Avaliação e espacialização da erosividade da chuva no Vale do Rio Doce, região centro-leste do Estado de Minas Gerais

Silva, Mayesse Aparecida da; Silva, Marx Leandro Naves; Curi, Nilton; Santos, Gérson Rodrigues dos; Marques, João José; Menezes, Michele Duarte de; Leite, Fernando Palha

doi:10.1590/s0100-06832010000400003

Cited by 35 publications

(32 citation statements)

References 15 publications

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“…Existem outros parâmetros, mas no Brasil o EI 30 é o que apresenta melhor correlação com perda de solo (Lombardi Neto, 1977;Morais et al, 1988;Carvalho et al, 1989;Silva et al, 2010;Eltz et al, 2011 Wilkinson (1975), que considera a precipitação total e I 30 da chuva. A determinação da equação geral de Castro Filho et al (1982) foi com base em dados pluviais obtidos em cinco locais (Londrina, Ponta Grossa, Paranavaí, Umuarama e Bela Vista do Paraíso), em séries históricas de três a cinco anos, entre 1975 e 1980.…”

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Estimativa Da Erosividade De Chuvas No Estado Do Paraná Pelo Método Da Pluviometria: Atualização Com Dados De 1986 a 2008

Waltrick

Machado

Dieckow

et al. 2015

Rev. Bras. Ciênc. Solo

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Section: Palavrasunclassified

Estimativa Da Erosividade De Chuvas No Estado Do Paraná Pelo Método Da Pluviometria: Atualização Com Dados De 1986 a 2008

Waltrick

Machado

Dieckow

et al. 2015

Rev. Bras. Ciênc. Solo

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“…Silva et al (2009) found high correlations (94 and 98 %, respectively) between rainfall erosivity (EI 30 ) and soil loss from a typic Cambisol and a typic Latosol under natural rainfall, in five years of evaluation. In the East Central region of Minas Gerais, Silva et al (2010) studied the spatialization of rainfall erosivity and found a correlation of 86 % between EI 30 rainfall erosivity and the monthly average precipitation, at nine locations.…”

Section: Introductionmentioning

confidence: 99%

Soil losses from typic cambisols and red latosol as related to three erosive rainfall patterns

Aquino

Silva

Freitas

et al. 2013

Rev. Bras. Ciênc. Solo

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SUMMARYRainfall erosivity is one of the main factors related to water erosion in the tropics. This work focused on relating soil loss from a typic dystrophic Tb Haplic Cambisol (CXbd) and a typic dystrophic Red Latosol (LVdf) to different patterns of natural erosive rainfall. The experimental plots of approximately 26 m 2 (3 x 8.67 m) consisted of a CXbd area with a 0.15 m m -1 slope and a LVdf area with 0.12 m m -1 slope, both delimited by galvanized plates. Drainpipes were installed at the lower part of these plots to collect runoff, interconnected with a Geib or multislot divisor. To calculate erosivity (EI 30 ), rainfall data, recorded continuously at a weather station in Lavras, were used. The data of erosive rainfall events were measured (10 mm precipitation intervals, accuracy 0.2 mm, 24 h period, 20 min intervals), characterized as rainfall events with more than 10 mm precipitation, maximum intensity > 24 mm h -1 within 15 min, or kinetic energy > 3.6 MJ, which were used in this study to calculate the rainfall erosivity parameter, were classified according to the moment of peak precipitation intensity in advanced, intermediate and delayed patterns. Among the 139 erosive rainfall events with CXbd soil loss, 60 % were attributed to the advanced pattern, with a loss of 415.9 Mg ha -1 , and total losses of 776.0 Mg ha -1 . As for the LVdf, of the 93 erosive rainfall events with soil loss, 58 % were listed in the advanced pattern, with 37.8 Mg ha -1 soil loss and 50.9 Mg ha -1 of total soil loss. The greatest soil losses were observed in the advanced rain pattern, especially for the CXbd. From the Cambisol, the soil loss per rainfall event was greatest for the advanced pattern, being influenced by the low soil permeability.Index terms: rainfall erosivity, water erosion, kinetic energy, soil erodibility.( RESUMO: PERDAS DE SOLO EM CAMBISSOLO E LATOSSOLO VERMELHO, EM RELAÇÃO A TRÊS PADRÕES DE CHUVAS EROSIVAS

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“…The characterization of rainfall in a certain region is an important tool for soil management and conservation (Silva et al, 2010). This is because, in the erosive process, the factor erosivity reflects the capacity of rainfall to erode the soil in an area with no cover, which is directly related to the duration, intensity, and frequency of precipitation events (Montebeller et al, 2007;Peñalva Bazzano et al, 2010;Mello et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Modelling the spatial dependence of the rainfall erosivity index in the Brazilian semiarid region

Almeida

Souza

Loureiro

et al. 2017

Pesq. agropec. bras.

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-The objective of this work was to model the spatial dependence and to map the rainfall erosivity index (EI 30 ) 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 EI 30 , 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 EI 30 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 EI 30 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 EI 30 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 EI 30 for the semiarid region of Brazil.

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Avaliação e espacialização da erosividade da chuva no Vale do Rio Doce, região centro-leste do Estado de Minas Gerais

Cited by 35 publications

References 15 publications

Estimativa Da Erosividade De Chuvas No Estado Do Paraná Pelo Método Da Pluviometria: Atualização Com Dados De 1986 a 2008

Estimativa Da Erosividade De Chuvas No Estado Do Paraná Pelo Método Da Pluviometria: Atualização Com Dados De 1986 a 2008

Soil losses from typic cambisols and red latosol as related to three erosive rainfall patterns

Modelling the spatial dependence of the rainfall erosivity index in the Brazilian semiarid region

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