Articles | Volume 26, issue 16
https://doi.org/10.5194/hess-26-4447-2022
https://doi.org/10.5194/hess-26-4447-2022
Research article
 | 
29 Aug 2022
Research article |  | 29 Aug 2022

Representation of seasonal land use dynamics in SWAT+ for improved assessment of blue and green water consumption

Anna Msigwa, Celray James Chawanda, Hans C. Komakech, Albert Nkwasa, and Ann van Griensven

Viewed

Total article views: 2,970 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,884 1,011 75 2,970 38 36
  • HTML: 1,884
  • PDF: 1,011
  • XML: 75
  • Total: 2,970
  • BibTeX: 38
  • EndNote: 36
Views and downloads (calculated since 11 May 2021)
Cumulative views and downloads (calculated since 11 May 2021)

Viewed (geographical distribution)

Total article views: 2,970 (including HTML, PDF, and XML) Thereof 2,839 with geography defined and 131 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
Studies using agro-hydrological models, like the Soil and Water Assessment Tool (SWAT), to map evapotranspiration (ET) do not account for cropping seasons. A comparison between the default SWAT+ set-up (with static land use representation) and a dynamic SWAT+ model set-up (with seasonal land use representation) is made by spatial mapping of the ET. The results show that ET with seasonal representation is closer to remote sensing estimates, giving better performance than ET with static land use.