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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">SATNT</journal-id>
<journal-title-group>
<journal-title>Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie</journal-title>
</journal-title-group>
<issn pub-type="ppub">0254-3486</issn>
<issn pub-type="epub">2222-4173</issn>
<publisher>
<publisher-name>AOSIS</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">SATNT-36-1469</article-id>
<article-id pub-id-type="doi">10.4102/satnt.v36i1.1469</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Referaatopsomming</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>&#x2019;n Ruimtelik analitiese ondersoek na seisoenale re&#x00EB;nval- en temperatuurpatrone oor Suider-Afrika</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>van der Walt</surname>
<given-names>Adriaan J.</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Barker</surname>
<given-names>Charles H.</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<aff id="AF0001"><label>1</label>Department of Geography, University of the Free State, South Africa</aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><bold>Corresponding author:</bold> Adriaan van der Walt, <email xlink:href="vanderwalta@ufs.ac.za">vanderwalta@ufs.ac.za</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>05</day><month>07</month><year>2017</year></pub-date>
<pub-date pub-type="collection"><year>2017</year></pub-date>
<volume>36</volume>
<issue>1</issue>
<elocation-id>1469</elocation-id>
<permissions>
<copyright-statement>&#x00A9; 2017. The Authors</copyright-statement>
<copyright-year>2017</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.0/">
<license-p>Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License.</license-p>
</license>
</permissions>
<abstract>
<p><bold>A spatial-analytical investigation of the rainfall and temperature patterns over Southern Africa.</bold> Southern Africa is predominantly a semi-arid region with generally a high interannual rainfall variability and pronounced seasonal cycle. Climate variability and long-term change thus pose serious challenges for Southern Africa. The aim of this study is to investigate the seasonal trends of rainfall and surface temperature from 1950 to 1999.</p>
</abstract>
</article-meta>
</front>
<body>
<sec id="s0001">
<title></title>
<p>Kennis van klimaatsveranderlikheid is veral belangrik vir volhoubare ekonomiese groei in tye van toenemende druk op die aarde se beperkte hulpbronne. Onlangse verbeteringe in die globale klimaatwaarnemingstelsel deur middel van toenemende oseaandata, verbeterde satelliettegnologie en vooruitgang in klimaatmodelle speel &#x2019;n groot rol in die teenwerking van die toenemende druk. Institusionele stelsels word ook ontwikkel om hierdie vooruitgang in die ondersteuning van volhoubare ontwikkeling te benut, deur middel van die vermindering van risiko wat verband hou met uiterste klimaatgebeure. Klimaatinligting word nou direk aangewend in baie ontwikkelende lande tot &#x2019;n wye reeks aktiwiteite, insluitende landboupraktyke, hulpbronbestuur, ekonomiese beplanning, internasionale betrekkinge, hidrologie en gesondheid (Jury <xref ref-type="bibr" rid="CIT0001">2002</xref>).</p>
<p>Suider-Afrika is hoofsaaklik &#x2019;n semidro&#x00EB; streek met &#x2019;n algemeen ho&#x00EB; interjaarlikse re&#x00EB;nvalwisselvalligheid en seisoenale siklus, wat &#x2019;n ho&#x00EB; veranderlike hidrologiese reaksie beide in tyd en ruimte tot gevolg het (Warburton <xref ref-type="bibr" rid="CIT0004">2005</xref>). Vir diegene wat probeer om &#x2019;n lewe in die landbousektor te maak, dra klimaattendense by tot die kompleksiteit van die besluitnemingsproses. Langtermyn-klimaatsverandering, weens die verhoging van atmosferiese konsentrasies van kweekhuisgasse kan die klimaatsveranderlikheid verder be&#x00EF;nvloed. Dit sluit in die verandering van beide die frekwensie en omvang van uiterste gebeure (O&#x2019;Brien &#x0026; Vogel <xref ref-type="bibr" rid="CIT0002">2003</xref>).</p>
<p>Die geprojekteerde impak van sekere modelle en studies van klimaatsverandering dui op &#x2019;n afname in potensi&#x00EB;le oeste in die meeste subtropiese en tropiese streke, afname in watervariasie in die subtropiese streke en toenames in droogtes en ander uiterste gebeure. Dus is dit belangrik om enige statisties relevante tendense in temperatuur, re&#x00EB;nval, droogtefrekwensies of stroomvloei te bepaal sodat beplanning kan plaasvind om strategie&#x00EB; te ontwikkel en te implementeer wat kan help om risiko&#x2019;s te verminder (O&#x2019;Brien &#x0026; Vogel <xref ref-type="bibr" rid="CIT0002">2003</xref>).</p>
<p>Klimaatveranderlikheid en langtermynverandering bied dus ernstige uitdagings vir Suider-Afrika. Hierdie uitdagings word as genoeg rede beskou om klimaatveranderlikheid te bestudeer, deur te fokus op r&#x00EB;envalpatrone, asook die patroon van oppervlaktemperature oor Suider-Afrika.</p>
<p>Suid-Afrika, saam met Swaziland en Lesotho, is deur die Departement van Waterwese en Bosbou (DWWB) in &#x2019;n hi&#x00EB;rargiese stelsel van opvanggebiede afgebaken. Die prim&#x00EA;re opvanggebiede dek al die groot riviere in die streek en word op hulle beurt onderverdeel in sekond&#x00EA;re, dan tersi&#x00EA;re opvangsgebiede en uiteindelik, op die vierde vlak, kwatern&#x00EA;re opvangsgebiede (Schulze et al. <xref ref-type="bibr" rid="CIT0003">2005</xref>). Re&#x00EB;nval- en temperatuurdata van 1946 in die kwatern&#x00EA;re opvangsgebiede in Suid-Afrika, Swaziland en Lesotho is oor die tydperk van 1950 tot 1999 as toevoerdata gebruik. Die korrelasieko&#x00EB;ffisi&#x00EB;nte van elke kwatern&#x00EA;re opvangsgebied is bepaal. Met behulp van die Geografiese Inligtingstelsel ArcMap, is kaarte geproduseer deur gebruik te maak van die warmkolanalise-instrument. Die warmkolanalise-instrument bereken die Getis-Ord Gi&#x002A;-statistiek vir elke waarde in die datastel. Resultate toon duidelike tendense ten opsigte van re&#x00EB;nval en oppervlaktemperature binne die verskillende seisoene aan.</p>
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<ref-list id="references">
<title>Literatuurverwysings</title>
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</ref-list>
<fn-group>
<fn><p><bold>How to cite this article:</bold> Van der Walt, A.J. &#x0026; Barker, C.H., 2017, &#x2018;&#x2019;n Ruimtelik analitiese ondersoek na seisoenale re&#x00EB;nval- en temperatuurpatrone oor Suider-Afrika&#x2019;, <italic>Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie</italic> 36(1), a1469. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4102/satnt.v36i1.1469">https://doi.org/10.4102/satnt.v36i1.1469</ext-link></p></fn>
<fn><p><bold>Note:</bold> A selection of conference proceedings: Student Symposium in Science, 27&#x2013;28 October 2016, North-West University, South Africa. Organising committee: Mr Rudi Pretorius (Department of Geography, University of South Africa); Dr Hertzog Bisset (South African Nuclear Energy Corporation [NECSA]); Dr Andrew Swarts (School of Physical and Chemical Sciences, North-West University).</p></fn>
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