Accounting for the variability of field nitrogen emissions in the Life Cycle Assessment of agricultural systems. The case of slurry application. Langevin, B. Ph.D. Thesis, Doctorat ParisTech, 2010.
Accounting for the variability of field nitrogen emissions in the Life Cycle Assessment of agricultural systems. The case of slurry application. [pdf]Paper  abstract   bibtex   
The general objective of the thesis is to develop and validate an assessment framework of the environmental efficiency of slurry application techniques based on Life Cycle Assessment (LCA). A first LCA showed that the impact of the manufacturing and the use of slurry spreaders were negligible compared to those induced by the nitrogenous emissions (NH3, N2O & NO3) from the fertilized soil. These emissions depend on soil, climate and agricultural practices and are thus eminently site-specific. This is challenging for LCA, which is a method based on the absence of spatial differentiation. To account for the variability of nitrogenous emissions at field level in the LCA of the slurry application function, two approaches were followed: (A) by using experimental data from the literature which allowed to order four application techniques in a robust way, to quantify the variability of emissions and to discuss the uncertainty induced on LCA final results. (B) by using simulated data with models from soil physics, agro-climatology, and agronomy models. A coherent simulation tool was developed including the effects on nitrogenous emissions from i) the incorporation of slurry into the soil, ii) the soil compaction by the spreaders, iii) the spatial distribution of the slurry over the field. These effects were simulated in 5 sites in France over 7 years. The range of emissions for each technique estimated with both approaches was comparable. The use of models allowed to assess the contribution of each elementary effect on nitrogenous emissions and to order the applications techniques in a range of contrasted situations. Finally, a general methodology for the inclusion of variability in the environmental inventory for agricultural products is proposed.

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