Water Footprint in paddy rice systems. Its determination in theprovinces of Santa Fe and Entre Ríos, Argentina

Autores
Marano, Roberto Paulo; Filippi, Rocio
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In the context of social responsibility and, of the directives aimed at an integral management of natural resources, the Water Footprint (WF) has been widely spread as an indicator that contributes to a safe and sustainable use of water. The purpose of this study was to determine the WF for rice production (WFR) in two rice-growing areas in Argentina: central-east Entre Ríos and Santa Fe. The calculation was made using the methodology proposed in The Water Footprint Assessment Manual, according to which the WF of a crop, in this case rice, represents the relation between the amount of water satisfying the evapotranspiration demand (CWU) and the field productivity. The WF has three components: green (WFgreen), associated with rain used by the crop (CWUgreen); blue (WFblue), related to underground or surface water that fulfils the evapotranspiration demand (CWUblue); and grey (WFgrey), related to the volume of water required to dilute the residues of pollutants generated from the crop production. To estimate the CWUblue and CWUgreen, a rice water balance model (RWM), specifically developed for continuous flooding irrigation, was applied. Based on daily data of precipitation, crop evapotranspiration and soil variables the model allows calculating gross irrigation depth, surface runoff due to precipitations, variation of water stored in the soil, and deep percolation. Four agricultural seasons were assessed: 2009/2010, 2010/2011, 2011/2012, and 2012/2013. In Entre Ríos, WF was 987 m3 ton−1 (44% WFgreen and 56% WFblue), whereas in Santa Fe it was 846 m3 ton−1 (36% WFgreen and 64% WFblue). In accordance with related work in the region, WFgrey was not considered. Although only CWU is part of the WF calculation, the other components of the water balance are necessary for rice production. The RWM model determined the consumptive use of the crop and distinguished blue water from green water, besides calculating the other parameters of the water balance. This made possible to show the inefficiencies in the system since precipitations are not fully used. The WFR, together with these components, is useful to make comparisons between different regions and it is a tool to promote water saving, provided that it is complemented with specific policies, such as the differential application of irrigation taxes or electric power rates.
EEA Paraná
Fil: Marano, Roberto P. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias; Argentina
Fil: Filippi, Rocio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentina. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias; Argentina
Fuente
Ecological indicators 56 : 229-236. (September 2015)
Materia
Arroz
Oryza Sativa
Balance Hídrico
Inundación
Rice
Water Balance
Flooding
Water Policies
Virtual Water
Santa Fe
Entre Ríos
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/3384

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oai_identifier_str oai:localhost:20.500.12123/3384
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spelling Water Footprint in paddy rice systems. Its determination in theprovinces of Santa Fe and Entre Ríos, ArgentinaMarano, Roberto PauloFilippi, RocioArrozOryza SativaBalance HídricoInundaciónRiceWater BalanceFloodingWater PoliciesVirtual WaterSanta FeEntre RíosIn the context of social responsibility and, of the directives aimed at an integral management of natural resources, the Water Footprint (WF) has been widely spread as an indicator that contributes to a safe and sustainable use of water. The purpose of this study was to determine the WF for rice production (WFR) in two rice-growing areas in Argentina: central-east Entre Ríos and Santa Fe. The calculation was made using the methodology proposed in The Water Footprint Assessment Manual, according to which the WF of a crop, in this case rice, represents the relation between the amount of water satisfying the evapotranspiration demand (CWU) and the field productivity. The WF has three components: green (WFgreen), associated with rain used by the crop (CWUgreen); blue (WFblue), related to underground or surface water that fulfils the evapotranspiration demand (CWUblue); and grey (WFgrey), related to the volume of water required to dilute the residues of pollutants generated from the crop production. To estimate the CWUblue and CWUgreen, a rice water balance model (RWM), specifically developed for continuous flooding irrigation, was applied. Based on daily data of precipitation, crop evapotranspiration and soil variables the model allows calculating gross irrigation depth, surface runoff due to precipitations, variation of water stored in the soil, and deep percolation. Four agricultural seasons were assessed: 2009/2010, 2010/2011, 2011/2012, and 2012/2013. In Entre Ríos, WF was 987 m3 ton−1 (44% WFgreen and 56% WFblue), whereas in Santa Fe it was 846 m3 ton−1 (36% WFgreen and 64% WFblue). In accordance with related work in the region, WFgrey was not considered. Although only CWU is part of the WF calculation, the other components of the water balance are necessary for rice production. The RWM model determined the consumptive use of the crop and distinguished blue water from green water, besides calculating the other parameters of the water balance. This made possible to show the inefficiencies in the system since precipitations are not fully used. The WFR, together with these components, is useful to make comparisons between different regions and it is a tool to promote water saving, provided that it is complemented with specific policies, such as the differential application of irrigation taxes or electric power rates.EEA ParanáFil: Marano, Roberto P. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias; ArgentinaFil: Filippi, Rocio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentina. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias; ArgentinaElsevier2018-09-18T13:20:03Z2018-09-18T13:20:03Z2015-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/3384https://www.sciencedirect.com/science/article/pii/S1470160X1500151X?via%3Dihub1470-160Xhttp://dx.doi.org/10.1016/j.ecolind.2015.03.027Ecological indicators 56 : 229-236. (September 2015)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología AgropecuariaengSanta Fe (province)Argentina (nation)Entre Ríos (province)info:eu-repo/semantics/restrictedAccess2025-09-29T13:44:26Zoai:localhost:20.500.12123/3384instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:26.784INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Water Footprint in paddy rice systems. Its determination in theprovinces of Santa Fe and Entre Ríos, Argentina
title Water Footprint in paddy rice systems. Its determination in theprovinces of Santa Fe and Entre Ríos, Argentina
spellingShingle Water Footprint in paddy rice systems. Its determination in theprovinces of Santa Fe and Entre Ríos, Argentina
Marano, Roberto Paulo
Arroz
Oryza Sativa
Balance Hídrico
Inundación
Rice
Water Balance
Flooding
Water Policies
Virtual Water
Santa Fe
Entre Ríos
title_short Water Footprint in paddy rice systems. Its determination in theprovinces of Santa Fe and Entre Ríos, Argentina
title_full Water Footprint in paddy rice systems. Its determination in theprovinces of Santa Fe and Entre Ríos, Argentina
title_fullStr Water Footprint in paddy rice systems. Its determination in theprovinces of Santa Fe and Entre Ríos, Argentina
title_full_unstemmed Water Footprint in paddy rice systems. Its determination in theprovinces of Santa Fe and Entre Ríos, Argentina
title_sort Water Footprint in paddy rice systems. Its determination in theprovinces of Santa Fe and Entre Ríos, Argentina
dc.creator.none.fl_str_mv Marano, Roberto Paulo
Filippi, Rocio
author Marano, Roberto Paulo
author_facet Marano, Roberto Paulo
Filippi, Rocio
author_role author
author2 Filippi, Rocio
author2_role author
dc.subject.none.fl_str_mv Arroz
Oryza Sativa
Balance Hídrico
Inundación
Rice
Water Balance
Flooding
Water Policies
Virtual Water
Santa Fe
Entre Ríos
topic Arroz
Oryza Sativa
Balance Hídrico
Inundación
Rice
Water Balance
Flooding
Water Policies
Virtual Water
Santa Fe
Entre Ríos
dc.description.none.fl_txt_mv In the context of social responsibility and, of the directives aimed at an integral management of natural resources, the Water Footprint (WF) has been widely spread as an indicator that contributes to a safe and sustainable use of water. The purpose of this study was to determine the WF for rice production (WFR) in two rice-growing areas in Argentina: central-east Entre Ríos and Santa Fe. The calculation was made using the methodology proposed in The Water Footprint Assessment Manual, according to which the WF of a crop, in this case rice, represents the relation between the amount of water satisfying the evapotranspiration demand (CWU) and the field productivity. The WF has three components: green (WFgreen), associated with rain used by the crop (CWUgreen); blue (WFblue), related to underground or surface water that fulfils the evapotranspiration demand (CWUblue); and grey (WFgrey), related to the volume of water required to dilute the residues of pollutants generated from the crop production. To estimate the CWUblue and CWUgreen, a rice water balance model (RWM), specifically developed for continuous flooding irrigation, was applied. Based on daily data of precipitation, crop evapotranspiration and soil variables the model allows calculating gross irrigation depth, surface runoff due to precipitations, variation of water stored in the soil, and deep percolation. Four agricultural seasons were assessed: 2009/2010, 2010/2011, 2011/2012, and 2012/2013. In Entre Ríos, WF was 987 m3 ton−1 (44% WFgreen and 56% WFblue), whereas in Santa Fe it was 846 m3 ton−1 (36% WFgreen and 64% WFblue). In accordance with related work in the region, WFgrey was not considered. Although only CWU is part of the WF calculation, the other components of the water balance are necessary for rice production. The RWM model determined the consumptive use of the crop and distinguished blue water from green water, besides calculating the other parameters of the water balance. This made possible to show the inefficiencies in the system since precipitations are not fully used. The WFR, together with these components, is useful to make comparisons between different regions and it is a tool to promote water saving, provided that it is complemented with specific policies, such as the differential application of irrigation taxes or electric power rates.
