ABSTRACT:

Karst aquifers are important water resources all over the globe. Due to the fractured and dissolved geology in karst aquifers, the exchange between stream and groundwater is difficult to quantify. One method for estimating stream and groundwater exchange is solving a mass balance at the reach scale (Neilson et al. 2018). Primarily, a mass balance requires discharge and concentration data for a conservative constituent such as sodium or chloride. Secondarily, a mass balance requires several assumptions to limit the unknowns. Variations in which concentration data and assumptions are used in the mass balance produce numerous estimations of exchange rates between stream and groundwater for many scenarios. The purpose of this resource was to effectively store exchange rate estimates for various scenarios and provide an accessible interface to analyze the scenario estimates for 26 reaches in Logan Canyon. This resource includes an SQLite database that stores the estimate and scenario data. Then, the database was populated by linking it to the mass balance model. Additionally, GIS was used to obtain geologic layer data, a portion of this data was also added to the database. The Jupyter Notebook included in this resource analyzes the model output and examines the sensitivity of the model to parameters such as assumptions and data input.