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dc.contributor.authorJiménez, Juan J.es_ES
dc.contributor.authorDarwiche-Criado, Nadiaes_ES
dc.contributor.authorSorando, Ricardoes_ES
dc.contributor.authorComín, Francisco A.es_ES
dc.contributor.authorSánchez-Pérez, José Migueles_ES
dc.date.issued2015-01-02-
dc.identifier.citationJournal of Environmental Quality (on-line first): (2015)es_ES
dc.identifier.issn0047-2425-
dc.identifier.urihttp://hdl.handle.net/10261/120853-
dc.description.abstractMultivariate techniques for two-dimensional data matrices are normally used in water quality studies. However, if the temporal dimension is included in the analysis, other statistical techniques are recommended. In this study, partial triadic analysis (PTA) was used to investigate the spatial and temporal variability in water-quality variables sampled in a northeastern Spain river basin. The results highlight the spatiality of the physical and chemical properties of water at different sites along a river over one year. PTA allowed us to clearly identify the presence of a stable spatial structure that was common to all sampling dates across the entire catchment. Variables such as electrical conductivity (EC) and Na⁺ and Clˉ ions were associated with agricultural sources, whereas total dissolved nitrogen (TDN), NH₄⁺-N concentrations and NO₂ˉ-N concentrations were linked to polluted urban sites; differences were observed between irrigated and non-irrigated periods. The concentration of NO₃ˉ-N was associated with both agricultural and urban land uses. Variables associated with urban and agricultural pollution sources were highly influenced by the seasonality of different activities conducted in the study area. In analyzing the impact of land use and fertilization management on water runoff and effluents, powerful statistical tools that can properly identify the causes of pollution in watersheds are important. PTA can efficiently summarize site-specific water chemistry patterns in an applied setting for land- and water-monitoring schemes at the landscape level. The method is recommended for land-use decision-making processes to reduce harmful environmental effects and promote sustainable watershed management.es_ES
dc.description.sponsorshipThis work is a component of the AGUAFLASH project funded by the Program of Territorial Cooperation “Interreg IVB-SUDOE” (SOE1/P2/F146) and EU FEDER. The authors thank “Comarca de Los Monegros” for their continuous support and cooperation in the development of this project and C. Pedrocchi, J. Cervantes, S. G. Eismann, M. García, S. Pérez and A. Barcos for their comments and assistance during the field campaign and laboratory work. The assistance provided by Jean-Pierre Rossi in the correlogram computation is also acknowledged. Key formal cooperation during this research was provided by Mr. A. Calvo at CHE. The authors also thank AEMET (Spanish Meteorological Agency) for the meteorological data. All co-authors declare that they have no competing issues or conflicts of interest.es_ES
dc.language.isoenges_ES
dc.publisherCrop Science Society of Americaes_ES
dc.relation.isversionofPostprintes_ES
dc.rightsopenAccessen_EN
dc.subjectWater qualityes_ES
dc.subjectAgricultural intensificationes_ES
dc.subjectStatistical methodses_ES
dc.subjectPartial triadic analysises_ES
dc.subjectSpatial analysises_ES
dc.titleA methodological approach for spatiotemporally analyzing water-polluting effluents in agricultural landscapes using partial triadic analysis (PTA)es_ES
dc.typeArtículoes_ES
dc.identifier.doi10.2134/jeq2014.09.0377-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.2134/jeq2014.09.0377es_ES
dc.embargo.terms2017-01-02es_ES
dc.relation.csices_ES
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