Infiltração de água no solo sob diferentes perfis de precipitação

Detalhes bibliográficos
Autor(a) principal: Zonta, João Henrique
Data de Publicação: 2011
Tipo de documento: Tese
Idioma: por
Título da fonte: LOCUS Repositório Institucional da UFV
Texto Completo: http://locus.ufv.br/handle/123456789/691
Resumo: The soil water infiltration is an important component of the hydrological cycle and is influenced by several factors related to soil and rainfall. The objectives of this work were to evaluate the influence of the successive application of different precipitation patterns in bare and covered soil, in order to quantify its effect on the formation of soil crusting, and consequently in the soil water infiltration rate; and evaluate the performance of the of Green-Ampt-Mein-Larson (GAML) and GAML modified by Moore (1981) models, in the simulation of infiltration process in soils with soil crusting. For each rainfall pattern (constant, exponential decreasing, double exponential early and late) we applied three successive precipitations in 24 h intervals, with an average depth of 55 mm. In the simulation of the infiltration process, was proposed to include the superficial layer of soil crusting on the input parameters of the model. For this, in the GAML model the value of hydraulic conductivity in the transmission zone (Kt) was considered equal to the stable infiltration rate (Tie) obtained in bare soil, and equal to Kt*, which equals Tie (coverage soil) multiplied by the factor f, which expresses the decay of the Tie as a function of cumulative rainfall kinetic energy (Ec), ie, the value of Kt varying over time. For the model of GAML modified by Moore (1981), it was proposed that the surface layer (crust) had a thickness of 5 mm and saturated crust hydraulic conductivity (Kc) determined from experimental data, and also equal to 10 and 25% of saturated hydraulic conductivity (K0). The influence of rainfall patterns and successive rainfall in infiltration rate was evaluated by graphs, variance analysis and mean test. The determination of the best combinations of input parameters of the GAML and GAML modified by Moore (1981) models were evaluated using the concordance index (c). It was found that the different rainfall patterns did not affect the soil water infiltration rate, both for the bare and coverage soil, which is influenced only by successive applications, with lower values of infiltration rates obtained in the 2nd and 3rd applications. This behavior can be explained because the rainfall cumulative kinetic energy has the same magnitude for both rainfall patterns. The decrease in infiltration rate in bare soil was due to formation of a superficial soil crust, formed as early as the 1st application. A Tie in bare soil declined by 75% if compared to Tie in covered soil. The f factor was described by an exponential equation. In the ix simulation of infiltration process for the 1st application of simulated rainfall in dry soil and with high soil water infiltration capacity, the model GAML with the value of Kt = Tie, determined in soil coverage, obtained good results, with performance better than good in 87.5% of cases, considering the four precipitation patterns used. For the 2nd and 3rd applications of simulated rainfall, in moist soil and soil crusting, the combinations that have not considered the soil crusting did not showed good results, overestimated Ti and I over time, regardless of precipitation patterns used. The best results were obtained using Kt equal to Tie determined in bare soil and equal to Kt = Kt*, while in Model GAML modified by Moore (1981), the best results were obtained with the Kt value of the crust equal to 10 and 25% K0, with performance by the c index better than good in 100% of the cases for both combinations. The GAML model with modifications in yours input parameters was suitable for the simulation of the water infiltration process for all precipitation patterns applied. For soils with soil crusting, the effect of this layer should be added in the input parameters of the model to obtain good results.
