干旱区生态环境知识资源中心(Arid): Mixture models of probability distributions applied to rainfall in the state of Pernambuco, Brazil

Arid

DOI	10.4025/actascitechnol.v45i1.60621
	Mixture models of probability distributions applied to rainfall in the state of Pernambuco, Brazil
	da Silva, Luciano Pereira; Pinto Santiago, Edgo Jackson; Gomes-Silva, Frank; Alves da Silva, Antonio Samuel; Cezar Menezes, Romulo Simoes
通讯作者	Gomes-Silva, F
来源期刊	ACTA SCIENTIARUM-TECHNOLOGY
ISSN	1806-2563
EISSN	1807-8664
出版年	2023
卷号	45
英文摘要	The Brazilian semi-arid region is recurrently affected by the scarcity of water that marks the landscape as it prints periods of severe drought. Therefore, rainfall in this region greatly influences plant growth in regional hydrological processes that affect droughts or floods. It is of practical interest to assess how changes in rainfall patterns occur to anticipate hydrological dynamics. However, this is not easy as climate change reshapes global hydrology. Thus, assertive forecasting has become rare and imputed estimates of a reasonable degree of uncertainty. The objective of this work was to verify from the mixture of exponential, gamma, beta, log-normal, Weibull, normal, log-logistic, and exponentiated log-logistic distributions, which best fits the monthly rainfall of the state of Pernambuco, Brazil. The data used came from 133 monthly rainfall series (1950 to 2012) distributed over the state of Pernambuco. The Maximum Likelihood Method estimated all parameters. The Kolmogorov-Smirnov adherence test was applied at 5% probability to assess the adjustments. The least rejected distributions in the adherence test were Weibull, gamma, and beta; October presented the smallest number of distributions considered adequate to model monthly rainfall. More than 99% of the rain gauge stations had some adequate probabilistic distribution to model monthly rainfall in March. For most months, except for March, the Weibull distribution was the most suitable for modeling the monthly rainfall in the vast majority of rain gauge stations of Pernambuco.
英文关键词	rain semi-arid distribution mixture modeling
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000986142400019
WOS关键词	PRECIPITATION ; MUNICIPALITY
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394972
推荐引用方式 GB/T 7714	da Silva, Luciano Pereira,Pinto Santiago, Edgo Jackson,Gomes-Silva, Frank,et al. Mixture models of probability distributions applied to rainfall in the state of Pernambuco, Brazil[J],2023,45.
APA	da Silva, Luciano Pereira,Pinto Santiago, Edgo Jackson,Gomes-Silva, Frank,Alves da Silva, Antonio Samuel,&Cezar Menezes, Romulo Simoes.(2023).Mixture models of probability distributions applied to rainfall in the state of Pernambuco, Brazil.ACTA SCIENTIARUM-TECHNOLOGY,45.
MLA	da Silva, Luciano Pereira,et al."Mixture models of probability distributions applied to rainfall in the state of Pernambuco, Brazil".ACTA SCIENTIARUM-TECHNOLOGY 45(2023).