Frequency analysis of agricultural drought of maize in Sabie River catchment in South Africa

Jàmbá: Journal of Disaster Risk Studies

 
 
Field Value
 
Title Frequency analysis of agricultural drought of maize in Sabie River catchment in South Africa
 
Creator Masereka, Eric M. Ochieng, George M. Snyman, Jacques
 
Subject civil engineering; water resources empirical frequency analysis; stochastic frequency analysis; root zone; water balance model; agricultural drought
Description Maize (Zea mays L.) is a staple food in South Africa. Under dryland farming, drought is a major limiting factor for maize production. The yield of maize is drastically reduced when rainfall is limited and erratic during the growing season. In order to formulate strategies of reducing the impact of drought on maize production, it is necessary to analyse the magnitude and frequency of drought. The objective of this study was to carry out the magnitude and frequency analysis of agricultural drought events of maize in the Sabie River catchment in order to formulate methods of reducing the impact of drought on maize production in the catchment. The maize growing season in the Sabie River catchment begins in October and ends in February the following year. In this study, the maize growing season was divided into three growing periods based on the month maize is planted. The growing periods were: October to December, November to January and December to February. Simple water balance model in the root zone was applied to determine the minimum amount of rainfall required to meet the water requirement of maize in each growing period in all the eight rainfall zones into which the Sabie River catchment is divided. Empirical frequency analysis and stochastic frequency analysis of the agricultural drought events of maize were carried out. From the study, the return period of agricultural drought events of maize was found to be different for each rainfall zone, and the growing period ranges from 1.78 years to 2.68 years. These results are important for hydrological modellers in that they show that it is necessary to determine the best fit probability distribution for frequency analysis of hydrological events rather than assuming one as the best fit. In all rainfall zones, maize was least prone to drought in the growing period of October to December. Based on the results of the study, development of water resource infrastructure for irrigation and adoption of drought-tolerant varieties of maize was recommended to reduce the high risk of agricultural drought of maize in the Sabie River catchment.
 
Publisher AOSIS
 
Contributor DARDLAE
Date 2019-11-06
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — Frequency Analysis
Format text/html application/epub+zip text/xml application/pdf
Identifier 10.4102/jamba.v11i1.549
 
Source Jàmbá: Journal of Disaster Risk Studies; Vol 11, No 1 (2019); 11 pages 1996-1421 2072-845X
 
Language eng
 
Relation
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:

https://jamba.org.za/index.php/jamba/article/view/549/1593 https://jamba.org.za/index.php/jamba/article/view/549/1592 https://jamba.org.za/index.php/jamba/article/view/549/1594 https://jamba.org.za/index.php/jamba/article/view/549/1591
 
Coverage river catchment — —
Rights Copyright (c) 2019 Eric M. Masereka, George M. Ochieng, Jacques Snyman https://creativecommons.org/licenses/by/4.0
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