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2021 Fiscal Year Final Research Report

Development of bias correction method to runoff as time series data

Research Project

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Project/Area Number 19K21992
Research Category

Grant-in-Aid for Challenging Research (Exploratory)

Allocation TypeMulti-year Fund
Review Section Medium-sized Section 22:Civil engineering and related fields
Research InstitutionKyoto University

Principal Investigator

Yorozu Kazuaki  京都大学, 工学研究科, 講師 (90554212)

Project Period (FY) 2019-06-28 – 2022-03-31
Keywordsバイアス補正 / 流出量 / 河川流量 / 陸面過程モデル / 河道流追跡モデル
Outline of Final Research Achievements

A numerical model for simulating river discharge has been developed. It was confirmed that performance of developed model on Chikugo river basin for both high flow and low flow. Therefore, runoff output by developed model was considered as reference data for bias correction. In this study, runoff output by MRI-AGCM3.2S was corrected based on reference runoff data. It was found that estimated river discharge by corrected runoff data shows high accuracy.

Free Research Field

水文学

Academic Significance and Societal Importance of the Research Achievements

将来気候推計結果にはバイアスと呼ばれる誤差が含まれる.バイアスを補正する手法は多く開発されているが,気温や降水量を対象としたものがほとんどである.本研究では水工計画の基本情報となる河川流量に着目したバイアス補正手法を開発した.開発した手法を用いることで,年最大値といった統計情報だけではなく,高水部から低水部にいたる河川流況を精度よく再現することが可能である.

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Published: 2023-01-30  

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