Modelos para estimativa do subfator cobertura-manejo (CiII) relativo à erosão entressulcos

Filho, Marcílio Vieira Martins; Engler, Marcela P. C.; Izidorio, Ricardo; Cotrin, Flávio B.; Serra, Eugênia A.; Amaral, Nailton S.; Souza, Zigomar Menezes de

doi:10.1590/s0100-69162004000300012

Cited by 6 publications

(7 citation statements)

References 10 publications

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“…Utilizou-se, para realizar as referidas precipitações, de simulador de chuva de hastes rotativas do tipo Swanson, com bicos veejet 80-100, previamente calibrado e nivelado no terreno, como descrito por MARTINS FILHO et al (2004).…”

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“…Amostragens para medidas de vazões dos escoamentos superficiais e das concentrações de sedimentos foram realizadas no quinto minuto após o início da enxurrada e, a partir daí, a cada cinco minutos, como o realizado por MARTINS FILHO et al (2004). Amostras foram coletadas em recipientes de vidro com capacidade de 1 L, cronometrando-se o tempo de coleta.…”

Section: Methodsunclassified

“…Após secagem, as amostras foram pesadas, determinando-se o peso de sedimento de cada uma. A concentração de sedimentos foi obtida considerando-se o volume da solução, a densidade da água e do sedimento na solução (MARTINS FILHO et al, 2004). Desse modo, determinaram-se para cada parcela e tratamento as perdas totais por erosão hídrica (A) durante cada uma das chuvas simuladas.…”

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Perdas de solo e nutrientes por erosão num Argissolo com resíduos vegetais de cana-de-açúcar

Filho

Liccioti²,

Pereira

et al. 2009

Eng. Agríc.

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RESUMO:O presente trabalho teve como objetivo determinar as perdas de solo, matéria orgânica (MO) e nutrientes (P, K, Ca e Mg) por erosão, em área cultivada com cana-de-açúcar, cuja palhada é mantida sobre a superfície do solo, localizada em Catanduva -SP, sob um Argissolo Vermelho--Amarelo. Em parcelas experimentais, com 0 (CS 0 ), 50 (CS 50 ) e 100% (CS 100 ) de cobertura sobre a superfície do solo, aplicou-se chuva simulada com intensidade de 60 mm h -1 , durante 65 minutos. Análises do sedimento erodido indicaram taxas de enriquecimento da seguinte ordem: 2,7 a 1,9 (MO), 3,8 a 2,7 (P), 1,3 a 1,7 (K), 3,9 a 3,6 (Ca) e 2,9 a 2,6 (Mg) vezes em relação ao solo original para CS 0 e CS 50 , respectivamente. A CS 50 propiciou controle significativo da erosão de 69%, mas não reduziu a concentração de MO e nutrientes no sedimento erodido. A CS 100 foi significativamente eficiente no controle da erosão (89%) e na redução das concentrações de MO (69%), P (88%), K (23%), Ca (74%) e Mg (75%) no sedimento. PALAVRAS-CHAVE:processo erosivo, simulação de chuva, cobertura do solo. SOIL AND NUTRIENTS LOSSES OF AN ALFISOL WITH SUGARCANE CROP RESIDUE ABSTRACT:The objective of this study was to determine the losses of soil, organic matter (OM) and nutrients (P, K, Ca, and Mg) caused by erosion in an area cultivated with sugarcane containing controlled amount of crop residues in soil surface, in Catanduva city, São Paulo State, Brazil. The soil at the experimental site is an Alfisol. Test plots were 0 (CS 0 ), 50 (CS 50 ) and 100% (CS 100 ) of crop residues cover, submitted to simulated rainfall simulated of 60 mm h -1 , during 65 minutes. Analyses of the eroded sediment indicate an enrichment ratio of 2.7 -1.9 (OM), 3.8 -2.7 (P), 1.3 -1.7 (K), 3.9 -3.6 (Ca), and 2.9 -2.6 (Mg) times in relation to the CS 0 and CS 50 , respectively. The CS 50 was more efficient for controlling the erosion processes in 69%, but not for the reduction of the OM and nutrients losses in the eroded sediment. On the other hand, CS 100 was efficient for erosion control of 89% and in the reduction of OM (69%), P (88%), K (23%), Ca (74%) and Mg (75%) in the eroded sediment.

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Perdas de solo e nutrientes por erosão num Argissolo com resíduos vegetais de cana-de-açúcar

Filho

Liccioti²,

Pereira

et al. 2009

Eng. Agríc.

Self Cite

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“…Modeling is an important tool in the development of evaluations and planning of measures of control of a certain phenomenon (Martins Filho et al, 2004). The water infiltration in to the soil can be measured at the field or estimated by mathematical models, which can be empirical or theoretical physically based.…”

Section: Introductionmentioning

confidence: 99%

Modeling of soil water infiltration with rainfall simulator in different agricultural systems

Santos

Souza

Montenegro

2016

Rev. bras. eng. agríc. ambient.

