Version 1
: Received: 12 March 2018 / Approved: 12 March 2018 / Online: 12 March 2018 (14:03:11 CET)
How to cite:
Kodja, D.J.; Mahé, G.; Amoussou, E.; Boko, M.; Paturel, J. Assessment of the Performance of Rainfall-Runoff Model GR4J to Simulate Streamflow in Ouémé Watershed at Bonou’s outlet (West Africa). Preprints2018, 2018030090. https://doi.org/10.20944/preprints201803.0090.v1
Kodja, D.J.; Mahé, G.; Amoussou, E.; Boko, M.; Paturel, J. Assessment of the Performance of Rainfall-Runoff Model GR4J to Simulate Streamflow in Ouémé Watershed at Bonou’s outlet (West Africa). Preprints 2018, 2018030090. https://doi.org/10.20944/preprints201803.0090.v1
Kodja, D.J.; Mahé, G.; Amoussou, E.; Boko, M.; Paturel, J. Assessment of the Performance of Rainfall-Runoff Model GR4J to Simulate Streamflow in Ouémé Watershed at Bonou’s outlet (West Africa). Preprints2018, 2018030090. https://doi.org/10.20944/preprints201803.0090.v1
APA Style
Kodja, D.J., Mahé, G., Amoussou, E., Boko, M., & Paturel, J. (2018). Assessment of the Performance of Rainfall-Runoff Model GR4J to Simulate Streamflow in Ouémé Watershed at Bonou’s outlet (West Africa). Preprints. https://doi.org/10.20944/preprints201803.0090.v1
Chicago/Turabian Style
Kodja, D.J., Michel Boko and Jean-Emmanuel Paturel. 2018 "Assessment of the Performance of Rainfall-Runoff Model GR4J to Simulate Streamflow in Ouémé Watershed at Bonou’s outlet (West Africa)" Preprints. https://doi.org/10.20944/preprints201803.0090.v1
Abstract
The study aims to analyze the performance criteria of the GR4J model to reproduce high water flows in the Ouémé watershed at Bonou's outlet which has been vulnerable to climate change in recent decades. The methodology focused on the use of daily climatological and hydrometric data extracted from files of National Directorate of Meteorology, and General Directorate of Water; they were supplemented by those of SIEREM/HSM dataset over the period 1961-2015. The rainfall was regionalized using Thiessen method. The performance of the GR4J model was assessed with NSE, RMSE and KGE criteria. The results indicate that the study area is marked by rainfall variabilities and detection of two breakpoints (1968 and 1987) which divide the series into three sub-periods; these discontinuities have repercussions on the streamflow. It's found that GR4J model overestimates the streamflow during the low water period and underestimates them in high water. However, the efficiency and performance criteria NSE, RMSE and KGE calculated on high water flow rates are better in calibration than in validation. The KGE values are range between 83-85% in calibration and 56-68% during validation, which gives to GR4J model the efficiency and performance to reproduce high flow rates in the study area
Keywords
streamflow; runoff model GR4J; performance; simulation; watershed; Bonou;
Subject
Environmental and Earth Sciences, Environmental Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
