Statistical Approaches Link Sources of Sediment Contamination in Subtropical Reservoirs to Land Use: an Example from the Itupararanga Reservoir (Brazil)

Detalhes bibliográficos
Autor(a) principal: Frascareli, Daniele [UNESP]
Data de Publicação: 2022
Outros Autores: Gontijo, Erik Sartori Jeunon [UNESP], Silva, Sheila Cardoso, Melo, Darllene Silveira [UNESP], Bueno, Carolina de Castro, Simonetti, Vanessa C. [UNESP], Barth, Johannes A. C., Carlos, Viviane Moschini [UNESP], Rosa, André Henrique [UNESP], Friese, Kurt
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s11270-022-05574-0
http://hdl.handle.net/11449/239899
Resumo: The identification and characterisation of diffuse pollutant sources in reservoirs remain a challenge due to the complexity of catchments with their variety of land use types. A sediment fingerprinting approach was used in this investigation for determining the sources of contaminants in sediments. By using this approach, we demonstrated how the effects of land use on pollution load of the subtropical Itupararanga Reservoir in Brazil can be de-convoluted. Sediments were collected at seven sampling sites (S1–S7) over the length of the reservoir. This was matched by eight sampling sites (P1–P8) of soils from different land use types (agriculture, urban and forest). Investigated parameters included grain size, total nitrogen (TN), total phosphorus (TP), total carbon (TC), organic matter by loss on ignition (OM), total sulphur (TS), and major ions and metals (Ca2+, Mg2+, Na+, K+, NH4+, SO42−, Cl−, NO3−, As, Al, Ba, Cr, Cu, Fe, Mn, Ni and Zn). Our fingerprinting approach helped to outline horizontal spatial heterogeneities (categorised as riverine, transitional and lacustrine areas) that were attributed mainly to sand (> 26.7%), Si (569 g kg−1) and Cr (336 mg kg−1) at S1 (riverine area). Moreover, fine particles of silt and clay leached from agricultural activities were enriched with OM, TP, TN, TC, As and Cr. These types of sediments were deposited into transitional and lacustrine areas. Furthermore, urban soils were a source of sand and phosphorus to sediments. The fingerprinting method reduced the number of relevant parameters for source identification and helped to identify non-point sources of sediments.
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spelling Statistical Approaches Link Sources of Sediment Contamination in Subtropical Reservoirs to Land Use: an Example from the Itupararanga Reservoir (Brazil)Land useNon-point pollution sourcesSediment fingerprinting approachSpatial heterogeneitySubtropical reservoirsThe identification and characterisation of diffuse pollutant sources in reservoirs remain a challenge due to the complexity of catchments with their variety of land use types. A sediment fingerprinting approach was used in this investigation for determining the sources of contaminants in sediments. By using this approach, we demonstrated how the effects of land use on pollution load of the subtropical Itupararanga Reservoir in Brazil can be de-convoluted. Sediments were collected at seven sampling sites (S1–S7) over the length of the reservoir. This was matched by eight sampling sites (P1–P8) of soils from different land use types (agriculture, urban and forest). Investigated parameters included grain size, total nitrogen (TN), total phosphorus (TP), total carbon (TC), organic matter by loss on ignition (OM), total sulphur (TS), and major ions and metals (Ca2+, Mg2+, Na+, K+, NH4+, SO42−, Cl−, NO3−, As, Al, Ba, Cr, Cu, Fe, Mn, Ni and Zn). Our fingerprinting approach helped to outline horizontal spatial heterogeneities (categorised as riverine, transitional and lacustrine areas) that were attributed mainly to sand (> 26.7%), Si (569 g kg−1) and Cr (336 mg kg−1) at S1 (riverine area). Moreover, fine particles of silt and clay leached from agricultural activities were enriched with OM, TP, TN, TC, As and Cr. These types of sediments were deposited into transitional and lacustrine areas. Furthermore, urban soils were a source of sand and phosphorus to sediments. The fingerprinting method reduced the number of relevant parameters for source identification and helped to identify non-point sources of sediments.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Institute of Science and Technology São Paulo State University (UNESP), Avenida Três de Marco, 511, Alto da Boa Vista, SPDepartment Lake Research UFZ-Helmholtz Centre for Environmental Research, Brückstraße 3aOceanographic Institute Praça Do Oceanográico University of São Paulo (USP), 191, Butantã, SPDepartment of Geography and Geosciences GeoZentrum Nordbayern Friedrich-Alexander Universität Erlangen–Nürnberg (FAU), Schlossgarten 5Institute of Science and Technology São Paulo State University (UNESP), Avenida Três de Marco, 511, Alto da Boa Vista, SPCNPq: 158227/2018-2FAPESP: 16/15397-1FAPESP: 18/20326-1Universidade Estadual Paulista (UNESP)UFZ-Helmholtz Centre for Environmental ResearchUniversidade de São Paulo (USP)Friedrich-Alexander Universität Erlangen–Nürnberg (FAU)Frascareli, Daniele [UNESP]Gontijo, Erik Sartori Jeunon [UNESP]Silva, Sheila CardosoMelo, Darllene Silveira [UNESP]Bueno, Carolina de CastroSimonetti, Vanessa C. [UNESP]Barth, Johannes A. C.Carlos, Viviane Moschini [UNESP]Rosa, André Henrique [UNESP]Friese, Kurt2023-03-01T19:52:24Z2023-03-01T19:52:24Z2022-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s11270-022-05574-0Water, Air, and Soil Pollution, v. 233, n. 4, 2022.1573-29320049-6979http://hdl.handle.net/11449/23989910.1007/s11270-022-05574-02-s2.0-85128356670Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengWater, Air, and Soil Pollutioninfo:eu-repo/semantics/openAccess2023-03-01T19:52:25Zoai:repositorio.unesp.br:11449/239899Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:58:38.029546Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Statistical Approaches Link Sources of Sediment Contamination in Subtropical Reservoirs to Land Use: an Example from the Itupararanga Reservoir (Brazil)
