Técnicas de separação do escoamento em pequena bacia rural

Detalhes bibliográficos
Ano de defesa: 2018
Autor(a) principal: Bernardi, Felipe lattes
Orientador(a): Piccilli, Daniel Gustavo Allasia lattes
Banca de defesa: Barros, Claudia Alessandra Peixoto de, Michel, Gean Paulo
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Santa Maria
Centro de Tecnologia
Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia Ambiental
Departamento: Engenharia Ambiental
País: Brasil
Palavras-chave em Português:
SiD
Palavras-chave em Inglês:
DSi
Área do conhecimento CNPq:
Link de acesso: http://repositorio.ufsm.br/handle/1/29661
Resumo: The observed flow in a hydrograph is composed by the surface flow, subsurface flow and groundwater flow due to their trajectory and time of detention. The separation of these components is a necessity to understand hydrological processes in watersheds through the use of hydrological and sediment modeling. Some methods have been developed with the aim of automating and simplifying the flow separation process. However, these methods are subjective because they do not represent the actual behavior of water in the soil. Among the flow separators, the separators based on mass balance and the empirical separators stand out. The mass balance methods assume that the different types of flows usually have different chemical characteristics and, by analyzing the composition in the flow of some conservative elements (tracers), their origin can be determined. Among the tracer options, dissolved Silica (DSi) is used for discretization of hydrological components because it is little reactive in the surface runoff. Empirical methods are usually developed based on the hypothetical model calibration with field measurements or simply based on experience. Among the empirical methods, Recursive Digital Filters (RDFs) are used to separate the flow by associating the high-frequency variation of the hydrograph to the surface flow and the low-frequency to the base flow. The parameters of this filter can be calibrated based on observed flow data and tracers. In this work, different methods for flow separation based on FDRs by Lyne and Hollick 1979, Chapman and Maxwell (1996) and Eckhardt (2005) were evaluated, using observed data of dissolved silicon (SiD) for a small basin in southern Brazil. The results showed a good adjustment of the Eckhardt filter to the separation determined with the SiD tracer and also allowed to suggest alternatives for the determination of the parameters in basins without data.
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spelling 2023-07-10T15:20:04Z2023-07-10T15:20:04Z2018-05-23http://repositorio.ufsm.br/handle/1/29661The observed flow in a hydrograph is composed by the surface flow, subsurface flow and groundwater flow due to their trajectory and time of detention. The separation of these components is a necessity to understand hydrological processes in watersheds through the use of hydrological and sediment modeling. Some methods have been developed with the aim of automating and simplifying the flow separation process. However, these methods are subjective because they do not represent the actual behavior of water in the soil. Among the flow separators, the separators based on mass balance and the empirical separators stand out. The mass balance methods assume that the different types of flows usually have different chemical characteristics and, by analyzing the composition in the flow of some conservative elements (tracers), their origin can be determined. Among the tracer options, dissolved Silica (DSi) is used for discretization of hydrological components because it is little reactive in the surface runoff. Empirical methods are usually developed based on the hypothetical model calibration with field measurements or simply based on experience. Among the empirical methods, Recursive Digital Filters (RDFs) are used to separate the flow by associating the high-frequency variation of the hydrograph to the surface flow and the low-frequency to the base flow. The parameters of this filter can be calibrated based on observed flow data and tracers. In this work, different methods for flow separation based on FDRs by Lyne and Hollick 1979, Chapman and Maxwell (1996) and Eckhardt (2005) were evaluated, using observed data of dissolved silicon (SiD) for a small basin in southern Brazil. The results showed a good adjustment of the Eckhardt filter to the separation determined with the SiD tracer and also allowed to suggest alternatives for the determination of the parameters in basins without data.A vazão observada em um hidrograma é composta pelo escoamento superficial, subsuperficial e o escoamento de base em função da sua trajetória e tempo de detenção. A separação desses componentes é uma necessidade para compreender processos hidrológicos em bacias hidrográficas por meio do uso da modelagem hidrológica e de sedimentos. Alguns métodos vêm sendo desenvolvidos com o objetivo de automatizar e simplificar o processo de separação do escoamento. No entanto, esses métodos são subjetivos por não expressar o real comportamento da água no solo. Dentre os separadores de escoamento ganham destaque aqueles baseado em balanço de massa e os empíricos. Os métodos de balanço de massa assumem o pressuposto de que os diferentes tipos de escoamentos normalmente possuem diferentes características químicas e, analisando a composição no escoamento de alguns elementos conservativos (traçadores), pode ser determinada a sua origem. Dentre as opções de traçadores, o silício dissolvido (SiD) é utilizado para discretização de componentes hidrológicos pois é avaliado como pouco reativos no escoamento superficial. Já os métodos empíricos são normalmente desenvolvidos com base na calibração de um modelo hipotético com medidas de campo ou simplesmente baseado na experiência. Dentre os métodos empíricos ganham destaque os Filtros Digitais Recursivos (FDRs) que têm a finalidade de separar o escoamento associando a variação de alta-frequência do hidrograma ao escoamento superficial e a de baixa ao escoamento de base. Os parâmetros desse filtro podem ser calibrados com base em dados de vazão observada e de traçadores. Nesse trabalho foram avaliados diferentes métodos para separação do escoamento baseados em FDRs de Lyne e Hollick 1979, Chapman e Maxwell (1996) e Eckhardt (2005), utilizando dados observados de silício dissolvido (SiD) para uma pequena bacia no sul do Brasil. Os resultados mostraram um bom ajuste do filtro de Eckhardt à separação determinada com o traçador SiD e ainda permitiram sugerir alternativas para a determinação dos parâmetros em bacias sem dados.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESporUniversidade Federal de Santa MariaCentro de TecnologiaPrograma de Pós-Graduação em Engenharia AmbientalUFSMBrasilEngenharia AmbientalAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessTraçadoresFiltros digitais recursivosSiDEscoamento superficialTracersDigital recursive filtersDSiSubsuperficial flowCNPQ::ENGENHARIASTécnicas de separação do escoamento em pequena bacia ruralFlow separation techniques in small rural catchmentinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisPiccilli, Daniel Gustavo Allasiahttp://lattes.cnpq.br/3858010328968944Minella, Jean Paolo GomesBarros, Claudia Alessandra Peixoto deMichel, Gean Paulohttp://lattes.cnpq.br/1107716416003304Bernardi, Felipe3000000000096006006006006006001c2baa5d-393c-455f-a5e2-fb47cd900c30b336da6f-33db-42f0-ba5d-c95697417786fa10deaa-8349-4230-a714-bd77632883c368b26f04-49d0-4915-b63b-38248d38dc28c47b0661-7709-4efd-b78b-15bf9234729freponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805http://repositorio.ufsm.br/bitstream/1/29661/2/license_rdf4460e5956bc1d1639be9ae6146a50347MD52ORIGINALDIS_PPGEA_2018_BERNARDI_FELIPE.pdfDIS_PPGEA_2018_BERNARDI_FELIPE.pdfDissertaçãoapplication/pdf2699801http://repositorio.ufsm.br/bitstream/1/29661/1/DIS_PPGEA_2018_BERNARDI_FELIPE.pdf9e9bb0582ac7d14e187323007f87cf5bMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81956http://repositorio.ufsm.br/bitstream/1/29661/3/license.txt2f0571ecee68693bd5cd3f17c1e075dfMD531/296612023-07-10 12:20:04.857oai:repositorio.ufsm.br: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ório Institucionalhttp://repositorio.ufsm.br/PUBhttp://repositorio.ufsm.br/oai/requestopendoar:39132023-07-10T15:20:04Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.por.fl_str_mv Técnicas de separação do escoamento em pequena bacia rural
