Novel predictors related to hysteresis and baseflow improve predictions of watershed nutrient loads: An example from Ontario's lower Great Lakes basin
Kelly Biagi, Cody A. Ross, Claire Oswald, Ryan J. Sorichetti, Janis L. Thomas, Christopher Wellen
Abstract
load predictions mirrored that of the hydrologic regime. This study showed that parsimonious GAMs featuring novel model predictors can be used to predict nutrient loads while accounting for the partitioning of surface and subsurface flow paths and hysteresis between streamflow and water quality parameters that are frequently observed in a wide range of environments.
Topics & Concepts
BaseflowEnvironmental scienceHydrographWater qualityStreamflowHydrology (agriculture)WatershedEutrophicationNutrientSurface runoffPrecipitationSTREAMSDrainage basinEcologyMeteorologyComputer scienceGeographyGeologyCartographyBiologyMachine learningGeotechnical engineeringComputer networkSoil and Water Nutrient DynamicsHydrology and Watershed Management StudiesFish Ecology and Management Studies