Identification of sediment sources in agricultural catchment of the Pernambuco state, Brazil

Detalhes bibliográficos
Autor(a) principal: AMORIM, Fábio Farias
Data de Publicação: 2020
Tipo de documento: Tese
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações da UFRPE
Texto Completo: http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/8828
Resumo: Poor land management is among the controlling factors causing an increase in erosion rates and sediment transport in river catchments. Sediment source fingerprinting is increasingly used to investigate key sources of elevated sediment loss. The objective of this study was to evaluate the ability of colour proprieties, Near Infrared Spectroscopy (NIR) and Mid Infrared Spectroscopy (MIR) to apportion land use sediment sources (sugarcane (SC), unpaved roads (UR), cropland (CL) and channel banks (CB)) at sub-catchments (1.338 km2 and 1.453 km2) and catchment (2.857 km2) scales using both suspended (SS) and bed (BS) sediment samples. The results for the colour properties, NIR and MIR showed that the largest sources that contribute to sediments on the catchment-wide scale are the CB that contribute mostly to the discharge of SS, followed by the source of SC with the highest discharge of BS, for the properties organic compound with NIR spectroscopy, soil components with MIR spectroscopy and the combination of colours, NIR and MIR spectroscopy (CNM). Using the spectra of organic compounds from the NIR as tracers proved to be robust and suitable for discrimination between sediment sources in both sediments and basin scale size, with errors (RMSE and MAE) below 8%. We conclude that it is urgent to use management practices, such as the revitalization of areas of permanent preservation that comprise the set of riparian forests, slopes and headwaters of rivers, together with conservationist practices that control erosion and torrents in the agricultural perimeter of the hydrographic basin to reduce the environmental impact. impacts caused by the production of sediments for rivers.
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spelling SILVA, Yuri Jacques Agra Bezerra daBIONDI, Caroline MirandaLIMA, Renato Paiva deBARBOSA, Ronny Sobreirahttp://lattes.cnpq.br/1153251898296497AMORIM, Fábio Farias2023-02-13T22:03:12Z2020-02-28AMORIM, Fábio Farias. Identification of sediment sources in agricultural catchment of the Pernambuco state, Brazil. 2020.110 f. Tese (Programa de Pós-Graduação em Ciência do Solo) - Universidade Federal Rural de Pernambuco, Recife.http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/8828Poor land management is among the controlling factors causing an increase in erosion rates and sediment transport in river catchments. Sediment source fingerprinting is increasingly used to investigate key sources of elevated sediment loss. The objective of this study was to evaluate the ability of colour proprieties, Near Infrared Spectroscopy (NIR) and Mid Infrared Spectroscopy (MIR) to apportion land use sediment sources (sugarcane (SC), unpaved roads (UR), cropland (CL) and channel banks (CB)) at sub-catchments (1.338 km2 and 1.453 km2) and catchment (2.857 km2) scales using both suspended (SS) and bed (BS) sediment samples. The results for the colour properties, NIR and MIR showed that the largest sources that contribute to sediments on the catchment-wide scale are the CB that contribute mostly to the discharge of SS, followed by the source of SC with the highest discharge of BS, for the properties organic compound with NIR spectroscopy, soil components with MIR spectroscopy and the combination of colours, NIR and MIR spectroscopy (CNM). Using the spectra of organic compounds from the NIR as tracers proved to be robust and suitable for discrimination between sediment sources in both sediments and basin scale size, with errors (RMSE and MAE) below 8%. We conclude that it is urgent to use management practices, such as the revitalization of areas of permanent preservation that comprise the set of riparian forests, slopes and headwaters of rivers, together with conservationist practices that control erosion and torrents in the agricultural perimeter of the hydrographic basin to reduce the