This study investigates the relationship between channel complexity and nutrient spiraling along 31 reaches of an urbanized watershed in Portland, Oregon. Much research shows that urbanization has an effect on watershed hydrology and nutrient loading at the watershed scale for various sized catchments. However, the flux of nutrients over short reaches within a stream channel has been less studied because of the effort and costs associated with fieldwork and subsequent laboratory analysis of the surface water samples. In this study I measure channel complexity and uptake velocity of nitrate to determine if this relationship is indicative of a healthy, functioning stream. I take field measurements and samples to determine the complexity and uptake velocity of each reach. Using ion-selective electrodes, the fluxes of nitrate were measured within each reach; when combined with channel geometry and velocity measurements these measurements allow for the transformation of nitrate fluxes into spiraling metrics. Results show that 18 of the 31 reaches had uptake velocity. Discharge and sinuosity were positively correlated with nitrate uptake velocity. Complexity and nitrate concentration were negatively correlated with nitrate uptake velocity. Grass landcover was positively correlated with nitrate uptake velocity and negatively correlated with nitrate concentration. These results indicate that land use and channel complexity both are related to the in-stream processing of nitrate. The implication of this study is that channel complexity is an important driver of nutrient flux in an urban watershed, and that this technique can be applied in future studies to better characterize water quality of stream channels over short reaches to entire catchments.

The Stephens Creek Watershed in southwest Portland, Oregon was chosen by the city as a pilot project for urban stream restoration efforts, and the infiltration of stormwater was identified as a potential restoration strategy. The Stephens Creek Watershed has historically been known to be unstable during high precipitation events (Burns, 1996), and the need to address the response of slope stability to anthropogenically-driven changing groundwater conditions is the focus of this study. Airborne light detection and ranging (LiDAR) and geotechnical data from the City of Portland were employed to create a high resolution (0.84 m2) physics-based probabilistic slope stability model for this watershed, using the map-based probabilistic infinite slope analysis program PISA-m (Haneberg, 2007). Best and worst case models were run using fully dry and fully saturated soil conditions, respectively. Model results indicate that 96.3% of the watershed area had a probability [less than or equal to] 0.25 that the slope factor of safety (FOS) was [less than or equal to] 1 for fully dry conditions, compared to 76.4% for fully saturated conditions. Areas that had a probability [greater than or equal to] 0.25 that the slope factor of safety (FOS) was [less than or equal to] 1 were found to occur mainly along cut/fill slopes as well as within the deeply incised canyons of Stephens Creek and its tributaries. An infiltration avoidance map was derived to define areas that appear to be unsuitable for infiltration. Based on these results, it is recommended that stormwater continues to be directed to existing sewer infrastructure and that the "storm water disconnect" restoration approach not be used by the city.