EGU2020-10713, updated on 24 Apr 2023
EGU General Assembly 2020
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Disentailing Sources of Future Uncertainties for Water Management Policies in a Subtropical Water System.

Alessandro Amaranto1, Matteo Giuliani1, Davide Danilo Chiarelli2, Maria Cristina Rulli2, Dinis Juizo3, and Andrea Castelletti1
Alessandro Amaranto et al.
  • 1Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy
  • 2Department of Civil and Environmental Engineering, Politecnico di Milano, Milano, Italy
  • 3Department of Civil Engineering, Eduardo Mondlane University, Maputo, Mozambique

Changing climate, growing population, and urbanization are likely to exacerbate the competition for water resources in the coming years, and to challenge the effectiveness of water management policies. In this rapidly evolving multi-stakeholder context, it is crucial to explore the sensitivity of water supply strategies to deeply uncertain climatic and socio-economic forcings, fostering the identification of policies that integrate optimality and low vulnerability against likely adverse future conditions. Here, we propose an integrated framework combining optimization, sensitivity and uncertainty analysis to retrieve the main sources of vulnerability to water management strategies across a multidimensional objective space. Our framework is tested in the Umbeluzi river, Mozambique, operated to meet three conflicting objectives: the water demand in the city of Maputo, hydropower production, and irrigation supply. Rapid urbanization, economic growth and water development plans mark the Umbeluzi as archetypal of most river basin in developing countries. The main sources of uncertainty we consider are: the projected increase in water demand following urbanization and irrigation development in the area; the magnitude of streamflow depletion due to climate change; and the completion date of the greater Maputo water supply expansion project. The optimization approach is based on Evolutionary Multi-Objective Direct Policy Search (EMODPS), while the sensitivity and uncertainty analysis are founded on the PAWN and the GLUE methods, respectively. Numerical results show that, while socio-economic and infrastructure are equally important for compromise solutions, climate becomes the most influential factor for asymmetric tradeoffs.

How to cite: Amaranto, A., Giuliani, M., Chiarelli, D. D., Rulli, M. C., Juizo, D., and Castelletti, A.: Disentailing Sources of Future Uncertainties for Water Management Policies in a Subtropical Water System., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10713,, 2020.


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