Kabuya, PM, Hughes, DA, Tshimanga, RM et al. (2 more authors) (2022) Assessing the potential value of the regionalised input constraint indices for constraining hydrological model simulations in the Congo River Basin. Advances in Water Resources, 159. 104093. ISSN 0309-1708
Abstract
The regionalised characteristics of a sub-basin's long-term hydrological behaviour are used as multiple constraint filters for constraining hydrological model simulations in the Congo Basin using the monthly time step Pitman model. The results suggest that the constraints are appropriate in many sub-basins (≥ 20 gauging stations), but not all. Detailed examination of these results suggested that the effects of high slopes (> 7%) could increase the runoff ratio and Q90/MMQ (low flow index) constraint values and that implementing an adjustment factor based on slope did improve some of the very poor results. The percentage points on the FDC falling within the simulated uncertainty band has increased from 0% to 59.6% and 2.4% to 39.9% for the Rift valley and Batéké plateaux regions, respectively. Future studies ideally need a range of different rainfall products to quantify the uncertainties related to the inappropriateness of the CRU rainfall data in some parts of the Congo Basin.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) |
Keywords: | Uncertainty; Constraints; Modeling; Pitman model; Congo Basin |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Funding Information: | Funder Grant number Royal Society FCG\R1\201027 |
Depositing User: | Symplectic Publications |
Date Deposited: | 16 May 2022 11:50 |
Last Modified: | 16 May 2022 11:50 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.advwatres.2021.104093 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:186783 |