e-ISSN: 1614-7502
Código de proyecto: Grant agreement No. 713679
Palabras clave: Unfccc Salca ipcc tiers Pef Nitrous oxide Nitrate leaching Ipcc tiers Daisy Animo Ammonia volatilization
Fecha de alta del registro: 2024-07-27
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: International Journal Of Life Cycle Assessment. 26 (2): 371-387
Referencia de l'ítem segons les normes APA: Andrade EP; Bonmati A; Esteller LJ; Montemayor E; Vallejo AA (2021). Performance and environmental accounting of nutrient cycling models to estimate nitrogen emissions in agriculture and their sensitivity in life cycle assessment. International Journal Of Life Cycle Assessment, 26(2), 371-387. DOI: 10.1007/s11367-021-01867-4
Acrónimo: MFP
Tipo de publicación: Journal Publications
Autor según el artículo: Andrade EP; Bonmati A; Esteller LJ; Montemayor E; Vallejo AA
Departamento: Enginyeria Química
Autor/es de la URV: Jiménez Esteller, Laureano / PEREIRA ANDRADE, EDILENE
Resumen: © 2021, The Author(s). Purpose: Several models are available in the literature to estimate agricultural emissions. From life cycle assessment (LCA) perspective, there is no standardized procedure for estimating emissions of nitrogen or other nutrients. This article aims to compare four agricultural models (PEF, SALCA, Daisy and Animo) with different complexity levels and test their suitability and sensitivity in LCA. Methods: Required input data, obtained outputs, and main characteristics of the models are presented. Then, the performance of the models was evaluated according to their potential feasibility to be used in estimating nitrogen emissions in LCA using an adapted version of the criteria proposed by the United Nations Framework Convention on Climate Change (UNFCCC), and other relevant studies, to judge their suitability in LCA. Finally, nitrogen emissions from a case study of irrigated maize in Spain were estimated using the selected models and were tested in a full LCA to characterize the impacts. Results and discussion: According to the set of criteria, the models scored, from best to worst: Daisy (77%), SALCA (74%), Animo (72%) and PEF (70%), being Daisy the most suitable model to LCA framework. Regarding the case study, the estimated emissions agreed to literature data for the irrigated corn crop in Spain and the Mediterranean, except N2O emissions. The impact characterization showed differences of up to 56% for the most relevant impact categories when considering nitrogen emissions. Additionally, an overview of the models used to estimate nitrogen emissions in LCA studies showed that many models have been used, but not always in a suitable or justified manner. Conclusions: Although mechanistic models are more laborious, mainly due to the amount of input data required, this study shows that Daisy could be a suitable model to estimate emissions when fertilizer application is relevant for the environmental study. In addition, and due to LCA urgently needing a solid methodology to estimate nitrogen emissions, mechanistic models such as Daisy could be used to estimate default values for different archetype scenarios.
Áreas temáticas: Materiais Interdisciplinar General environmental science Farmacia Environmental sciences Environmental science (miscellaneous) Environmental science (all) Ensino Engineering, environmental Engenharias iii Engenharias ii Engenharias i Economia Ciências ambientais Ciências agrárias i Ciência de alimentos Biotecnología Administração pública e de empresas, ciências contábeis e turismo
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 0948-3349
Direcció de correo del autor: edilene.pereira@urv.cat edilene.pereira@urv.cat laureano.jimenez@urv.cat
Identificador del autor: 0000-0001-8910-4911 0000-0001-8910-4911 0000-0002-3186-7235
Enlace a la fuente original: https://link.springer.com/article/10.1007%2Fs11367-021-01867-4
Programa de financiación: Marie Skłodowska-Curie Actions - European Union's Horizon 2020 research and innovation programme
DOI del artículo: 10.1007/s11367-021-01867-4
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2021
Acción del progama de financiación: Martí i Franquès COFUND Doctoral Programme
Repositori URV