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OF THE DISSERTATION QUANTIFYING THE EFFECTS OF TEMPERATURE AND CONCENTRATION ON VARIABLE-DENSITY FLOW IN NUMERICAL MODELING OF GROUNDWATER SYSTEMS: IMPLICATIONS FOR PREDICTIVE UNCERTAINTY AND DATA COLLECTION by Alyssa Marie Dausman Florida International University, 2008 Miami, Florida Professor Michael C. Sukop, Major Professor Groundwater systems of different densities are often mathematically modeled to understand and predict environmental behavior such as seawater intrusion or submarine groundwater discharge. Additional data collection may be justified if it will costeffectively aid in reducing the uncertainty of a model's prediction. The collection of salinity, as well as, temperature data could aid in reducing predictive uncertainty in a variable-density model. However, before numerical models can be created, rigorous testing of the modeling code needs to be completed. This research documents the benchmark testing of a new modeling code, SEAWAT Version 4. The benchmark problems include various combinations of density-dependent flow resulting from variations in concentration and temperature. The verified code, SEAWAT, was then applied to two different hydrological analyses to explore the capacity of a variabledensity model to guide data collection.

Quantifying the effects of temperature and concentration on variable-density flow in numerical modeling of groundwater systems : implications for predictive uncertainty and data collection