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Strong winds in South Africa, part 2: mapping of updated statistics

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dc.contributor.author Kruger, AC
dc.contributor.author Retief, JV
dc.contributor.author Goliger, Adam M
dc.date.accessioned 2013-11-19T05:39:58Z
dc.date.available 2013-11-19T05:39:58Z
dc.date.issued 2013-08
dc.identifier.citation Kruger, A.C, Retief, J.V and Goliger, A.M. 2013. Strong winds in South Africa, part 2: mapping of updated statistics. Journal of the South African Institution of Civil Engineering, vol. 55(2), pp 46-58 en_US
dc.identifier.issn 1021-2019
dc.identifier.uri http://www.scielo.org.za/scielo.php?pid=S1021-20192013000200006&script=sci_arttext
dc.identifier.uri http://hdl.handle.net/10204/7073
dc.description Copyright: 2013 South African Institution of Civil Engineering. Published in Journal of the South African Institution of Civil Engineering, vol. 55(2), pp 46-58. en_US
dc.description.abstract Although wind is the most important environmental action on buildings and structures in South Africa, the last comprehensive strong wind analysis was conducted in 1985. The current wind loading code is still based on the strong wind quantiles forthcoming from that analysis. Wind data available for strong wind analysis has increased about five-fold, due to the employment of automatic weather station (AWS) technology by the South African Weather Service. This makes an updated assessment of strong winds in South Africa imperative. Based on the estimation of strong winds as reported in the accompanying paper (see page 29 in this volume), the spatial interpolation of 50-year characteristic strong wind values to provide updated design wind speed maps is reported in this paper. In addition to taking account of short recording periods and the effects of the mixed strong wind climate, the exposure of the weather stations was considered and correction factors applied. Quantile values were adjusted to compensate for the small data samples. The resultant design maps reveal regions of relatively high and low quantiles, but with an improved relationship with physical conditions compared to the previous analyses. Consequently some significant differences in quantiles between the present and previous analyses were found. The complexity of the resulting strong wind maps is not only the result of the improved resolution of the larger number of weather stations, but also due to an improved identification of the effects of physical factors such as the mixed strong wind climate and topography. Guidance can also be derived for future updating, such as incorporating accumulated observations and improved coverage by additional AWS in critical regions. en_US
dc.language.iso en en_US
dc.publisher South African Institution of Civil Engineering (SAICE) en_US
dc.relation.ispartofseries Workflow;11710
dc.subject Strong wind climate en_US
dc.subject Wind speed statistics en_US
dc.subject Design wind speed en_US
dc.subject Wind maps en_US
dc.title Strong winds in South Africa, part 2: mapping of updated statistics en_US
dc.type Article en_US
dc.identifier.apacitation Kruger, A., Retief, J., & Goliger, A. M. (2013). Strong winds in South Africa, part 2: mapping of updated statistics. http://hdl.handle.net/10204/7073 en_ZA
dc.identifier.chicagocitation Kruger, AC, JV Retief, and Adam M Goliger "Strong winds in South Africa, part 2: mapping of updated statistics." (2013) http://hdl.handle.net/10204/7073 en_ZA
dc.identifier.vancouvercitation Kruger A, Retief J, Goliger AM. Strong winds in South Africa, part 2: mapping of updated statistics. 2013; http://hdl.handle.net/10204/7073. en_ZA
dc.identifier.ris TY - Article AU - Kruger, AC AU - Retief, JV AU - Goliger, Adam M AB - Although wind is the most important environmental action on buildings and structures in South Africa, the last comprehensive strong wind analysis was conducted in 1985. The current wind loading code is still based on the strong wind quantiles forthcoming from that analysis. Wind data available for strong wind analysis has increased about five-fold, due to the employment of automatic weather station (AWS) technology by the South African Weather Service. This makes an updated assessment of strong winds in South Africa imperative. Based on the estimation of strong winds as reported in the accompanying paper (see page 29 in this volume), the spatial interpolation of 50-year characteristic strong wind values to provide updated design wind speed maps is reported in this paper. In addition to taking account of short recording periods and the effects of the mixed strong wind climate, the exposure of the weather stations was considered and correction factors applied. Quantile values were adjusted to compensate for the small data samples. The resultant design maps reveal regions of relatively high and low quantiles, but with an improved relationship with physical conditions compared to the previous analyses. Consequently some significant differences in quantiles between the present and previous analyses were found. The complexity of the resulting strong wind maps is not only the result of the improved resolution of the larger number of weather stations, but also due to an improved identification of the effects of physical factors such as the mixed strong wind climate and topography. Guidance can also be derived for future updating, such as incorporating accumulated observations and improved coverage by additional AWS in critical regions. DA - 2013-08 DB - ResearchSpace DP - CSIR KW - Strong wind climate KW - Wind speed statistics KW - Design wind speed KW - Wind maps LK - https://researchspace.csir.co.za PY - 2013 SM - 1021-2019 T1 - Strong winds in South Africa, part 2: mapping of updated statistics TI - Strong winds in South Africa, part 2: mapping of updated statistics UR - http://hdl.handle.net/10204/7073 ER - en_ZA


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