Open Journal of Modern Hydrology

Volume 3, Issue 4 (October 2013)

ISSN Print: 2163-0461   ISSN Online: 2163-0496

Google-based Impact Factor: 2.33  Citations  

A Structural Overview through GR(s) Models Characteristics for Better Yearly Runoff Simulation

HTML  Download Download as PDF (Size: 1600KB)  PP. 179-187  
DOI: 10.4236/ojmh.2013.34022    5,308 Downloads   9,169 Views  Citations

ABSTRACT

In rainfall-runoff modelling, a monthly timescale and an annual one are sufficient for the management of deductions. However, to simulate the flow at a large time-step (annual), we generally precede the use of a model working for a finer time-step (daily) while aggregating the desired outputs. The finest time-steps are considered, apriori, as the most performant. By passing from one time-step to another, and in order to work in the desired time-step (annual) and calculate the potential gains or loss, this article proposed a comparative study between the aggregation method of outputs of a modal working at a finer time step, and a method in which we use a conceived model from the beginning. To ensure this comparative and empirical approach, the choice has been focused on (GRs) models to a daily time-step (GR4J), monthly time step (GR2M) and annual time step (GR1A). The modelling platform used is the same for all three models taking into account the specificities of each one: the same data sample, the same optimization method, and the same function criterion are used during the construction of these models. Due to the moving between these time steps, results show that the best way to simulate the annual flow is to use an appropriate and designed modal initially conceived to this time step. Indeed, this simulation seems to be less effective when using a model at a finer time-step (daily).

Share and Cite:

Mouelhi, S. , Madani, K. and Lebdi, F. (2013) A Structural Overview through GR(s) Models Characteristics for Better Yearly Runoff Simulation. Open Journal of Modern Hydrology, 3, 179-187. doi: 10.4236/ojmh.2013.34022.

Cited by

[1] Historical Droughts in Irish Catchments: Flow Reconstructions, Drought Characteristics and Impact Analysis
2022
[2] Calibrações de múltiplos modelos hidrológicos em diferentes passos de tempo: previsão de vazão com dados escassos
2022
[3] Reconstructed monthly river flows for Irish catchments 1766–2016
2021
[4] Integrating Satellite Rainfall Estimates with Hydrological Water Balance Model: Rainfall-Runoff Modeling in Awash River Basin, Ethiopia
2021
[5] Rainfall-Runoff Modeling Using the eWater Source in the Chel-Chay Watershed, the Province of Golestan
2021
[6] Performance assessment of GR4J rainfall-runoff model in daily flow simulation of Nirchai Watershed, Ardabil province
2021
[7] Evolution des apports en eau dans la plaine rizicole de Marovoay par le fleuve Betsiboka (Madagascar): reconstitution et projections jusqu'en 2100
Proceedings of the …, 2021
[8] Assessing multidecadal runoff (1970–2010) using regional hydrological modelling under data and water scarcity conditions in Peruvian Pacific catchments
2019
[9] Development and assessment of an improved continuous simulation modelling system for design flood estimation in South Africa using the ACRU model.
2019
[10] Continuous simulation modelling for design flood estimation–a South African perspective and recommendations
Water SA, 2018
[11] Hydrological modeling of floods in the Wadi Bechar watershed and evaluation of the climate impact in arid zones (southwest of Algeria)
Applied Water Science, 2018
[12] Evaluation and hydrologic validation of three satellite-based precipitation products in the upper catchment of the Red River basin, China
2018

Copyright © 2025 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.