Probable monthly rainfall associated with distinct biomes of Mato Grosso do Sul state
The aim of this study was to determine the probable monthly rainfall for the state of Mato Grosso do Sul, considering the level of 75% probability, and study the spatial distribution associated with its different biomes. The rainfall data of 32 stations (sites) in the state of Mato Grosso do Sul we...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidade Federal de Uberlândia
2017-05-01
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| Series: | Bioscience Journal |
| Subjects: | |
| Online Access: | https://seer-dev.ufu.br/index.php/biosciencejournal/article/view/34944 |
| _version_ | 1818287867958394880 |
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| author | Paulo Eduardo Teodoro Carlos Antonio da Silva Junior José Francisco Oliveira-Junior Rafael Coll Delgado Givanildo de Gois Caio Cezar Guedes Correa Francisco Eduardo Torres |
| author_facet | Paulo Eduardo Teodoro Carlos Antonio da Silva Junior José Francisco Oliveira-Junior Rafael Coll Delgado Givanildo de Gois Caio Cezar Guedes Correa Francisco Eduardo Torres |
| author_sort | Paulo Eduardo Teodoro |
| collection | DOAJ |
| description |
The aim of this study was to determine the probable monthly rainfall for the state of Mato Grosso do Sul, considering the level of 75% probability, and study the spatial distribution associated with its different biomes. The rainfall data of 32 stations (sites) in the state of Mato Grosso do Sul were collected in the period 1954-2013. In each of the 384 series, the average monthly rainfall was calculated, for at least 30 years of observation. The Kolmogorov-Smirnov adhesion test was applied to the rainfall time series to check the fit of the data to a normal distribution. The likely fallout was estimated at 75% probability, using the normal probability distribution and, subsequently, it was adopted the method of Ordinary Kriging interpolation mathematics to spatial data. Based on the likely monthly precipitation estimated, the State of Mato Grosso do Sul possess three distinct periods, with the precipitation associated with different biomes: the rainy season (between the months November to March, where increased precipitation occurred in the Savanna biome), dry season (between the months from June to August, when the highest rainfall occurred in the Atlantic Forest) and transition period (April and May and September and October).
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| first_indexed | 2024-12-13T01:47:19Z |
| format | Article |
| id | doaj.art-39b0882e41524a88932c12d0e6d8736f |
| institution | Directory Open Access Journal |
| issn | 1981-3163 |
| language | English |
| last_indexed | 2024-12-13T01:47:19Z |
| publishDate | 2017-05-01 |
| publisher | Universidade Federal de Uberlândia |
| record_format | Article |
| series | Bioscience Journal |
| spelling | doaj.art-39b0882e41524a88932c12d0e6d8736f2022-12-22T00:03:36ZengUniversidade Federal de UberlândiaBioscience Journal1981-31632017-05-01333Probable monthly rainfall associated with distinct biomes of Mato Grosso do Sul state Paulo Eduardo Teodoro0Carlos Antonio da Silva Junior1José Francisco Oliveira-Junior2Rafael Coll Delgado3Givanildo de Gois4Caio Cezar Guedes Correa5Francisco Eduardo Torres6UFVUniversidade do Estado do Mato GrossoUFRRJUFRRJUFRRJUENFUEMS The aim of this study was to determine the probable monthly rainfall for the state of Mato Grosso do Sul, considering the level of 75% probability, and study the spatial distribution associated with its different biomes. The rainfall data of 32 stations (sites) in the state of Mato Grosso do Sul were collected in the period 1954-2013. In each of the 384 series, the average monthly rainfall was calculated, for at least 30 years of observation. The Kolmogorov-Smirnov adhesion test was applied to the rainfall time series to check the fit of the data to a normal distribution. The likely fallout was estimated at 75% probability, using the normal probability distribution and, subsequently, it was adopted the method of Ordinary Kriging interpolation mathematics to spatial data. Based on the likely monthly precipitation estimated, the State of Mato Grosso do Sul possess three distinct periods, with the precipitation associated with different biomes: the rainy season (between the months November to March, where increased precipitation occurred in the Savanna biome), dry season (between the months from June to August, when the highest rainfall occurred in the Atlantic Forest) and transition period (April and May and September and October). https://seer-dev.ufu.br/index.php/biosciencejournal/article/view/34944Atlantic ForestSwampBrazilian SavannaNormal distribution. |
| spellingShingle | Paulo Eduardo Teodoro Carlos Antonio da Silva Junior José Francisco Oliveira-Junior Rafael Coll Delgado Givanildo de Gois Caio Cezar Guedes Correa Francisco Eduardo Torres Probable monthly rainfall associated with distinct biomes of Mato Grosso do Sul state Bioscience Journal Atlantic Forest Swamp Brazilian Savanna Normal distribution. |
| title | Probable monthly rainfall associated with distinct biomes of Mato Grosso do Sul state |
| title_full | Probable monthly rainfall associated with distinct biomes of Mato Grosso do Sul state |
| title_fullStr | Probable monthly rainfall associated with distinct biomes of Mato Grosso do Sul state |
| title_full_unstemmed | Probable monthly rainfall associated with distinct biomes of Mato Grosso do Sul state |
| title_short | Probable monthly rainfall associated with distinct biomes of Mato Grosso do Sul state |
| title_sort | probable monthly rainfall associated with distinct biomes of mato grosso do sul state |
| topic | Atlantic Forest Swamp Brazilian Savanna Normal distribution. |
| url | https://seer-dev.ufu.br/index.php/biosciencejournal/article/view/34944 |
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