A NEW THEORETICAL FRAMEWORK OF UNCERTAINTY ESTIMATION IN RAINFALL-RUNOFF PROCESS BASED ON THE THEORY OF STOCHASTIC PROCESS
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- YOSHIMI Kazuhiro
- 中央大学理工学研究科都市環境学専攻
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- WANG Chao-Wen
- 中央大学理工学研究科都市環境学専攻
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- YAMADA Tadashi
- 中央大学 理工学部都市環境学科
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- YAMADA Tomohito J.
- 北海道大学 大学院工学研究院環境フィールド工学部門
Bibliographic Information
- Other Title
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- 確率過程論に基づいた降雨流出過程における不確実性評価の理論的枠組の提示
- カクリツ カテイロン ニ モトズイタ コウウ リュウシュツ カテイ ニ オケル フカクジツセイ ヒョウカ ノ リロンテキ ワクグミ ノ テイジ
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Abstract
The purpose of this study is to clarify the effect of uncertainty in the rainfall-runoff process. Though we have performed runoff analysis deterministically in the past, the uncertainty in the rainfall-runoff process is quantified stochastically through the introduction of the theory of stochastic process. We purpose the theoretical framework to evaluate the uncertainties using the relationship among Langevin equation, stochastic differential equation (SDE) and Fokker-Planck equation (FPE), because the lumped rainfall-runoff model is described by ordinary differential equation. That is, it is attributed to the similarity of structure between the lumped model and Langevin eq. or SDE. As a result, we provide a new perception into decision-maker in flood. Moreover, we theorize a new framework regarding reliability analysis with the distribution of water level as external force and the failure probability of levee as resistance.
Journal
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- Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)
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Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 72 (4), I_1225-I_1230, 2016
Japan Society of Civil Engineers
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Details
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- CRID
- 1390282680330257152
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- NII Article ID
- 130005311945
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- NII Book ID
- AN10426673
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- ISSN
- 18808751
- 2185467X
- 09167374
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- NDL BIB ID
- 027186595
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed