Funções das áreas hidrologicamente frágeis na formação e modelagem do escoamento superficial na bacia experimental do Arroio Lajeado Ferreira, Arvorezinha - RS
Ano de defesa: | 2022 |
---|---|
Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | , , , |
Tipo de documento: | Tese |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Federal de Santa Maria
Centro de Ciências Rurais |
Programa de Pós-Graduação: |
Programa de Pós-Graduação em Ciência do Solo
|
Departamento: |
Agronomia
|
País: |
Brasil
|
Palavras-chave em Português: | |
Palavras-chave em Inglês: | |
Área do conhecimento CNPq: | |
Link de acesso: | http://repositorio.ufsm.br/handle/1/29721 |
Resumo: | Physically based and distributed erosion models like the Limburg Soil Erosion Model (LISEM) are complex and require high-quality information, equations aligned with the processes, and accurate spatial representation of controlling factors. However, the equifinality of parameter fitting, combined with simplifications in spatial representation, introduces uncertainties in the portrayal of certain processes. Initial soil water content (SWC) and saturated hydraulic conductivity (Ksat), which are related to the infiltration process and formation of surface runoff, are the most sensitive parameters in the hydrological calibration of the model. Studies indicate the need to force a reduction in conductivity values beyond their physical context on slopes, and there is a tendency to overestimate sediment production by the model in this catchment. This study tests the hypothesis that slope lines, variable source areas, riparian zones, and roads generate a significant proportion of surface runoff, and their representation is crucial for describing water and sediment connectivity in the basin. These landscape features result from the characteristics of topography and soil (impermeable surfaces, low Ksat, concentrated surface flow, and profile saturation). In the model, they served as calibration areas for SWC, Ksat and soil cohesion values. They were defined based on high-resolution digital terrain models, on which the topographic wetness index (TWI) was applied to determine regions susceptible to soil moisture conduction, concentration, and saturation. The model's performance was evaluated by simulating 150 rainfall events of varying magnitudes from 2014 to 2022. In the results, 98 events showed a Nash-Sutcliffe Efficiency (NSE) indicator greater than 0.5, indicating good to very good performance. It was concluded that the LISEM model demonstrates structural and functional capacity to represent landscape features that have a significant impact on hydrological and erosive processes. Through robust calibration using monitored events, the model maintained appropriate values of hydraulic conductivity estimates on slopes and calibrated soil moisture values consistent with physical reality. However, regarding sediment behavior, the model's representation of hydrologically fragile areas still carries uncertainties in simulating suspended sediment concentration and sediment yield. Nevertheless, it provided a better estimation of surface runoff formation on agricultural slopes, where concentrated flow causes disaggregation. The representation of concentrated flows on an expanded drainage network improved the response of runoff and the representation of sediment depletion in preferential pathways. |
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2023-07-20T11:11:59Z2023-07-20T11:11:59Z2022-10-31http://repositorio.ufsm.br/handle/1/29721Physically based and distributed erosion models like the Limburg Soil Erosion Model (LISEM) are complex and require high-quality information, equations aligned with the processes, and accurate spatial representation of controlling factors. However, the equifinality of parameter fitting, combined with simplifications in spatial representation, introduces uncertainties in the portrayal of certain processes. Initial soil water content (SWC) and saturated hydraulic conductivity (Ksat), which are related to the infiltration process and formation of surface runoff, are the most sensitive parameters in the hydrological calibration of the model. Studies indicate the need to force a reduction in conductivity values beyond their physical context on slopes, and there is a tendency to overestimate sediment production by the model in this catchment. This study tests the hypothesis that slope lines, variable source areas, riparian zones, and roads generate a significant proportion of surface runoff, and their representation is crucial for describing water and sediment connectivity in the basin. These landscape features result from the characteristics of topography and soil (impermeable surfaces, low Ksat, concentrated surface flow, and profile saturation). In the model, they served as calibration areas for SWC, Ksat and soil cohesion values. They were defined based on high-resolution digital terrain models, on which the topographic wetness index (TWI) was applied to determine regions susceptible to soil moisture conduction, concentration, and saturation. The model's performance was evaluated by simulating 150 rainfall events of varying magnitudes from 2014 to 2022. In the results, 98 events showed a Nash-Sutcliffe Efficiency (NSE) indicator greater than 0.5, indicating good to very good performance. It was concluded that the LISEM model demonstrates structural and functional capacity to represent landscape features that have a significant impact on hydrological and erosive processes. Through robust calibration using monitored events, the model maintained appropriate values of hydraulic conductivity estimates on slopes and calibrated soil moisture values consistent with physical reality. However, regarding sediment behavior, the model's representation of hydrologically fragile areas still carries uncertainties in simulating suspended sediment concentration and sediment yield. Nevertheless, it provided a better estimation of surface runoff formation on agricultural slopes, where concentrated flow causes disaggregation. The representation of concentrated flows on an expanded drainage network improved the response of runoff and the representation of sediment depletion in preferential pathways.Modelos erosivos de base física e distribuída como o Limburg Soil Erosion Model (LISEM) são complexos e demandam informações de qualidade, equações em sintonia com os processos, e fiel representação espacial dos fatores controladores. Porém, a equifinalidade do ajuste de parâmetros associada com simplificações da representação espacial, trazem incertezas na representação de alguns processos. O conteúdo de água inicial do solo e a condutividade hidráulica saturada, relacionados com o processo de infiltração e formação do escoamento superficial, são os parâmetros mais sensíveis na calibração hidrológica do modelo. Estudos apontam que é necessário forçar a redução da condutividade para valores fora de seu contexto físico sobre as encostas e existe uma tendência para a superestimativa da produção de sedimentos pelo modelo nesta bacia. Este trabalho testa a hipótese que as linhas de vertentes nas encostas, áreas de afluência variável, zonas ripárias e estradas, geram elevada proporção do escoamento superficial e sua representação é fundamental para descrever a conectividade de água e sedimentos na bacia. Esses locais na paisagem são decorrentes das características do relevo e do solo (impermeáveis, baixa Ksat, concentradoras de fluxo em superfície, saturação do perfil). No modelo serviram como área de calibração dos valores de conteúdo de SWC, Ksat e coesão do solo. Foram definidas a partir do modelo digital de terreno de precisão, sobre o qual foi aplicado o índice topográfico TWI para determinar regiões sujeitas à condução, concentração e saturação de umidade no solo. Para a simulação do processo, avaliou-se o desempenho do modelo em 150 eventos de chuva de diferentes magnitudes no período de 2014 a 2022. Nos resultados, 98 apresentaram indicador NSE > 0.5, sendo considerados bons a muito bons. Concluiu-se que o modelo LISEM apresenta capacidade estrutural e funcional para poder representar as feições da paisagem que tem maior impacto nos processos hidrológicos e erosivos. A modelagem permitiu, sobre uma base robusta de eventos monitorados, boa calibração dos eventos através da manutenção dos valores de estimativas de condutividade hidráulica sobre as encostas e amplitude dos valores de umidade calibrados condizentes com a realidade física. Já para o comportamento dos sedimentos, o modelo com uso da abordagem de representação das áreas hidrologicamente frágeis, ainda apresenta incertezas para a simulação da concentração de sedimentos em suspensão e para a produção de sedimentos. Mas obtivemos melhor estimativa da formação de escoamento superficial sobre as encostas agrícolas que promovem desagregação nestes locais pelo fluxo concentrado. A representação dos fluxos concentrados sobre estruturas de rede de drenagem expandida melhorou a resposta do escoamento e a representação do exaurimento de sedimentos nos caminhos preferências.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESConselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPqporUniversidade Federal de Santa MariaCentro de Ciências RuraisPrograma de Pós-Graduação em Ciência do SoloUFSMBrasilAgronomiaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessLISEMSlope lineVariable source areaRiparian zonesRoadsSaturated hydraulic conductivityRunoffSediment yieldCNPQ::CIENCIAS AGRARIAS::AGRONOMIA::CIENCIA DO SOLOFunções das áreas hidrologicamente frágeis na formação e modelagem do escoamento superficial na bacia experimental do Arroio Lajeado Ferreira, Arvorezinha - RSFunctions of hydrologically fragile areas in the formation and modeling of surface runoff in the experimental catchment of the Arroio Lajeado Ferreira, Arvorezinha - RSinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisMinella, Jean Paolo Gomeshttp://lattes.cnpq.br/3194231720402587Silva, Yuri Jacques Agra Bezerra daBarros, Cláudia Alessandra Peixoto deReichert, José MiguelTassi, Rutineiahttp://lattes.cnpq.br/5667663038500207Schlesner, Alexandre Augusto5001001000056006006006006006006000be3342c-3c6d-4254-86a4-ae1d23338ab78d22f2fc-c140-479c-a54d-b38056e621be98f9740b-132f-406e-be77-ac1492c976ab3fe14744-92b8-4523-91ea-77a5992193b7c522cd45-5f51-4aaa-82ca-b343b9270e399ac45a22-81a8-4b28-a0be-b556e5ed86f4reponame:Biblioteca Digital de Teses e Dissertações do UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALTES_PPGCS_2022_SCHLESNER_ALEXANDRE.pdfTES_PPGCS_2022_SCHLESNER_ALEXANDRE.pdfTeseapplication/pdf6249595http://repositorio.ufsm.br/bitstream/1/29721/1/TES_PPGCS_2022_SCHLESNER_ALEXANDRE.pdf50aa2650fd88c6c15c73d88a5ce16f7eMD51LICENSElicense.txtlicense.txttext/plain; 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dc.title.por.fl_str_mv |
Funções das áreas hidrologicamente frágeis na formação e modelagem do escoamento superficial na bacia experimental do Arroio Lajeado Ferreira, Arvorezinha - RS |
dc.title.alternative.eng.fl_str_mv |
Functions of hydrologically fragile areas in the formation and modeling of surface runoff in the experimental catchment of the Arroio Lajeado Ferreira, Arvorezinha - RS |
title |
Funções das áreas hidrologicamente frágeis na formação e modelagem do escoamento superficial na bacia experimental do Arroio Lajeado Ferreira, Arvorezinha - RS |
spellingShingle |
Funções das áreas hidrologicamente frágeis na formação e modelagem do escoamento superficial na bacia experimental do Arroio Lajeado Ferreira, Arvorezinha - RS Schlesner, Alexandre Augusto LISEM Slope line Variable source area Riparian zones Roads Saturated hydraulic conductivity Runoff Sediment yield CNPQ::CIENCIAS AGRARIAS::AGRONOMIA::CIENCIA DO SOLO |
title_short |
Funções das áreas hidrologicamente frágeis na formação e modelagem do escoamento superficial na bacia experimental do Arroio Lajeado Ferreira, Arvorezinha - RS |
title_full |
Funções das áreas hidrologicamente frágeis na formação e modelagem do escoamento superficial na bacia experimental do Arroio Lajeado Ferreira, Arvorezinha - RS |
title_fullStr |
Funções das áreas hidrologicamente frágeis na formação e modelagem do escoamento superficial na bacia experimental do Arroio Lajeado Ferreira, Arvorezinha - RS |
title_full_unstemmed |
Funções das áreas hidrologicamente frágeis na formação e modelagem do escoamento superficial na bacia experimental do Arroio Lajeado Ferreira, Arvorezinha - RS |
title_sort |
Funções das áreas hidrologicamente frágeis na formação e modelagem do escoamento superficial na bacia experimental do Arroio Lajeado Ferreira, Arvorezinha - RS |
author |
Schlesner, Alexandre Augusto |
author_facet |
Schlesner, Alexandre Augusto |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Minella, Jean Paolo Gomes |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/3194231720402587 |
dc.contributor.referee1.fl_str_mv |
Silva, Yuri Jacques Agra Bezerra da |
dc.contributor.referee2.fl_str_mv |
Barros, Cláudia Alessandra Peixoto de |
dc.contributor.referee3.fl_str_mv |
Reichert, José Miguel |
dc.contributor.referee4.fl_str_mv |
Tassi, Rutineia |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/5667663038500207 |
dc.contributor.author.fl_str_mv |
