Grey water footprint as an indicator for diffuse nitrogen pollution: the case of Navarra, Spain

dc.contributor.authorMartínez Aldaya, Maite
dc.contributor.authorRodríguez, Corina Iris
dc.contributor.authorFernández Poulussen, Álex
dc.contributor.authorMerchán Elena, Daniel
dc.contributor.authorBeriain Apesteguía, María José
dc.contributor.authorLlamas, Ramón
dc.contributor.departmentIngeniaritzaeu
dc.contributor.departmentInstitute on Innovation and Sustainable Development in Food Chain - ISFOODen
dc.contributor.departmentIngenieríaes_ES
dc.date.accessioned2019-09-16T09:33:26Z
dc.date.available2022-01-01T00:00:12Z
dc.date.issued2019
dc.description.abstractNitrogen is an essential element for plant growth, while its application and associated pollution is a worldwide concern. Generally, diffuse source pollution and its impacts on ecosystem health are difficult to monitor and regulate. Here we used the grey water footprint (GWF) and water pollution level (WPL) indicators, based on a soil nitrogen balance approach to differentiate between surface and groundwater, in order to better understand and quantify the pressure that nitrogen fertilisation generates on freshwater. For the first time, we compared the results of these indicators with actual nitrogen concentration data in surface and groundwater bodies, showing in both cases a positive significant correlation according to Spearman correlation coefficient. This means that the theoretical WPL results might be valuable to anticipate and identify nitrate pollution in surface and groundwater bodies. However, several factors influence the N-related processes that should be considered, such as natural attenuation. We estimated the agricultural and livestock nitrogen loads delivered to freshwater and the associated GWFs and WPLs at the municipality level in Navarra. Large GWFs are observed in southern Navarra, particularly in intensive agricultural regions such as Ribera Alta-Aragón and Ribera Baja. We estimated that 64% of the GWF related to nitrogen loads came from artificial fertilisers, 16% from manure, 11% from atmospheric deposition and the remaining 9% from biological fixation, seeds and other organic fertilisers. Among the crops, cereals had the largest contribution to the nitrogen-related GWF (54%) followed by vegetables (17%) and fodder (11%).en
dc.description.sponsorshipThis research has been carried out with the support of Obra Social La Caixa, Caja Navarra Foundation (Spain), UNICEN, CONICET, National Agency for Scientific and Technological Promotion (PICT 2017-0564) (Argentina), and research project CGL2015-64284-C2-1-R of the Spanish Ministry for the Economy and Competitiveness.en
dc.embargo.lift2022-01-01
dc.embargo.terms2022-01-01
dc.format.mimetypeapplication/pdfen
dc.format.mimetypeapplication/zipen
dc.identifier.doi10.1016/j.scitotenv.2019.134338
dc.identifier.issn1879-1026 (Electronic)
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/34834
dc.language.isospaen
dc.publisherElsevieren
dc.relation.ispartofScience of The Total Environment 698 (2020) 134338en
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//CGL2015-64284-C2-1-R/ES/
dc.relation.publisherversionhttps://doi.org/10.1016/j.scitotenv.2019.134338
dc.rights© 2019 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectGrey water footprinten
dc.subjectWater pollution levelen
dc.subjectNitrogenen
dc.subjectAgricultureen
dc.subjectLivestocken
dc.subjectNavarreen
dc.titleGrey water footprint as an indicator for diffuse nitrogen pollution: the case of Navarra, Spainen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
relation.isAuthorOfPublicationfcc7efae-8af2-461f-9f31-3170bf969849
relation.isAuthorOfPublication2b384316-333b-4c24-8fad-d9844d03df76
relation.isAuthorOfPublication1dddb737-e2da-4788-94bc-7f21e341be52
relation.isAuthorOfPublication.latestForDiscoveryfcc7efae-8af2-461f-9f31-3170bf969849

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