The calculation of emissions from the use of pesticides is a critical issue in LCA studies of agrifood products and only occasionally discussed in details in literature studies. The objective of this study is to assess the results of the application of PestLCI 2.0 model to the production of maize in Northern Italy using site-specific soil and climate data, which were added for this purpose in PestLCI database. In this way, the application of the tool and its database were tailored to that area. Moreover, the results were compared with those obtained assuming maize cultivation on other soil typologies in the surrounding areas. Results show that soil variation scarcely affects the emissions to air and surface water are whereas it affects significantly the emissions to groundwater. Finally, some features of PestLCI were highlighted and comments for a further improvement of the model were provided.

V. Fantin, S. Righi, A. Buscaroli, G. Garavini, A. Zamagni, T. Dijkman, et al. (2016). Application of PestLCI model to site-specific soil and climate conditions: the case of maize production in Northern Italy. ENEA – Servizio Promozione e Comunicazione.

Application of PestLCI model to site-specific soil and climate conditions: the case of maize production in Northern Italy

FANTIN, VALENTINA;RIGHI, SERENA;BUSCAROLI, ALESSANDRO;BONOLI, ALESSANDRA
2016

Abstract

The calculation of emissions from the use of pesticides is a critical issue in LCA studies of agrifood products and only occasionally discussed in details in literature studies. The objective of this study is to assess the results of the application of PestLCI 2.0 model to the production of maize in Northern Italy using site-specific soil and climate data, which were added for this purpose in PestLCI database. In this way, the application of the tool and its database were tailored to that area. Moreover, the results were compared with those obtained assuming maize cultivation on other soil typologies in the surrounding areas. Results show that soil variation scarcely affects the emissions to air and surface water are whereas it affects significantly the emissions to groundwater. Finally, some features of PestLCI were highlighted and comments for a further improvement of the model were provided.
2016
ATTI X Convegno dell’Associazione Rete Italiana LCA 2016
202
210
V. Fantin, S. Righi, A. Buscaroli, G. Garavini, A. Zamagni, T. Dijkman, et al. (2016). Application of PestLCI model to site-specific soil and climate conditions: the case of maize production in Northern Italy. ENEA – Servizio Promozione e Comunicazione.
V. Fantin; S. Righi; A. Buscaroli; G. Garavini; A. Zamagni; T. Dijkman; A. Bonoli
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/567043
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