Bola, GB, Tshimanga, RM, Neal, J et al. (4 more authors) (2022) Understanding flood seasonality and flood regime shift in the Congo River Basin. Hydrological Sciences Journal, 67 (10). pp. 1496-1515. ISSN 0262-6667
Abstract
In the sparsely investigated region of the Congo Basin (CB), flood seasonality and flood regime shift are established through relative frequency, cluster analysis, directional statistics, and non-overlapping block methods based on block maxima and peak over threshold (POT) series. Two months of significantly rich floods are observed at all gauging stations. The spatial distribution of floods presents three patterns: the north and northwest pattern, south and southeast pattern, and west/east pattern. It is observed that unimodal flood distribution is coherent in the northern and southern parts, as opposed to the bimodal flood distribution observed along the large band of the Equator from west to east of the basin. The time lag of flood indices suggests that the flood regime is not stationary. In addition, the time series show periods of high flooding, with POT frequencies and amplitudes higher during the 1960s and early 1970s than any other time period.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 IAHS. This is an author produced version of an article published in Hydrological Sciences Journal. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Congo Basin; directional statistics; mean day; regime shift; seasonality |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 Oct 2022 12:20 |
Last Modified: | 11 Jul 2023 00:13 |
Status: | Published |
Publisher: | Taylor and Francis Group |
Identification Number: | 10.1080/02626667.2022.2083966 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:192063 |