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Projections of industrial water withdrawal under shared socioeconomic pathways and climate mitigation scenarios

We estimated global future industrial water withdrawal (IWW) by considering socioeconomic driving forces, climate mitigation, and technological improvements, and by using the output of the Asia–Pacific Integrated Model/Computable General Equilibrium (AIM/CGE) model. We carried out this estimation in...

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Autores principales: Fujimori, Shinichiro, Hanasaki, Naota, Masui, Toshihiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Japan 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6106114/
https://www.ncbi.nlm.nih.gov/pubmed/30174753
http://dx.doi.org/10.1007/s11625-016-0392-2
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author Fujimori, Shinichiro
Hanasaki, Naota
Masui, Toshihiko
author_facet Fujimori, Shinichiro
Hanasaki, Naota
Masui, Toshihiko
author_sort Fujimori, Shinichiro
collection PubMed
description We estimated global future industrial water withdrawal (IWW) by considering socioeconomic driving forces, climate mitigation, and technological improvements, and by using the output of the Asia–Pacific Integrated Model/Computable General Equilibrium (AIM/CGE) model. We carried out this estimation in three steps. First, we developed a sector- and region-specific regression model for IWW. The model utilized and analyzed cross-country panel data using historical statistics of IWW for 10 sectors and 42 countries. Second, we estimated historical IWW by applying a regression model. Third, we projected future IWW from the output of AIM/CGE. For future projections, we considered and included multiple socioeconomic assumptions, namely different shared socioeconomic pathways (SSPs) with and without climate mitigation policy. In all of the baseline scenarios, IWW was projected to increase throughout the twenty-first century, but growth through the latter half of the century is likely to be modest mainly due to the effects of decreased water use intensity. The projections for global total IWW ranged from 461 to 1,560 km(3)/year in 2050 and from 196 to 1,463 km(3)/year in 2100. The effects of climate mitigation on IWW were both negative and positive, depending on the SSPs. We attributed differences among scenarios to the balance between the choices of carbon capture and storage (CCS) and renewable energy. A smaller share of CCS was accompanied by a larger share of non-thermal renewable energy, which requires a smaller amount of water withdrawal per unit of energy production. Renewable energy is, therefore, less water intensive than thermal power with CCS with regard to decarbonizing the power system.
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spelling pubmed-61061142018-08-30 Projections of industrial water withdrawal under shared socioeconomic pathways and climate mitigation scenarios Fujimori, Shinichiro Hanasaki, Naota Masui, Toshihiko Sustain Sci Original Article We estimated global future industrial water withdrawal (IWW) by considering socioeconomic driving forces, climate mitigation, and technological improvements, and by using the output of the Asia–Pacific Integrated Model/Computable General Equilibrium (AIM/CGE) model. We carried out this estimation in three steps. First, we developed a sector- and region-specific regression model for IWW. The model utilized and analyzed cross-country panel data using historical statistics of IWW for 10 sectors and 42 countries. Second, we estimated historical IWW by applying a regression model. Third, we projected future IWW from the output of AIM/CGE. For future projections, we considered and included multiple socioeconomic assumptions, namely different shared socioeconomic pathways (SSPs) with and without climate mitigation policy. In all of the baseline scenarios, IWW was projected to increase throughout the twenty-first century, but growth through the latter half of the century is likely to be modest mainly due to the effects of decreased water use intensity. The projections for global total IWW ranged from 461 to 1,560 km(3)/year in 2050 and from 196 to 1,463 km(3)/year in 2100. The effects of climate mitigation on IWW were both negative and positive, depending on the SSPs. We attributed differences among scenarios to the balance between the choices of carbon capture and storage (CCS) and renewable energy. A smaller share of CCS was accompanied by a larger share of non-thermal renewable energy, which requires a smaller amount of water withdrawal per unit of energy production. Renewable energy is, therefore, less water intensive than thermal power with CCS with regard to decarbonizing the power system. Springer Japan 2016-09-13 2017 /pmc/articles/PMC6106114/ /pubmed/30174753 http://dx.doi.org/10.1007/s11625-016-0392-2 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Fujimori, Shinichiro
Hanasaki, Naota
Masui, Toshihiko
Projections of industrial water withdrawal under shared socioeconomic pathways and climate mitigation scenarios
title Projections of industrial water withdrawal under shared socioeconomic pathways and climate mitigation scenarios
title_full Projections of industrial water withdrawal under shared socioeconomic pathways and climate mitigation scenarios
title_fullStr Projections of industrial water withdrawal under shared socioeconomic pathways and climate mitigation scenarios
title_full_unstemmed Projections of industrial water withdrawal under shared socioeconomic pathways and climate mitigation scenarios
title_short Projections of industrial water withdrawal under shared socioeconomic pathways and climate mitigation scenarios
title_sort projections of industrial water withdrawal under shared socioeconomic pathways and climate mitigation scenarios
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6106114/
https://www.ncbi.nlm.nih.gov/pubmed/30174753
http://dx.doi.org/10.1007/s11625-016-0392-2
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