Implementación de una nueva técnica para determinar el estado trófico del embalse Río Tercero (Córdoba, Argentina)

Autores
Bonansea, Matias; Garetto, Edgar German; Rodriguez, Claudia; Pinotti, Lucio Pedro
Año de publicación
2016
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The trophic state of a water body is determined by indexes, which allow an overall assessment of the quality of the reservoir. However, the main disadvantage of this methodology is its limited ability to expose spatio-temporal differences in the reservoir. Thus, there is a strong need to develop new technologies that can extend the scope of monitoring and management of water resources. The objective of this study is to determine the dynamic of the trophic state of Río Tercero Reservoir (Córdoba, Argentina), from the combination of preestablished geostatistical models, constructed from remote sensing data, and trophic indexes. In addition, the generated models were validated using data collected in new sampling campaings. Variables were measured in 15 sampling sites during two sampling campaigns (dry and wet seasons). Measured chlorophyll a concentration (Chl a) was combined with Landsat ETM+ data and geostatistical models to determine the spatio-temporal distribution of this variable in the reservoir. Using a geographic information system the constructed maps were combined with a trophic index to estimate the trophic state in the reservoir. Maps showed that estimated Chl a values in dry season were higher than in wet season which showed a longitudinal pattern with the lowest Chl a values in the West and highest concentrations in the East region of the reservoir. The same behavior was observed in the graphical representations of the trophic state. The developed methodology could be used by watershed authorities as a technological tool for the monitoring and managing of reservoirs. Also, it could be extrapolated to other water systems.
Fil: Bonansea, Matias. Universidad Nacional de Rio Cuarto. Facultad de Cs.exactas Fisicoquimicas y Naturales. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente.; Argentina
Fil: Garetto, Edgar German. Universidad Nacional de Rio Cuarto. Facultad de Agronomia y Veterinaria. Departamento de Ecología Agraria; Argentina
Fil: Rodriguez, Claudia. Universidad Nacional de Rio Cuarto. Facultad de Agronomia y Veterinaria. Departamento de Ecología Agraria; Argentina
Fil: Pinotti, Lucio Pedro. Departamentos de Estudios Básicos y Agropecuarios; Argentina. Universidad Nacional de Rio Cuarto. Facultad de Cs.exactas Fisicoquimicas y Naturales. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente.; Argentina
Materia
CONCENTRACIÓN DE CLOROFILA A
ESTADO TRÓFICO
EMBALSES
SENSORES REMOTOS
SISTEMA INFORMACIÓN GEOGRÁFICA
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/107963
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Implementación de una nueva técnica para determinar el estado trófico del embalse Río Tercero (Córdoba, Argentina)Bonansea, MatiasGaretto, Edgar GermanRodriguez, ClaudiaPinotti, Lucio PedroCONCENTRACIÓN DE CLOROFILA AESTADO TRÓFICOEMBALSESSENSORES REMOTOSSISTEMA INFORMACIÓN GEOGRÁFICAhttps://purl.org/becyt/ford/2.7https://purl.org/becyt/ford/2The trophic state of a water body is determined by indexes, which allow an overall assessment of the quality of the reservoir. However, the main disadvantage of this methodology is its limited ability to expose spatio-temporal differences in the reservoir. Thus, there is a strong need to develop new technologies that can extend the scope of monitoring and management of water resources. The objective of this study is to determine the dynamic of the trophic state of Río Tercero Reservoir (Córdoba, Argentina), from the combination of preestablished geostatistical models, constructed from remote sensing data, and trophic indexes. In addition, the generated models were validated using data collected in new sampling campaings. Variables were measured in 15 sampling sites during two sampling campaigns (dry and wet seasons). Measured chlorophyll a concentration (Chl a) was combined with Landsat ETM+ data and geostatistical models to determine the spatio-temporal distribution of this variable in the reservoir. Using a geographic information system the constructed maps were combined with a trophic index to estimate the trophic state in the reservoir. Maps showed that estimated Chl a values in dry season were higher than in wet season which showed a longitudinal pattern with the lowest Chl a values in the West and highest concentrations in the East region of the reservoir. The same behavior was observed in the graphical representations of the trophic state. The developed methodology could be used by watershed authorities as a technological tool for the monitoring and managing of reservoirs. Also, it could be extrapolated to other water systems.Fil: Bonansea, Matias. Universidad Nacional de Rio Cuarto. Facultad de Cs.exactas Fisicoquimicas y Naturales. