Articles | Volume 28, issue 17
https://doi.org/10.5194/hess-28-4157-2024
https://doi.org/10.5194/hess-28-4157-2024
Research article
 | 
12 Sep 2024
Research article |  | 12 Sep 2024

Making a case for power-sensitive water modelling: a literature review

Rozemarijn ter Horst, Rossella Alba, Jeroen Vos, Maria Rusca, Jonatan Godinez-Madrigal, Lucie V. Babel, Gert Jan Veldwisch, Jean-Philippe Venot, Bruno Bonté, David W. Walker, and Tobias Krueger

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This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
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Cited articles

Abbott, M. B. and Vojinovic, Z.: Towards a hydroinformatics praxis in the service of social justice, J. Hydroinform., 16, 516–530, https://doi.org/10.2166/hydro.2013.198, 2014. 
Addor, N. and Melsen, L. A.: Legacy, Rather Than Adequacy, Drives the Selection of Hydrological Models, Water Resour. Res., 55, 378–390, https://doi.org/10.1029/2018WR022958, 2019. 
Alam, M. F., McClain, M., Sikka, A., and Pande, S.: Understanding human–water feedbacks of interventions in agricultural systems with agent based models: A review, Environ. Res. Lett., 17, 103003, https://doi.org/10.1088/1748-9326/ac91e1, 2022. 
Andersson, L.: Experiences of the use of riverine nutrient models in stakeholder dialogues, Int. J. Water Resour. D., 20, 399–413, https://doi.org/10.1080/0790062042000248547, 2004. 
Babel, L. and Vinck, D.: The “sticky air method” in geodynamics: Modellers dealing with the constraints of numerical modelling, Rev. Anthropol. Connaiss., 16, https://doi.org/10.4000/rac.27795, 2022. 
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Short summary
The exact power of models often remains hidden, especially when neutrality is claimed. Our review of 61 scientific articles shows that in the scientific literature little attention is given to the power of water models to influence development processes and outcomes. However, there is a lot to learn from those who are openly reflexive. Based on lessons from the review, we call for power-sensitive modelling, which means that people are critical about how models are made and with what effects.
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