A Multi-Model Nonstationary Rainfall-Runoff Modeling Framework: Analysis and Toolbox
A Multi-Model Nonstationary Rainfall-Runoff Modeling Framework: Analysis and Toolbox
复制标题
多模型非平稳降雨径流建模框架：分析和工具箱
DOI：
--
复制
发表时间：
2019
影响因子：
4.3
通讯作者：
M. Nikoo
中科院分区：
文献类型：
--
作者：
M. Sadegh;A. Aghakouchak;A. Flores;I. Mallakpour;M. Nikoo
我们提出了一个框架和工具箱的多模型（一次一个）非平稳建模的径流（RR）转换。工具箱中五个可用的概念RR模型的设计时变性质允许建模本质上是非平稳的过程。非平稳降雨径流模型（NRRT）通过交互式调整模型参数来反映时间的非平稳性，从而提供了对潜在流域过程的见解。该工具箱包括许多性能指标，沿着可视化图形，用于评估模型模拟的拟合优度。我们的分析表明，所提出的时变RR建模框架成功地捕捉到了澳大利亚Wights流域的非平稳行为。一个多模型分析这个流域，经历了森林砍伐，提供了不同的概念模块的RR模型的功能，和他们的现实世界的代表性的见解。
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 parameters to 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.
影响因子：
1
作者：
A. Aghakouchak;E. Habib
通讯作者：
A. Aghakouchak;E. Habib