SAFL researchers take an interdisciplinary approach to environmental problems, focusing on how the fluid and sediment dynamics of surface processes interact with biological and chemical processes. We conduct laboratory- and field-scale studies of these processes in order to develop quantitative, predictive computational models that support sustainable landscape management. By employing statistical modeling methodologies, we can integrate nonlinear and non-equilibrium functional dependencies of controlling physical, biological, and chemical processes across the range of scales. This enables a mechanistic foundation for formulating process-based prediction models.
- Watersheds – Modeling the ecosystem, landscape, and land-use dynamics at the watershed scale
- Lakes, Rivers, and Streams – Studying interactions between physical, biological, and chemical processes within fluvial systems
- Urban Environments – Understanding change in land use; runoff generation; and transport of particles, contaminants and microbiota in sewers, subsurface, ponds, wetlands, lakes, and rivers
- Deltas – Developing predictive understandings of how deltas grow and respond to stress from various changes