environmental impact. impacts caused by the production of sediments for rivers.A má gestão da terra está entre os fatores que causam aumento nas taxas de erosão e transporte de sedimentos nas bacias hidrográficas. A técnica “fingerprint sediments” de identificação das fontes de sedimentos é cada vez mais usada para investigar as principais fontes de perdas elevadas de sedimentos. O objetivo desse estudo foi avaliar a capacidade de propriedades de cores, Espectroscopia no Infravermelho Próximo (NIR) e Espectroscopia no Infravermelho Médio (MIR) de distribuir fontes de sedimento de uso da terra (cana-de-açúcar (SC), estradas não pavimentadas (UR), terras cultivadas (CL) e bancos de canais ( CB)) nas sub-bacias hidrográficas (1.338 km2 e 1.453 km2) e bacia hidrográfica (2.857 km2) usando amostras de sedimentos em suspensão (SS) e de leito (BS). Os resultados para as propriedade de cores, NIR e MIR mostraram que as maiores fontes que contribuem para sedimentos na escala de captação são as CB que contribuem majoritariamente para a descarga de SS, seguidas pela fonte de SC com maior descarga de BS, para as propriedades do composto orgânico com espectroscopia NIR, componentes do solo com espectroscopia MIR e a combinação de cores, NIR e MIR (CNM). O uso dos espectros de compostos orgânicos do NIR como traçadores mostrou-se robusto e adequado para discriminação entre as fontes de sedimentos tanto nos sedimentos quanto no tamanho da escala da bacia, com erros (RMSE e MAE) abaixo de 8%. Concluímos que é urgente o uso de práticas de manejo, como a revitalização de áreas de preservação permanente que compreendem o conjunto de matas ciliares, encostas e cabeceiras de rios, juntamente com práticas conservacionistas que controlam a erosão e torrentes no perímetro agrícola da bacia hidrográfica para reduzir o impacto ambiental. impactos causados pela produção de sedimentos para os rios.Submitted by (lucia.rodrigues@ufrpe.br) on 2023-02-13T22:03:12Z No. of bitstreams: 1 Fabio Farias Amorim.pdf: 7587886 bytes, checksum: a864627fd294588b60dfc5d078289dc2 (MD5)Made available in DSpace on 2023-02-13T22:03:12Z (GMT). No. of bitstreams: 1 Fabio Farias Amorim.pdf: 7587886 bytes, checksum: a864627fd294588b60dfc5d078289dc2 (MD5) Previous issue date: 2020-02-28application/pdfporUniversidade Federal Rural de PernambucoPrograma de Pós-Graduação em Ciência do SoloUFRPEBrasilDepartamento de AgronomiaIsótopos estáveisEspectroscopiaSoloComposto orgânicoModelagem estatísticaModelagem BayesianaAGRONOMIA::CIENCIA DO SOLOIdentification of sediment sources in agricultural catchment of the Pernambuco state, Brazilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesis8551734419043507650600600600-6800553879972229205-5919840527232375671info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFRPEinstname:Universidade Federal Rural de Pernambuco (UFRPE)instacron:UFRPEORIGINALFabio Farias Amorim.pdfFabio Farias Amorim.pdfapplication/pdf7587886http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/8828/2/Fabio+Farias+Amorim.pdfa864627fd294588b60dfc5d078289dc2MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82165http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/8828/1/license.txtbd3efa91386c1718a7f26a329fdcb468MD51tede2/88282023-02-13 19:03:12.099oai:tede2: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Biblioteca Digital de Teses e Dissertaçõeshttp://www.tede2.ufrpe.br:8080/tede/PUBhttp://www.tede2.ufrpe.br:8080/oai/requestbdtd@ufrpe.br ||bdtd@ufrpe.bropendoar:2024-05-28T12:37:29.026400Biblioteca Digital de Teses e Dissertações da UFRPE - Universidade Federal Rural de Pernambuco (UFRPE)false
dc.title.por.fl_str_mv Identification of sediment sources in agricultural catchment of the Pernambuco state, Brazil
title Identification of sediment sources in agricultural catchment of the Pernambuco state, Brazil
spellingShingle Identification of sediment sources in agricultural catchment of the Pernambuco state, Brazil
AMORIM, Fábio Farias
Isótopos estáveis
Espectroscopia
Solo
Composto orgânico
Modelagem estatística
Modelagem Bayesiana
AGRONOMIA::CIENCIA DO SOLO
title_short Identification of sediment sources in agricultural catchment of the Pernambuco state, Brazil
