ConTAM research focuses on developing technology to observe and manage mass and energy distributions and fluxes across a range of temporal and synoptic scales. Currently, the contaminant transport group emphasizes data assimilation and model-driven analysis. This work includes, for instance, the calibration of soil zone moisture, energy, and contaminant propagation models, which are then used to manage an irrigation system in real time. In addition, we use data assimilation approaches to gain the maximum return on deployment investments in the soil irrigation domain, and we model high resolution river data in terms of primary production and hydrodynamic mixing

2008 - 2009

Containment Transport and Management (ConTAM) Summary

Containment Transport and Management (ConTAM) Research Projects:

• CONTAM 01 - Multi-Scale Soil Sensor Network in Support of Groundwater Quality Protection
• CONTAM 02 - Observations in Rivers and Urban Streams: San Joaquin River Mixing Dynamics and Mass Balances
• CONTAM 03 - Embedded Networked Sensing in Soils: A Stochastic Data Assimilation Approach to Network Design and Real-time State and Parameter Estimation
• CONTAM 04 - Deploying ion selective sensors to investigate how diurnal subsurface redox cycling influences arsenic mobilization in a Bangladeshi aquifer

Full CONTAM report including all projects