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente.; ArgentinaFil: Garetto, Edgar German. Universidad Nacional de Rio Cuarto. Facultad de Agronomia y Veterinaria. Departamento de Ecología Agraria; ArgentinaFil: Rodriguez, Claudia. Universidad Nacional de Rio Cuarto. Facultad de Agronomia y Veterinaria. Departamento de Ecología Agraria; ArgentinaFil: Pinotti, Lucio Pedro. Departamentos de Estudios Básicos y Agropecuarios; Argentina. Universidad Nacional de Rio Cuarto. Facultad de Cs.exactas Fisicoquimicas y Naturales. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente.; ArgentinaUniversidad Nacional de La Plata. Instituto de Limnología Dr. Raúl A. Ringuelet2016-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/107963Bonansea, Matias; Garetto, Edgar German; Rodriguez, Claudia; Pinotti, Lucio Pedro; Implementación de una nueva técnica para determinar el estado trófico del embalse Río Tercero (Córdoba, Argentina); Universidad Nacional de La Plata. Instituto de Limnología Dr. Raúl A. Ringuelet; Biología Acuática; 31; 10-2016; 40-490326-1638CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/url/https://revistas.unlp.edu.ar/bacuatica/article/view/6586info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:37:44Zoai:ri.conicet.gov.ar:11336/107963instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:37:44.671CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Implementación de una nueva técnica para determinar el estado trófico del embalse Río Tercero (Córdoba, Argentina)
title Implementación de una nueva técnica para determinar el estado trófico del embalse Río Tercero (Córdoba, Argentina)
spellingShingle Implementación de una nueva técnica para determinar el estado trófico del embalse Río Tercero (Córdoba, Argentina)
Bonansea, Matias
CONCENTRACIÓN DE CLOROFILA A
ESTADO TRÓFICO
EMBALSES
SENSORES REMOTOS
SISTEMA INFORMACIÓN GEOGRÁFICA
title_short Implementación de una nueva técnica para determinar el estado trófico del embalse Río Tercero (Córdoba, Argentina)
title_full Implementación de una nueva técnica para determinar el estado trófico del embalse Río Tercero (Córdoba, Argentina)
title_fullStr Implementación de una nueva técnica para determinar el estado trófico del embalse Río Tercero (Córdoba, Argentina)
title_full_unstemmed Implementación de una nueva técnica para determinar el estado trófico del embalse Río Tercero (Córdoba, Argentina)
title_sort Implementación de una nueva técnica para determinar el estado trófico del embalse Río Tercero (Córdoba, Argentina)
dc.creator.none.fl_str_mv Bonansea, Matias
Garetto, Edgar German
Rodriguez, Claudia
Pinotti, Lucio Pedro
author Bonansea, Matias
author_facet Bonansea, Matias
Garetto, Edgar German
Rodriguez, Claudia
Pinotti, Lucio Pedro
author_role author
author2 Garetto, Edgar German
Rodriguez, Claudia
Pinotti, Lucio Pedro
author2_role author
author
author
dc.subject.none.fl_str_mv CONCENTRACIÓN DE CLOROFILA A
ESTADO TRÓFICO
EMBALSES
SENSORES REMOTOS
SISTEMA INFORMACIÓN GEOGRÁFICA
topic CONCENTRACIÓN DE CLOROFILA A
ESTADO TRÓFICO
EMBALSES
SENSORES REMOTOS
SISTEMA INFORMACIÓN GEOGRÁFICA
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.7
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The trophic state of a water body is determined by indexes, which allow an overall assessment of the quality of the reservoir. However, the main disadvantage of this methodology is its limited ability to expose spatio-temporal differences in the reservoir. Thus, there is a strong need to develop new technologies that can extend the scope of monitoring and management of water resources. The objective of this study is to determine the dynamic of the trophic state of Río Tercero Reservoir (Córdoba, Argentina), from the combination of preestablished geostatistical models, constructed from remote sensing data, and trophic indexes. In addition, the generated models were validated using data collected in new sampling campaings. Variables were measured in 15 sampling sites during two sampling campaigns (dry and wet seasons). Measured chlorophyll a concentration (Chl a) was combined with Landsat ETM+ data and geostatistical models to determine the spatio-temporal distribution of this variable in the reservoir. Using a geographic information system the constructed maps were combined with a trophic index to estimate the trophic state in the reservoir. Maps showed that estimated Chl a values in dry season were higher than in wet season which showed a longitudinal pattern with the lowest Chl a values in the West and highest concentrations in the East region of the reservoir. The same behavior was observed in the graphical representations of the trophic state. The developed methodology could be used by watershed authorities as a technological tool for the monitoring and managing of reservoirs. Also, it could be extrapolated to other water systems.
