Abstract

We present one of the most comprehensive geo-referenced global dam databases to date. The Global Dam Tracker (GDAT) contains 35,000 dams with cross-validated geo-coordinates, satellite-derived catchment areas, and detailed attribute information. Combining GDAT with fine-scaled satellite data spanning three decades, we demonstrate how GDAT improves upon existing databases to enable the inter-temporal analysis of the costs and benefits of dam construction on a global scale. Our findings show that over the past three decades, dams have contributed to a dramatic increase in global surface water coverage, especially in developing countries in Asia and South America. This is an important step toward a more systematic understanding of the worldwide impact of dams on local communities. By filling in the data gap, GDAT would help inform a more sustainable and equitable approach to energy access and economic development.

Details

Title
Global Dam Tracker: A database of more than 35,000 dams with location, catchment, and attribute information
Author
Zhang, Alice Tianbo 1   VIAFID ORCID Logo  ; Gu, Vincent Xinyi 2 

 Washington and Lee University, Department of Economics, Lexington, USA (GRID:grid.268042.a) 
 Georgia Institute of Technology, School of Public Policy, Atlanta, USA (GRID:grid.213917.f) (ISNI:0000 0001 2097 4943) 
Pages
111
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2779285030
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.