Management of surface water quality is often complicated by interactions between surface water and groundwater. Traditional Land-Surface Models (LSM) used for numerical weather prediction, climate projection, and as inputs to water management decision support systems, do not treat the lower boundary in a fully process-based fashion. LSMs have evolved from a leaky bucket to more sophisticated land surface water and energy budgets that typically have a so-called basement term to depict the bottom model layer exchange with deeper aquifers. Nevertheless, the LSM lower boundary is often assumed zero flux or the soil moisture content is set to a constant value, an approach that while mass conservative, ignores processes that can alter surface fluxes, runoff, and water quantity and quality. Conversely, models for saturated and unsaturated water flow, while addressing important features such as subsurface heterogeneity and three-dimensional flow, often have overly simplified upper boundary conditions that ignore soil heating, runoff, snow, and root-zone uptake. In the present study, a state-of-the-art LSM (CLM) and a variably-saturated groundwater model (ParFlow) have been coupled as a single column model. An initial set of simulations based on data from the Project for Intercomparison of Landsurface Parameterization Schemes (PILPS) and synthetic data demonstrate the temporal dynamics of both of the coupled models. Changes in soil moisture and movement of the water table are used as indicators of conservation of mass between the two models. Sensitivity studies demonstrate the affect of precipitation, evapotranspiration, radiation, subsurface geology, and heterogeneity on predicted watershed flow. Studies demonstrating the effects of watershed flow in uncoupled and coupled modes are presented. The coupled model will ultimately be used to assist in the development of Total Maximum Daily Loads (TMDLs, a surface water quality standard) for a number of pollutants in an urban watershed in southern California in the United States.
All Science Journal Classification (ASJC) codes
- Water Science and Technology
- Geotechnical Engineering and Engineering Geology
- Ocean Engineering
- Mechanical Engineering