Articles | Volume 10, issue 3
https://doi.org/10.5194/essd-10-1673-2018
https://doi.org/10.5194/essd-10-1673-2018
Review article
 | 
13 Sep 2018
Review article |  | 13 Sep 2018

Deriving a dataset for agriculturally relevant soils from the Soil Landscapes of Canada (SLC) database for use in Soil and Water Assessment Tool (SWAT) simulations

Marcos R. C. Cordeiro, Glenn Lelyk, Roland Kröbel, Getahun Legesse, Monireh Faramarzi, Mohammad Badrul Masud, and Tim McAllister

Viewed

Total article views: 5,236 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,866 1,270 100 5,236 370 104 112
  • HTML: 3,866
  • PDF: 1,270
  • XML: 100
  • Total: 5,236
  • Supplement: 370
  • BibTeX: 104
  • EndNote: 112
Views and downloads (calculated since 22 Aug 2017)
Cumulative views and downloads (calculated since 22 Aug 2017)

Viewed (geographical distribution)

Total article views: 5,236 (including HTML, PDF, and XML) Thereof 4,764 with geography defined and 472 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Nov 2024
Download
Short summary
The Soil and Water Assessment Tool (SWAT) is one of the most used hydrological models worldwide. Lack of soil datasets in a SWAT-ready format hinders application of this model. This work discusses the preparation of a soil dataset for the agricultural extent of Canada compiled from the publicly available Soil Landscapes of Canada (SLC) database. Estimations of the hydrologic soil groups and erodibility factor variables not reported in the SLC database are important contributions of this work.
Altmetrics
Final-revised paper
Preprint