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

机译:内尔斯普雷特及其周边地区年最大日降雨量的统计分析

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摘要

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.
机译:内尔斯普雷特(Nelspruit)及其周围地区经常经历极高的年度最大每日日降水量(AMDR)事件,从而导致洪水灾害。这些洪水灾害导致洪水灾害,造成财产和生命损失。这项研究的主要目的是对引起洪水灾害的极端AMDR事件进行统计分析,这些事件继而又导致了内尔斯普雷特及其周围地区的洪水灾害。应用经验连续概率分布函数(ECPDF)和理论连续概率分布函数(TCPDF)对极高AMDR事件进行统计分析。确定的年最大日降雨量为100 mm。大于100毫米的事件被认为是导致洪水灾害的极端高事件。经验频率分析结果表明,洪灾的重现期为10年。在1、2、3、4和5年中至少发生一次洪灾事件的概率分别为0.10、0.19、0.27、0.34和0.41。广义逻辑PDF被认为是对内尔斯普雷特及其周边地区极端AMDR事件进行统计分析的最佳拟合理论PDF。这项研究的结果有助于理解可能导致洪水灾害的极端AMDR事件的频率和强度。研究结果可用于制定内尔斯普雷特及其周边地区的洪水灾害管理策略。

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