Spatial variability of the rainfall erosive potential in the State of Mato Grosso do Sul, Brazil

Oliveira, Paulo Tarso Sanches de; Rodrigues, Dulce Buchala Bicca; Sobrinho, Teodorico Alves; Carvalho, Daniel Fonseca de; Panachuki, Elói

doi:10.1590/s0100-69162012000100008

Cited by 46 publications

(42 citation statements)

References 25 publications

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“…However, average rainfall erosivity in the months of July and August did not reflect such trend, most possibly due to the occurrence of lower intensity rainfall events. Studies conducted by Mello et al (2007) and Oliveira et al (2012) demonstrate that high levels of annual rainfall do not necessarily translate to high erosivity. Greater erosivity values are influenced by intensive rainfall that occurs at certain periods of the year (Oliveira;Wendland;Nearing, 2013).…”

Section: Resultsmentioning

confidence: 96%

Soil and water losses in eucalyptus plantation and natural forest and determination of the USLE factors at a pilot sub-basin in Rio Grande do Sul, Brazil

Silva

Batista

et al. 2016

Ciênc. agrotec.

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Monitoring water erosion and the factors that control soil and water loss are essential for soil conservation planning. The objective of this study was to evaluate soil and water losses by water erosion under natural rainfall in eucalyptus plantations established in 2001 (EF2), and 2004 (EF1), native forest (NF) and bare soil (BS), during the period of 2007 to 2012; and to determine the USLE factors: rain erosivity (R), erodibility (K) of a Red Argisol and the cover-management factor (C) for EF1, EF2 and NF at a pilot sub-basin, in Eldorado do Sul, RS, Brazil. The R factor was estimated by the EI 30 index, using rainfall data from a gauging station located at the sub-basin. The soil and water losses were monitored in erosion plots, providing consistent data for the estimation of the K and C factors. Index terms: Water erosion; soil erodibility; rainfall erosivity; cover-management factor. RESUMOO monitoramento da erosão hídrica e o conhecimento dos fatores que causam perdas de solo e água são essenciais para o planejamento conservacionista do solo. Objetivou-se com esse trabalho avaliar as perdas de solo e água por erosão hídrica, sob chuva natural, em plantios de eucalipto estabelecidos em 2001 (FE2) e 2004 (FE1), floresta nativa (FN) e solo descoberto (SD), no período de 2007 a 2012; e determinar os fatores da USLE: erosividade da chuva (R), erodibilidade (K) de um Argissolo Vermelho e o fator cobertura vegetal (C) para FE1, FE2 e FN, em sub-bacia hidrográfica piloto, em Eldorado do Sul, RS. O fator R foi estimado pelo índice EI 30 , a partir de dados pluviométricos obtidos em estação climatológica instalada na sub-bacia. As perdas de solo e água foram monitoradas em parcelas experimentais, fornecendo dados consistentes para a estimativa dos fatores K e C. A sub-bacia apresentou uma erosividade média de 4. Termos para indexação: Erosão hídrica; erodibilidade do solo; erosividade da chuva; fator cobertura e manejo.

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Section: Resultsmentioning

confidence: 96%

Soil and water losses in eucalyptus plantation and natural forest and determination of the USLE factors at a pilot sub-basin in Rio Grande do Sul, Brazil

Silva

Batista

et al. 2016

Ciênc. agrotec.

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“…Contudo, nas condições brasileiras, essas informações nem sempre são encontradas, ou, quando disponíveis, há falhas ao longo do período de observação ou são insuficientes para mapeamento (Aquino et al, 2012). Desse modo, o índice de erosividade da chuva (EI 30 ), que consiste no produto da energia cinética total da chuva pela sua intensidade máxima em 30 min consecutivos, tem sido frequentemente determinado por correlações com os registros pluviométricos mensais e anuais por meio do coeficiente de chuva de Fournier (Mello et al, 2007;Oliveira et al, 2012a).…”

Section: Introductionunclassified

“…Nesse sentido, diversos pesquisadores têm realizado estudos da distribuição espacial da erosividade mensal e anual para identificar o período e as regiões de maior risco à erosão, com destaque para os trabalhos de Silva (2004), Oliveira et al (2012b) e Mello et al (2013), em todo território nacional; Mello et al (2007) e Aquino et al (2012), em algumas regiões de Minas Gerais; Oliveira et al (2012a), no Estado do Mato Grosso do Sul; Silva et al (2010) Diodato et al (2013) estimaram a erosividade para o continente Africano; Khorsandi et al (2012), para a região norte do Irã; e Petan et al (2010), para a parte mediterrânea da Eslovênia. Nesses estudos, a geoestatística tem sido amplamente empregada, pois permite a análise da distribuição espacial entre as observações, o que determina, por meio de semivariograma, a distância na qual existe a dependência espacial (Silva et al, 2010).…”

Section: Introductionunclassified

Distribuição e potencial erosivo das chuvas no Estado do Tocantins

Viola

Avanzi

Mello

et al. 2014

Pesq. agropec. bras.