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spelling Zonta, João Henriquehttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4734029A9Pruski, Fernando Falcohttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4727304E8Silva, Demetrius David dahttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4786123E5Martinez, Mauro Aparecidohttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4781072U1Ramos, Márcio Motahttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4783666U8Cecílio, Roberto Avelinohttp://lattes.cnpq.br/5497084995510727Silva, José Márcio Alves dahttp://lattes.cnpq.br/88659866850418192015-03-26T12:31:15Z2011-11-032015-03-26T12:31:15Z2011-02-11ZONTA, João Henrique. Soil water infiltration under different rainfall patterns. 2011. 126 f. Tese (Doutorado em Construções rurais e ambiência; Energia na agricultura; Mecanização agrícola; Processamento de produ) - Universidade Federal de Viçosa, Viçosa, 2011.http://locus.ufv.br/handle/123456789/691The soil water infiltration is an important component of the hydrological cycle and is influenced by several factors related to soil and rainfall. The objectives of this work were to evaluate the influence of the successive application of different precipitation patterns in bare and covered soil, in order to quantify its effect on the formation of soil crusting, and consequently in the soil water infiltration rate; and evaluate the performance of the of Green-Ampt-Mein-Larson (GAML) and GAML modified by Moore (1981) models, in the simulation of infiltration process in soils with soil crusting. For each rainfall pattern (constant, exponential decreasing, double exponential early and late) we applied three successive precipitations in 24 h intervals, with an average depth of 55 mm. In the simulation of the infiltration process, was proposed to include the superficial layer of soil crusting on the input parameters of the model. For this, in the GAML model the value of hydraulic conductivity in the transmission zone (Kt) was considered equal to the stable infiltration rate (Tie) obtained in bare soil, and equal to Kt*, which equals Tie (coverage soil) multiplied by the factor f, which expresses the decay of the Tie as a function of cumulative rainfall kinetic energy (Ec), ie, the value of Kt varying over time. For the model of GAML modified by Moore (1981), it was proposed that the surface layer (crust) had a thickness of 5 mm and saturated crust hydraulic conductivity (Kc) determined from experimental data, and also equal to 10 and 25% of saturated hydraulic conductivity (K0). The influence of rainfall patterns and successive rainfall in infiltration rate was evaluated by graphs, variance analysis and mean test. The determination of the best combinations of input parameters of the GAML and GAML modified by Moore (1981) models were evaluated using the concordance index (c). It was found that the different rainfall patterns did not affect the soil water infiltration rate, both for the bare and coverage soil, which is influenced only by successive applications, with lower values of infiltration rates obtained in the 2nd and 3rd applications. This behavior can be explained because the rainfall cumulative kinetic energy has the same magnitude for both rainfall patterns. The decrease in infiltration rate in bare soil was due to formation of a superficial soil crust, formed as early as the 1st application. A Tie in bare soil declined by 75% if compared to Tie in covered soil. The f factor was described by an exponential equation. In the ix simulation of infiltration process for the 1st application of simulated rainfall in dry soil and with high soil water infiltration capacity, the model GAML with the value of Kt = Tie, determined in soil coverage, obtained good results, with performance better than good in 87.5% of cases, considering the four precipitation patterns used. For the 2nd and 3rd applications of simulated rainfall, in moist soil and soil crusting, the combinations that have not considered the soil crusting did not showed good results, overestimated Ti and I over time, regardless of precipitation patterns used. The best results were obtained using Kt equal to Tie determined in bare soil and equal to Kt = Kt*, while in Model GAML modified by Moore (1981), the best results were obtained with the Kt value of the crust equal to 10 and 25% K0, with performance by the c index better than good in 100% of the cases for both combinations. The GAML model with modifications in yours input parameters was suitable for the simulation of the water infiltration process for all precipitation patterns applied. For soils with soil crusting, the effect of this layer should be added in the input parameters of the model to obtain good results.A infiltração de água no solo é um importante componente do ciclo hidrológico, sendo influenciada por diversos fatores relacionados ao solo e as chuvas. Os objetivos deste trabalho foram avaliar a influência de aplicações sucessivas de precipitações com diferentes perfis, em solo nu e com cobertura de palhada, a fim de quantificar seu efeito na formação do encrostamento superficial e, conseqüentemente, na taxa de infiltração de água no solo; e avaliar o desempenho do modelo de Green-Ampt-Mein-Larson (GAML) e GAML modificado por Moore (1981), na simulação do processo de infiltração em solos com encrostamento superficial. Para cada perfil de precipitação (constante, exponencial decrescente, duplo exponencial adiantado e atrasado), foram aplicadas três precipitações sucessivas, em intervalos de 24 h, com uma lâmina média de 55 mm em cada precipitação. Na simulação do processo de infiltração, foi proposta a inclusão da camada de encrostamento superficial nos parâmetros de entrada do modelo. Para isso, no modelo de GAML o valor da