River corridors, including their adjacent and underlying sediments, are ecosystems where waters from different sources mix. This mixing controls the fate of a multitude of dissolved solutes, such as nutrients essential to the ecosystem, dissolved minerals from natural weathering, pharmaceuticals from wastewater treatment plant discharge, and contaminants from nearby sources. Practically useful computer models of how solutes are transported, including how they are exchanged back and forth between riverbed sediments and the river itself, are needed to understand water quality in rivers. Recent research suggests that these transport processes are missed by state-of-the-art computer models. This project seeks to develop a general approach to building adaptable computer models based on recently developed tools in mathematical modeling, including artificial intelligence, and to investigate how to specialize general models for particular rivers. We are generating a large database of experimental results from river transport studies from around the globe. The database will enable researchers to extract patterns associated with solute transport.