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The Global Dam Watch database of river barrier and reservoir information for large-scale applications
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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 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
Scientific Data, Volume: 11
Swansea University Authors:
Carlos Garcia De Leaniz , Stephanie Januchowski-Hartley
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© The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
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DOI (Published version): 10.1038/s41597-024-03752-9
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 t...
| Published in: | Scientific Data |
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| ISSN: | 2052-4463 |
| Published: |
Springer Nature
2024
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa67939 |
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| 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. |
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| College: |
Faculty of Science and Engineering |
| Funders: |
World Wildlife Fund (World Wildlife Fund, Inc.) Identifier: doi https://doi.org/10.13039/100001399; World Bank Group (World Bank) Identifier: doi https://doi.org/10.13039/100004421; McGill University (McGill) Identifier: doi https://doi.org/10.13039/100008582; National Science Foundation (NSF) Grant: DBI-1639145 Identifier: doi https://doi.org/10.13039/100000001; Worldwide Fund for Nature (WWF) Netherlands; European Union’s Horizon 2020 FET Proactive Programme; National Socio-Environmental Synthesis Center (SESYNC); École Universitaire de Recherche H2O’Lyon; GloUrb project; Welsh European Funding Office and European Regional Development Fund. |