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The Global Dam Watch database of river barrier and reservoir information for large-scale applications

Authors :
Bernhard Lehner
Penny Beames
Mark Mulligan
Christiane Zarfl
Luca De Felice
Arnout van Soesbergen
Michele Thieme
Carlos Garcia de Leaniz
Mira Anand
Barbara Belletti
Kate A. Brauman
Stephanie R. Januchowski-Hartley
Kimberly Lyon
Lisa Mandle
Nick Mazany-Wright
Mathis L. Messager
Tamlin Pavelsky
Jean-François Pekel
Jida Wang
Qingke Wen
Marcus Wishart
Tianqi Xing
Xiao Yang
Jonathan Higgins
Source :
Scientific Data, Vol 11, Iss 1, Pp 1-18 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Abstract There are millions of river barriers worldwide, ranging from wooden locks to concrete dams, many of which form associated impoundments to store water in small ponds or large reservoirs. Besides their benefits, there is growing recognition of important environmental and social trade-offs related to these artificial structures. However, global datasets describing their characteristics and geographical distribution are often biased towards particular regions or specific applications, such as hydropower dams affecting fish migration, and are thus not globally consistent. Here, we present a new river barrier and reservoir database developed by the Global Dam Watch (GDW) consortium that integrates, harmonizes, and augments existing global datasets to support large-scale analyses. Data curation involved extensive quality control processes to create a single, globally consistent data repository of instream barriers and reservoirs that are co-registered to a digital river network. Version 1.0 of the GDW database contains 41,145 barrier locations and 35,295 associated reservoir polygons representing a cumulative storage capacity of 7,420 km3 and an artificial terrestrial surface water area of 304,600 km2.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20524463
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
edsdoj.7c418f1bc024f83b32278fa8aceb0f3
Document Type :
article
Full Text :
https://doi.org/10.1038/s41597-024-03752-9