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Evaluation du cycle de vie de scénarios de prévision pour la gestion de l'eau urbaine : une première mise en oeuvre du modèle WaLA sur la banlieue de Paris
- Source :
- Water Research, Water Research, IWA Publishing, 2016, 90, pp.128-140. ⟨10.1016/j.watres.2015.12.008⟩
- Publication Year :
- 2016
- Publisher :
- HAL CCSD, 2016.
-
Abstract
- International audience; A framework and an associated modeling tool to perform life cycle assessment (LCA) of urban water system, namely the WaLA model, has been recently developed. In this paper, the WaLA model is applied to a real case study: the urban water system of the Paris suburban area, in France. It aims to verify the capacity of the model to provide environmental insights to stakeholder's issues related to future trends influencing the system (e.g., evolution of water demand, increasing water scarcity) or policy responses (e.g., choices of water resources and technologies). This is achieved by evaluating a baseline scenario for 2012 and several forecasting scenarios for 2022 and 2050. The scenarios are designed through the modeling tool WaLA, which is implemented in Simulink/Matlab: it combines components representing the different technologies, users and resources of the UWS. The life cycle inventories of the technologies and users components include water quantity and quality changes, specific operation (electricity, chemicals) and infrastructures data (construction materials). The methods selected for the LCIA are midpoint ILCD, midpoint water deprivation impacts at the sub-river basin scale, and endpoint Impact 2002þ. The results of the baseline scenario show that wastewater treatment plants have the highest impacts compared to drinking water production and distribution, as traditionally encountered in LCA of UWS. The results of the forecasting scenarios show important changes in water deprivation impacts due to water management choices or effects of climate change. They also enable to identify tradeoffs with other impact categories and to compare several scenarios. It suggests the capacity of the model to deliver information for decision making about future policies.
- Subjects :
- Engineering
Conservation of Natural Resources
Paris
Environmental Engineering
ILCD
020209 energy
Climate Change
Water supply
02 engineering and technology
010501 environmental sciences
01 natural sciences
7. Clean energy
Waste Disposal, Fluid
12. Responsible consumption
Water scarcity
Water Purification
Effects of global warming
Water Supply
11. Sustainability
0202 electrical engineering, electronic engineering, information engineering
Computer Simulation
Cities
Baseline (configuration management)
Waste Management and Disposal
Life-cycle assessment
0105 earth and related environmental sciences
Water Science and Technology
Civil and Structural Engineering
business.industry
Ecological Modeling
Drinking Water
Environmental resource management
Stakeholder
Pollution
6. Clean water
Water resources
13. Climate action
[SDE]Environmental Sciences
Water Resources
business
Subjects
Details
- Language :
- English
- ISSN :
- 00431354
- Database :
- OpenAIRE
- Journal :
- Water Research, Water Research, IWA Publishing, 2016, 90, pp.128-140. ⟨10.1016/j.watres.2015.12.008⟩
- Accession number :
- edsair.doi.dedup.....eb7257e80a80b63890268bed368095a1
- Full Text :
- https://doi.org/10.1016/j.watres.2015.12.008⟩