Stream turbidity modeling: a foundation for water quality forecasting

Streams and rivers provide many important functions and services for society, of which many depend not only on the quantity of water available, but also the stream water quality. While quantity (i.e., streamflow) is routinely forecast for many U.S. streams several days into the future, the forecasting of stream water quality remains relatively limited. This dissertation utilizes the extensive existing networks of observed and forecast streamflow, precipitation and air temperature as the basis for practical forecasting of stream turbidity for three days into the future.