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A B S T R A C TThis study aimed to compare models for predicting soil water infiltration rate and erosive rates using a rainfall simulator in different systems of common bean (Phaseolus vulgaris L.) cultivation. The evaluated mathematical models were: Kostiakov, Kostiakov-Lewis, Green-Ampt and Horton. Infiltration tests were carried out considering six treatments: bean cultivated on contour with rock barriers spaced at 0.5 m between crop rows (BC1); bean cultivated on contour with rock barriers spaced at 1.0 m between crop rows (BC2); bean cultivated downslope (BDS); bean cultivated on contour with mulch (BCM); bare soil (BS) and soil under natural cover (NC). Four replicates were considered, totaling 24 field tests. Kostiakov-Lewis's equation showed the lowest values of standard error. Soil water infiltration rate was equal to 53.3 mm h -1 in the natural vegetation treatment and to 9.49 mm h -1 in the downslope treatment. Surface roughness and the time of beginning of surface runoff were significantly higher for the conditions with mulch cover. Modelagem da infiltração de água no solo com simulador de chuvas em diferentes sistemas agrícolas R E S U M OObjetivou-se, com o presente trabalho, comparar modelos de previsão da velocidade de infiltração de água no solo e taxas erosivas em condição de campo utilizando simulador de chuvas, em diferentes sistemas de cultivo do feijão (Phaseolus vulgaris L.). Os modelos matemáticos avaliados foram Kostiakov, Kostiakov-Lewis, Green-Ampt e Horton. Os testes de infiltração foram realizados em seis tratamentos: feijão cultivado segundo curvas de nível (FN1) associado a fileiras de pedra, espaçadas 0,50 cm; feijão cultivado segundo curvas de nível (FN2) associado a fileiras de pedra, espaçadas 1,0 m; feijão cultivado morro abaixo (FMA); feijão cultivado em nível, com cobertura morta (CM); solo descoberto (SD) e solo com cobertura vegetal nativa (CN) em quatro repetições totalizando 24 testes de campo. A equação que apresentou menores valores de erro padrão foi a de KostiakovLewis. A taxa de infiltração básica de água no solo foi de 53,3 mm h -1

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“…In another study in Mato Grosso State, Favis-Morlock and Guerra (2000) found that WEPP-CO 2 underestimated current-climate mean annual sediment yield. The model D i = R I K i S fa predicts erosion well on the studied Oxisols where D i is the inter-rill soil loss (kg m −2 s −1 ), R is the rate of runoff (m s −1 ), I is the rainfall intensity (m s −1 ), K i is the inter-rill soil erodibility (kg s m −4 ) and S fa is the modified slope factor.Martins Filho et al (2004) studied the covermanagement subfactor (C iII ) and concluded that the equations C iII = e −2.50 CS/100 and C iII = e −2.238 CS/100 allow good estimates for the cover-management subfactor, for slopes between 5.3% and 15.3%, where CS is the percentage ground cover on the soil surface. The initial proposed model for the dimensionless slope factor (S f ) did not provide a good relationship between the actual and predicted soil loss.…”

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Predicting Soil Loss and Runoff from Forest Roads and Seasonal Cropping Systems in Brazil Using WEPP

Guerra

Silva

2010

Handbook of Erosion Modelling

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used WEPP in Mato Grosso State and noted that simulated average annual sediment yield increased in one of the scenarios tested and decreased in the other two, reflecting the range of uncertainty in predictions of future rainfall. In another study in Mato Grosso State, Favis-Morlock and Guerra (2000) found that WEPP-CO 2 underestimated current-climate mean annual sediment yield. The model calculated a value of 6.86 t ha −1 y −1 , while the value measured during four years of monitoring was 12 t ha −1 y −1 .Martins Filho et al. (2003) validated the model to predict inter-rill erosion for three Oxisols. The initial proposed model for the dimensionless slope factor (S f ) did not provide a good relationship between the actual and predicted soil loss. The slope factor was better expressed using the equation S fa = 1.061 − 1.037 e −4 sinq , than by the equation S f = 1.050 − 0.850 e −4 sinq where q is the slope angle (degrees). The model D i = R I K i S fa predicts erosion well on the studied Oxisols where D i is the inter-rill soil loss (kg m −2 s −1 ), R is the rate of runoff (m s −1 ), I is the rainfall intensity (m s −1 ), K i is the inter-rill soil erodibility (kg s m −4 ) and S fa is the modified slope factor.Martins Filho et al. (2004) studied the covermanagement subfactor (C iII ) and concluded that the equations C iII = e −2.50 CS/100 and C iII = e −2.238 CS/100 allow good estimates for the cover-management subfactor, for slopes between 5.3% and 15.3%, where CS is the percentage ground cover on the soil surface. For slopes ∼36.3% the equation C iII = e −0.795 CS/100 is recommended. Nevertheless, the authors suggested that more research is needed to improve the calibration for steep slopes.Many of the dissertations and theses in Brazil using WEPP have been completed in Agricultural Engineering departments, reflecting the considerable concern over soil loss due to agricultural activities in Brazil. We have selected examples from two PhD theses (Garcia, 2001;Gonçalves, 2007) where the authors have applied WEPP in real situations and considered the associated limitations and potential. We describe in detail how the model was established and run, and the necessary data obtained for each application. Through their methodology and results, it is expected that WEPP users, in different parts of the world, will be able to use these two case studies as examples for subsequent model use, development and Handbook of Erosion ModellingEdited by R.P.C. Morgan and M.A. Nearing

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Modelos para estimativa do subfator cobertura-manejo (CiII) relativo à erosão entressulcos

Cited by 6 publications

References 10 publications

Perdas de solo e nutrientes por erosão num Argissolo com resíduos vegetais de cana-de-açúcar

Perdas de solo e nutrientes por erosão num Argissolo com resíduos vegetais de cana-de-açúcar

Modeling of soil water infiltration with rainfall simulator in different agricultural systems

Predicting Soil Loss and Runoff from Forest Roads and Seasonal Cropping Systems in Brazil Using WEPP

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