Identification of sediment sources in agricultural catchment of the Pernambuco state, Brazil
Autor(a) principal: | |
---|---|
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. |
id |
URPE_28035eb3dc5b24c4e8370d4e545499f4 |
---|---|
oai_identifier_str |
oai:tede2:tede2/8828 |
network_acronym_str |
URPE |
network_name_str |
Biblioteca Digital de Teses e Dissertações da UFRPE |
repository_id_str |
|
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 |
format |
doctoralThesis |
status_str |
publishedVersion |
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 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.program.fl_str_mv |
8551734419043507650 |
dc.relation.confidence.fl_str_mv |
600 600 600 |
dc.relation.department.fl_str_mv |
-6800553879972229205 |
dc.relation.cnpq.fl_str_mv |
-5919840527232375671 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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 |
dc.source.none.fl_str_mv |
reponame:Biblioteca Digital de Teses e Dissertações da UFRPE instname:Universidade Federal Rural de Pernambuco (UFRPE) instacron:UFRPE |
instname_str |
Universidade Federal Rural de Pernambuco (UFRPE) |
instacron_str |
UFRPE |
institution |
UFRPE |
reponame_str |
Biblioteca Digital de Teses e Dissertações da UFRPE |
collection |
Biblioteca Digital de Teses e Dissertações da UFRPE |
bitstream.url.fl_str_mv |
http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/8828/2/Fabio+Farias+Amorim.pdf http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/8828/1/license.txt |
bitstream.checksum.fl_str_mv |
a864627fd294588b60dfc5d078289dc2 bd3efa91386c1718a7f26a329fdcb468 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
repository.name.fl_str_mv |
Biblioteca Digital de Teses e Dissertações da UFRPE - Universidade Federal Rural de Pernambuco (UFRPE) |
repository.mail.fl_str_mv |
bdtd@ufrpe.br ||bdtd@ufrpe.br |
_version_ |
1810102268355149824 |