A Multi-Model Nonstationary Rainfall-Runoff Modeling Framework: Analysis and Toolbox

被引:22
作者
Sadegh, Mojtaba [1 ,2 ]
AghaKouchak, Amir [1 ]
Flores, Alejandro [3 ]
Mallakpour, Iman [1 ]
Nikoo, Mohammad Reza [4 ]
机构
[1] Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA 92697 USA
[2] Boise State Univ, Dept Civil Engn, Boise, ID 83725 USA
[3] Boise State Univ, Dept Geosci, Boise, ID 83725 USA
[4] Shiraz Univ, Dept Civil & Environm Engn, Shiraz, Iran
基金
美国国家科学基金会; 美国海洋和大气管理局;
关键词
Nonstationarity; Rainfall-runoff modeling; Time-varying models; NRRT toolbox; FREQUENCY-ANALYSIS; DATA ASSIMILATION; HYDROLOGIC MODEL; STATIONARITY; PARAMETERS; CATCHMENTS; PERIOD; QUEST; DEAD;
D O I
10.1007/s11269-019-02283-y
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
We present a framework and toolbox for multi-model (one at a time) nonstationary modeling of rainfall-runoff (RR) transformation. The designed time-varying nature of the five available conceptual RR models in the toolbox allows for modeling processes that are nonstationary in essence. Nonstationary Rainfall-Runoff Toolbox (NRRT) delivers insights about underlying watershed processes through interactive tuning of model parametersto reflect temporal nonstationarities. The toolbox includes a number of performance metrics, along with visual graphics to evaluate the goodness-of-fit of the model simulations. Our analysis shows that the proposed time-varying RR modeling framework successfully captures the nonstationary behavior of the Wights catchment in Australia. A multi-model analysis of this catchment, that has endured deforestation, provides insights on the functionality of different conceptual modules of RR models, and their representation of the real-world.
引用
收藏
页码:3011 / 3024
页数:14
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