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| Registros recuperados : 6 | |
| 4. |  | BACK, A. J.; ALBERTON, J. V.; POLETO, C. Erosivity Index and Characteristics of Erosive Rainfall from the Far Western Region of Santa Catarina, Brazil. Journal of Environmental Engineering, Reston, Virginia, EUA, v. 144, n. 7, p. 1-12, 2018.| Biblioteca(s): Epagri-Sede. |
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| 6. | | BACK, A. J.; SOUZA, G. S.; GALATTO, S. L.; CORSEUIL, C. W.; POLETO, C. Erosivity index for Brasil based on Climatological Normals from 1991 to 2020. Holos, Natal, RN, v. 39, n. 3, p. 1-17, 2023.| Biblioteca(s): Epagri-Sede. |
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| Registros recuperados : 6 | |
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Registro Completo
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
21/06/2018 |
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Data da última atualização: |
21/06/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
Internacional - B |
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Autoria: |
BACK, A. J.; ALBERTON, J. V.; POLETO, C. |
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Título: |
Erosivity Index and Characteristics of Erosive Rainfall from the Far Western Region of Santa Catarina, Brazil. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Journal of Environmental Engineering, Reston, Virginia, EUA, v. 144, n. 7, p. 1-12, 2018. |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this study was to determine the erosivity index and to characterize the erosive rainfalls with respect to the far
western region of Santa Catarina. Four meteorological stations were used to determine the rainfall erosivity based on the index of the product
of the maximum rain intensity during a 30 min period and the kinetic energy of the rain (EI30), and the equations were adjusted to estimate the
EI30 value from the rainfall coefficient. Erosive rainfalls were classified, according to the pattern of temporal distribution, as Advanced,
Intermediate, and Late rainfall pattern. The erosive rainfalls represent, on average, 83?88% of the annual precipitation, and the value of
EI30 varies from 6,072 to 10,478 MJmmha−1 h−1 year−1. The adjusted equations can be used to estimate the rainfall erosivity in places
with only pluviometric data. Erosive rainfalls presented an average distribution of 51, 31, and 18%, respectively, of the Advanced, Intermediate,
and Late patterns. The maximum rainfall intensity of 30 min with 20% of frequency ranged from 21.8 to 33.6 mmh−1. For larger
frequency, no significant variation was observed between the time distribution patterns. |
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Palavras-Chave: |
EI30 index; erosivity; soil conservation. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 01805naa a2200181 a 4500
001 1127353
005 2018-06-21
008 2018 bl uuuu u00u1 u #d
100 1 $aBACK, A. J.
245 $aErosivity Index and Characteristics of Erosive Rainfall from the Far Western Region of Santa Catarina, Brazil.$h[electronic resource]
260 $c2018
520 $aThe objective of this study was to determine the erosivity index and to characterize the erosive rainfalls with respect to the far western region of Santa Catarina. Four meteorological stations were used to determine the rainfall erosivity based on the index of the product of the maximum rain intensity during a 30 min period and the kinetic energy of the rain (EI30), and the equations were adjusted to estimate the EI30 value from the rainfall coefficient. Erosive rainfalls were classified, according to the pattern of temporal distribution, as Advanced, Intermediate, and Late rainfall pattern. The erosive rainfalls represent, on average, 83?88% of the annual precipitation, and the value of EI30 varies from 6,072 to 10,478 MJmmha−1 h−1 year−1. The adjusted equations can be used to estimate the rainfall erosivity in places with only pluviometric data. Erosive rainfalls presented an average distribution of 51, 31, and 18%, respectively, of the Advanced, Intermediate, and Late patterns. The maximum rainfall intensity of 30 min with 20% of frequency ranged from 21.8 to 33.6 mmh−1. For larger frequency, no significant variation was observed between the time distribution patterns.
653 $aEI30 index
653 $aerosivity
653 $asoil conservation
700 1 $aALBERTON, J. V.
700 1 $aPOLETO, C.
773 $tJournal of Environmental Engineering, Reston, Virginia, EUA$gv. 144, n. 7, p. 1-12, 2018.
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