Advancing integrated river basin management and flood forecasting in the Cagne catchment: a combined approach using deterministic distributed models

Abstract

To achieve an integrated river basin management for the Cagne catchment (France) and better predict floods, various modelling tools are integrated within a unified framework, forming a decision support system (DSS). In the paper, an integrated modeling approach employing deterministic distributed hydrological (MIKE SHE), hydraulic (MIKE 21 FM), and hydrogeological (FEFLOW) models is presented. The hydrological model was validated with recorded data and following a sensitivity analysis for optimizing grid resolution with 20 m. The hydraulic model based on MIKE 21 FM utilizes the results generated by the MIKE SHE model as boundary conditions, producing inundation maps for both normal and extreme periods. The hydrogeological model addresses the various complex relationships taking place within the catchment and was validated with piezometer data. The integration of these three models into a DSS provides a valuable tool for decision-makers to manage the Cagne catchment and the water-related issues more effectively during various hydrological situations. This comprehensive modelling framework underscores the importance of interdisciplinary approaches for addressing complex hydrological processes and contributes to improved flood management strategies in the catchment. HIGHLIGHTS This study combines hydrological, hydraulic, and hydrogeological modeling techniques to do integrated water management and flood forecasting.; This study concentrates on a small-scale catchment, employing high-resolution data to achieve a more detailed and comprehensive analysis.; This study integrates an underground canal into urban flood management, offering a more precise depiction of urban flood dynamics.;

Keywords

• decision support system (dss)
• deterministic distributed hydrological model
• flood forecasting
• hydraulic model
• real-time
• river basin management