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

Mojtaba Sadegh, Amir AghaKouchak*, Alejandro Flores, Iman Mallakpour, Mohammad Reza Nikoo

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)3011-3024
Number of pages14
JournalWater Resources Management
Volume33
Issue number9
DOIs
Publication statusPublished - Jul 15 2019

Keywords

  • Nonstationarity
  • NRRT toolbox
  • Rainfall-runoff modeling
  • Time-varying models

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Water Science and Technology

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