Dinâmica da perda de solos no estado de Goiás entre 1985 - 2018

Detalhes bibliográficos
Autor(a) principal: Rosa, Lucas Espíndola
Data de Publicação: 2022
Tipo de documento: Tese
Idioma: por
Título da fonte: Repositório Institucional da UFG
Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tede/12917
Resumo: Estimating soil loss on a regional scale has been performed using quantitative methods and has been consolidated with the expanded use of Geographic Information Systems. The method with greater acceptance and better results to estimate soil losses is the Revised Universal Soil Loss Equation (RUSLE), a deterministic mathematical model with a systemic approach which is based on analyzing the interaction between the parts; it comprises a complex entity, which in this specific case is the loss of soil. RUSLE is constituted by the formula: A=R.K.LS.CP; a synthesis of the consideration of erosivity, erodibility, the topographic factor and soil use and cover, and presents representative accuracy in measuring soil losses, mainly with respect to its topographical factor. The Cerrado constitutes one of the most relevant Brazilian biomes and has about 52% of its remaining vegetation, of which only 33% belong to the state of Goiás (a central state in the composition of the biome), while there is only 15% remaining vegetation in its southern portion. Therefore, the following question arises based on this deforestation data, namely: Would deforestation be a conditioning factor for the increase in soil losses/degradation, or do its intrinsic factors, such as the topography, condition them? This work is a thesis due to the novelty of the multiscale verification of RUSLE from different locations in slope scales, hydrographic basins to regions. This work presents results that the topographic factor (LS-factor) is one of the most relevant in the model, where the greatest loss areas in the state of Goiás are located by their topographic elevations, including: the Serra Dourada de Goiás, the Serra dos Pirineus and the front of the Caiapó cuesta, whose reversals are caused by agriculture and present lower losses, followed by cumulative losses towards river gutters when the slope breaks due to replacement of soil use and cover. Pastures were the areas with the highest losses in the state, but they are necessarily associated with high LS factors, which thus indicate conditioning of potential energy based on what was observed in a region called the Weak or Late Zone.
id UFG-2_d8459bb11b0c10b99f476d2288d936ea
oai_identifier_str oai:repositorio.bc.ufg.br:tede/12917
network_acronym_str UFG-2
network_name_str Repositório Institucional da UFG
repository_id_str
spelling Cherem, Luis Felipe Soareshttp://lattes.cnpq.br/8363108286297687Siame, Lionelhttp://lattes.cnpq.br/4086837091170460Cherem, Luis Felipe SoaresNunes, Elizon Dias NunesBueno, Guilherme TaitsonZancopé, Márcio Henrique de CamposSantos, Leonardo José Cordeirohttp://lattes.cnpq.br/6482962736631878Rosa, Lucas Espíndola2023-06-27T10:43:57Z2023-06-27T10:43:57Z2022-12-06ROSA, L. E. Dinâmica da perda de solos no estado de Goiás entre 1985-2018. 2022. 110 f. Tese (Doutorado em Geografia) - Universidade Federal de Goiás, Goiânia, 2022.http://repositorio.bc.ufg.br/tede/handle/tede/12917Estimating soil loss on a regional scale has been performed using quantitative methods and has been consolidated with the expanded use of Geographic Information Systems. The method with greater acceptance and better results to estimate soil losses is the Revised Universal Soil Loss Equation (RUSLE), a deterministic mathematical model with a systemic approach which is based on analyzing the interaction between the parts; it comprises a complex entity, which in this specific case is the loss of soil. RUSLE is constituted by the formula: A=R.K.LS.CP; a synthesis of the consideration of erosivity, erodibility, the topographic factor and soil use and cover, and presents representative accuracy in measuring soil losses, mainly with respect to its topographical factor. The Cerrado constitutes one of the most relevant Brazilian biomes and has about 52% of its remaining vegetation, of which only 33% belong to the state of Goiás (a central