卡齐纳州年平均降雨量的广义帕累托概率密度函数

Dauda Taofik O, Adetayo Adewale O
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引用次数: 0

摘要

利用尼日利亚气象服务研究所2003 -2018年的降雨数据,完成了对卡齐纳州降雨概率密度函数(pdf)的评估,并采用了最简洁的密度函数。对数据进行清洗、描述性统计,并通过参数化对一般帕累托分布、一般极值分布、Gumbel最大值分布、均匀分布和正态分布进行调查。结果表明,2003年至2018年,道拉的年平均降雨量最高,在75.667 mm至82.417 mm之间。Dutsin-Ma和Safana地方政府交替返回了最小的年平均降雨量,其范围在57500 mm(2009年Dutsin-Ma降雨量)和67.167 mm(2018年Safana年平均降雨量)之间。五个突出的pdf在每个站点中的表现顺序不同,但广义帕累托分布(GPD)在所有站点中排名最高。GPD (pdf中最简洁的)的分布特征为,均值为61.15098 (Duara)、58.93371 (Dutsinma)和79.20851 (Safana),方差为9212.603 (Duara)、6709.908 (Dutsinma)和6687.102 (Safana)。对年平均降雨量残差的目视分析表明,只有Dutsin-Ma的平均降雨量给出了最精确的参数估计。
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On the Generalized Pareto Probability Density Function of the Mean Annual Rainfall of Katsina State
This work was accomplished to assess the rainfall probability density function (pdf) of Katsina State and adopt the most parsimonious density function using 2003 –2018 rainfall data from the Nigeria Institute of Meteorological Services. The data were subjected to cleaning, descriptive statistics and investigation of five distribution functions (General pareto, general extreme value, Gumbel maximum, Uniform and Normal distribution) through parameterizations. The results intimated that Daura experienced the highest mean annual rainfall ranging between 75.667 mm for 2003 and 82.417 mm for 2018. Both Dutsin-Ma and Safana local Government returned the least mean annual rainfall alternately and it ranged between 57.500 mm (2009 rainfall for Dutsin-Ma) and 67.167 mm for 2018 mean annual rainfall of Safana. The order of performance of the five (5) prominent pdf in each of the sites differs but the Generalized Pareto distribution (GPD) ranked highest across all the sites. The distribution characteristics for the GPD (the most parsimonious of the pdf) are, mean = 61.15098 (Duara), 58.93371 (Dutsinma) and 79.20851 (Safana) and variance of 9212.603 (Duara), 6709.908 (Dutsinma) and 6687.102 (Safana). The examination of the visual analysis of the residuals of the mean annual rainfall indicated that only the mean rainfall for Dutsin-Ma gave the most precise parameter estimates.
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来源期刊
Songklanakarin Journal of Science and Technology
Songklanakarin Journal of Science and Technology Multidisciplinary-Multidisciplinary
CiteScore
1.10
自引率
0.00%
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0
审稿时长
25 weeks
期刊介绍: Songklanakarin Journal of Science and Technology (SJST) aims to provide an interdisciplinary platform for the dissemination of current knowledge and advances in science and technology. Areas covered include Agricultural and Biological Sciences, Biotechnology and Agro-Industry, Chemistry and Pharmaceutical Sciences, Engineering and Industrial Research, Environmental and Natural Resources, and Physical Sciences and Mathematics. Songklanakarin Journal of Science and Technology publishes original research work, either as full length articles or as short communications, technical articles, and review articles.
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