Articles | Volume 14, issue 2
https://doi.org/10.5194/essd-14-559-2022
https://doi.org/10.5194/essd-14-559-2022
Data description paper
 | 
09 Feb 2022
Data description paper |  | 09 Feb 2022

Distribution and characteristics of wastewater treatment plants within the global river network

Heloisa Ehalt Macedo, Bernhard Lehner, Jim Nicell, Günther Grill, Jing Li, Antonio Limtong, and Ranish Shakya

Viewed

Total article views: 13,965 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
9,805 3,999 161 13,965 737 139 158
  • HTML: 9,805
  • PDF: 3,999
  • XML: 161
  • Total: 13,965
  • Supplement: 737
  • BibTeX: 139
  • EndNote: 158
Views and downloads (calculated since 04 Aug 2021)
Cumulative views and downloads (calculated since 04 Aug 2021)

Viewed (geographical distribution)

Total article views: 13,965 (including HTML, PDF, and XML) Thereof 13,216 with geography defined and 749 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Latest update: 29 Jun 2024
Download
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.
Altmetrics
Final-revised paper
Preprint