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

被引：21

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

来源：

WATER RESOURCES MANAGEMENT | 2019年 / 33卷 / 09期

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

页码：3011 / 3024

页数：14

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