Drought risk analysis in the Eastern Cape Province of South Africa : the copula lens

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dc.contributor.author Botai, Christina M.
dc.contributor.author Botai, Joel Ongego
dc.contributor.author Adeola, Abiodun Morakinyo
dc.contributor.author De Wit, Jaco P.
dc.contributor.author Ncongwane, Katlego P.
dc.contributor.author Zwane, Nosipho Ntombani
dc.date.accessioned 2021-02-15T09:55:24Z
dc.date.available 2021-02-15T09:55:24Z
dc.date.issued 2020-07-08
dc.description.abstract This research study was carried out to investigate the characteristics of drought based on the joint distribution of two dependent variables, the duration and severity, in the Eastern Cape Province, South Africa. The drought variables were computed from the Standardized Precipitation Index for 6- and 12-month accumulation period (hereafter SPI-6 and SPI-12) time series calculated from the monthly rainfall data spanning the last five decades. In this context, the characteristics of climatological drought duration and severity were based on multivariate copula analysis. Five copula functions (from the Archimedean and Elliptical families) were selected and fitted to the drought duration and severity series in order to assess the dependency measure of the two variables. In addition, Joe and Gaussian copula functions were considered and fitted to the drought duration and severity to assess the joint return periods for the dual and cooperative cases. The results indicate that the dependency measure of drought duration and severity are best described by Tawn copula families. The dependence structure results suggest that the study area exhibited low probability of drought duration and high probability of drought severity. Furthermore, the multivariate return period for the dual case is found to be always longer across all the selected univariate return periods. Based on multivariate analysis, the study area (particularly Bu alo City, OR Tambo and Alfred Zoo regions) is determined to have higher/lower risks in terms of the conjunctive/cooperative multivariate drought risk (copula) probability index. The results of the present study could contribute towards policy and decision making through e.g., formulation of the forward-looking contingent plans for sustainable management of water resources and the consequent applications in the preparedness for and adaptation to the drought risks in the water-linked sectors of the economy. en_ZA
dc.description.department Geography, Geoinformatics and Meteorology en_ZA
dc.description.department UP Centre for Sustainable Malaria Control (UP CSMC) en_ZA
dc.description.librarian am2021 en_ZA
dc.description.sponsorship The Water Research Commission, South Africa en_ZA
dc.description.uri http://www.mdpi.com/journal/water en_ZA
dc.identifier.citation Botai, C.M., Botai, J.O., Adeola, A.M. et al. 2020, 'Drought risk analysis in the Eastern Cape Province of South Africa : the copula lens', Water, vol. 12, no. 7, art. 1938, pp. 1-20. en_ZA
dc.identifier.issn 2073-4441 (online)
dc.identifier.other 10.3390/w12071938
dc.identifier.uri http://hdl.handle.net/2263/78615
dc.language.iso en en_ZA
dc.publisher MDPI Publishing en_ZA
dc.rights © 2020 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. en_ZA
dc.subject Drought en_ZA
dc.subject Dependence measure en_ZA
dc.subject Standardized precipitation index en_ZA
dc.subject Copula en_ZA
dc.subject Return periods en_ZA
dc.title Drought risk analysis in the Eastern Cape Province of South Africa : the copula lens en_ZA
dc.type Article en_ZA


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