Articles | Volume 14, issue 2
https://doi.org/10.5194/essd-14-559-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-559-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Distribution and characteristics of wastewater treatment plants within the global river network
Heloisa Ehalt Macedo
CORRESPONDING AUTHOR
Department of Geography, McGill University, Montreal, QC H3A 0B9,
Canada
Bernhard Lehner
CORRESPONDING AUTHOR
Department of Geography, McGill University, Montreal, QC H3A 0B9,
Canada
Jim Nicell
Department of Civil Engineering, McGill University, Montreal, QC H3A
2K7, Canada
Günther Grill
Department of Geography, McGill University, Montreal, QC H3A 0B9,
Canada
Jing Li
Department of Civil Engineering, McGill University, Montreal, QC H3A
2K7, Canada
Antonio Limtong
Department of Geography, McGill University, Montreal, QC H3A 0B9,
Canada
Ranish Shakya
Department of Geography, McGill University, Montreal, QC H3A 0B9,
Canada
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Latest update: 18 Apr 2024
Short summary
We introduce HydroWASTE, a spatially explicit global database of 58 502 wastewater treatment plants (WWTPs) and their characteristics to understand the impact of discharges from such facilities. HydroWASTE was developed by compiling regional datasets and using auxiliary information to complete missing characteristics. The location of the outfall of the WWTPs into the river system is also included, allowing for the identification of the waterbodies most likely affected.
We introduce HydroWASTE, a spatially explicit global database of 58 502 wastewater treatment...
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