Articles | Volume 24, issue 6
Hydrol. Earth Syst. Sci., 24, 2873–2894, 2020
Hydrol. Earth Syst. Sci., 24, 2873–2894, 2020

Research article 02 Jun 2020

Research article | 02 Jun 2020

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

David Dziubanski et al.

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Cited articles

Ahn, K. H. and Merwade, V.: Quantifying the relative impact of climate and human activities on streamflow, J. Hydrol., 515, 257–266,, 2014. 
An, L.: Modeling human decisions in coupled human and natural systems: Review of agent-based models, Ecol. Model., 229, 25–36,, 2012. 
An, L., Linderman, M., Qi, J., Shortridge, A., and Liu, J.: Exploring Complexity in a Human–Environment System: An Agent-Based Spatial Model for Multidisciplinary and Multiscale Integration, Ann. Assoc. Am. Geogr., 95, 54–79,, 2005. 
Arbuckle, J. G.: Iowa Farm and Rural Life Poll 2016 Summary Report, Iowa State University Extension and Outreach, Ames, IA, 2017. 
Arbuckle, J. G., Morton, L. W., and Hobbs, J.: Understanding farmer perspectives on climate change adaptation and mitigation: the roles of trust in sources of climate information, climate change beliefs, and perceived risk, Environ. Behav., 47, 205–234,, 2013. 
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.