Statistical Approaches Link Sources of Sediment Contamination in Subtropical Reservoirs to Land Use: an Example from the Itupararanga Reservoir (Brazil)
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , |
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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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 |
|
_version_ |
1808128588930613248 |