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Preprints
https://doi.org/10.5194/essd-2020-188
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2020-188
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  19 Aug 2020

19 Aug 2020

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This preprint is currently under review for the journal ESSD.

Dataset of Georeferenced Dams in South America (DDSA)

Bolivar Eduardo Paredes-Beltran1,2, Alvaro Sordo-Ward1, and Luis Garrote1 Bolivar Eduardo Paredes-Beltran et al.
  • 1Department of Civil Engineering: Hydraulics, Energy and Environment, Universidad Politécnica de Madrid, Madrid, 28040, Spain
  • 2Carrera de Ingeniería Civil, Facultad de Ingeniería Civil y Mecánica, Universidad Técnica de Ambato, Ambato, 180206, Ecuador

Abstract. Dams and their reservoirs generate major impacts on society and the environment. In general, its relevance relies on facilitating the management of water resources for anthropogenic purposes, however, dams could also generate many potential adverse impacts related to safety, ecology or biodiversity. These factors, and the additional effects that climate change could cause in these infrastructures and their surrounding environment, highlight the importance of dams and the necessity for their continuous monitoring and study. There are several studies examining dams both at regional and global scale, however, those that include the South America region focus mainly on the most renowned basins (primarily the Amazon basin), most likely due to the lack of records on the rest of the basins of the region. For this reason, a consistent database of georeferenced dams located in South America is presented: Dataset of georeferenced dams in South America DDSA. It contains 1,010 entries of dams with a combined reservoir volume of 1,017 cubic kilometres and it is presented in form of a list describing a total of 24 attributes that include the dams name, characteristics, purposes and georeferenced location. Also, hydrological and additional information on the dam’s catchments is also included: catchment area, mean precipitation, mean near-surface temperature, mean potential evapotranspiration, mean runoff, population and equipped area for irrigation. Information was obtained from public records, governments records, existing international databases and from extensive internet research. Each register was validated individually and geolocated using public access online map browsers and then, hydrological and additional information was derived from a hydrological model computed using the Hydrosheds dataset. With this database, we expect to contribute the development of new research in this region. The database is publicly available in https://doi.org/10.5281/zenodo.3885280.

Bolivar Eduardo Paredes-Beltran et al.

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Bolivar Eduardo Paredes-Beltran et al.

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Short summary
We present a dataset of 1,010 entries of dams in South America describing several attributes such as the dams name, characteristics, purposes, georeferenced ocation and also relevant data on the dam’s catchments. Information was obtained from extensive research through numerous sources and then validated individually. With this work we expect to contribute to the development of new research in the region, which to this date has been limited to certain basins due to the absence of information.
We present a dataset of 1,010 entries of dams in South America describing several attributes...
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