive general rainfall-runoff response function from these basin-centric approaches. So, several researchers emphasized the importance of intercomparison so as to better see first order controls of hydrologic responses. Except for several exceptions, intercomparisons for rainfall-runoff responses in many catchments are still limited. Thus, still it is very hard to predict rainfall-runoff response function at ungauged basin.Thus, we compiled rainfall and stream flow data for around 150 catchments in Japan. We focused relatively small catchment (<100 km2) and a variety of geological, topographical and climatic conditions. We removed catchments where strongly affected human activities, such as urbanized catchment etc., from our intercomparison. In this study, we randomly sampled 10 storms, i.e., total rainfall amounts were large than 50 mm, for each catchment and calculated three indices, peak specific discharge, peak lag time and direct runoff ratio, to characterize rainfall-runoff response. Also, we defined rainfall-runoff responses using three reservoirs model. We parameterized all of catchments using four storms data using SCE-UA method and validated these parameters using other four storms data. Then, we tested the roles of rainfall condition, climate, geology and topography on rainfall-runoff responses. We used multiple regression analysis to define first order controls of rainfall-runoff responses. We found large variability in rainfall-runoff responses and it is hard to define general response patterns. While, through multiple regression analysis, we found several interesting results, as follow;-Climatic conditions affected peak specific discharge and direct runoff ratio, suggesting that climate might give impacts on hydrological characteristics soil and bedrock.-Geology, such as type of rocks and geological age, gave impacts on rainfall-runoff responses, but effects of geology were not so large, although many study focused on rock-controls on hydrology.-Flowpath length, calculated by DEM, was one of important topographic parameters for describing rainfall-runoff responses.