To propose an integrated runoff management tool in (peri)urban environments, the IRIP model (Intense Rainfall Runoff Indicator) has been adapted to account for the specificities of urban areas (considering high-resolution topographical data and infrastructure) and to provide maps of susceptibility to runoff production and accumulation. Once the model was proposed, the primary challenge became the evaluation of the resulting maps, using proxy data related to runoff, which is highly uncertain. An exploration of several metrics was conducted. The work demonstrates that a major effort is needed in documenting and banking proxy data related to runoff, as this remains crucial for obtaining the necessary information for evaluation and the construction of adaptive models based on continuous learning.

In France, managing urban runoff floods poses a significant challenge for local authorities, further exacerbated by the impacts of climate change and urbanization. The ORus model, developed in this study, aims to provide an operational tool for territorial planning and reducing vulnerability to this phenomenon, considering the specificities of urban and peri-urban areas. ORus is based on an in-depth analysis of runoff, incorporating the effects of urbanization on runoff production and accumulation. It also employs specific indicators, such as geomorphons for relief characterization, allowing for a precise modeling of runoff susceptibility. This multidimensional approach results in the creation of three key maps: the Susceptibility to Production Map (CSP), the Susceptibility to Upstream Production Map (CSPa), and the Susceptibility to Accumulation Map (CSA), each providing crucial information for stormwater and runoff management.The proposed evaluation of the ORus model in this work has revealed challenges related to the availability and quality of proxy data, highlighting the need for improved collection and standardization for a more robust assessment. Despite these obstacles, the results confirm the potential of the ORus model as a planning tool for managing the risks of runoff floods, offering a new perspective for developing sustainable planning strategies. Our research also emphasizes the importance of a collaborative approach for enriching databases and continuously optimizing the model. Prospects include exploring new technologies and methodologies, as well as developing partnerships with local stakeholders to facilitate the integration of the model into territorial planning practices.In summary, the ORus model represents an advancement in modeling runoff in urban and peri-urban areas, providing a solid foundation for a more integrated and source-based management of runoff flood risks. This research contributes to the scientific understanding of the phenomenon and the development of practical solutions for the resilience of territories facing climate change and urbanization.

Funding

100% ARTELIA

For more information

• Guillaume Barjot, 2024. Adaptation d’une méthode de cartographie à score pour la gestion distribuée des aires de production du ruissellement en milieux urbains, Ecole doctorale Sciences de la Terre, de l’Environnement et des Planètes (STEP). Communauté Université Grenoble Alpes, soutenance le 14 juin 2024, 267 pp, https://theses.fr/2024GRALU020 , https://theses.hal.science/tel-04710174  
• Barjot, G., Braud, I., Breil, P., 2023. Substitution des indicateurs topographiques par une approche à l’aide de géomorphons dans la méthodologie IRIP, Novatech 2023, 3-7 Juillet 2023, Lyon, 4 pp, https://hal.science/hal-04176937v1

Cite the thesis

Guillaume Barjot. Adaptation d’une méthode de cartographie à score pour la gestion distribuée des aires de production du ruissellement en milieux urbains. Hydrologie. Université Grenoble Alpes [2020-..], 2024. Français. ⟨NNT : 2024GRALU020⟩. ⟨tel-04710174⟩

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