SciELO - Scientific Electronic Library Online

vol.31 issue5Evaluation of the leaf water potencial, soil humidity and air temperature on the pre-bloom of citrusMaize crop in alley cropping system with perennials legumes author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand




Related links


Ciência e Agrotecnologia

Print version ISSN 1413-7054On-line version ISSN 1981-1829


RIBEIRO, Bruno Teixeira et al. Comparasion of probability distribution models and estimative of the probable rainfall for the Barbacena County, MG. Ciênc. agrotec. [online]. 2007, vol.31, n.5, pp.1297-1302. ISSN 1413-7054.

Probabilistic studies involving climatic variables are of extreme importance for farming activities, construction, tourism, among others. Seeking to contribute for the planning of irrigate agriculture, this work had as objectives to compare adjusted probability distribution models to the monthly and decennial historical series and to estimate the probable rainfall for the Barbacena County, Minas Gerais State, Brazil. Rainfall data of December, January and February, from 1942 to 2003, were studied, constituting historical series with 62 years of observations. Daily rainfall depths were added for 10 and 30 days, applying Gama, log-Normal 2 and log-Normal 3 parameters probability distribution models. Probability distributions models, were compared with Qui-square statistical test, at 5% significance level. Probable rainfall was estimated for each period, using the best distribution, which was evaluated based on the smallest Qui-square value, for the probability occurrence levels of 75, 90 and 98%. Gama probability distribution was the most adequate model.

Keywords : Gama Probability Distribution Model; irrigation; agricultural planning; rainfall.

        · abstract in Portuguese     · text in Portuguese     · Portuguese ( pdf epdf )


Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License