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: 6,047 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
4,763 1,166 118 6,047 524 143 169
  • HTML: 4,763
  • PDF: 1,166
  • XML: 118
  • Total: 6,047
  • Supplement: 524
  • BibTeX: 143
  • EndNote: 169
Views and downloads (calculated since 21 Oct 2019)
Cumulative views and downloads (calculated since 21 Oct 2019)

Viewed (geographical distribution)

Total article views: 6,047 (including HTML, PDF, and XML) Thereof 5,513 with geography defined and 534 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 23 Jun 2026
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