Articles | Volume 24, issue 6
https://doi.org/10.5194/hess-24-2873-2020
https://doi.org/10.5194/hess-24-2873-2020
Research article
 | Highlight paper
 | 
02 Jun 2020
Research article | Highlight paper |  | 02 Jun 2020

Linking economic and social factors to peak flows in an agricultural watershed using socio-hydrologic modeling

David Dziubanski, Kristie J. Franz, and William Gutowski

Viewed

Total article views: 5,345 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
4,292 967 86 5,345 373 104 115
  • HTML: 4,292
  • PDF: 967
  • XML: 86
  • Total: 5,345
  • Supplement: 373
  • BibTeX: 104
  • EndNote: 115
Views and downloads (calculated since 21 Oct 2019)
Cumulative views and downloads (calculated since 21 Oct 2019)

Viewed (geographical distribution)

Total article views: 5,345 (including HTML, PDF, and XML) Thereof 4,824 with geography defined and 521 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Sep 2025
Download
Short summary
We describe a socio-hydrologic model that couples an agent-based model (ABM) of human decision-making with a hydrologic model. We establish this model for a typical agricultural watershed in Iowa, USA, and simulate the evolution of large discharge events over a 47-year period under changing land use. Using this modeling approach, relationships between seemingly unrelated variables such as crop markets or crop yields and local peak flow trends are quantified.
Share