Regression modeling of field emissions in wheat production using a life cycle assessment (LCA) approach
Regression modeling of field emissions in wheat production using a life cycle assessment (LCA) approach
Authors
Khoshnevisan, Benyamin
Rafiee., Shahin
Omid, Mahmoud
Rafiee., Shahin
Omid, Mahmoud
Authors
Date
2015-01-14
Datos de publicación:
10.7770/ejee-V1N2-art502
Keywords
Trigo - Métodos de evaluación - Energía - Emisiones - Medioambiente
Collections
Abstract
Field emissions of Irianian wheat production
were investigated. Data were collected from 260
farms from the city of Fereydonshahr in the Esfahan
province. Life cycle assessment (LCA) methodology
was developed to assess environmental impacts associated
with the production of wheat in the studied region.
Global warming potential (GWP), eutrophication
potential (EP), human toxicity potential (HTP),
terrestrial eco-toxicity potential (TEP), oxidant formation
potential (OFP) and acidification potential
(AP) were calculated as 2620.86 kg CO2 eq.t-1 (tonne
of grain), 14.25 kg PO4
-2 eq.t-1, 1111.7 kg 1,4-DCB
eq.t-1, 10.59 kg 1,4-DCB eq.t-1, 0.0073 kg ethylene
eq.t-1 and 19.07 kg SO2 eq.t-1, respectively. In order
to specify a relationship between input materials and
field emissions (direct and indirect emission), the
Cobb-Douglass production function was applied.
The impacts of farm area, N, P2O5, K2O, diesel fuel
and biocides were entered as independent variables
and different impact categories as dependent variables.
RMSE of models for GWP, EP, HTP, TEP, OFP
and AP was 0.07, 0.19, 0.17, 0.34, 0.49 and 0.26, respectively.
Accordingly with a rise in farm size level,
the emissions per tonne of grain produced decreased.