Spatial and temporal analysis of the mid-summer dry spells for the summer rainfall region of South Africa

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dc.contributor.author Mengistu, M.G.
dc.contributor.author Olivier, C.
dc.contributor.author Botai, Joel Ongego
dc.contributor.author Adeola, Abiodun Morakinyo
dc.contributor.author Daniel, S.
dc.date.accessioned 2022-04-14T11:38:39Z
dc.date.available 2022-04-14T11:38:39Z
dc.date.issued 2020-12
dc.description.abstract South Africa is frequently subjected to severe droughts and dry spells during the rainy season. As such, rainfall is one of the most significant factors limiting dryland crop production in South Africa. The mid-summer period is particularly important for agriculture since a lack of rain during this period negatively affects crop yields. Dry spell frequency analyses are used to investigate the impacts of sub-seasonal rainfall variability on crop yield, since seasonal rainfall totals alone do not explain the relationship between rainfall and crop yields. This study investigated the spatial and temporal occurrences of the mid-summer dry spells based on magnitude, length and time of occurrence in the major maize growing areas of the summer rainfall region of South Africa. Three thresholds of 5 mm, 10 mm, and 15 mm total rainfall for a pentad were used for the analysis of dry spells. Dry spell analysis showed that dry pentads occur during mid-summer with differing intensity, duration and frequency across the summer rainfall region. Annual frequency of dry pentads for the mid-summer period ranged between 0 and 4 pentads for the 5 mm threshold and 1 to 7 for the 10 mm and 15 mm thresholds. The non-parametric Mann-Kendall trend analysis of the dry pentads indicates that there is no significant trend in the frequency of dry spells at a 95% confidence level. The initial and conditional probabilities of getting a dry spell using the Markov chain model also showed that there is a 32% to 80% probability that a single pentad will be dry using the 15 mm threshold. There is a 5% to 48% probability of experiencing two consecutive dry pentads and 1% to 29% probability of getting three consecutive dry pentads. The duration and intensity of dry spells, as well as the Markov chain probabilities, showed a decrease in dry spells from west to east of the maize-growing areas of the summer rainfall region of South Africa. en_US
dc.description.department Geography, Geoinformatics and Meteorology en_US
dc.description.department School of Health Systems and Public Health (SHSPH) en_US
dc.description.department UP Centre for Sustainable Malaria Control (UP CSMC) en_US
dc.description.librarian pm2022 en_US
dc.description.sponsorship The Water Research Commission and the South African Weather Service. en_US
dc.description.uri https://watersa.net en_US
dc.identifier.citation Mengistu, MG, Olivier, C, Botai, JO, Adeola, AM, & Daniel, S. (2021). Spatial and temporal analysis of the mid-summer dry spells for the summer rainfall region of South Africa. Water SA, 47(1), 76-87. https://dx.doi.org/10.17159/wsa/2021.v47.i1.9447 en_US
dc.identifier.issn 0378-4738 (print)
dc.identifier.issn 1816-7950 (online)
dc.identifier.other 10.17159/wsa/2021.v47.i1.9447
dc.identifier.uri https://repository.up.ac.za/handle/2263/84897
dc.language.iso en en_US
dc.publisher Water Research Commission en_US
dc.rights © The Author(s). Published under a Creative Commons Attribution 4.0 International Licence (CC BY 4.0). en_US
dc.subject Pentad rainfall en_US
dc.subject Mid-summer en_US
dc.subject Dry spells en_US
dc.subject Markov chain model en_US
dc.subject South Africa (SA) en_US
dc.title Spatial and temporal analysis of the mid-summer dry spells for the summer rainfall region of South Africa en_US
dc.type Article en_US


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