This research extends the continuum of studies exploring various variable categories and their implications for firefighters. The motivation stems from recognizing that river height, while it may impact the environment, is generally an immediate priority for firefighting interventions. Firefighters are primarily called for emergencies, prompting consideration of how river height, despite its environmental impact, could influence their operations. In this context, our investigation aims to comprehensively assess how river height influences firefighter interventions, with a particular emphasis on their frequency. The study’s relevance is underscored by the significant impacts of flooding risks on the environment. Notably, in France, 23% of accidental drownings occurred in rivers, representing a major cause of death according to a public health survey in 2021, highlighting the critical nature of our research. Over nine years, from 2015 to 2024, our methodology encompasses data preparation, thorough analysis, and the application of the predictive XGBoost model, renowned for its speed and resilience to outliers. The iterative training pipeline selects features that improve the RMSE score over a 24-hour horizon, emphasizing the crucial importance of variables related to river height, particularly across all horizons. The main conclusion drawn from this study is that these variables exert an immediate and persistent impact on interventions, suggesting increased relevance for predicting outcomes over the entire duration. This precision in understanding models associated with the presence or absence of river flooding offers a practical approach to anticipate resource management, improve firefighter response times, and contribute to saving lives by mitigating intervention failures during major incidents. This study initiates a comprehensive exploration of variable families to understand the factors influencing firefighting activities.