Water Quality Modeling
Our experience with water quality and hydrodynamic modeling is focused on pollutant transformations over the watershed scale, and involves processes that create cumulative effects. Remotely sensed data offer spatially continuous inputs for analysis and modeling and are used extensively in our modeling efforts. LiDAR and hydroacoustics offer high-resolution, spatially continuous inputs for analysis and modeling. Thermal infrared imagery provides baseline calibration data for reach and basin scale stream temperature models such as Heat Source.
Modeled temperature change resulting from river restoration