Fil: Bonansea, Matias. Universidad Nacional de Rio Cuarto. Facultad de Cs.exactas Fisicoquimicas y Naturales. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente.; Argentina
Fil: Garetto, Edgar German. Universidad Nacional de Rio Cuarto. Facultad de Agronomia y Veterinaria. Departamento de Ecología Agraria; Argentina
Fil: Rodriguez, Claudia. Universidad Nacional de Rio Cuarto. Facultad de Agronomia y Veterinaria. Departamento de Ecología Agraria; Argentina
Fil: Pinotti, Lucio Pedro. Departamentos de Estudios Básicos y Agropecuarios; Argentina. Universidad Nacional de Rio Cuarto. Facultad de Cs.exactas Fisicoquimicas y Naturales. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente.; Argentina
description The trophic state of a water body is determined by indexes, which allow an overall assessment of the quality of the reservoir. However, the main disadvantage of this methodology is its limited ability to expose spatio-temporal differences in the reservoir. Thus, there is a strong need to develop new technologies that can extend the scope of monitoring and management of water resources. The objective of this study is to determine the dynamic of the trophic state of Río Tercero Reservoir (Córdoba, Argentina), from the combination of preestablished geostatistical models, constructed from remote sensing data, and trophic indexes. In addition, the generated models were validated using data collected in new sampling campaings. Variables were measured in 15 sampling sites during two sampling campaigns (dry and wet seasons). Measured chlorophyll a concentration (Chl a) was combined with Landsat ETM+ data and geostatistical models to determine the spatio-temporal distribution of this variable in the reservoir. Using a geographic information system the constructed maps were combined with a trophic index to estimate the trophic state in the reservoir. Maps showed that estimated Chl a values in dry season were higher than in wet season which showed a longitudinal pattern with the lowest Chl a values in the West and highest concentrations in the East region of the reservoir. The same behavior was observed in the graphical representations of the trophic state. The developed methodology could be used by watershed authorities as a technological tool for the monitoring and managing of reservoirs. Also, it could be extrapolated to other water systems.
publishDate 2016
dc.date.none.fl_str_mv 2016-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/107963
Bonansea, Matias; Garetto, Edgar German; Rodriguez, Claudia; Pinotti, Lucio Pedro; Implementación de una nueva técnica para determinar el estado trófico del embalse Río Tercero (Córdoba, Argentina); Universidad Nacional de La Plata. Instituto de Limnología Dr. Raúl A. Ringuelet; Biología Acuática; 31; 10-2016; 40-49
0326-1638
CONICET Digital
CONICET
url http://hdl.handle.net/11336/107963
identifier_str_mv Bonansea, Matias; Garetto, Edgar German; Rodriguez, Claudia; Pinotti, Lucio Pedro; Implementación de una nueva técnica para determinar el estado trófico del embalse Río Tercero (Córdoba, Argentina); Universidad Nacional de La Plata. Instituto de Limnología Dr. Raúl A. Ringuelet; Biología Acuática; 31; 10-2016; 40-49
0326-1638
CONICET Digital
CONICET
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://revistas.unlp.edu.ar/bacuatica/article/view/6586
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional de La Plata. Instituto de Limnología Dr. Raúl A. Ringuelet
publisher.none.fl_str_mv Universidad Nacional de La Plata. Instituto de Limnología Dr. Raúl A. Ringuelet
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.069144

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