Functions of probability for fitting monthly rainfall in sites of Mato Grosso do Sul state
| Autor: | Elias Rodrigues da Cunha, Caio Cezar Guedes Correa, Francisco Eduardo Torres, Victor Matheus Bacani, Denise Prevedel Carpisto, Alberto Cargnelutti Filho, Paulo Eduardo Teodoro, Larissa Pereira Ribeiro |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Wet season
Hydrology Exponential distribution gamma distribution 010504 meteorology & atmospheric sciences Agricultural Sciences QH301-705.5 Probability density function Agriculture 04 agricultural and veterinary sciences 01 natural sciences Normal distribution Geography 040103 agronomy & agriculture Gamma distribution 0401 agriculture forestry and fisheries Probability distribution exponential distribution normal distribution Biology (General) General Agricultural and Biological Sciences Agricultural planning time series adherence 0105 earth and related environmental sciences |
| Zdroj: | Bioscience Journal, Vol 32, Iss 2 (2016) Bioscience Journal ; Vol. 32 No. 2 (2016): Mar./Apr.; 319-327 Bioscience Journal ; v. 32 n. 2 (2016): Mar./Apr.; 319-327 Bioscience journal Universidade Federal de Uberlândia (UFU) instacron:UFU |
| ISSN: | 1981-3163 |
| Popis: | The identification of the probability distribution function for the representation of the monthly rainfall is relevant in agricultural planning, mainly regard to the establishment of crops. The aim of this work was to verify the probability distribution (exponential, gamma or normal) which best fits to data monthly rainfall of 14 sites in the state of Mato Grosso do Sul. Rainfall data of 14 stations (sites) of the State of Mato Grosso do Sul it were obtained from the National Water Agency (ANA) database, collected in the period 1975 - 2013. At each of the 168 time series of monthly rainfall was applied the Kolmogorov-Smirnov test to assess the fit to probability distributions exponential, gamma and normal. The normal probability distribution presented the best fit to monthly rainfall series of Mato Grosso do Sul and it can be used for the estimation the monthly rainfall, especially in the rainy season months (October to March). The exponential probability distribution can be used for the estimation of monthly rainfall in the driest months of the year (May to September). Thus, we recommend that these distributions be used in future research, aimed to estimate the probable rainfall for the Mato Grosso do Sul State. |
| Databáze: | OpenAIRE |
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