EEA Paraná
Fil: Marano, Roberto P. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias; Argentina
Fil: Filippi, Rocio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentina. Universidad Nacional del Litoral. Facultad de Ciencias Agrarias; Argentina
description In the context of social responsibility and, of the directives aimed at an integral management of natural resources, the Water Footprint (WF) has been widely spread as an indicator that contributes to a safe and sustainable use of water. The purpose of this study was to determine the WF for rice production (WFR) in two rice-growing areas in Argentina: central-east Entre Ríos and Santa Fe. The calculation was made using the methodology proposed in The Water Footprint Assessment Manual, according to which the WF of a crop, in this case rice, represents the relation between the amount of water satisfying the evapotranspiration demand (CWU) and the field productivity. The WF has three components: green (WFgreen), associated with rain used by the crop (CWUgreen); blue (WFblue), related to underground or surface water that fulfils the evapotranspiration demand (CWUblue); and grey (WFgrey), related to the volume of water required to dilute the residues of pollutants generated from the crop production. To estimate the CWUblue and CWUgreen, a rice water balance model (RWM), specifically developed for continuous flooding irrigation, was applied. Based on daily data of precipitation, crop evapotranspiration and soil variables the model allows calculating gross irrigation depth, surface runoff due to precipitations, variation of water stored in the soil, and deep percolation. Four agricultural seasons were assessed: 2009/2010, 2010/2011, 2011/2012, and 2012/2013. In Entre Ríos, WF was 987 m3 ton−1 (44% WFgreen and 56% WFblue), whereas in Santa Fe it was 846 m3 ton−1 (36% WFgreen and 64% WFblue). In accordance with related work in the region, WFgrey was not considered. Although only CWU is part of the WF calculation, the other components of the water balance are necessary for rice production. The RWM model determined the consumptive use of the crop and distinguished blue water from green water, besides calculating the other parameters of the water balance. This made possible to show the inefficiencies in the system since precipitations are not fully used. The WFR, together with these components, is useful to make comparisons between different regions and it is a tool to promote water saving, provided that it is complemented with specific policies, such as the differential application of irrigation taxes or electric power rates.
publishDate 2015
dc.date.none.fl_str_mv 2015-09
2018-09-18T13:20:03Z
2018-09-18T13:20:03Z
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/20.500.12123/3384
https://www.sciencedirect.com/science/article/pii/S1470160X1500151X?via%3Dihub
1470-160X
http://dx.doi.org/10.1016/j.ecolind.2015.03.027
url http://hdl.handle.net/20.500.12123/3384
https://www.sciencedirect.com/science/article/pii/S1470160X1500151X?via%3Dihub
http://dx.doi.org/10.1016/j.ecolind.2015.03.027
identifier_str_mv 1470-160X
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Santa Fe (province)
Argentina (nation)
Entre Ríos (province)
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Ecological indicators 56 : 229-236. (September 2015)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.559606