Understanding and improving the functioning of stormwater nature-based solutions under climate extremes – Towards a unified modeling framework for the GreenStorm project

Autor/innen

  • Emmanuel Berthier Centre d'Études et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement image/svg+xml Autor/in
  • Ahmeda Assann Ouédraogo Centre d'Études et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement image/svg+xml Autor/in
  • Jérémie Sage Centre d'Études et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement image/svg+xml Autor/in
  • Konstantinos Soulis Agricultural University of Athens image/svg+xml Autor/in
  • Ico Broekhuizen Luleå University of Technology image/svg+xml Autor/in
  • Anna Palla Universität Genua image/svg+xml Autor/in
  • Marie-Christine Gromaire Institut Polytechnique de Paris image/svg+xml , Université Paris-Est Créteil image/svg+xml , Laboratoire Eau, Environnement et Systèmes Urbains image/svg+xml , École nationale des ponts et chaussées image/svg+xml Autor/in

DOI:

https://doi.org/10.71573/1eas3g80

Schlagwörter:

storm water nature-based solutions, unified framework, development, evaluation

Abstract

The European GreenStorm project aims to better deploy nature-based solutions for the adaptation to different climate extremes. The project focuses on stormwater management solutions (NBSSW ), across a diversity of types and climates. A key step in the project is to develop and use a unified modeling framework at the facility scale to improve both their design and performance assessment. Based on a set of previously monitored of NBSSW constituted by the GreenStorm project consortium, a generic hydrological operating diagram is first proposed, illustrating the main physical processes to consider. Drawing from this diagram, the Hydrus software has been selected but some limitations have at the same time been pre-identified, pointing to areas for consolidating the modeling approach. A single method for evaluating and using the modeling framework is also proposed, in a view to its use in predictive mode: for a given NBSSW, it combines a large number of simulations run with prior parameters intervals, the characterization of the observations corresponding to the climatic extremes of interest, a sensitivity study to identify influential and non-influential parameters, an identification of acceptable simulation and set of parameters, and an analyze how close/different is the accepted parameter distribution compared to prior one.

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Veröffentlicht

2026-03-27