state in the composition of the biome), while there is only 15% remaining vegetation in its southern portion. Therefore, the following question arises based on this deforestation data, namely: Would deforestation be a conditioning factor for the increase in soil losses/degradation, or do its intrinsic factors, such as the topography, condition them? This work is a thesis due to the novelty of the multiscale verification of RUSLE from different locations in slope scales, hydrographic basins to regions. This work presents results that the topographic factor (LS-factor) is one of the most relevant in the model, where the greatest loss areas in the state of Goiás are located by their topographic elevations, including: the Serra Dourada de Goiás, the Serra dos Pirineus and the front of the Caiapó cuesta, whose reversals are caused by agriculture and present lower losses, followed by cumulative losses towards river gutters when the slope breaks due to replacement of soil use and cover. Pastures were the areas with the highest losses in the state, but they are necessarily associated with high LS factors, which thus indicate conditioning of potential energy based on what was observed in a region called the Weak or Late Zone.A estimativa da perda de solos em escala regional tem sido feita a partir de métodos quantitativos e, com a ampliação do uso de Sistemas de Informação Geográfica, esse uso foi consolidado. O método com maior aceitação e melhores resultados para estimar as perdas de solo, é a Equação Universal de Perda de Solos Revisada – EUPS-R, modelo matemático determinístico de abordagem sistêmica, ou seja, que a partir da análise de interação entre as partes compreende uma entidade complexa, nesse caso específico a perda de solos. A EUPS-R, que é constituída pela formula A=R.K.LS.CP, síntese da consideração da erosividade, da erodibilidade, do fator topográfico e o uso e cobertura do solo, apresenta representativa acuidade na aferição das perdas do solo, principalmente no que diz respeito ao seu fator topográfico. Um dos mais relevantes biomas brasileiros, o Cerrado, apresenta cerca de 52% de sua vegetação remanescente, sendo destas, apenas 33% pertencentes ao estado de Goiás, estado nuclear na composição do bioma, sendo que na sua porção sul há apenas 15% de vegetação remanescente. Com base nesses dados de desmatamento, uma pergunta emana, seria o desmatamento uma condicionante do aumento das perdas/degradação dos solos, ou seus fatores intrínsecos como o topográfico as condicionam? Este trabalho se constitui de uma tese, em decorrência do ineditismo da verificação multiescalar da EUPS-R, a partir de distintas localidades em escalas de vertentes, bacias hidrográficas a regiões. Este trabalho apresenta resultados de que o fator topográfico (LS) mostra-se como um dos mais relevantes do modelo, onde no estado de Goiás, as áreas de maior perda se localizam por seus alçados topográficos, sendo-os: a Serra Dourada de Goiás, a Serra dos Pirineus e o front da cuesta Caiapó, cuesta esta que nos seus reversos tomados por agricultura apresentam menores perdas, seguidas de perdas cumulativas em direção as calhas fluviais, quando das rupturas de declive com substituição do uso e cobertura do solo. As pastagens se constituíram das áreas com maiores perdas do estado, mas estão obrigatoriamente associadas a altos fatores LS, o que indicam assim, um condicionamento da energia potencial, a partir do observado em uma região denominada de Zona Fraca ou Tardia.Submitted by Marlene Santos (marlene.bc.ufg@gmail.com) on 2023-06-26T21:26:06Z No. of bitstreams: 2 Tese - Lucas Espíndola Rosa - 2022.pdf: 4923157 bytes, checksum: 48c618c1fa4de576c885f4b87c94f025 (MD5) license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5)Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2023-06-27T10:43:57Z (GMT) No. of bitstreams: 2 Tese - Lucas Espíndola Rosa - 2022.pdf: 4923157 bytes, checksum: 48c618c1fa4de576c885f4b87c94f025 (MD5) license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5)Made available in DSpace on 2023-06-27T10:43:57Z (GMT). No. of bitstreams: 2 Tese - Lucas Espíndola Rosa - 2022.pdf: 4923157 bytes, checksum: 48c618c1fa4de576c885f4b87c94f025 (MD5) license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5) Previous issue date: 2022-12-06OutroporUniversidade Federal de GoiásPrograma de Pós-graduação em Geografia (IESA)UFGBrasilInstituto de Estudos Socioambientais - IESA (RMG)Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessModelagemDenudaçãoTaxas erosivasMorfogêneseModelingDenudationErosion ratesMorphogenesisCIENCIAS EXATAS E DA TERRA::GEOCIENCIAS::GEOGRAFIA FISICA::GEOECOLOGIADinâmica da perda de solos no estado de Goiás entre 1985 - 2018Dynamics of soil loss in the state of Goiás between 1985 - 2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesis61500500500500246765reponame:Repositório Institucional da UFGinstname:Universidade Federal de Goiás (UFG)instacron:UFGORIGINALTese - Lucas Espíndola Rosa - 2022.pdfTese - Lucas Espíndola Rosa - 2022.pdfapplication/pdf4923157http://repositorio.bc.ufg.br/tede/bitstreams/44248e57-4900-4d6d-aa6c-47f99213e143/download48c618c1fa4de576c885f4b87c94f025MD53CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805http://repositorio.bc.ufg.br/tede/bitstreams/54e01ac8-e310-4327-b15b-fdab57ac0f45/download4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.bc.ufg.br/tede/bitstreams/9ecdfa3e-ce6f-4b7c-8888-ed61517cb14c/download8a4605be74aa9ea9d79846c1fba20a33MD51tede/129172023-06-27 07:43:58.536http://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internationalopen.accessoai:repositorio.bc.ufg.br:tede/12917http://repositorio.bc.ufg.br/tedeRepositório InstitucionalPUBhttp://repositorio.bc.ufg.br/oai/requesttasesdissertacoes.bc@ufg.bropendoar:2023-06-27T10:43:58Repositório Institucional da UFG - Universidade Federal de Goiás (UFG)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
dc.title.pt_BR.fl_str_mv Dinâmica da perda de solos no estado de Goiás entre 1985 - 2018
dc.title.alternative.eng.fl_str_mv Dynamics of soil loss in the state of Goiás between 1985 - 2018
title Dinâmica da perda de solos no estado de Goiás entre 1985 - 2018
spellingShingle Dinâmica da perda de solos no estado de Goiás entre 1985 - 2018
Rosa, Lucas Espíndola
Modelagem
Denudação
Taxas erosivas
Morfogênese
Modeling
Denudation
Erosion rates
Morphogenesis
CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS::GEOGRAFIA FISICA::GEOECOLOGIA
title_short Dinâmica da perda de solos no estado de Goiás entre 1985 - 2018
title_full Dinâmica da perda de solos no estado de Goiás entre 1985 - 2018
title_fullStr Dinâmica da perda de solos no estado de Goiás entre 1985 - 2018
title_full_unstemmed Dinâmica da perda de solos no estado de Goiás entre 1985 - 2018
title_sort Dinâmica da perda de solos no estado de Goiás entre 1985 - 2018
author Rosa, Lucas Espíndola
author_facet Rosa, Lucas Espíndola
author_role author
dc.contributor.advisor1.fl_str_mv Cherem, Luis Felipe Soares
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/8363108286297687
dc.contributor.advisor-co1.fl_str_mv Siame, Lionel
dc.contributor.advisor-co1Lattes.fl_str_mv http://lattes.cnpq.br/4086837091170460
dc.contributor.referee1.fl_str_mv Cherem, Luis Felipe Soares
dc.contributor.referee2.fl_str_mv Nunes, Elizon Dias Nunes
dc.contributor.referee3.fl_str_mv Bueno, Guilherme Taitson
dc.contributor.referee4.fl_str_mv Zancopé, Márcio Henrique de Campos
dc.contributor.referee5.fl_str_mv Santos, Leonardo José Cordeiro
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/6482962736631878
dc.contributor.author.fl_str_mv Rosa, Lucas Espíndola
contributor_str_mv Cherem, Luis Felipe Soares
Siame, Lionel
Cherem, Luis Felipe Soares
Nunes, Elizon Dias Nunes
Bueno, Guilherme Taitson
Zancopé, Márcio Henrique de Campos
Santos, Leonardo José Cordeiro
dc.subject.por.fl_str_mv Modelagem
Denudação
Taxas erosivas
Morfogênese
topic Modelagem
Denudação
Taxas erosivas
Morfogênese
Modeling
Denudation
Erosion rates
Morphogenesis
CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS::GEOGRAFIA FISICA::GEOECOLOGIA
dc.subject.eng.fl_str_mv Modeling
Denudation
Erosion rates
Morphogenesis
dc.subject.cnpq.fl_str_mv CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS::GEOGRAFIA FISICA::GEOECOLOGIA