title_full Identification of sediment sources in agricultural catchment of the Pernambuco state, Brazil
title_fullStr Identification of sediment sources in agricultural catchment of the Pernambuco state, Brazil
title_full_unstemmed Identification of sediment sources in agricultural catchment of the Pernambuco state, Brazil
title_sort Identification of sediment sources in agricultural catchment of the Pernambuco state, Brazil
author AMORIM, Fábio Farias
author_facet AMORIM, Fábio Farias
author_role author
dc.contributor.advisor1.fl_str_mv SILVA, Yuri Jacques Agra Bezerra da
dc.contributor.referee1.fl_str_mv BIONDI, Caroline Miranda
dc.contributor.referee2.fl_str_mv LIMA, Renato Paiva de
dc.contributor.referee3.fl_str_mv BARBOSA, Ronny Sobreira
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/1153251898296497
dc.contributor.author.fl_str_mv AMORIM, Fábio Farias
contributor_str_mv SILVA, Yuri Jacques Agra Bezerra da
BIONDI, Caroline Miranda
LIMA, Renato Paiva de
BARBOSA, Ronny Sobreira
dc.subject.por.fl_str_mv Isótopos estáveis
Espectroscopia
Solo
Composto orgânico
Modelagem estatística
Modelagem Bayesiana
topic Isótopos estáveis
Espectroscopia
Solo
Composto orgânico
Modelagem estatística
Modelagem Bayesiana
AGRONOMIA::CIENCIA DO SOLO
dc.subject.cnpq.fl_str_mv AGRONOMIA::CIENCIA DO SOLO
description Poor land management is among the controlling factors causing an increase in erosion rates and sediment transport in river catchments. Sediment source fingerprinting is increasingly used to investigate key sources of elevated sediment loss. The objective of this study was to evaluate the ability of colour proprieties, Near Infrared Spectroscopy (NIR) and Mid Infrared Spectroscopy (MIR) to apportion land use sediment sources (sugarcane (SC), unpaved roads (UR), cropland (CL) and channel banks (CB)) at sub-catchments (1.338 km2 and 1.453 km2) and catchment (2.857 km2) scales using both suspended (SS) and bed (BS) sediment samples. The results for the colour properties, NIR and MIR showed that the largest sources that contribute to sediments on the catchment-wide scale are the CB that contribute mostly to the discharge of SS, followed by the source of SC with the highest discharge of BS, for the properties organic compound with NIR spectroscopy, soil components with MIR spectroscopy and the combination of colours, NIR and MIR spectroscopy (CNM). Using the spectra of organic compounds from the NIR as tracers proved to be robust and suitable for discrimination between sediment sources in both sediments and basin scale size, with errors (RMSE and MAE) below 8%. We conclude that it is urgent to use management practices, such as the revitalization of areas of permanent preservation that comprise the set of riparian forests, slopes and headwaters of rivers, together with conservationist practices that control erosion and torrents in the agricultural perimeter of the hydrographic basin to reduce the environmental impact. impacts caused by the production of sediments for rivers.
publishDate 2020
dc.date.issued.fl_str_mv 2020-02-28
dc.date.accessioned.fl_str_mv 2023-02-13T22:03:12Z
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 AMORIM, Fábio Farias. Identification of sediment sources in agricultural catchment of the Pernambuco state, Brazil. 2020.110 f. Tese (Programa de Pós-Graduação em Ciência do Solo) - Universidade Federal Rural de Pernambuco, Recife.
dc.identifier.uri.fl_str_mv http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/8828
identifier_str_mv AMORIM, Fábio Farias. Identification of sediment sources in agricultural catchment of the Pernambuco state, Brazil. 2020.110 f. Tese (Programa de Pós-Graduação em Ciência do Solo) - Universidade Federal Rural de Pernambuco, Recife.
url http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/8828
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dc.publisher.none.fl_str_mv Universidade Federal Rural de Pernambuco
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Ciência do Solo
dc.publisher.initials.fl_str_mv UFRPE
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Departamento de Agronomia
publisher.none.fl_str_mv Universidade Federal Rural de Pernambuco
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