Next Article in Journal
Suitability Evaluation of River Bank Filtration along the Second Songhua River, China
Next Article in Special Issue
Using High-Resolution Data to Test Parameter Sensitivity of the Distributed Hydrological Model HydroGeoSphere
Previous Article in Journal
Use of Hydrochemistry, Stable Isotope, Radiocarbon, 222Rn and Terrigenic 4He to Study the Geochemical Processes and the Mode of Vertical Leakage to the Gambier Basin Tertiary Confined Sand Aquifer, South Australia
Previous Article in Special Issue
An Eco-Hydrological Model-Based Assessment of the Impacts of Soil and Water Conservation Management in the Jinghe River Basin, China
Article Menu

Export Article

Open AccessArticle
Water 2016, 8(5), 178; doi:10.3390/w8050178

Multi-Site Validation of the SWAT Model on the Bani Catchment: Model Performance and Predictive Uncertainty

1
Graduate Research Program (GRP) Climate Change and Water Resources, West African Science Service Centre on Climate Change and Adapted Land Use (WASCAL), University of Abomey-Calavi, 01 BP 526 Cotonou, Benin
2
Centre Regional AGRHYMET, PB 11011 Niamey, Niger
3
Department of Aquatic Ecosystem Analysis and Management, Helmholtz Centre for Environmental Research—UFZ, Brueckstrasse 3a, 39114 Magdeburg, Germany
4
Centre de Recherche et des Technologies des Eaux (CERTE), BP 273, 8020 Soliman, Tunisia
*
Author to whom correspondence should be addressed.
Academic Editor: Xuan Yu
Received: 14 March 2016 / Revised: 20 April 2016 / Accepted: 21 April 2016 / Published: 30 April 2016
(This article belongs to the Special Issue Hillslope and Watershed Hydrology)
View Full-Text   |   Download PDF [3040 KB, uploaded 30 April 2016]   |  

Abstract

The objective of this study was to assess the performance and predictive uncertainty of the Soil and Water Assessment Tool (SWAT) model on the Bani River Basin, at catchment and subcatchment levels. The SWAT model was calibrated using the Generalized Likelihood Uncertainty Estimation (GLUE) approach. Potential Evapotranspiration (PET) and biomass were considered in the verification of model outputs accuracy. Global Sensitivity Analysis (GSA) was used for identifying important model parameters. Results indicated a good performance of the global model at daily as well as monthly time steps with adequate predictive uncertainty. PET was found to be overestimated but biomass was better predicted in agricultural land and forest. Surface runoff represents the dominant process on streamflow generation in that region. Individual calibration at subcatchment scale yielded better performance than when the global parameter sets were applied. These results are very useful and provide a support to further studies on regionalization to make prediction in ungauged basins. View Full-Text
Keywords: SWAT; Bani catchment; West Africa; discharge; daily calibration; performance and predictive uncertainty SWAT; Bani catchment; West Africa; discharge; daily calibration; performance and predictive uncertainty
Figures

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. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Chaibou Begou, J.; Jomaa, S.; Benabdallah, S.; Bazie, P.; Afouda, A.; Rode, M. Multi-Site Validation of the SWAT Model on the Bani Catchment: Model Performance and Predictive Uncertainty. Water 2016, 8, 178.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top