condutividade hidráulica na zona de transmissão (Kt) foi considerado igual à taxa de infiltração estável (Tie) obtida em solo nu e igual a Kt*, que é igual a taxa de infiltração estável (Tie) (em solo com cobertura) multiplicada pelo fator f, que expressa o decaimento da Tie em função da energia cinética acumulada da chuva (Ec), ou seja, o valor de Kt variando ao longo do tempo. Para o modelo de GAML modificado por Moore (1981), foi proposto que a camada superficial (crosta) possuía espessura de 5 mm e condutividade hidráulica da crosta saturada (Kc) determinada a partir dos dados experimentais, e, também, igual a 10 e 25% da condutividade hidráulica do solo saturado (K0). A influência dos perfis de precipitação e das precipitações sucessivas na taxa e infiltração foi avaliada por meio de gráficos, análise de variância e teste de médias. A determinação das melhores combinações de parâmetros de entrada do modelo de GAML e GAML modificado por Moore (1981) foi avaliada com base no índice de concordância (c). Verificou-se que os diferentes perfis de precipitação não influenciaram a taxa de infiltração de água no solo, tanto para o solo nu como para o solo com cobertura, sendo esta influenciada somente pelas aplicações sucessivas, com menores valores da taxa de infiltração obtidos na 2ª e 3ª aplicações. Este comportamento pode ser explicado pelo fato de os perfis de precipitação utilizados apresentarem uma energia cinética acumulada da chuva de vii mesma magnitude. O decréscimo na taxa de infiltração em solo nu em relação ao solo com cobertura foi devido à formação de encrostamento superficial, formado logo na 1ª aplicação. A Tie em solo nu teve um decréscimo de 75% se comparada a Tie em solo com cobertura. O fator de decaimento da Tie f foi descrito por uma equação do tipo exponencial. Na simulação do processo de infiltração, para a 1ª aplicação da precipitação, em solo seco e com elevada capacidade de infiltração, o modelo GAML com o valor de Kt = Tie, determinada em solo com cobertura, obteve bons resultados, com desempenho acima de bom em 87,5% dos casos, considerando os quatro perfis de precipitação aplicados. Para a 2ª e 3ª aplicações, em solo úmido e com encrostamento superficial, as combinações que não consideraram o encrostamento superficial não apresentaram bons resultados, superestimando Ti e I ao longo do tempo, independente do perfil de precipitação aplicado. Para o modelo de GAML, os melhores resultados foram obtidos com uso de Kt igual à Tie determinada em solo nu e com Kt igual a Kt*, enquanto que no modelo GAML modificado por Moore (1981), os melhores resultados foram obtidos com valor de Kt da crosta igual a 10 e 25% de K0, com desempenho pelo índice c superior a bom em 100% dos casos para ambas as combinações. Conclui-se que o modelo de GAML com seus parâmetros de entrada modificados foi adequado para a simulação do processo de infiltração para todos os perfis de precipitação aplicados. Para solos com encrostamento superficial, o efeito desta camada deve ser embutido nos parâmetros de entrada do modelo para a obtenção de bons resultados.Conselho Nacional de Desenvolvimento Científico e Tecnológicoapplication/pdfporUniversidade Federal de ViçosaDoutorado em Engenharia AgrícolaUFVBRConstruções rurais e ambiência; Energia na agricultura; Mecanização agrícola; Processamento de produModelagemInfiltraçãoEncrostamentoModelingInfiltrationCrustingCNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLAInfiltração de água no solo sob diferentes perfis de precipitaçãoSoil water infiltration under different rainfall patternsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/openAccessreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFVORIGINALtexto completo.pdfapplication/pdf1981221https://locus.ufv.br//bitstream/123456789/691/1/texto%20completo.pdf5adcebfce733386336fac1b0577a1e53MD51TEXTtexto completo.pdf.txttexto completo.pdf.txtExtracted texttext/plain223607https://locus.ufv.br//bitstream/123456789/691/2/texto%20completo.pdf.txtafddf4fb3184ec47db03e896a05dc914MD52THUMBNAILtexto completo.pdf.jpgtexto completo.pdf.jpgIM Thumbnailimage/jpeg3570https://locus.ufv.br//bitstream/123456789/691/3/texto%20completo.pdf.jpgf86e44c8e4cf19c2905ed8b5c445da30MD53123456789/6912016-04-06 23:12:09.82oai:locus.ufv.br:123456789/691Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452016-04-07T02:12:09LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false
dc.title.por.fl_str_mv Infiltração de água no solo sob diferentes perfis de precipitação
dc.title.alternative.eng.fl_str_mv Soil water infiltration under different rainfall patterns
title Infiltração de água no solo sob diferentes perfis de precipitação
spellingShingle Infiltração de água no solo sob diferentes perfis de precipitação
Zonta, João Henrique
Modelagem
Infiltração
Encrostamento
Modeling
Infiltration
Crusting
CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
title_short Infiltração de água no solo sob diferentes perfis de precipitação
title_full Infiltração de água no solo sob diferentes perfis de precipitação
title_fullStr Infiltração de água no solo sob diferentes perfis de precipitação
title_full_unstemmed Infiltração de água no solo sob diferentes perfis de precipitação
title_sort Infiltração de água no solo sob diferentes perfis de precipitação
author Zonta, João Henrique
author_facet Zonta, João Henrique
author_role author
dc.contributor.authorLattes.por.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4734029A9
dc.contributor.author.fl_str_mv Zonta, João Henrique
dc.contributor.advisor-co1.fl_str_mv Pruski, Fernando Falco
dc.contributor.advisor-co1Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4727304E8
dc.contributor.advisor-co2.fl_str_mv Silva, Demetrius David da
dc.contributor.advisor-co2Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4786123E5
