JpGU-AGU Joint Meeting 2017

Presentation information

[EE] Poster

H (Human Geosciences) » H-CG Complex & General

[H-CG27] [EE] Coupled Human-Water Dynamics across Scales: Observations, Understanding, Modeling, and Management

Tue. May 23, 2017 10:45 AM - 12:15 PM Poster Hall (International Exhibition Hall HALL7)

convener:Taikan Oki(Institute of Industrial Science, The University of Tokyo), Murugesu Sivapalan(University of Illinois at Urbana Champaign), Giuliano Di Baldassarre(Uppsala University)

[HCG27-P04] Incorporation of a seawater desalination scheme into a global hydrological model

*Naota Hanasaki1,2, Sayaka Yoshikawa3, Kaoru Kakinuma3,4,5, Shinjiro Kanae3 (1.NIES National Institute of Environmental Studies, 2.IIASA International Institute for Applied Systems Analysis, 3.Tokyo Institute of Technology, 4.Columbia University, 5.NASA Goddard Institute for Space Studies)

Keywords:water resources, adaptation

Seawater desalination is a technology for providing fresh water to coastal arid regions. A model was developed to estimate the areas where seawater desalination is likely to be used as a major water source and the likely volume of production. The model was applied to the year of 2005 and showed fairly good reproduction of the historical geographical distribution and national production of desalinated water in the world. The model was applied globally to two periods in the future (2011-2040 and 2041-2070) under three distinct socioeconomic conditions, i.e., SSP1, SSP2, and SSP3. The results indicate that the usage of seawater desalination will have expanded in geographical extent, and that production will have increased by 1.4-2.1-fold in 2011-2040 compared to the present (from 2.8x10^9 m3 yr-1 in 2005 to 4.0-6.0x10^9 m3 yr-1), and 6.7-17.3-fold in 2041-2070 (from 18.7 to 48.6x10^9 m3 yr-1). The estimated global costs for production for each period are USD 1.1 10.6x10^9 (0.002-0.019 % of the total global GDP), USD 1.6-22.8x10^9 (0.001-0.020 %), and USD 7.5-183.9x10^9 (0.002-0.100 %), respectively. The large spreads in these projections are primarily attributable to variations within the socioeconomic scenarios and technological assumptions.