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

dc.contributor.authorBotai, Christina M.
dc.contributor.authorBotai, Joel Ongego
dc.contributor.authorAdeola, Abiodun Morakinyo
dc.contributor.authorDe Wit, Jaco P.
dc.contributor.authorNcongwane, Katlego P.
dc.contributor.authorZwane, Nosipho Ntombani
dc.date.accessioned2021-02-15T09:55:24Z
dc.date.available2021-02-15T09:55:24Z
dc.date.issued2020-07-08
dc.description.abstractThis 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.departmentGeography, Geoinformatics and Meteorologyen_ZA
dc.description.departmentUP Centre for Sustainable Malaria Control (UP CSMC)en_ZA
dc.description.librarianam2021en_ZA
dc.description.sponsorshipThe Water Research Commission, South Africaen_ZA
dc.description.urihttp://www.mdpi.com/journal/wateren_ZA
dc.identifier.citationBotai, 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.issn2073-4441 (online)
dc.identifier.other10.3390/w12071938
dc.identifier.urihttp://hdl.handle.net/2263/78615
dc.language.isoenen_ZA
dc.publisherMDPI Publishingen_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.subjectDroughten_ZA
dc.subjectDependence measureen_ZA
dc.subjectStandardized precipitation indexen_ZA
dc.subjectCopulaen_ZA
dc.subjectReturn periodsen_ZA
dc.titleDrought risk analysis in the Eastern Cape Province of South Africa : the copula lensen_ZA
dc.typeArticleen_ZA

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