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 |