DR-GLOBAL-IVM-WCI-10

Water scarcity conditions are expressed in this study by means of the Water Crowding Index (WCI), i.e. the annual water availability per capita (Falkenmark, 1986; 2013). Due to its ease in use and its simplicity in understanding, the WCI consists among the most often used indicators in water scarcity assessments, see for example: Falkenmark, 2013; Hoekstra et al., 2012; Kiguchi et al., 2014; Kummu et al., 2014; Oki & Kanae, 2006; Schewe et al. 2014, Veldkamp et al., 2015a, 2015b; Vorosmarty et al., 2000; Wada et al., 2011a. In line with previous studies, we used ≤1700 m3/capita per year as the threshold for moderate water scarcity conditions. Result found under severe (≤1000 m3/capita per year) and absolute (≤500 m3/capita per year) water scarcity conditions are presented in the supplementary. Population estimates per water province were derived using downscaled socio-economic scenarios from the Shared Socio-Economic pathways (Van Vuuren et al., 2007, 2011). Following Winsemius et al (in review), we used three SSP scenarios to complement the climate projections: (1) SSP1, forms with RCP2p6 the ‘Suitability’ storyline; (2) SSP3, forms with RCP6p0 the ‘Fragmented World storyline; and (3) SSP5, forms with RCP8p5 the ‘Fossil-fuel based development’ storyline. For an extensive discussion on these storylines and the associated SSP and RCP combinations we refer to Winsemius et al. (in review).

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Campo Valore
access_constraints ["Public Domain (PD): Works in the public domain may be used freely without the permission of the former copyright owner. (http://www.copyright.gov/help/faq/faq-definitions.html)", "Use of this data must reference:\nVeldkamp, T.I.E, Wada, Y., Aerts, J.C.J.H., Ward, P.J. (in prep) Using probabilistic methods in water scarcity assessments: A first step towards a water scarcity risk assessment framework. "]
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bbox-north-lat 156.829260002
bbox-south-lat -129.696888537
bbox-west-long -191.017187465
coupled-resource []
dataset-reference-date [{"type": "publication", "value": "2015-10-01T14:54:00Z"}]
frequency-of-update notPlanned
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metadata-date 2018-11-20T18:31:51Z
progress completed
resource-type dataset
responsible-party [{"name": "IVM / VU University Amsterdam", "roles": ["originator"]}]
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Tag
  • amerigeo
  • amerigeoss
  • disaster
  • drought
  • drr
  • geo
  • geonode
  • geospatial
  • geoss
  • gfdrr
  • gfdrrlab
  • gis
  • global
  • ivm
  • thinkhazard
  • thor
  • veldkamp
  • water-crowding-index
isopen False
metadata_created 2025-11-24T16:25:45.508338
metadata_modified 2025-11-24T16:25:45.508343
notes Water scarcity conditions are expressed in this study by means of the Water Crowding Index (WCI), i.e. the annual water availability per capita (Falkenmark, 1986; 2013). Due to its ease in use and its simplicity in understanding, the WCI consists among the most often used indicators in water scarcity assessments, see for example: Falkenmark, 2013; Hoekstra et al., 2012; Kiguchi et al., 2014; Kummu et al., 2014; Oki & Kanae, 2006; Schewe et al. 2014, Veldkamp et al., 2015a, 2015b; Vorosmarty et al., 2000; Wada et al., 2011a. In line with previous studies, we used ≤1700 m3/capita per year as the threshold for moderate water scarcity conditions. Result found under severe (≤1000 m3/capita per year) and absolute (≤500 m3/capita per year) water scarcity conditions are presented in the supplementary. Population estimates per water province were derived using downscaled socio-economic scenarios from the Shared Socio-Economic pathways (Van Vuuren et al., 2007, 2011). Following Winsemius et al (in review), we used three SSP scenarios to complement the climate projections: (1) SSP1, forms with RCP2p6 the ‘Suitability’ storyline; (2) SSP3, forms with RCP6p0 the ‘Fragmented World storyline; and (3) SSP5, forms with RCP8p5 the ‘Fossil-fuel based development’ storyline. For an extensive discussion on these storylines and the associated SSP and RCP combinations we refer to Winsemius et al. (in review).
num_resources 34
num_tags 18
title DR-GLOBAL-IVM-WCI-10