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Global dataset of sand dam features and geographical distribution across drylands

  • Luigi Piemontese
  • , Lorenzo Villani
  • , Natalia Limones
  • , Jeroen C.J.H. Aerts
  • , Giulio Castelli
  • , Jessica A. Eisma
  • , Bongani Mpofu
  • , Doug Graber Neufeld
  • , Hannah Ritchie
  • , Cate Ryan
  • , Ruth Quinn
  • , Christine Whinney
  • , Elena Bresci
  • University of Florence
  • Vrije Universiteit Brussel
  • University of Seville
  • Vrije Universiteit Amsterdam
  • University of Geneva
  • University of Texas at Arlington
  • Dabane Trust Water Workshops
  • Eastern Mennonite University
  • Cranfield University
  • Auckland University of Technology
  • Department of Civil Engineering and Construction
  • Sand Dams Worldwide

Research output: Contribution to journalArticlepeer-review

Abstract

Sand dams are water infrastructure, built across ephemeral sandy rivers, that increase water supply by creating an artificial sandy aquifer upstream of the dam. Despite their effectiveness and recent traction in the research and development arena, empirical data on their distribution and characteristics are scattered and largely unreported. This gap represents a major barrier for understanding the large-scale potential of such a Nature-based Solution and for planning new installations. This paper presents a global dataset of sand dam locations and dimensions, developed collaboratively by research and development experts. We collected sand dam information from several sources, including local sand dam organizations. The data was reviewed and integrated through visual inspection in Google Earth. Although most georeferenced sand dams are from Eastern and Southern Africa, this dataset is a first global inventory and represents an invitation for others working in sand dams around the world to contribute their data. The dataset supports research on the effectiveness of sand dams and can aid practitioners with science-based criteria for sand dam development.

Original languageEnglish
Article number1929
JournalScientific Data
Volume12
Issue number1
DOIs
Publication statusPublished - Dec 2025

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