Data/hora: 21/09/2024 07:28:45

Biblioteca(s): 	Embrapa Unidades Centrais.	
Data corrente: 	17/07/2017	
Data da última atualização: 	18/07/2017	
Autoria: 	ALMEIA, A. Q. de; SOUZA, R. M. S.; LOUREIRO, D. C.; PEREIRA, D. dos R.; CRUZ, M. A. S.; VIEIRA, J. S.	
Afiliação: 	André Quintão de Almeida, Universidade Federal de Sergipe (UFS), Departamento de Engenharia Agrícola; Rodolfo Marcondes Silva Souza, Universidade Federal de Pernambuco, Departamento de Energia Nuclear; Diego Campana Loureiro, Universidade Federal de Sergipe (UFS), Departamento de Engenharia Agrícola; Donizete dos Reis Pereira; MARCUS AURELIO SOARES CRUZ, CPATC; Jodnes Sobreira Vieira, UFS, Departamento de Zootecnia.	
Título: 	Modelling the spatial dependence of the rainfall erosivity index in the Brazilian semiarid region.	
Ano de publicação: 	2017	
Fonte/Imprenta: 	Pesquisa Agropecuária Brasileira, Brasília, DF, v. 52, n. 6, p. 371-379, jun. 2017.	
Idioma: 	Inglês	
Notas: 	Título em português: Modelagem da dependência espacial do índice de erosividade das chuvas no semiárido brasileiro.	
Conteúdo: 	The objective of this work was to model the spatial dependence and to map the rainfall erosivity index (EI30) in the semiarid region of Brazil. Registers of monthly erosivity from 210 rainfall stations were used, with daily time series equal to or greater than 15 years. Based on the values of the EI30, a spatial dependence model was made by adjusting the semivariogram. From the semivariogram models, erosivity isoline maps were generated with a kriging interpolator. According to the historical data series, the maximum monthly average value of the EI30 was observed in March, and the annual value ranged from 1,439 to 5,864 MJ mm ha-1 per year, classified as low and moderate, respectively. The highest EI30 values were obtained in the northern and southern extremes of the semiarid region. Average spatial dependence was observed for rainfall erosivity, in most months, especially with the spherical semivariogram model. The range of erosivity varied from 62 to 1,508 km for the monthly EI30 and was of approximately 1,046 km for the annual one. The applied model, with the validation of the semivariograms using the jackknife test, allows the spatialization of the EI30 for the semiarid region of Brazil.	
Palavras-Chave: 	EI30; Geoestatística; Nordeste; Semivariograma.	
Categoria do assunto: 	--	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/161848/1/Modelling-the-spatial-dependence.pdf	
Registro original: 	Embrapa Unidades Centrais (AI-SEDE)	
Exemplares: 	AI-SEDE - (61467-1) - UPE - AP - PP - 630.72081 - P474 -  - DIS