Lawrence Berkeley National Lab

Advanced Simulation Capability for Environmental Management (ASCEM)

PI: Deb Agarwal (Data Management Task Co-Lead)
Arie Shoshani (Data Management Task Co-Lead)
Collaborators: Los Alamos National Laboratory, Oak Ridge National Laboratory, Pacific Northwest National Laboratory, and Savannah River National Laboratory

A Department of Energy project, ASCEM was formed in 2009 to create an integrated approach that creates a modeling platform with a high performance computing (HPC) framework and several user application toolsets that together allow full integration between data, simulations, and uncertainty assessment. ASCEM’s new developments will allow EM researchers to address larger and more intricate problems necessity in dealing with the challenging waste sites in the EM complex. A key result of ASCEM’s advances will be the creation of next-generation performance assessment (PA) capabilities for EM, made possible by vastly improving on today’s predictive capabilities. These enhanced capabilities will allow for more realistic modeling of key processes and uncertainty to support improved decision-making for the most difficult EM problems, while maintaining the ability to continue to solve less complex problems with simplified representations in the same platform.

Updating DOE-EM’s simulation capability with the most advanced scientific understanding will boost regulatory acceptance of predictions that support decisions on the management and disposition of challenging waste. It will provide a consistent approach for performance and risk assessment that site personnel and regulators can use to guide and assess remedial actions (including natural attenuation), site closure, and long-term waste management decisions. Through advancing EM simulation capabilities, it will increase public confidence in the reliability of EM decision-making.


Please see the publications page.