{
  "sources": [],
  "title": "Aqueduct 4.0: Updated decision-relevant global water risk indicators",
  "url": "https://thebalanceofhealth.com/sources/wri-aqueduct-water-risk-atlas-2023",
  "publisher": "The Balance of Health",
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "record": {
    "status": "reviewed",
    "id": "src-wri-aqueduct-2023",
    "slug": "wri-aqueduct-water-risk-atlas-2023",
    "title": "Aqueduct 4.0: Updated decision-relevant global water risk indicators",
    "authors": [
      "Samantha Kuzma",
      "Marc F. P. Bierkens",
      "Shivani Lakshman",
      "Tianyi Luo",
      "Liz Saccoccia",
      "Edwin H. Sutanudjaja",
      "Rens van Beek"
    ],
    "organisation": "World Resources Institute",
    "publication": "WRI Technical Note",
    "year": 2023,
    "url": "https://www.wri.org/aqueduct",
    "sourceType": "dataset",
    "studyType": "modelling",
    "topicIds": [
      "water"
    ],
    "pillarIds": [
      "environment"
    ],
    "geography": "Global, by country and river basin",
    "keyFindings": [
      "Baseline water stress is scored 0–5 by basin and aggregated to countries; a quarter of the world's population lives in extremely high water-stress countries.",
      "Water footprints are only meaningful for scarcity once weighted by where the water was withdrawn."
    ],
    "supportsClaimIds": [],
    "challengesClaimIds": [],
    "limitations": [
      "Country averages hide large differences between basins within a country.",
      "Scarcity-weighted food footprints depend on assumptions about where each food is grown."
    ],
    "quality": "moderate",
    "qualityRationale": "Widely used reference dataset; weighting of food water use is a modelling step with its own assumptions."
  }
}