Erosividade das chuvas associada a períodos de retorno e probabilidade de ocorrência no estado do Rio de Janeiro

Machado, Roriz Luciano; Carvalho, Daniel Fonseca de; Rouws, Janaína Ribeiro Costa; Gomes, Daniela Pinto; Eduardo, Eliete Nazaré

doi:10.1590/s0100-06832013000200024

Cited by 10 publications

(10 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the tropics, precipitation is the most influential climatic factor for soil erosion due to the volume and time and space distribution (Machado et al, 2013). Martins et al (2010a), in a study in Aracruz, state of Espírito Santo (a region close to the present study area), observed a variation between years from 4,536 to 17,056 MJ mm ha -1 h -1 year -1 , reinforcing the knowledge of the great variability of the precipitation behavior in the region.…”

Section: Resultssupporting

confidence: 73%

Modeling of Soil Losses on a Yellow Argisol Under Planted Forest

et al. 2018

View full text Add to dashboard Cite

Erosion prediction models are a useful tool for soil use planning and soil conservation. This study aimed to apply the Universal Soil Loss Equation (USLE) in an experimental sub-basin located in the municipality of Teixeira de Freitas, in the southern end of the state of Bahia, Brazil. The following variables were calculated: rainfall erosivity factor, using the precipitation data; soil erodibility factor, by the correlation between erosivity and soil losses obtained from a standard plot installed in the field; topographic factor; vegetation cover and management factor; and conservation practices factor. The product of these factors corresponded to the soil losses in the sub-basin. Data from erosion plots were used to validate the model. The USLE predicted higher soil losses than that observed in the plots, and the eucalyptus proved to be efficient at reducing soil losses by erosion.

show abstract

Section: Resultssupporting

confidence: 73%

Modeling of Soil Losses on a Yellow Argisol Under Planted Forest

et al. 2018

View full text Add to dashboard Cite

show abstract

“…According to Machado et al (2013), the mean annual erosivity in the region of Seropédica-RJ is 5,960.4 MJ mm ha -1 h -1 , with maximum of 9,792.9 MJ mm ha -1 h -1 .…”

Section: Resultsmentioning

confidence: 99%

Water erosion and soil water infiltration in different stages of corn development and tillage systems

Carvalho

Eduardo

Almeida

et al. 2015

Rev. bras. eng. agríc. ambient.

View full text Add to dashboard Cite

A B S T R A C TThis study evaluated soil and water losses, soil water infiltration and infiltration rate models in soil tillage systems and corn (Zea mays, L.) development stages under simulated rainfall. The treatments were: cultivation along contour lines, cultivation down the slope and exposed soil. Soil losses and infiltration in each treatment were quantified for rains applied using a portable simulator, at 0, 30, 60 and 75 days after planting. Infiltration rates were estimated using the models of Kostiakov-Lewis, Horton and Philip. Based on the obtained results, the combination of effects between soil tillage system and corn development stages reduces soil and water losses. The contour tillage system promoted improvements in soil physical properties, favoring the reduction of erosion in 59.7% (water loss) and 86.6% (soil loss) at 75 days after planting, and the increase in the stable infiltration rate in 223.3%, compared with the exposed soil. Associated to soil cover, contour cultivation reduces soil and water losses, and the former is more influenced by management. Horton model is the most adequate to represent soil water infiltration rate under the evaluated conditions.Erosão hídrica e infiltração de água no solo sob diferentes sistemas de cultivo do milho R E S U M O Neste estudo foram avaliados, sob chuva simulada, perdas de solo e de água, infiltração de água no solo e modelos para a estimativa da taxa de infiltração em sistemas de preparo de solo e fases da cultura do milho (Zea mays, L.). Os tratamentos foram: cultivo em nível, cultivo morro abaixo e solo exposto. A perda de solo e a infiltração em cada tratamento foram quantificadas para chuvas aplicadas por um simulador portátil, aos 0, 30, 60 e 75 dias após o plantio do milho. Na estimativa da taxa de infiltração foram empregados os modelos de Kostiakov-Lewis, Horton e Philip. Com base nos resultados obtidos verifica-se que a combinação de efeitos entre sistema de manejo do solo e fase da cultura do milho reduz as perdas de solo e de água. O sistema de preparo do solo em nível promoveu melhorias nas propriedades físicas do solo favorecendo, aos 75 DAP, redução do processo erosivo em 59,7% (perda de água) e 86,6% (perda de solo) e aumento da taxa de infiltração estável de água no solo em 223,3%, em relação ao tratamento solo exposto. Associado à cobertura do solo, o cultivo em nível reduz as perdas de solo e de água, sendo a primeira mais influenciada pelo manejo. O modelo de Horton é o mais adequado para representar a taxa de infiltração de água no solo nas condições avaliadas.

show abstract

“…In addition, higher erosive potential is expected in this group because of the rainfall events with physical characteristics of high rainfall depth, high I 30 , and long duration, because the standardized canonical coefficient (SCC) and the correlation coefficient (r) of these characteristics were positive. Except for the Campos station, the highest scores in the delayed pattern were obtained for stations located in the regions South Fluminense, Central Fluminense, and Metropolitan, which had the highest monthly and annual mean values of rainfall (André et al, 2008;Brito et al, 2016) and the highest values of rainfall erosivity in the state (Montebeller et al, 2007;Machado et al, 2013). These results are highly influenced by the topography and higher air humidity coming from the ocean in the southeast direction (André et al, 2008).…”

Section: Resultsmentioning

confidence: 95%

Multivariate Analysis of Erosivity Indices and Rainfall Physical Characteristics Associated with Rainfall Patterns in Rio de Janeiro

Machado

Carvalho

Rouws

et al. 2017

Rev. Bras. Ciênc. Solo

Self Cite

View full text Add to dashboard Cite

The identification of areas with greater erosive potential is important for planning soil and water conservation. The objective of this study was to evaluate the physical characteristics of rainfall events in the state of Rio de Janeiro, Brazil, and their interactions with rainfall patterns through multivariate statistical analysis. Rainfall depth, kinetic energy, 30-min intensity (I 30), duration of rainfall events, and the erosivity indices KE >10, KE >25, and EI 30 in 36 locations (stations) were subjected to principal component analysis (PCA) and canonical discriminant analysis (CDA). Based on evaluation of the respective historical series of hyetographs, it was found that the advanced pattern occurs with highest frequency (51.8 %), followed by the delayed pattern (26.1 %), and by the intermediate pattern (22.1 %). All the evaluated rainfall characteristics have high response capacity in describing localities and rainfall patterns through PCA and CDA. In CDA, the Tukey test (p<0.05) applied to the scores of the first canonical discriminant function (CDF 1) allowed differentiation of the stations with respect to the rainfall and erosivity characteristics for the advanced and delayed patterns. In the delayed pattern, the localities of Angra dos Reis,

show abstract

Erosividade das chuvas associada a períodos de retorno e probabilidade de ocorrência no estado do Rio de Janeiro

Cited by 10 publications

References 25 publications

Modeling of Soil Losses on a Yellow Argisol Under Planted Forest

Modeling of Soil Losses on a Yellow Argisol Under Planted Forest

Water erosion and soil water infiltration in different stages of corn development and tillage systems

Multivariate Analysis of Erosivity Indices and Rainfall Physical Characteristics Associated with Rainfall Patterns in Rio de Janeiro

Contact Info

Product

Resources

About