Departamento de Ingeniería Química, Ambiental y de los Materiales
URI permanente para esta comunidadhttps://hdl.handle.net/10953/42
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Examinando Departamento de Ingeniería Química, Ambiental y de los Materiales por Autor "Antón, Assumpció"
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Ítem Multi-objective optimization of rainfed and irrigated agricultural areas considering production and environmental criteria: A case study of wheat production in Spain(Elsevier Ltd, 2017-01-01) Galán-Martín, Ángel; Vaskan, Pavel; Antón, Assumpció; Jiménez-Esteller, Laureano; Guillén-Gosálbez, GonzaloMeeting the growing food demand with minimum impact on the environment is a major challenge to face for ensuring a more sustainable food production. To tackle this problem, in this article we present a novel systematic method for agriculture planning that optimally allocates rainfed and irrigated cropping areas, thereby enhancing food availability and reducing the environmental impact of agriculture. The allocation problem is mathematically formulated as a multi-objective linear programming problem that simultaneously accounts for the maximisation of the crop production and the minimisation of the environmental impact caused by water consumption. To quantify the environmental damage, life cycle assessment principles and water footprint concepts are integrated into the model. The capabilities of our tool are illustrated through its application to a real case study that considers wheat production in Spain. The results show that the current allocation of rainfed and irrigated wheat areas in Spain is sub-optimal. Our tool provides a set of alternatives for optimally reallocating these wheat areas that ultimately achieve significant reductions in environmental impact while maintaining or even increasing the production level. The analysis clearly demonstrates that the optimal allocation of rainfed and irrigated cropping areas is a potential pathway to minimise the environmental impact of water consumption in food production. Our systematic decision-support tool aims to assist famers and policy-makers in the transition towards a more sustainable agricultural sector.Ítem Multi-stage linear programming model for optimizing cropping plan decisions under the new Common Agricultural Policy(Elsevier Ltd, 2015-11-01) Galán-Martín, Ángel; Pozo, Carlos; Guillén-Gosálbez, Gonzalo; Antón, Assumpció; Jiménez-Esteller, LaureanoThe new European Union’s Common Agricultural Policy will cover the period from 2015 to 2020. Significant novelties in the payment scheme have been introduced which may potentially encourage farmers to implement changes at the farm level by meeting certain environmental requirements in return for support payments. The mandatory requirements, commonly known as ‘greening rules’, consist of crop diversification, maintenance of permanent grassland and establishment of an ecological focus area. This paper presents a decision-support tool based on a multi-stage linear programming model that identifies optimal cropping plan decisions under the new Common Agricultural Policy. The capabilities of our tool are illustrated through its application to the Spanish agricultural regions. Our method identifies the optimal cropping plan (i.e., crops to be grown and their acreage each year during the reform horizon) that maximizes the farmer’s net return in each region. Furthermore, the model can also be used to calculate the minimum subsidy value that would make the implementation of greening rules economically appealing, thereby promoting the widespread adoption of more sustainable agricultural practises.