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

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 pro...

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Autores principales: Marano, Roberto Paulo, Filippi, Rocio
Formato: Artículo
Lenguaje:Inglés
Publicado: Elsevier 2018
Materias:
Acceso en línea: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
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author Marano, Roberto Paulo
Filippi, Rocio
author_browse Filippi, Rocio
Marano, Roberto Paulo
author_facet Marano, Roberto Paulo
Filippi, Rocio
author_sort Marano, Roberto Paulo
collection INTA Digital
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.
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spelling INTA33842023-10-12T12:17:53Z Water Footprint in paddy rice systems. Its determination in theprovinces of Santa Fe and Entre Ríos, Argentina Marano, Roberto Paulo Filippi, Rocio Arroz Oryza Sativa Balance Hídrico Inundación Rice Water Balance Flooding Water Policies Virtual Water Santa Fe Entre Ríos 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 2018-09-18T13:20:03Z 2018-09-18T13:20:03Z 2015-09 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng info:eu-repo/semantics/restrictedAccess application/pdf Santa Fe (province) Argentina (nation) Entre Ríos (province) Elsevier Ecological indicators 56 : 229-236. (September 2015)
spellingShingle Arroz
Oryza Sativa
Balance Hídrico
Inundación
Rice
Water Balance
Flooding
Water Policies
Virtual Water
Santa Fe
Entre Ríos
Marano, Roberto Paulo
Filippi, Rocio
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
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_short 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 rios argentina
topic Arroz
Oryza Sativa
Balance Hídrico
Inundación
Rice
Water Balance
Flooding
Water Policies
Virtual Water
Santa Fe
Entre Ríos
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
work_keys_str_mv AT maranorobertopaulo waterfootprintinpaddyricesystemsitsdeterminationintheprovincesofsantafeandentreriosargentina
AT filippirocio waterfootprintinpaddyricesystemsitsdeterminationintheprovincesofsantafeandentreriosargentina