Understanding how rainfall becomes river flow is essential for effective water management, yet complex computer models are often difficult to interpret. This study developed an efficient approach, supported by artificial intelligence, to identify where and how key model parameters influence river flow across different scales. The results reveal clear spatial differences and highlight critical areas controlling runoff, improving model reliability and supporting better water management decisions.