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Distribution and erosive potential of rainfall in the state of Tocantins, BrazilAbstract -The objective of this work was to determine rainfall erosivity values and to generate its spatial-temporal distribution maps in the state of Tocantins, Brazil. Pluviometric historical series from 97 rain gauges were analyzed, covering the period from 1985 to 2009. Erosivity was estimated by equations in which the independent variable was the average monthly rainfall or the Fournier rainfall index (Rc). Geostatistics was applied for mapping erosivity both monthly and annually. Annual erosivity values varied between 6,599 and 14,000 MJ mm ha -1 h -1 , with peak in December when it reached values up to 2,800 MJ mm ha -1 h -1 per month. From May to September, erosivity values had lower than the critical one, considered 500 MJ mm ha -1 h -1 per month. Three priority regions were identified for soil and water conservation planning activities: mid-west region of the state, in the neighborhood of Cantão State Park, with greatest erosivity; northern region of the state, especially during the first quarter of the year; and southern region of the state, in the fourth quarter.

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“…This estimator is based on the regional variable sample data and the structural features of the semivariogram obtained through these data (ISSAKS;SRIVASTAVA, 1989). Using geostatistics and the kriging method it is possible to map the EI30 for several regions, such as Montebeller et al (2007) for Rio de Janeiro state, Oliveira et al (2012) for Mato Grosso do Sul state, Mello et al (2007) for Minas Gerais state, and Silva et al (2010) for the Central-east region of Minas Gerais state.…”

Section: Introductionmentioning

confidence: 99%

Spatial variability of the rainfall erosivity in southern region of Minas Gerais state, Brazil

et al. 2012

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Rainfall erosivity and its spatial variability were studied for 54 pluviometric stations in Southern Minas Gerais State (48º00' -44º00'W; 23º50' -20º00'S), aiming to plan the land-use strategies. Therefore, erosivity factor was determined for the pluviometric stations, using long-term rainfall data sets obtained along with the Brazilian National Water Agency-ANA, which varied from 15 to 40 years. The monthly and annual erosivity indexes were generated using Fournier equation for Lavras, MG and the spatial distribution of rainfall erosivity was studied on the basis of geostatistical approaches considering only the distance which separates them, developing the isotropic experimental semivariogram. The semivariogram adjustment was done based on the Weighted Least Squares method and the spatial dependence degree. Once the structure and the semivariogram adjustment were defined, the ordinary kriging maps were created, providing erosivity spatial behavior in Southern Minas Gerais. It was observed that the Southern Minas Gerais presents high erosivity patterns, ranging from 5,145 to 7,776 MJ mm ha -1 h -1 year -1, in Ijaci (north of region) and Itajubá (southern region), respectively. Besides, it was verified that the erosivity indexes are intensely influenced by the topography, associated with climatic conditions. Higher erosivity is connected to areas with a higher altitude, such as along the Mantiqueira Range Mountain, and on high plateaus and mountain ranges in the North-Central part of the region. The geostatistical approach using longterm rainfall data in Southern region of Minas Gerais state, which is a relatively heterogeneous region in terms of altitude, soil depth and slope, showed to be adequate to the proposal of this study.

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Spatial variability of the rainfall erosive potential in the State of Mato Grosso do Sul, Brazil

Cited by 46 publications

References 25 publications

Soil and water losses in eucalyptus plantation and natural forest and determination of the USLE factors at a pilot sub-basin in Rio Grande do Sul, Brazil

Soil and water losses in eucalyptus plantation and natural forest and determination of the USLE factors at a pilot sub-basin in Rio Grande do Sul, Brazil

Distribuição e potencial erosivo das chuvas no Estado do Tocantins

Spatial variability of the rainfall erosivity in southern region of Minas Gerais state, Brazil

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