Assessing sources of parametric uncertainty and uncertainty propagation in sediment runoff simulations of flooding

被引:5
作者
Apip [1 ]
Sayama, T. [2 ]
Tachikawa, Y. [3 ]
Takara, K. [4 ]
Yamashiki, Y. [4 ]
机构
[1] Kyoto Univ, Dept Urban & Environm Engn, Kyoto 6158540, Japan
[2] Publ Works Res Inst, Int Ctr Water Hazard & Risk Management, Tsukuba, Ibaraki, Japan
[3] Kyoto Univ, Dept Urban & Environm Engn, Kyoto, Japan
[4] Kyoto Univ, Disaster Prevent Res Inst, Uji 611, Japan
来源
JOURNAL OF FLOOD RISK MANAGEMENT | 2010年 / 3卷 / 04期
基金
日本科学技术振兴机构;
关键词
Flood; Lesti River catchment; model lumping; model parameter; parametric uncertainty; sediment runoff; sensitivity analysis; MODEL PARAMETERS; SCALE; SENSITIVITY; PREDICTION; HILLSLOPE; EROSION;
D O I
10.1111/j.1753-318X.2010.01077.x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper presents a framework for assessing the contribution of different sources of parametric uncertainty in sediment runoff simulations. The proposed uncertainty assessment is comprised in the three procedures. First, global parametric sensitivity and uncertainty analysis based on a Monte Carlo Simulation technique was applied to identify the dominant uncertainty sources. The analysis revealed a few parameters significantly affecting the model behaviours. Second, the propagation of parametric uncertainties through sediment runoff simulations was investigated, which identified that sediment simulations tend to involve more uncertainty than only streamflow simulations. Third, by conducting scenario simulations considering different uncertainty sources, it explores a strategy for reducing the parametric uncertainty considering its propagation effect. The proposed framework can provide useful information for improving sediment runoff modelling and its application to river basin management recognizing predictive uncertainty.
引用
收藏
页码:270 / 284
页数:15
相关论文
共 31 条
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