Nkiaka, E, Nawaz, NR and Lovett, JC orcid.org/0000-0002-5839-3770 (2017) Using standardized indicators to analyse dry/wet conditions and their application for monitoring drought/floods: A study in the Logone catchment, Lake Chad basin. Hydrological Sciences Journal, 62 (16). pp. 2720-2736. ISSN 0262-6667
Abstract
The standardized precipitation index (SPI) and standardized streamflow index (SSI) were used to analyse dry/wet conditions in the Logone catchment over a 50-year period (1951–2000). The SPI analysis at different time scales showed several meteorological drought events ranging from moderate to extreme; and SSI analysis showed that wetter conditions prevailed in the catchment from 1950 to 1970 interspersed with a few hydrological drought events. Overall, the results indicate that both the Sudano and Sahelian zones are equally prone to droughts and floods. However, the Sudano zone is more sensitive to drier conditions, while the Sahelian zone is sensitive to wetter conditions. Correlation analysis between SPI and SSI at multiple time scales revealed that the catchment has a low response to rainfall at short time scales, though this progressively changed as the time scale increased, with strong correlations (≥0.70) observed after 12 months. Analysis using individual monthly series showed that the response time reduced to 3 months in October.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2017, Taylor & Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in Hydrological Sciences Journal on 23 November 2017, available online: http://dx.doi.org/10.1080/02626667.2017.1409427 |
Keywords: | standardized indicators, SPI, SSI, drought/floods monitoring, response time, Logone catchment, Lake Chad basin |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Nov 2017 16:05 |
Last Modified: | 23 Nov 2018 01:38 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/02626667.2017.1409427 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:123119 |