Near channel (or riverine) dynamics can have a disproportionately large impact on river water quality. Examples include sediment and phosphorus inputs from bank erosion, nutrient removal in floodplains or backwaters, and transformations of nutrients within stream channels. However, many near channel processes are spatially localized and temporally episodic, making it difficult to quantify their effect on water quality or predict their response to climate change or land management. We seek presentations that quantify or predict the contribution of near channel dynamics to water quality at watershed scales, including approaches such as 1) remote sensing, 2) in-situ measurements, 3) identification of landscapes most sensitive to near channel processes, and 4) incorporating near channel processes into watershed-scale biophysical models.