Schlesner, Alexandre Augusto |
contributor_str_mv |
Minella, Jean Paolo Gomes Silva, Yuri Jacques Agra Bezerra da Barros, Cláudia Alessandra Peixoto de Reichert, José Miguel Tassi, Rutineia |
dc.subject.por.fl_str_mv |
LISEM |
topic |
LISEM Slope line Variable source area Riparian zones Roads Saturated hydraulic conductivity Runoff Sediment yield CNPQ::CIENCIAS AGRARIAS::AGRONOMIA::CIENCIA DO SOLO |
dc.subject.eng.fl_str_mv |
Slope line Variable source area Riparian zones Roads Saturated hydraulic conductivity Runoff Sediment yield |
dc.subject.cnpq.fl_str_mv |
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA::CIENCIA DO SOLO |
description |
Physically based and distributed erosion models like the Limburg Soil Erosion Model (LISEM) are complex and require high-quality information, equations aligned with the processes, and accurate spatial representation of controlling factors. However, the equifinality of parameter fitting, combined with simplifications in spatial representation, introduces uncertainties in the portrayal of certain processes. Initial soil water content (SWC) and saturated hydraulic conductivity (Ksat), which are related to the infiltration process and formation of surface runoff, are the most sensitive parameters in the hydrological calibration of the model. Studies indicate the need to force a reduction in conductivity values beyond their physical context on slopes, and there is a tendency to overestimate sediment production by the model in this catchment. This study tests the hypothesis that slope lines, variable source areas, riparian zones, and roads generate a significant proportion of surface runoff, and their representation is crucial for describing water and sediment connectivity in the basin. These landscape features result from the characteristics of topography and soil (impermeable surfaces, low Ksat, concentrated surface flow, and profile saturation). In the model, they served as calibration areas for SWC, Ksat and soil cohesion values. They were defined based on high-resolution digital terrain models, on which the topographic wetness index (TWI) was applied to determine regions susceptible to soil moisture conduction, concentration, and saturation. The model's performance was evaluated by simulating 150 rainfall events of varying magnitudes from 2014 to 2022. In the results, 98 events showed a Nash-Sutcliffe Efficiency (NSE) indicator greater than 0.5, indicating good to very good performance. It was concluded that the LISEM model demonstrates structural and functional capacity to represent landscape features that have a significant impact on hydrological and erosive processes. Through robust calibration using monitored events, the model maintained appropriate values of hydraulic conductivity estimates on slopes and calibrated soil moisture values consistent with physical reality. However, regarding sediment behavior, the model's representation of hydrologically fragile areas still carries uncertainties in simulating suspended sediment concentration and sediment yield. Nevertheless, it provided a better estimation of surface runoff formation on agricultural slopes, where concentrated flow causes disaggregation. The representation of concentrated flows on an expanded drainage network improved the response of runoff and the representation of sediment depletion in preferential pathways. |
publishDate |
2022 |
dc.date.issued.fl_str_mv |
2022-10-31 |
dc.date.accessioned.fl_str_mv |
2023-07-20T11:11:59Z |
dc.date.available.fl_str_mv |
2023-07-20T11:11:59Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
format |
doctoralThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://repositorio.ufsm.br/handle/1/29721 |
url |
http://repositorio.ufsm.br/handle/1/29721 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.cnpq.fl_str_mv |
500100100005 |
dc.relation.confidence.fl_str_mv |
600 600 600 600 600 600 600 |
dc.relation.authority.fl_str_mv |
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dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria Centro de Ciências Rurais |
dc.publisher.program.fl_str_mv |
Programa de Pós-Graduação em Ciência do Solo |
dc.publisher.initials.fl_str_mv |
UFSM |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Agronomia |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria Centro de Ciências Rurais |
dc.source.none.fl_str_mv |
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