A GIS- and field-based investigation of main channel morphological sensitivity to tributary inputs at the watershed scale in Québec

Confluences are key nodes of river networks, as a result of the dynamic mixing of water, sediment, wood or ice between tributaries and receiving channels. Geomorphically active tributaries have the potential to disrupt the balance of erosional and depositional processes along main river channels, thereby resetting downstream longitudinal patterns. In turn, main channels respond to or absorb these changes as a function of their spatial and temporal sensitivity, which varies with topography, energy conditions and the system’s capacity to recover following major past events. Consequently, confluence zones are areas of increased spatial heterogeneity, with important implications for the resilience of river ecosystems and their management. However, due to their complexity, tributary-main channel interactions represent a relatively understudied component in fluvial geomorphology. The objectives of this study are to 1) improve our understanding of the morphodynamics of active confluences characterized by high sediment load tributaries based on field observations in Gaspésie, Québec and 2) propose a novel semi-automated GIS model that uses a fuzzy approach to integrate multiple key factors (unit stream power, valley confinement and sediment connectivity potential) to assess main channel confluence morphological sensitivity (CMS) to active tributaries at the scale of whole watersheds. The model was tested using digital elevation models (DEM) in Coaticook and Gaspésie watersheds, Québec. Results of the field survey showed that despite all confluences being located in a generally homogeneous geological setting, considerable disparities in the morphological effect of tributaries exist. The fuzzy GIS model was able to identify sensitive locations along the main channel associated to geomorphically active tributaries and has thus the potential to be used as part of watershed geomorphic assessments, particularly when high-resolution (LiDAR) DEMs are available. These findings highlight the spatially contingent distribution of resisting and impelling forces along main channels, including tributary-main channel interactions, in influencing river behaviour