Modelling non-stationary annual maximum flood heights in the lower Limpopo River basin of Mozambique

Jàmbá: Journal of Disaster Risk Studies

 
 
Field Value
 
Title Modelling non-stationary annual maximum flood heights in the lower Limpopo River basin of Mozambique
 
Creator Maposa, Daniel Cochran, James J. Lesaoana, Maseka
 
Subject Applied Statistics, Statistics of Extremes nonstationary extremes; annual maxima; lower Limpopo River; generalised extreme value.
Description In this article we fit a time-dependent generalised extreme value (GEV) distribution to annual maximum flood heights at three sites: Chokwe, Sicacate and Combomune in the lower Limpopo River basin of Mozambique. A GEV distribution is fitted to six annual maximum time series models at each site, namely: annual daily maximum (AM1), annual 2-day maximum (AM2), annual 5-day maximum (AM5), annual 7-day maximum (AM7), annual 10-day maximum (AM10) and annual 30-day maximum (AM30). Non-stationary time-dependent GEV models with a linear trend in location and scale parameters are considered in this study. The results show lack of sufficient evidence to indicate a linear trend in the location parameter at all three sites. On the other hand, the findings in this study reveal strong evidence of the existence of a linear trend in the scale parameter at Combomune and Sicacate, whilst the scale parameter had no significant linear trend at Chokwe. Further investigation in this study also reveals that the location parameter at Sicacate can be modelled by a nonlinear quadratic trend; however, the complexity of the overall model is not worthwhile in fit over a time-homogeneous model. This study shows the importance of extending the time-homogeneous GEV model to incorporate climate change factors such as trend in the lower Limpopo River basin, particularly in this era of global warming and a changing climate.Keywords: nonstationary extremes; annual maxima; lower Limpopo River; generalised extreme value
 
Publisher AOSIS
 
Contributor Mozambique National Directorate of Water, NRF South Africa
Date 2016-05-12
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — —
Format text/html application/octet-stream text/xml application/pdf
Identifier 10.4102/jamba.v8i1.185
 
Source Jàmbá: Journal of Disaster Risk Studies; Vol 8, No 1 (2016); 9 pages 2072-845X 1996-1421
 
Language eng
 
Relation
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:

https://jamba.org.za/index.php/jamba/article/view/185/519 https://jamba.org.za/index.php/jamba/article/view/185/521 https://jamba.org.za/index.php/jamba/article/view/185/522 https://jamba.org.za/index.php/jamba/article/view/185/517
 
Coverage Southern Africa; SADC Region, Lower Limpopo River basin — —
Rights Copyright (c) 2016 Daniel Maposa, James J. Cochran, Maseka Lesaoana https://creativecommons.org/licenses/by/4.0
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