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  • 标题:Spatial distribution of temporal precipitation contrasts in South Africa
  • 本地全文:下载
  • 作者:Christina M. Botai ; Joel O. Botai ; Abiodun M. Adeola
  • 期刊名称:South African Journal of Science
  • 印刷版ISSN:0038-2353
  • 电子版ISSN:1996-7489
  • 出版年度:2018
  • 卷号:114
  • 期号:7-8
  • 页码:70-78
  • DOI:10.17159/sajs.2018/20170391
  • 语种:English
  • 出版社:The Foundation for Research Development
  • 摘要:The focus of the present study was to investigate the spatial-temporal variability and trends of precipitation concentration across South Africa using the Tropical Rainfall Measuring Mission (TRMM) 3B42 version 7 satellite precipitation data sets spanning 1998–2015. In the analysis, the precipitation concentration index (PCI) was used to infer the variability of temporal precipitation contrasts and the spatial distributions at annual, seasonal and supra-seasonal timescales. The results indicate that precipitation concentration across South Africa exhibits noticeable spatial-temporal variability. In terms of PCI classification criteria, the precipitation distribution ranges from relatively uniform (mainly in the central and southern interior of South Africa) to highly irregular (especially to the northeastern and western parts of South Africa) at annual timescales. At seasonal timescales, the precipitation distribution is uniform during December–February season, moderate during March–May and September–November seasons while during the June–August season, the precipitation distribution is highly irregular. Furthermore, during the 1998–2015 period, there exists a spatial and temporal pattern of PCI trends which are generally statistically insignificant. The PCI analysis results reported in this study are essential because they provide valuable information on the long- term total variability in the precipitation records across South Africa. In particular, this study contributes towards evaluating the spatial contrasts or concentration of the different accumulated amounts of the received precipitation. Results from this study have important scientific and practical applications in hydrological hazard risks (floods and droughts) and soil erosion monitoring.
  • 关键词:precipitation concentration index;spatial-temporal variation;rainfall intensity;trends analysis;rainfall variability
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