Spatial differentiation in Life Cycle Assessment LCA applied to an agricultural territory: current practices and method development

Autor: Michael S. Corson, Joël Aubin, Valérie Viaud, Christian Walter, Laure Nitschelm
Přispěvatelé: Sol Agro et hydrosystème Spatialisation (SAS), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA)
Jazyk: angličtina
Rok vydání: 2016
Předmět:
020209 energy
Strategy and Management
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences
02 engineering and technology
010501 environmental sciences
Life Cycle Assessment
01 natural sciences
Industrial and Manufacturing Engineering
Life cycle inventory
0202 electrical engineering
electronic engineering
information engineering
Environmental impact assessment
Territory
Life-cycle assessment
0105 earth and related environmental sciences
General Environmental Science
2. Zero hunger
Land use
Renewable Energy
Sustainability and the Environment
business.industry
Environmental resource management
Agriculture
Life Cycle Assessment Territory Spatial differentiation Agriculture
15. Life on land
Method development
[SDE.ES]Environmental Sciences/Environmental and Society
Cradle to grave
Geography
Spatial differentiation
13. Climate action
business
Zdroj: Journal of Cleaner Production
Journal of Cleaner Production, Elsevier, 2016, 112, pp.2472-2484. ⟨10.1016/j.jclepro.2015.09.138⟩
Journal of Cleaner Production, Elsevier, 2016, 112, Part 4, pp.2472
ResearcherID
ISSN: 0959-6526
Popis: International; International audience; Life Cycle Assessment (LCA) is a methodological framework that estimates environmental impacts of products, systems or services in a life cycle perspective (from cradle to grave) at local to global levels. Some environmental impacts can vary depending on the characteristics of their surroundings, and therefore on the location of the activity. This variability can be taken into account in environmental assessment using spatialized LCA. Spatial differentiation is especially relevant when studying territories (ca. 100–10,000 km2), which often have high heterogeneity in environmental characteristics. In this study, we developed a method for spatialized territorial LCA (STLCA) that combines spatialized LCA and territorial LCA to study land-use planning in an agricultural territory. An agricultural territory is defined as a geographically delimited area in which the majority of land use or economic activity is based on agriculture. STLCA can estimate potential environmental impacts of an agricultural territory for land-planning purposes, such as which agricultural activities should be developed and where to locate them. The method consists of six steps: (1) defining boundaries and functions of the territory under study and identifying the human activities to include, (2) defining and locating activity and environment typologies within the territory, (3) determining the spatialized life cycle inventory by locating emissions using regional data, if possible, (4) determining spatialized life cycle impact assessment for all regional impacts considered, (5) mapping impacts inside and outside the territory, and finally (6) analyzing results using sensitivity and uncertainty analysis. Objectives of this method are to (1) give more accurate results than a territorial LCA without spatial differentiation, (2) help decrease environmental impacts within a territory while avoiding transfer of impacts to other territories and (3) help avoid or minimize impacts of exchanges of resources or products with other territories.
Databáze: OpenAIRE
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