dc.contributor.advisor1.fl_str_mv Martinez, Mauro Aparecido
dc.contributor.advisor1Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4781072U1
dc.contributor.referee1.fl_str_mv Ramos, Márcio Mota
dc.contributor.referee1Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4783666U8
dc.contributor.referee2.fl_str_mv Cecílio, Roberto Avelino
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/5497084995510727
dc.contributor.referee3.fl_str_mv Silva, José Márcio Alves da
dc.contributor.referee3Lattes.fl_str_mv http://lattes.cnpq.br/8865986685041819
contributor_str_mv Pruski, Fernando Falco
Silva, Demetrius David da
Martinez, Mauro Aparecido
Ramos, Márcio Mota
Cecílio, Roberto Avelino
Silva, José Márcio Alves da
dc.subject.por.fl_str_mv Modelagem
Infiltração
Encrostamento
topic Modelagem
Infiltração
Encrostamento
Modeling
Infiltration
Crusting
CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
dc.subject.eng.fl_str_mv Modeling
Infiltration
Crusting
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
description The soil water infiltration is an important component of the hydrological cycle and is influenced by several factors related to soil and rainfall. The objectives of this work were to evaluate the influence of the successive application of different precipitation patterns in bare and covered soil, in order to quantify its effect on the formation of soil crusting, and consequently in the soil water infiltration rate; and evaluate the performance of the of Green-Ampt-Mein-Larson (GAML) and GAML modified by Moore (1981) models, in the simulation of infiltration process in soils with soil crusting. For each rainfall pattern (constant, exponential decreasing, double exponential early and late) we applied three successive precipitations in 24 h intervals, with an average depth of 55 mm. In the simulation of the infiltration process, was proposed to include the superficial layer of soil crusting on the input parameters of the model. For this, in the GAML model the value of hydraulic conductivity in the transmission zone (Kt) was considered equal to the stable infiltration rate (Tie) obtained in bare soil, and equal to Kt*, which equals Tie (coverage soil) multiplied by the factor f, which expresses the decay of the Tie as a function of cumulative rainfall kinetic energy (Ec), ie, the value of Kt varying over time. For the model of GAML modified by Moore (1981), it was proposed that the surface layer (crust) had a thickness of 5 mm and saturated crust hydraulic conductivity (Kc) determined from experimental data, and also equal to 10 and 25% of saturated hydraulic conductivity (K0). The influence of rainfall patterns and successive rainfall in infiltration rate was evaluated by graphs, variance analysis and mean test. The determination of the best combinations of input parameters of the GAML and GAML modified by Moore (1981) models were evaluated using the concordance index (c). It was found that the different rainfall patterns did not affect the soil water infiltration rate, both for the bare and coverage soil, which is influenced only by successive applications, with lower values of infiltration rates obtained in the 2nd and 3rd applications. This behavior can be explained because the rainfall cumulative kinetic energy has the same magnitude for both rainfall patterns. The decrease in infiltration rate in bare soil was due to formation of a superficial soil crust, formed as early as the 1st application. A Tie in bare soil declined by 75% if compared to Tie in covered soil. The f factor was described by an exponential equation. In the ix simulation of infiltration process for the 1st application of simulated rainfall in dry soil and with high soil water infiltration capacity, the model GAML with the value of Kt = Tie, determined in soil coverage, obtained good results, with performance better than good in 87.5% of cases, considering the four precipitation patterns used. For the 2nd and 3rd applications of simulated rainfall, in moist soil and soil crusting, the combinations that have not considered the soil crusting did not showed good results, overestimated Ti and I over time, regardless of precipitation patterns used. The best results were obtained using Kt equal to Tie determined in bare soil and equal to Kt = Kt*, while in Model GAML modified by Moore (1981), the best results were obtained with the Kt value of the crust equal to 10 and 25% K0, with performance by the c index better than good in 100% of the cases for both combinations. The GAML model with modifications in yours input parameters was suitable for the simulation of the water infiltration process for all precipitation patterns applied. For soils with soil crusting, the effect of this layer should be added in the input parameters of the model to obtain good results.
publishDate 2011
dc.date.available.fl_str_mv 2011-11-03
2015-03-26T12:31:15Z
dc.date.issued.fl_str_mv 2011-02-11
dc.date.accessioned.fl_str_mv 2015-03-26T12:31:15Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
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dc.identifier.citation.fl_str_mv ZONTA, João Henrique. Soil water infiltration under different rainfall patterns. 2011. 126 f. Tese (Doutorado em Construções rurais e ambiência; Energia na agricultura; Mecanização agrícola; Processamento de produ) - Universidade Federal de Viçosa, Viçosa, 2011.
dc.identifier.uri.fl_str_mv http://locus.ufv.br/handle/123456789/691
identifier_str_mv ZONTA, João Henrique. Soil water infiltration under different rainfall patterns. 2011. 126 f. Tese (Doutorado em Construções rurais e ambiência; Energia na agricultura; Mecanização agrícola; Processamento de produ) - Universidade Federal de Viçosa, Viçosa, 2011.
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