Articles | Volume 22, issue 2
https://doi.org/10.5194/hess-22-1337-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-1337-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Opinion article
| 
23 Feb 2018
Opinion article |
| 23 Feb 2018
| 23 Feb 2018
Norms and values in sociohydrological models
Mahendran Roobavannan
School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NSW, Australia
Tim H. M. van Emmerik
Department of Water Management, Delft University of Technology, Delft, the Netherlands
Yasmina Elshafei
School of Earth & Environment, University of Western Australia, Crawley, WA 6009, Australia
Jaya Kandasamy
CORRESPONDING AUTHOR
School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NSW, Australia
Matthew R. Sanderson
Department of Sociology, Kansas State University, Manhattan, KS 66506, USA
Saravanamuthu Vigneswaran
School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NSW, Australia
Saket Pande
Department of Water Management, Delft University of Technology, Delft, the Netherlands
Murugesu Sivapalan
Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USA
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- An operational sociohydrological model to understand the feedbacks between community sensitivity and environmental flows for an endorheic lake basin, lake Bakhtegan, Iran M. Amirkhani et al. 10.1016/j.jhydrol.2021.127375
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Latest update: 18 Apr 2024
Short summary
This paper reviews a relevant social science that links cultural factors to environmental decision-making and assesses how to better incorporate its insights to enhance sociohydrological (SH) models and the knowledge gaps that remain to be filled. The paper concludes with a discussion of challenges and opportunities in terms of generalization of SH models and the use of available data to facilitate future prediction and allow model transfer to ungauged basins.
This paper reviews a relevant social science that links cultural factors to environmental...
