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Statistical analysis of annual maximum daily rainfall for Nelspruit and its environs

Nelspruit and its environs frequently experience extreme high annual maximum daily rainfall (AMDR) events resulting in flood hazards. These flood hazards have caused flood disasters that have resulted in loss of property and lives. The main objective of this study was to carry out statistical analys...

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Detalles Bibliográficos
Autores principales: Masereka, Eric M., Ochieng, George M., Snyman, Jacques
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AOSIS 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6014055/
https://www.ncbi.nlm.nih.gov/pubmed/29955267
http://dx.doi.org/10.4102/jamba.v10i1.499
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author Masereka, Eric M.
Ochieng, George M.
Snyman, Jacques
author_facet Masereka, Eric M.
Ochieng, George M.
Snyman, Jacques
author_sort Masereka, Eric M.
collection PubMed
description Nelspruit and its environs frequently experience extreme high annual maximum daily rainfall (AMDR) events resulting in flood hazards. These flood hazards have caused flood disasters that have resulted in loss of property and lives. The main objective of this study was to carry out statistical analysis of extreme high AMDR events that have caused flood hazards, which in turn have caused flood disasters in Nelspruit and its environs. Empirical continuous probability distribution functions (ECPDF) and theoretical continuous probability distribution functions (TCPDF) were applied to carry out the statistical analysis of the extreme high AMDR events. Annual maximum daily rainfall event of magnitude 100 mm was identified as a threshold. Events > 100 mm were considered as extreme high events resulting in flood disasters. The results of empirical frequency analysis showed that the return period of flood disasters was 10 years. The occurrence probability of flood disaster event at least once in 1, 2, 3, 4 and 5 years was 0.10, 0.19, 0.27, 0.34 and 0.41, respectively. Generalised logistic PDF was identified as the best-fit theoretical PDF for statistical analysis of the extreme high AMDR events in Nelspruit and its environs. The results of this study contributed to the understanding of frequency and magnitude of extreme high AMDR events that could lead to flood disasters. The results could be applied in developing flood disaster management strategies in Nelspruit and its environs.
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spelling pubmed-60140552018-06-28 Statistical analysis of annual maximum daily rainfall for Nelspruit and its environs Masereka, Eric M. Ochieng, George M. Snyman, Jacques Jamba Original Research Nelspruit and its environs frequently experience extreme high annual maximum daily rainfall (AMDR) events resulting in flood hazards. These flood hazards have caused flood disasters that have resulted in loss of property and lives. The main objective of this study was to carry out statistical analysis of extreme high AMDR events that have caused flood hazards, which in turn have caused flood disasters in Nelspruit and its environs. Empirical continuous probability distribution functions (ECPDF) and theoretical continuous probability distribution functions (TCPDF) were applied to carry out the statistical analysis of the extreme high AMDR events. Annual maximum daily rainfall event of magnitude 100 mm was identified as a threshold. Events > 100 mm were considered as extreme high events resulting in flood disasters. The results of empirical frequency analysis showed that the return period of flood disasters was 10 years. The occurrence probability of flood disaster event at least once in 1, 2, 3, 4 and 5 years was 0.10, 0.19, 0.27, 0.34 and 0.41, respectively. Generalised logistic PDF was identified as the best-fit theoretical PDF for statistical analysis of the extreme high AMDR events in Nelspruit and its environs. The results of this study contributed to the understanding of frequency and magnitude of extreme high AMDR events that could lead to flood disasters. The results could be applied in developing flood disaster management strategies in Nelspruit and its environs. AOSIS 2018-03-26 /pmc/articles/PMC6014055/ /pubmed/29955267 http://dx.doi.org/10.4102/jamba.v10i1.499 Text en © 2018. The Authors https://creativecommons.org/licenses/by/4.0/ Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License.
spellingShingle Original Research
Masereka, Eric M.
Ochieng, George M.
Snyman, Jacques
Statistical analysis of annual maximum daily rainfall for Nelspruit and its environs
title Statistical analysis of annual maximum daily rainfall for Nelspruit and its environs
title_full Statistical analysis of annual maximum daily rainfall for Nelspruit and its environs
title_fullStr Statistical analysis of annual maximum daily rainfall for Nelspruit and its environs
title_full_unstemmed Statistical analysis of annual maximum daily rainfall for Nelspruit and its environs
title_short Statistical analysis of annual maximum daily rainfall for Nelspruit and its environs
title_sort statistical analysis of annual maximum daily rainfall for nelspruit and its environs
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6014055/
https://www.ncbi.nlm.nih.gov/pubmed/29955267
http://dx.doi.org/10.4102/jamba.v10i1.499
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