title Statistical Approaches Link Sources of Sediment Contamination in Subtropical Reservoirs to Land Use: an Example from the Itupararanga Reservoir (Brazil)
spellingShingle Statistical Approaches Link Sources of Sediment Contamination in Subtropical Reservoirs to Land Use: an Example from the Itupararanga Reservoir (Brazil)
Frascareli, Daniele [UNESP]
Land use
Non-point pollution sources
Sediment fingerprinting approach
Spatial heterogeneity
Subtropical reservoirs
title_short Statistical Approaches Link Sources of Sediment Contamination in Subtropical Reservoirs to Land Use: an Example from the Itupararanga Reservoir (Brazil)
title_full Statistical Approaches Link Sources of Sediment Contamination in Subtropical Reservoirs to Land Use: an Example from the Itupararanga Reservoir (Brazil)
title_fullStr Statistical Approaches Link Sources of Sediment Contamination in Subtropical Reservoirs to Land Use: an Example from the Itupararanga Reservoir (Brazil)
title_full_unstemmed Statistical Approaches Link Sources of Sediment Contamination in Subtropical Reservoirs to Land Use: an Example from the Itupararanga Reservoir (Brazil)
title_sort Statistical Approaches Link Sources of Sediment Contamination in Subtropical Reservoirs to Land Use: an Example from the Itupararanga Reservoir (Brazil)
author Frascareli, Daniele [UNESP]
author_facet Frascareli, Daniele [UNESP]
Gontijo, Erik Sartori Jeunon [UNESP]
Silva, Sheila Cardoso
Melo, Darllene Silveira [UNESP]
Bueno, Carolina de Castro
Simonetti, Vanessa C. [UNESP]
Barth, Johannes A. C.
Carlos, Viviane Moschini [UNESP]
Rosa, André Henrique [UNESP]
Friese, Kurt
author_role author
author2 Gontijo, Erik Sartori Jeunon [UNESP]
Silva, Sheila Cardoso
Melo, Darllene Silveira [UNESP]
Bueno, Carolina de Castro
Simonetti, Vanessa C. [UNESP]
Barth, Johannes A. C.
Carlos, Viviane Moschini [UNESP]
Rosa, André Henrique [UNESP]
Friese, Kurt
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
UFZ-Helmholtz Centre for Environmental Research
Universidade de São Paulo (USP)
Friedrich-Alexander Universität Erlangen–Nürnberg (FAU)
dc.contributor.author.fl_str_mv Frascareli, Daniele [UNESP]
Gontijo, Erik Sartori Jeunon [UNESP]
Silva, Sheila Cardoso
Melo, Darllene Silveira [UNESP]
Bueno, Carolina de Castro
Simonetti, Vanessa C. [UNESP]
Barth, Johannes A. C.
Carlos, Viviane Moschini [UNESP]
Rosa, André Henrique [UNESP]
Friese, Kurt
dc.subject.por.fl_str_mv Land use
Non-point pollution sources
Sediment fingerprinting approach
Spatial heterogeneity
Subtropical reservoirs
topic Land use
Non-point pollution sources
Sediment fingerprinting approach
Spatial heterogeneity
Subtropical reservoirs
description The identification and characterisation of diffuse pollutant sources in reservoirs remain a challenge due to the complexity of catchments with their variety of land use types. A sediment fingerprinting approach was used in this investigation for determining the sources of contaminants in sediments. By using this approach, we demonstrated how the effects of land use on pollution load of the subtropical Itupararanga Reservoir in Brazil can be de-convoluted. Sediments were collected at seven sampling sites (S1–S7) over the length of the reservoir. This was matched by eight sampling sites (P1–P8) of soils from different land use types (agriculture, urban and forest). Investigated parameters included grain size, total nitrogen (TN), total phosphorus (TP), total carbon (TC), organic matter by loss on ignition (OM), total sulphur (TS), and major ions and metals (Ca2+, Mg2+, Na+, K+, NH4+, SO42−, Cl−, NO3−, As, Al, Ba, Cr, Cu, Fe, Mn, Ni and Zn). Our fingerprinting approach helped to outline horizontal spatial heterogeneities (categorised as riverine, transitional and lacustrine areas) that were attributed mainly to sand (> 26.7%), Si (569 g kg−1) and Cr (336 mg kg−1) at S1 (riverine area). Moreover, fine particles of silt and clay leached from agricultural activities were enriched with OM, TP, TN, TC, As and Cr. These types of sediments were deposited into transitional and lacustrine areas. Furthermore, urban soils were a source of sand and phosphorus to sediments. The fingerprinting method reduced the number of relevant parameters for source identification and helped to identify non-point sources of sediments.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-01
2023-03-01T19:52:24Z
2023-03-01T19:52:24Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/s11270-022-05574-0
Water, Air, and Soil Pollution, v. 233, n. 4, 2022.
1573-2932
0049-6979
http://hdl.handle.net/11449/239899
10.1007/s11270-022-05574-0
2-s2.0-85128356670
url http://dx.doi.org/10.1007/s11270-022-05574-0
http://hdl.handle.net/11449/239899
identifier_str_mv Water, Air, and Soil Pollution, v. 233, n. 4, 2022.
1573-2932
0049-6979
10.1007/s11270-022-05574-0
2-s2.0-85128356670
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Water, Air, and Soil Pollution
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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