dc.title.alternative.eng.fl_str_mv Flow separation techniques in small rural catchment
title Técnicas de separação do escoamento em pequena bacia rural
spellingShingle Técnicas de separação do escoamento em pequena bacia rural
Bernardi, Felipe
Traçadores
Filtros digitais recursivos
SiD
Escoamento superficial
Tracers
Digital recursive filters
DSi
Subsuperficial flow
CNPQ::ENGENHARIAS
title_short Técnicas de separação do escoamento em pequena bacia rural
title_full Técnicas de separação do escoamento em pequena bacia rural
title_fullStr Técnicas de separação do escoamento em pequena bacia rural
title_full_unstemmed Técnicas de separação do escoamento em pequena bacia rural
title_sort Técnicas de separação do escoamento em pequena bacia rural
author Bernardi, Felipe
author_facet Bernardi, Felipe
author_role author
dc.contributor.advisor1.fl_str_mv Piccilli, Daniel Gustavo Allasia
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/3858010328968944
dc.contributor.advisor-co1.fl_str_mv Minella, Jean Paolo Gomes
dc.contributor.referee1.fl_str_mv Barros, Claudia Alessandra Peixoto de
dc.contributor.referee2.fl_str_mv Michel, Gean Paulo
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/1107716416003304
dc.contributor.author.fl_str_mv Bernardi, Felipe
contributor_str_mv Piccilli, Daniel Gustavo Allasia
Minella, Jean Paolo Gomes
Barros, Claudia Alessandra Peixoto de
Michel, Gean Paulo
dc.subject.por.fl_str_mv Traçadores
Filtros digitais recursivos
SiD
Escoamento superficial
topic Traçadores
Filtros digitais recursivos
SiD
Escoamento superficial
Tracers
Digital recursive filters
DSi
Subsuperficial flow
CNPQ::ENGENHARIAS
dc.subject.eng.fl_str_mv Tracers
Digital recursive filters
DSi
Subsuperficial flow
dc.subject.cnpq.fl_str_mv CNPQ::ENGENHARIAS
description The observed flow in a hydrograph is composed by the surface flow, subsurface flow and groundwater flow due to their trajectory and time of detention. The separation of these components is a necessity to understand hydrological processes in watersheds through the use of hydrological and sediment modeling. Some methods have been developed with the aim of automating and simplifying the flow separation process. However, these methods are subjective because they do not represent the actual behavior of water in the soil. Among the flow separators, the separators based on mass balance and the empirical separators stand out. The mass balance methods assume that the different types of flows usually have different chemical characteristics and, by analyzing the composition in the flow of some conservative elements (tracers), their origin can be determined. Among the tracer options, dissolved Silica (DSi) is used for discretization of hydrological components because it is little reactive in the surface runoff. Empirical methods are usually developed based on the hypothetical model calibration with field measurements or simply based on experience. Among the empirical methods, Recursive Digital Filters (RDFs) are used to separate the flow by associating the high-frequency variation of the hydrograph to the surface flow and the low-frequency to the base flow. The parameters of this filter can be calibrated based on observed flow data and tracers. In this work, different methods for flow separation based on FDRs by Lyne and Hollick 1979, Chapman and Maxwell (1996) and Eckhardt (2005) were evaluated, using observed data of dissolved silicon (SiD) for a small basin in southern Brazil. The results showed a good adjustment of the Eckhardt filter to the separation determined with the SiD tracer and also allowed to suggest alternatives for the determination of the parameters in basins without data.
publishDate 2018
dc.date.issued.fl_str_mv 2018-05-23
dc.date.accessioned.fl_str_mv 2023-07-10T15:20:04Z
dc.date.available.fl_str_mv 2023-07-10T15:20:04Z
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dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Centro de Tecnologia
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Engenharia Ambiental
dc.publisher.initials.fl_str_mv UFSM
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Engenharia Ambiental
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Centro de Tecnologia
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