description Estimating soil loss on a regional scale has been performed using quantitative methods and has been consolidated with the expanded use of Geographic Information Systems. The method with greater acceptance and better results to estimate soil losses is the Revised Universal Soil Loss Equation (RUSLE), a deterministic mathematical model with a systemic approach which is based on analyzing the interaction between the parts; it comprises a complex entity, which in this specific case is the loss of soil. RUSLE is constituted by the formula: A=R.K.LS.CP; a synthesis of the consideration of erosivity, erodibility, the topographic factor and soil use and cover, and presents representative accuracy in measuring soil losses, mainly with respect to its topographical factor. The Cerrado constitutes one of the most relevant Brazilian biomes and has about 52% of its remaining vegetation, of which only 33% belong to the state of Goiás (a central state in the composition of the biome), while there is only 15% remaining vegetation in its southern portion. Therefore, the following question arises based on this deforestation data, namely: Would deforestation be a conditioning factor for the increase in soil losses/degradation, or do its intrinsic factors, such as the topography, condition them? This work is a thesis due to the novelty of the multiscale verification of RUSLE from different locations in slope scales, hydrographic basins to regions. This work presents results that the topographic factor (LS-factor) is one of the most relevant in the model, where the greatest loss areas in the state of Goiás are located by their topographic elevations, including: the Serra Dourada de Goiás, the Serra dos Pirineus and the front of the Caiapó cuesta, whose reversals are caused by agriculture and present lower losses, followed by cumulative losses towards river gutters when the slope breaks due to replacement of soil use and cover. Pastures were the areas with the highest losses in the state, but they are necessarily associated with high LS factors, which thus indicate conditioning of potential energy based on what was observed in a region called the Weak or Late Zone.
publishDate 2022
dc.date.issued.fl_str_mv 2022-12-06
dc.date.accessioned.fl_str_mv 2023-06-27T10:43:57Z
dc.date.available.fl_str_mv 2023-06-27T10:43:57Z
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.citation.fl_str_mv ROSA, L. E. Dinâmica da perda de solos no estado de Goiás entre 1985-2018. 2022. 110 f. Tese (Doutorado em Geografia) - Universidade Federal de Goiás, Goiânia, 2022.
dc.identifier.uri.fl_str_mv http://repositorio.bc.ufg.br/tede/handle/tede/12917
identifier_str_mv ROSA, L. E. Dinâmica da perda de solos no estado de Goiás entre 1985-2018. 2022. 110 f. Tese (Doutorado em Geografia) - Universidade Federal de Goiás, Goiânia, 2022.
url http://repositorio.bc.ufg.br/tede/handle/tede/12917
dc.language.iso.fl_str_mv por
language por
dc.relation.program.fl_str_mv 61
dc.relation.confidence.fl_str_mv 500
500
500
500
dc.relation.department.fl_str_mv 24
dc.relation.cnpq.fl_str_mv 676
dc.relation.sponsorship.fl_str_mv 5
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 Goiás
dc.publisher.program.fl_str_mv Programa de Pós-graduação em Geografia (IESA)
dc.publisher.initials.fl_str_mv UFG
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Instituto de Estudos Socioambientais - IESA (RMG)
publisher.none.fl_str_mv Universidade Federal de Goiás
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFG
instname:Universidade Federal de Goiás (UFG)
instacron:UFG
instname_str Universidade Federal de Goiás (UFG)
instacron_str UFG
institution UFG
reponame_str Repositório Institucional da UFG
collection Repositório Institucional da UFG
bitstream.url.fl_str_mv http://repositorio.bc.ufg.br/tede/bitstreams/44248e57-4900-4d6d-aa6c-47f99213e143/download
http://repositorio.bc.ufg.br/tede/bitstreams/54e01ac8-e310-4327-b15b-fdab57ac0f45/download
http://repositorio.bc.ufg.br/tede/bitstreams/9ecdfa3e-ce6f-4b7c-8888-ed61517cb14c/download
bitstream.checksum.fl_str_mv 48c618c1fa4de576c885f4b87c94f025
4460e5956bc1d1639be9ae6146a50347
8a4605be74aa9ea9d79846c1fba20a33
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFG - Universidade Federal de Goiás (UFG)
repository.mail.fl_str_mv tasesdissertacoes.bc@ufg.br
_version_ 1798044392013955072